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Rule feed

Paper modules carry typed handles into the same static rule lattice used by the Doctrine reference page. The browser reads this precomputed feed from content-graph.json; it does not fetch source JSON or run a backend.

Principles
20 records · 483 module links
Axioms
12 records · 385 module links
Anti-principles
17 records · 0 module links
Concepts
11 records · 107 module links
Mechanisms
105 records · 119 module links
Paper modules
103 records · 223 module links

Principles, axioms, and anti-principles read on Doctrine; concepts and mechanisms read in the Doctrine reference until a separate body route exists. This page projects only the counts and each module's direct source-declared handles.

Verifier Lab KernelThe public verifier-lab composition root folds bounded formal-math component result records into one leak-proof result record while separating verifier-backed, oracle-compared, provider-suggested, retrieval-miss, CP2, Evolve, and contract-rejected rows.Paper module

Verifier Lab Kernel is the public result record compiler for the formal-math fixture cohort. It runs or consumes named component result records, classifies proof-lab rows by authority class, preserves scope boundaries, and excludes proof/provider/oracle bodies from exported result records.

Contains 24 sections1 diagram5 references4 context groups

Scope limit Public fixture and exported-bundle result records only; no theorem-prover authority, Mathlib import authority, oracle-to-forward success, provider proof authority, benchmark solve-rate claim, launch-scope decision, publishing-scope decision, source-file changes, or secret export.

Source module src/microcosm_core/organs/verifier_lab_kernel.py

Source part runrun_kernel_bundle_build_result_write_receipts

Navigation Hologram Route PlaneThe public navigation route-plane fixture validates bounded route projections, source-coupling gates, entry floors, affordance passports, and copied navigation source-module digests without treating browse rows as authority.Paper module

Navigation Hologram Route Plane is the public route-surface validator for moving from a Microcosm-local control entry into browsable route projections. It checks route rows, source-coupling fingerprints, copied source-module anchors and hashes, route-lease policy, entry-packet floors, affordance-passport selection, and code-architecture projection packets while keeping full source bodies out of result records.

Contains 22 sections1 diagram6 references4 context groups

Scope limit Public fixture and exported-bundle result records only; no live route freshness, source authority, provider/live-kernel execution, private operator state, later-component authorization, launch-scope decision, or whole-wave certification.

Source module src/microcosm_core/organs/navigation_hologram_route_plane.py

Source part runrun_route_plane_bundlevalidate_exported_route_rowsvalidate_source_module_manifest+1

Agent Route Observability RuntimeThe public route-observability fixture validates synthetic route feedback, route leases, hook-shadow advisory rows, anti-pattern debt, copied source trace manifests, and metadata-only result records without claiming live session authority.Paper module

Agent Route Observability Runtime is the public evidence membrane for recorded agent route feedback. It checks actor-axis boundaries, selected and replacement routes, route-lease consumption, duplicate trace ids, hook-shadow advisory status, anti-pattern debt retirement, agent-principle-lens admission, egress-mirror boundaries, source-module manifests, and non-public-state exclusion while keeping transcript, provider, browser, HUD, account, account secret, and live-hook bodies out of result records.

Contains 31 sections1 diagram5 references4 context groups

Scope limit Public synthetic route-observability fixtures, copied source body digests, and exported-bundle result records only; no live session introspection, provider/browser UI/account authority, live hook control, benchmark-performance proof, source-file changes, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/agent_route_observability_runtime.py

Source part runrun_observability_bundlerun_agent_observability_store_bundlevalidate_route_compliance+2

Agent Benchmark Integrity Anti-Gaming ReplayThe agent benchmark integrity anti-gaming replay validates copied public source pattern provenance bodies and metadata-only benchmark replay rows before any score-like language is allowed.Paper module

Agent Benchmark Integrity Anti-Gaming Replay is the public benchmark-claim boundary for Microcosm. It checks locked evaluator ids and config hashes, declared benchmark case rosters, replay rows, file-access and contamination refs, trusted-reference score refs, output-replay refs, computed-vs-declared integrity verdicts, three copied source pattern provenance bodies, and eleven anti-gaming negative cases while keeping private issue, oracle patch, hidden-gold, provider, raw patch, and score payload bodies out of result records.

Contains 22 sections1 diagram5 references4 context groups

Scope limit Copied public source pattern provenance bodies and metadata-only synthetic benchmark-integrity replay result records only; no benchmark claims, SWE-bench performance claim, hidden-gold access, oracle patch body export, private issue body export, external model access, live repository mutation, launch-scope decision, publishing-scope decision, source-file changes, or product-progress evidence.

Source module src/microcosm_core/organs/agent_benchmark_integrity_anti_gaming_replay.py

Source part runrun_benchmark_integrity_bundlevalidate_source_module_importsvalidate_public_trace+4

Research Replication Rubric Artifact ReplayThe research replication rubric-artifact replay validates source-backed public replication bundles before any paper-replication language is allowed.Paper module

Research Replication Rubric Artifact Replay is the public research-replication claim boundary for Microcosm. It checks contribution decomposition refs, rubric trees, allowed public inputs, scratch repo scaffolds, experiment DAG refs, metric scripts, declared artifact-hash rosters, artifact hashes, grader reports, compute/runtime budgets, ablation diffs, failure taxonomies, cold-rerun result records, public agent-execution trace spans, four copied source modules, and eight replication-overclaim negative cases while keeping private paper/data bodies, hidden rubrics, model-output data, original-author code bodies, benchmark claims, and public-sharing claims out of result records.

Contains 21 sections1 diagram3 references4 context groups

Scope limit Copied public source pattern provenance bodies, exact-copy public Python internal control body, metadata-only research-replication replay result records, public agent-execution trace spans, and fixture validation only; no actual paper replication success, benchmark performance claim, private paper/data body export, hidden-rubric export, external model access, unbounded compute search, original-author code reuse, launch-scope decision, publishing-scope decision, source-file changes, or product-progress evidence.

Source module src/microcosm_core/organs/research_replication_rubric_artifact_replay.py

Source part runrun_replication_bundlevalidate_source_module_importsvalidate_projection_protocol+4

Agentic Vulnerability Discovery Patch-Proof ReplayThe agentic vulnerability discovery patch-proof replay validates metadata-only synthetic vulnerability evidence chains before any found-and-fixed security language is allowed.Paper module

Agentic Vulnerability Discovery Patch-Proof Replay is the public security-claim boundary for Microcosm. It checks projection protocol, vulnerability policy, synthetic target refs, issue hypotheses, trace evidence, abstract exploitability refs, patch diff refs, regression tests, verifier result records, sandbox verdicts, false-positive triage, cold replay, public agent-execution trace spans, secret-exclusion scan, nine copied source/control/standard/tool bodies, source-module manifest digests, metadata-only result record policy, and eight security-overclaim negative cases while keeping live targets, real CVE exploitation, weaponized payloads, account secrets, network exfiltration steps, actionable exploit instructions, model-output data, raw issue or patch bodies, benchmark claims, and source-file changes out of result records.

Contains 23 sections1 diagram6 references4 context groups

Scope limit Copied public source/control/standard/tool bodies, metadata-only synthetic patch-proof replay result records, public agent-execution trace spans, and fixture validation only; no live target testing, real CVE exploitation, weaponized payload export, account secret handling, network exfiltration, actionable exploit instructions, external model access, source-file changes, benchmark security score, launch-scope decision, publishing-scope decision, whole-system security claim, or product-progress evidence.

Source module src/microcosm_core/organs/agentic_vulnerability_discovery_patch_proof_replay.py

Source part runrun_patch_proof_bundle_source_module_manifest_result_source_open_body_import_summary+4

Materials Chemistry Closed-Loop Lab-Safety ReplayThe materials chemistry lab-safety replay validates metadata-only simulator-only closed-loop rows before any materials-lab or discovery language is allowed.Paper module

Materials Chemistry Closed-Loop Lab-Safety Replay is the public lab-safety claim boundary for Microcosm. It checks candidate material refs, safety-screen refs, simulator-only assay refs, active-learning decisions, failure taxonomy refs, cold replay refs, source bundle hashes, Lab/Evolve replay graph evidence, copied source/control/result record/standard bodies, metadata-only result record policy, and eight lab-safety overclaim negative cases while keeping wetlab protocols, hazardous synthesis steps, reagent quantities, controlled or bioactive targets, live lab account secrets, robot commands, private lab notebook bodies, live assay data, discovery claims, benchmark claims, model-output data, source notes, and launch-scope decision out of result records.

Contains 22 sections1 diagram3 references4 context groups

Scope limit Copied public Lab/Evolve source/control/result record/standard bodies, metadata-only simulator-only fixture result records, runtime bundle result records, and artifact safety/refusal validation only; no wetlab execution, hazardous synthesis guidance, reagent quantity, controlled or bioactive target, live assay, robot command, private lab notebook, external model access, discovery claim, benchmark claims, launch-scope decision, publishing-scope decision, or product-progress evidence.

Source module src/microcosm_core/organs/materials_chemistry_closed_loop_lab_safety_replay.py

Source part runrun_lab_bundle_source_module_manifest_result_source_open_body_import_summary+4

Certificate Kernel Execution LabThe certificate kernel execution lab validates bounded public Lean/Lake certificate-kernel rows before any proof-adjacent claim is allowed.Paper module

Certificate Kernel Execution Lab is the public proof-adjacent execution boundary for Microcosm. It checks a Lean/Lake certificate-kernel fixture, generated certificate rows, analyzer metadata, transition traces, typed CP2 action translations, bounded Evolve reruns, source-module manifest digests, copied Lean/tool/profile bodies, metadata-only result record policy, and four negative cases while keeping proof bodies, raw tactic scripts, model-output data, oracle ideal answers, oracle-needed premise ids, private source paths, stdout/stderr bodies, account secrets, private Erdos #257 proof bodies, launch-scope decision, benchmark solve-rate, and general theorem-proof authority out of result records. Its upgrade posture is certificate-engine first: shard and compress public certificate families while preserving the Lean/Lake result record boundary; treat reflective/native checker work as a named trust-register fork.

Contains 21 sections1 diagram7 references4 context groups

Scope limit Public Lean/Lake subprocess witness, copied source proof/tool/profile bodies, first-wave fixture result records, and exported bundle result records only; no general formal-result correctness, private proof body export, external model access, oracle authority, source-file changes, benchmark solve-rate, launch-scope decision, publishing-scope decision, or whole-system proof claim.

Source module src/microcosm_core/organs/certificate_kernel_execution_lab.py

Source part runrun_certificate_bundle_source_module_manifest_result_source_open_body_import_summary+4

Corpus Readiness Mathlib Absence GateThe corpus readiness Mathlib absence gate validates copied corpus/toolchain readiness bodies before any Mathlib-dependent proof or retrieval claim is allowed.Paper module

Corpus Readiness Mathlib Absence Gate is the public formal-math corpus readiness boundary for Microcosm. It checks copied PROVER smoke-run corpus readiness rows, Lean/Std toolchain probe rows, Mathlib absence status, consumer-gate decisions, absent corpus blocking, source-module manifest digests, metadata-only result record policy, and five negative cases while keeping proof bodies, model-output data, non-public source refs, benchmark-completeness claims, launch-scope decision, and Mathlib proof authority out of result records.

Contains 21 sections1 diagram5 references4 context groups

Scope limit Public algorithmic projection over copied corpus/toolchain readiness system, first-wave fixture result records, and exported bundle result records only; no Lean/Lake rerun, Mathlib availability claim, formal-result correctness, proof body export, external model access, benchmark/corpus completeness, launch-scope decision, publishing-scope decision, or whole-system proof claim.

Source module src/microcosm_core/organs/corpus_readiness_mathlib_absence_gate.py

Source part runrun_projection_bundlevalidate_corpus_readinessvalidate_consumer_gate_cases+4

Pattern Binding ContractThe public pattern-binding component validates pattern rows, source bundles, authority handles, exported system bundles, and route-readiness selector overlays while keeping mined rows component-first and fixture-bound.Paper module

Pattern Binding Contract is the public system membrane for mined pattern rows. It validates binding fields, source bundles, reference bundles, authority-chain handles, secret-exclusion scans, exported system bundles, and route-readiness selector overlays, then writes bounded result records that keep private bodies out and prevent individual pattern rows from becoming standalone public leaves.

Contains 30 sections1 diagram6 references4 context groups

Scope limit Public pattern-binding fixtures, exported system bundles, route-readiness selector bundles, source-bundle refs, and metadata-only result records only; no private pattern-ledger certification, launch-scope decision, external model access, hosted-public posture, recipient work, non-public data equivalence, source-file changes, or whole-system correctness.

Source module src/microcosm_core/organs/pattern_binding_contract.py

Source part validate_source_module_importsvalidate_pattern_bindingsvalidate_source_capsulesvalidate_reference_capsules+4

Bridge Phase Continuity RuntimeThe public bridge-continuity fixture validates disk-first continuation packets, heartbeat/resource-pressure boundaries, resume-once semantics, worker-skip dedupe, tracked result record-write gates, and non-public-state exclusion without live bridge transport.Paper module

Bridge Phase Continuity Runtime is the public observe/apply continuity membrane for detached work. It consumes synthetic transport fixtures, validates copied observe-runtime body digests, writes five metadata-only result records, checks seven negative-case classes, and keeps heartbeat/resume evidence below work-landing, provider, UI, source-file changes, and launch-scope decision.

Contains 22 sections1 diagram6 references4 context groups

Scope limit Public synthetic observe/apply fixture and copied body digest evidence only; no live bridge transport, provider/UI uptime, operator HUD/browser state, live phase runtime, prompt-shelf/private-memory bodies, work landing, source-file changes, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/bridge_phase_continuity_runtime.py

Source part run_validate_synthetic_transport_contract_validate_fixture_contractEXPECTED_NEGATIVE_CASES+1

Cognitive Operator RegistryThe public cognitive-operator registry fixture validates operator-shape rows, active-operator dogfood result records, anti-sprawl decisions, copied source registry/standard/tool bodies, and scope limits without becoming operator source authority.Paper module

Cognitive Operator Registry is the public evidence membrane for reusable cognition as typed system. It validates public operator rows, dogfood result records with cognition-delta evidence, negative cases for missing fields, missing dogfood, sprawl, operator-voice claims, authority overclaims, and private-source leakage, then checks copied source registry, standard, and validator bodies by digest while keeping bodies out of result records.

Contains 18 sections1 diagram5 references4 context groups

Scope limit Public registry-contract fixture and copied source body evidence only; no live operator execution, registry mutation, source-file changes, external model access, launch-scope decision, non-public data equivalence, operator correctness proof, or whole-system correctness.

Source module src/microcosm_core/organs/cognitive_operator_registry.py

Source part runrun_registry_bundle_source_module_manifest_resultEXPECTED_NEGATIVE_CASES+1

Agent Completion Faithfulness AuditThe public completion-faithfulness fixture checks commit, ledger-cap, and pytest-span claims with real git/pytest subprocess witnesses while refusing unchecked pass overclaims.Paper module

Agent Completion Faithfulness Audit is the public fixture witness for completion evidence language. It builds a fixture repo, verifies commit and HEAD evidence with git subprocesses, runs pytest for the declared span, checks cap claims against a fixture ledger, validates a copied source-module manifest for agent experience diagnostics, and writes bounded result records that keep source bodies out.

Contains 19 sections1 diagram4 references4 context groups

Scope limit Public fixture and exported-bundle result records only; no arbitrary live commit proof, work log mutation or closure, live Git mutation, external model access, launch-scope decision, broad completion certification, or pytest-pass claim without explicit exit-zero status.

Source module src/microcosm_core/organs/agent_closeout_faithfulness_audit.py

Source part runrun_agent_closeout_bundleEXPECTED_NEGATIVE_CASESAUTHORITY_CEILING

Cold-Reader Route MapThe public cold-reader route-map fixture validates first-run command order, docs refs, result record refs, scope limits, copied cold-entry source-module digests, and non-public-state exclusion without becoming route registry control.Paper module

Cold-Reader Route Map is the public first-run route membrane. It validates route rows, route-to-result record bindings, ordinal first-run sequencing, command/docs/result record refs, launch/provider/private-source overclaim rejection, exact copied source cold-entry source modules, and metadata-only result records so a cold agent can see what to run first and what proof bounds each row.

Contains 26 sections1 diagram4 references4 context groups

Scope limit Public route-map fixture, exported-bundle result records, and copied source cold-entry body evidence only; no route registry control, external model access, source-file changes, launch-scope decision, non-public data equivalence, trading or financial decisions, or whole-system correctness.

Source module src/microcosm_core/organs/cold_reader_route_map.py

Source part runrun_route_map_bundle_route_source_replay_result_source_module_import_result+2

Proof Diagnostic Evidence SpineThe public proof-diagnostic evidence spine fixture validates Ring2 diagnostic result record refs, copied runtime artifact digests, provider/proof-body exclusions, stale-coupling visibility, and scope limits without becoming formal proof authority.Paper module
Proof-Derived Governed Mutation AuthorizationThe public proof-derived governed-mutation fixture validates synthetic mutation proposals through proof cells, visible pre-execution policy verdicts, logged side effects, rollback result records, cold replay, negative cases, and copied source internal control bodies without granting live mutation authority.Paper module

Proof-Derived Governed Mutation Authorization is the public mutation-authority replay contract. It checks three synthetic proposals, proof-cell validator refs, visible policy verdicts, side-effect logs, rollback result records, cold replay, eight negative cases, and six exact copied source pattern/result record/internal control bodies while keeping account secrets, proof bodies, model-output data, account refs, source-file changes, and launch-scope decision out of result records.

Contains 24 sections1 diagram5 references4 context groups

Scope limit Public synthetic governed-mutation result records and copied source body digest evidence only; no standing account secret authority, live cloud/account mutation, source-file changes, external model access, hidden vote, policy-after-execution authority, benchmark security claim, launch-scope decision, public sharing, hosting, or whole-system correctness.

Source module src/microcosm_core/organs/proof_derived_governed_mutation_authorization.py

Source part runrun_authorization_bundlevalidate_mutation_proposalsvalidate_proof_evidence_cells+4

Durable Agent Work-Landing ReplayThe public durable work-landing replay fixture validates recorded agent landing rows, copied source internal control source bodies, validation-before-commit ordering, HEAD-advance evidence, blocker capture, and work log completion without performing live Git work.Paper module

Durable Agent Work-Landing Replay is the public work-spine replay contract for agent landing claims. It checks claimed paths, owner-native validation refs, commit-attempt order, HEAD-before/after evidence, metadata-blocked rows, work log finalizer evidence, nine negative cases, and six exact copied source bodies while keeping raw diffs, non-public paths, model-output data, and source bodies out of result records.

Contains 22 sections1 diagram4 references4 context groups

Scope limit Public synthetic replay result records and copied source work-landing/internal control source bodies only; no live Git mutation, unrelated staging, broad checkpoint authority, arbitrary commit proof, external model access, non-public body export, public sharing, hosting, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/durable_agent_work_landing_replay.py

Source part runrun_work_landing_bundlevalidate_source_module_importsvalidate_projection_protocol+4

Work Landing Control SpineThe public work-landing control spine validates copied work-landing internal control source bodies without authorizing live Git, ledger, claim-launch, private-index, public sharing, or launch operations.Paper module

Work Landing Control Spine is the public source-open import for work-landing internal control bodies. It validates copied work_landing, work_landing_status, mission transaction preflight, landing preflight, and scoped-commit source modules by manifest digest, required anchors, no-live-mutation contract flags, secret-exclusion scan, and metadata-only result record policy while keeping live Git, work log, work log, claim launch, shared-index mutation, private-index execution, external model access, public sharing, and launch-scope decision out of scope.

Contains 22 sections1 diagram2 references4 context groups

Scope limit Copied source internal control source bundle, validator result record, source-manifest digest evidence, required-anchor evidence, no-live-mutation contract flags, and secret-exclusion evidence only; no live Git mutation, live work log or work log mutation, claim launch, shared-index mutation, private-index commit execution, broad staging, external model access, account secret export, public sharing, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/macro_tools/work_landing_control_spine.py

Source part validate_work_landing_control_bundlemainREQUIRED_SOURCE_REFSFALSE_AUTHORITY_FLAGS+1

Executable Doctrine GrammarThe public executable-doctrine grammar fixture validates public standard rows, paper-module sections, negative cases, copied executable-grammar and standards/type-plane source-module bodies, and metadata-only result records without claiming doctrine completeness.Paper module

Executable Doctrine Grammar is the public grammar membrane for doctrine-shaped runtime fixtures. It validates standard row fields, paper-module teleology and result record sections, duplicate-slug and overclaim negative cases, exact copied executable-grammar, standards-registry/type-plane, lattice, kind-atlas, and standards option-surface bodies, then emits metadata-only result records with source refs, digests, counts, and scope limits.

Contains 25 sections1 diagram5 references4 context groups

Scope limit Public fixture, exported standards bundle, and copied source specimen/body digest evidence only; no private standards engine export, source doctrine completeness, source notes export, model-output data export, source-file changes, launch-scope decision, publishing-scope decision, non-public data equivalence, or whole-system correctness.

Source module src/microcosm_core/organs/executable_doctrine_grammar.py

Source part validatevalidate_standards_bundlevalidate_executable_grammar_metabolism_bundlevalidate_source_module_imports+3

Source Projection Import ProtocolThe public source-projection import protocol validates classified source-to-Microcosm projection cells, per-slice manifests, digest relations, omission result records, intake statuses, formal-math claim boundaries, and scope limits without claiming source or launch-scope decision.Paper module

Source Projection Import Protocol is the public import membrane for source-backed Microcosm growth. It validates fixture and exported projection bundles by checking source refs, public target refs, content digests, source-to-target relations, per-slice source-module manifests, validation refs, omitted-material result records, metadata-only result record policy, secret-exclusion scans, projection cell statuses, formal-math claim-boundary negatives, and other negative cases while keeping true private bodies, theorem/formal-result correctness claims, provider/oracle payloads, launch material, and static count claims out of public authority.

Contains 22 sections1 diagram5 references4 context groups

Scope limit Verified source body imports, fixture result records, exported projection-bundle result records, per-slice manifest refs, metadata-only formal-math metadata and validation refs, and metadata-only result record fields only; no theorem/formal-result correctness authority, private target status, challenge-result public sharing, live source authority, whole-system equivalence, launch, public sharing, hosted deployment, recipient work, provider/oracle payload authority, provider or Lean/Lake execution, secret/non-public body export, source-file changes, or whole-system correctness.

Source module src/microcosm_core/organs/macro_projection_import_protocol.py

Source part runrun_projection_bundlepreview_import_planvalidate_projection_protocol+3

Mission Transaction Work SpineThe public mission-transaction fixture validates work-landing, claim, dependency, scoped-commit, checkpoint-lane, result record-drain, completion, and copied control source-module contracts without mutating live ledgers or git.Paper module

Mission Transaction Work Spine is the public replay membrane for Microcosm work-landing discipline. It checks fixed Work item, claim, dependency, transaction, result record-drain, completion, scoped mutation, and checkpoint-lane rows; validates copied work log, work log, checkpoint, scoped-commit, and mission-preflight source modules by manifest; and writes metadata-only result records with secret-exclusion and scope limits.

Contains 24 sections1 diagram2 references4 context groups

Scope limit Public fixture and exported-bundle result records only; no live work log mutation, live work log mutation, live git mutation, private backup execution, broad checkpoint authorization, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/mission_transaction_work_spine.py

Source part runrun_mission_transaction_bundlevalidate_task_ledger_source_importvalidate_work_ledger_source_import+4

Formal Math Readiness GateThe public formal-math readiness gate validates declared corpus, tactic, premise, routing, provider-budget, source-module manifest, copied PROVER probe body, and negative-case boundaries without claiming Lean/Lake or proof authority.Paper module

Formal Math Readiness Gate is the public readiness membrane before downstream proof work. It checks declared Mathlib and corpus readiness, tactic probe result records, proof-metadata-only premise indexes, target-shape routing, provider context budgets, formal_math_readiness_extensions intake rows, copied PROVER smoke-run artifacts, public component source body imports, digest manifests, secret exclusion, and negative cases, then emits readiness boards rather than theorem evidence.

Contains 46 sections1 diagram5 references4 context groups

Scope limit Public readiness metadata, copied PROVER smoke-run readiness/probe artifacts, public component source body floor, fixture result records, and exported-bundle result records only; no Lean/Lake execution, Mathlib availability beyond probe status, formal proof authority, formal-result correctness, external model access, private proof body, oracle premise id, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/formal_math_readiness_gate.py

Source part runrun_readiness_bundlevalidate_source_module_importswrite_receipts+3

Formal Math Lean Proof WitnessThe public Lean proof witness runs local Lean/Lake over a tiny synthetic project, validates copied public source-module digests and negative cases, and emits redacted result records without claiming general proof authority.Paper module

Formal Math Lean Proof Witness is the public runtime crossing from readiness metadata into a real local Lean/Lake subprocess witness. It copies a bounded public Lake project, records tool availability, Lake build status, source hashes, declaration names, line counts, source-module manifest verdicts, a Mathlib-blocked debt row, and six leakage/invalid-proof negative cases while keeping proof bodies, provider output bodies, oracle premise ids, and command output bodies out of result records.

Contains 26 sections1 diagram4 references4 context groups

Scope limit Declared public toy Lean/Lake fixture result records only; no Mathlib/Aesop/Batteries authority, general formal-result correctness, private proof import, external model access, benchmark performance, launch-scope decision, publishing-scope decision, source-file changes, or whole-system correctness.

Source module src/microcosm_core/organs/formal_math_lean_proof_witness.py

Source part runrun_witness_bundlevalidate_source_module_imports_build_result+3

Formal Math Verifier Trace Repair LoopThe public verifier-trace repair fixture validates copied Ring2 failure taxonomy, graph-update, oracle-repair contrast rows, source-module digests, negative cases, and one deterministic toy rerun without claiming proof authority.Paper module

Formal Math Verifier Trace Repair Loop is the public evidence membrane for proof-lab repair mechanics. It checks copied Ring2 run refs and digests, verifier attempts, trace grades, repair actions, promotion gates, source-module manifests, secret exclusion, and eight leakage or overclaim negative cases, then writes metadata-only result records that keep proof bodies, oracle premise ids, model-output data, repair-trace theorem-correctness claims, Lean/Lake execution, and formal proof authority out of scope.

Contains 26 sections1 diagram5 references4 context groups

Scope limit Copied Ring2 verifier-trace repair metadata, source-module digests, public fixture result records, and one deterministic public toy-theorem rerun only; no Lean/Lake authority, formal-result correctness, proof body, oracle premise id, external model access, human approval as proof authority, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/formal_math_verifier_trace_repair_loop.py

Source part runrun_loop_bundlevalidate_source_module_manifest_build_result+4

Formal Evidence Cell Anchor ResolverThe formal evidence cell anchor resolver binds proof-language paper claims to public evidence cells, source anchors, machine-anchor metadata, frozen public source-module snapshots, public source-artifact mirrors, and negative-case result records without claiming formal-result correctness.Paper module

Formal Evidence Cell Anchor Resolver is the evidence-legibility membrane for Microcosm's formal math claims. It resolves three paper claims to public evidence-cell ids, checks source-anchor and machine-anchor metadata, anchors the verifier-trace cell to real Ring2 verifier-trace repair result records, validates six frozen source-open body snapshots, resolves public source-artifact mirrors for state/runs anchors, observes seven proof/private/human-approval/theorem-correctness negative cases, and emits metadata-only result records that make proof-language boundaries inspectable without becoming proof authority.

Contains 22 sections1 diagram4 references4 context groups

Scope limit Evidence-cell anchor metadata and source-open runtime result records only; no formal-result correctness, proof-body import, private source-ref authority, human approval as proof authority, Lean/Lake execution, external model access, launch-scope decision, publishing-scope decision, source-file changes, or formal-proof certification.

Source module src/microcosm_core/organs/formal_evidence_cell_anchor_resolver.py

Source part runrun_anchor_bundlevalidate_source_module_manifest_public_ref_candidates+4

Formal Math Premise RetrievalFormal math premise retrieval validates copied public Lean/Std premise metadata, query scoring, context budgets, strategy gates, body-floor provenance, and leakage negative cases without claiming proof authority.Paper module

Formal Math Premise Retrieval is the source-backed retrieval slice between the Lean/Std premise catalog and proof-witness boundary. It validates eleven public premise descriptors, four retrieval queries, forty-four considered candidates, exact and source-faithful source body imports, context recipe byte budgets, strategy ids, card freshness, and five leakage/overclaim negative cases while keeping proof bodies, oracle premise ids, model-output data, Lean/Lake execution, and launch claims out of result records.

Contains 25 sections1 diagram5 references4 context groups

Scope limit Copied public source retrieval metadata and runtime validation result records only; no formal-result correctness, proof-body import, oracle-needed premise authority, Mathlib authority, Lean/Lake execution, external model access, benchmark claim, launch-scope decision, publishing-scope decision, source-file changes, or general formal-proof authority.

Source module src/microcosm_core/organs/formal_math_premise_retrieval.py

Source part runrun_retrieval_bundle_build_result_scan_input_paths+4

Lean/Std Premise IndexThe Lean/Std premise index validates a copied public Lean/Std descriptor catalog plus Ring2 premise-retrieval source bodies without claiming proof, Mathlib, Lean/Lake, provider, launch, or theorem-correctness authority.Paper module

Lean/Std Premise Index is the source-open formal-math catalog component for Microcosm. It imports a premise descriptor index, validates eleven Lean/Std premise rows across Nat, Bool, List, and Iff namespaces, checks six copied body modules through a source-module manifest, observes Mathlib/proof-body/oracle/test-split/source-ref negative cases, and writes metadata-only result records that make premise system inspectable without turning metadata into proof authority.

Contains 22 sections1 diagram5 references4 context groups

Scope limit Copied public Lean/Std descriptor index and Ring2 premise-retrieval source result records only; no Lean/Lake execution, Mathlib authority, proof-body import, oracle-needed premise authority, external model access, benchmark claim, launch-scope decision, publishing-scope decision, source-file changes, or theorem-correctness claim.

Source module src/microcosm_core/organs/lean_std_premise_index.py

Source part runrun_index_bundle_source_module_manifest_result_build_result+3

World-Model Projection Drift Control RoomThe world-model projection drift control room validates public metadata-only projection-drift rows and copied source-module bodies without treating projections as source authority or repair authority.Paper module

World-Model Projection Drift Control Room is the public projection-drift boundary for Microcosm. It validates eight drift rows, source refs, repair routes, validation refs, target refs, source-module digest evidence, copied world-model and view-quality source bodies, secret-exclusion policy, and eight negative cases while keeping private runtime bodies, model-output data, live repair, source-file changes, automatic doctrine changes, launch, public sharing, and source-authority claims out of scope.

Contains 22 sections1 diagram3 references4 context groups

Scope limit Public metadata-only runtime result record and copied source-module evidence only; no private runtime body inspection, source authority, source-file changes, live route repair, automatic doctrine changes, model-output data export, launch-scope decision, publishing-scope decision, or whole-system correctness claim.

Source module src/microcosm_core/organs/world_model_projection_drift_control_room.py

Source part runrun_drift_control_bundle_source_module_manifest_result_source_open_body_import_summary+4

Public Reveal WalkthroughThe public reveal walkthrough validates a ten-minute cold-reader path through commands, routes, evidence refs, source-open body imports, negative cases, and scope limits without claiming launch-scope decision or whole-system equivalence.Paper module

Public Reveal Walkthrough is the source-backed public-entry membrane for Microcosm. It checks the declared reveal steps, runnable command set, evidence refs, claim-floor phrases, secret-exclusion scan, source-open body import manifest, runtime-bundle shape, and four overclaim negative cases while keeping copied bodies out of result records and launch/provider/private-equivalence claims out of scope.

Contains 22 sections1 diagram6 references4 context groups

Scope limit Public reveal fixture and exported-bundle result records only; no launch, hosted deployment, public sharing, recipient work, external model access, secret export, whole-system equivalence, Lean/Lake execution, source-file changes, or whole-system correctness.

Source module src/microcosm_core/organs/public_reveal_walkthrough.py

Source part runrun_reveal_bundle_source_module_manifest_result_source_open_body_import_summary+3

Standards Meta DiagnosticsTerminal public coverage diagnostic: verifies every accepted component stays mapped to a standard, runtime contract, result record, and scope limit.Paper module

Checks accepted adapter-backed components against standards_inventory/organ_runtime_contracts/diagnostic_policy; rejects 5 boundary failures (missing standard_id/standard_ref, missing inventory row, missing result record ref, launch/provider/public sharing overclaim, private-body leak); secret_exclusion_scan with body_in_receipt:false and synthetic_receipt_standin_allowed:false.

Contains 22 sections1 diagram2 references4 context groups

Scope limit Projection-only diagnostic; never source authority for core/standards_registry.json, no source-file changes, no provider/launch-scope decision, no whole-system correctness.

Source module src/microcosm_core/organs/standards_meta_diagnostics.py

Source part runrun_diagnostics_bundle_build_result_write_receipts+1

Finance Forecast Evaluation SpineForecast-evaluation component: Diebold-Mariano / Hansen-SPA / stationary-bootstrap stats over synthetic fixtures with typed refusal discipline; no market authority.Paper module

Runs admissible forecast-evaluation statistics (Diebold-Mariano loss-differential, Harvey-Leybourne-Newbold small-sample correction, Hansen SPA with recentering, Politis-Romano stationary bootstrap, Bartlett HAC long-run variance, purged/embargoed CV) over synthetic market-shaped fixtures and copied source bodies; refusal discipline returns typed refusals (horizon>=sample length, too-small samples, leakage-prone splits, missing SciPy, advice-shaped claims) instead of crashing; computed-statistic and refused-because-inadmissible are both valid validator outcomes.

Contains 26 sections1 diagram6 references4 context groups

Scope limit Synthetic market-shaped fixtures only; not investment or trading decisions, no live market data, no track record or performance claim, mutates no optimizer, SciPy absence is a typed HLN refusal.

Engine Room DemoComposition component: verifies the 14 staged Engine Room jewel targets and their owned bundle surfaces through the public fixture chain; composition contract only.Paper module

Wraps the bundles under microcosm_core.engine_room, verifies the 14 controller-selected jewel targets, checks each owned staged bundle surface (module source, fixture input, fixture manifest, paper module, standard, tests), executes the staged demo through the public fixture chain, and observes a negative fixture where an expected target is intentionally absent.

Contains 23 sections1 diagram5 references4 context groups

Scope limit Validates the declared public composition contract only; not deployment posture, not whole-system equivalence, not a frontier theorem-proving claim, not a complete security proof, not benchmark validation, not launch-scope decision.

Agent Memory Temporal-Conflict ReplaySynthetic replay fixture for an agent-memory honesty contract: models scoped-preference episodes and checks temporal-conflict handling; no live memory product.Paper module

Public Plectis projection of an agent-memory honesty contract. Replays synthetic episodes (a scoped preference later contradicted) and validates temporal-conflict resolution, negative cases, non-public-state exclusion, and scope limits with metadata-only result records.

Contains 24 sections1 diagram4 references4 context groups

Scope limit Synthetic replay fixture only; not a live memory product, private transcript export, source-authority claim, or launch claim.

Source module src/microcosm_core/organs/agent_memory_temporal_conflict_replay.py

Source part runrun_memory_bundle_build_result_write_receipts+1

Agent Monitor Redteam Falsification ReplaySynthetic regression drilldown for a monitor/redteam honesty contract; checks falsification handling, negative cases, non-public-state scan, scope limits.Paper module

Public Plectis regression drilldown for a monitor/redteam honesty contract. Replays synthetic monitor traces and validates redteam-falsification behavior, negative cases, non-public-state exclusion, and scope limits with metadata-only result records.

Contains 23 sections1 diagram4 references4 context groups

Scope limit Synthetic replay fixture only; not a live monitor product, control eval, exploit guide, product-spine system, or complete-security claim.

Source module src/microcosm_core/organs/agent_monitor_redteam_falsification_replay.py

Source part runrun_monitor_bundle_build_result_write_receipts+1

Agent Sabotage Scheming-Monitor ReplayDrilldown regression contract for synthetic sabotage/scheming monitor claims: replays task episodes, action traces, monitor scores, counterfactual/cold replay.Paper module

Drilldown-only regression contract for synthetic sabotage/scheming monitor claims. Checks projection_protocol, scheming_monitor_policy, task_episodes, action_traces, monitor_scores, counterfactual_replay, and cold_replay against negative cases and scope limits.

Contains 24 sections1 diagram4 references4 context groups

Scope limit No live sabotage, exploit instruction, account secret/account material, private reasoning, harmful payload, or deployment-risk product claim; synthetic fixtures and metadata-only result records only.

Source module src/microcosm_core/organs/agent_sabotage_scheming_monitor_replay.py

Source part runrun_sabotage_bundle_build_result_write_receipts+1

Agent Sandbox Policy-Escape ReplayValidator-backed public refactor of source agent_execution_trace for sandbox/security: metadata-only trace spans, pre-exec policy verdicts, side-effect diffsPaper module

Validator-backed public refactor of the source agent_execution_trace system for sandbox/security claims. Computes metadata-only trace spans from action requests, pre-execution policy verdicts, side-effect diff result records, and rollback against negative cases and scope limits.

Contains 23 sections1 diagram5 references4 context groups

Scope limit No live sandbox escape, live secret handling, or live network; source-faithful refactored fixtures and metadata-only result records only; not a complete-security or launch claim.

Source module src/microcosm_core/organs/agent_sandbox_policy_escape_replay.py

Source part runrun_sandbox_bundle_build_result_write_receipts+1

Belief-State Process Reward ReplayPublic projection of a belief-state process-reward claim contract, backed by the agent-execution trace refactor and copied source bodies.Paper module
Sleeper Memory Poisoning Quarantine ReplaySynthetic replay fixture for a persistent-memory security contract: quarantine of poisoned memory, audit refs, rerun result records, negative cases, authorityPaper module

Public Plectis projection of a persistent-memory security claim contract. Replays synthetic memory-poisoning episodes and validates quarantine behavior, audit refs, rerun result records, negative cases, and scope limits with metadata-only result records.

Contains 20 sections1 diagram6 references4 context groups

Scope limit Synthetic replay fixture only; not a live memory product, live user memory import, benchmark security result, private memory export, or launch claim.

Source module src/microcosm_core/organs/sleeper_memory_poisoning_quarantine_replay.py

Source part runrun_quarantine_bundle_build_result_write_receipts+1

Indirect Prompt-Injection Information-Flow Policy ReplayValidator-backed claim: a source-faithful trace refactor separated trusted instructions from untrusted web/tool/browser text before any privileged action.Paper module

Validator-backed public claim contract for indirect prompt-injection information-flow policy. Admits one narrow claim: a source-faithful trace refactor separated trusted instructions from untrusted web/tool/browser text before any privileged action or answer, checked against negative cases and scope limits.

Contains 20 sections1 diagram6 references4 context groups

Scope limit Source-faithful refactored fixtures and metadata-only result records only; not a live information-flow product, complete-security proof, or launch claim.

Source module src/microcosm_core/organs/indirect_prompt_injection_information_flow_policy_replay.py

Source part runrun_prompt_injection_bundle_build_result_write_receipts+1

MCP Tool Authority ReplaySynthetic MCP-like replay fixture for a tool-authority claim contract: replay result records, negative cases, scope limits; no live MCP/provider/account secretPaper module

Public Plectis projection of a tool-authority claim contract. Replays a synthetic MCP-like tool-authority scenario and validates replay result records, negative cases, and scope limits with metadata-only result records.

Contains 23 sections1 diagram2 references4 context groups

Scope limit Synthetic MCP-like replay fixture only; not a live MCP account test, external model access, account secret-handling certification, benchmark security result, or launch claim.

Source module src/microcosm_core/organs/mcp_tool_authority_replay.py

Source part runrun_tool_authority_bundle_build_result_write_receipts+1

Tactic Portfolio AvailabilityEnvironment-scoped tactic availability rows gate downstream tactic routing without becoming proof, benchmark, or launch-scope decision.Paper module

Tactic Portfolio Availability Probe validates copied Lean/Std tactic affordance rows before downstream routing can treat a tactic as usable. It checks compile status, Mathlib absence handling, probe portfolio membership, negative cases, source digests, and metadata-only result records while keeping proof bodies, model-output data, benchmark claims, and launch-scope decision out of scope.

Contains 20 sections1 diagram2 references4 context groups

Scope limit Copied tactic affordance probe rows and public fixture/exported-bundle result records only; no Lean/Lake rerun, theorem proof, benchmark performance, external model access, Mathlib-dependent proof authority, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/tactic_portfolio_availability_probe.py

Source part runrun_availability_bundle_build_result_write_receipts+2

Target Shape Tactic RoutingPre-execution tactic routing admits or rejects tactics from target shape and probe evidence while excluding private target material.Paper module

Target Shape Tactic Routing is the pre-execution gate between tactic availability and proof attempts. It validates Ring2 problem-domain, failure-class, graph-update, and tactic-probe references, rejects unavailable or unprobed tactics, rejects private target ids/formulas/statuses/traces without echoing values, and records metadata-only route decisions before any Lean/Lake proof authority is claimed.

Contains 25 sections1 diagram2 references4 context groups

Scope limit Public route-reference fixture and exported-bundle result records only; no Lean/Lake execution, formal-result correctness, private target material disclosure, post-execution routing, external model access, proof body export, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/target_shape_tactic_routing_gate.py

Source part runrun_routing_bundle_build_resultwrite_receipts+3

Ring-2 Premise Precision RecallAfter-the-fact premise retrieval metrics separate retrieval misses from proof failures without becoming theorem authority.Paper module

Ring-2 Premise Precision Recall validates copied Ring2 retrieval rankings against after-the-fact metric labels. It computes precision/recall classes, rejects oracle-label leakage and tuning shortcuts, and keeps proof bodies, model-output data, benchmark claims, and theorem-correctness claims outside the public result record boundary.

Contains 23 sections1 diagram5 references4 context groups

Scope limit Copied Ring2 retrieval records and public fixture/exported-bundle result records only; no Lean/Lake execution, theorem proof, benchmark performance, external model access, provider-context label flow, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/ring2_premise_retrieval_precision_recall_harness.py

Source part runrun_precision_recall_bundle_build_result_write_receipts+2

Mathematical Strategy AtlasPre-oracle strategy hypotheses make the first proof-search move inspectable without claiming proof or provider authority.Paper module

Mathematical Strategy Atlas scores public problem features into explicit pre-oracle strategy hypotheses before retrieval or proof execution. It validates strategy ids, copied public source tool bodies, retrieval-term effects, oracle-label exclusion, negative cases, and metadata-only result records while keeping proof and provider authority out of scope.

Contains 24 sections1 diagram5 references4 context groups

Scope limit Copied public strategy metadata, public source tool bodies, and public fixture/exported-bundle result records only; no Lean/Lake execution, formal-result correctness, oracle-label visibility, external model access, benchmark performance, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/mathematical_strategy_atlas_hypothesis_scorer.py

Source part runrun_strategy_bundlevalidate_strategy_selectionvalidate_source_module_imports+4

Verifier Lab Execution SpineBounded public verifier execution result records witness command execution without upgrading output into theorem authority.Paper module

Verifier Lab Execution Spine records bounded public Lean transition execution evidence: command intent, tool facts, return codes, result record refs, omitted dangerous payload fields, negative cases, and source-open body imports. It separates real execution evidence from formal-result correctness, provider text, oracle answers, proof-body exposure, source-file changes, and launch-scope decision.

Contains 22 sections1 diagram4 references4 context groups

Scope limit Bounded public fixture and exported-bundle execution result records only; no general formal-result correctness, benchmark solve-rate claim, external model access, oracle-to-proof authority, proof body export, source-file changes, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/verifier_lab_execution_spine.py

Source part runrun_execution_bundlevalidate_source_module_imports_build_lake_project+4

Bounded Autonomy Campaign PacketBounded autonomy campaign packets propose guarded agent work without authorizing source-file changes or unsupervised repair.Paper module

Bounded Autonomy Campaign Packet validates public campaign packet fixtures: proposed gaps, policy gates, repeated-failure digests, negative cases, source-open body imports, and scope limits. It keeps campaign proposals separate from self-repair, source writes, live scheduling, external model access, launch-scope decision, public sharing, and whole-system correctness.

Contains 25 sections1 diagram5 references4 context groups

Scope limit Self-proposal campaign packet fixture and exported-bundle result record evidence only; no self-repair authority, unsupervised source-file changes, live scheduler authority, external model access, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/bounded_autonomy_campaign_packet.py

Source part runrun_bounded_autonomy_bundleevaluate_candidate_packet_subprocess+2

Computer-Use Action Trace ReplayValidator-backed public replay for synthetic computer-use action traces under the route-observability runtime.Paper module

Computer-Use Action Trace Replay validates a synthetic computer-use episode through visible observations, affordances, action rows, authority verdicts, state-transition and recovery result records, cold replay rows, public trace spans, source-module manifests, negative cases, and metadata-only result records. It is a reader-facing contract under Agent Route Observability Runtime, not live browser or desktop control.

Contains 22 sections1 diagram6 references4 context groups

Scope limit Synthetic public computer-use action-trace fixtures, exported bundle metadata, copied source-module digests, and metadata-only result records only; no live account action, account secret entry, external network mutation, purchase/send authority, destructive host action, hidden screen-state claim, benchmark-score claim, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/agent_route_observability_runtime.py

Source part run_computer_use_action_trace_bundlevalidate_computer_use_source_manifest_validate_computer_use_projection_protocol_validate_computer_use_negative_cases

Concurrency Mission ControlConcurrency Mission Control validates metadata-only coordination result records without becoming a live scheduler or production concurrency proof.Paper module

Concurrency Mission Control validates the public concurrency mission-control membrane: copied source-builder digests, bridge artifacts, failure classes, work log seed-speed topology, heartbeat and claim-collision anchors, negative cases, source-open body imports, and metadata-only result records. It separates coordination evidence from hosted orchestration, external model access, live scheduling, whole-system equivalence, source authority, launch, public sharing, and production concurrency guarantees.

Contains 20 sections1 diagram6 references4 context groups

Scope limit Verified concurrency mission-control fixture and source-module import evidence only; no live scheduler, external model access, hosted orchestration, production concurrency-safety proof, source authority, whole-system equivalence, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/concurrency_mission_control.py

Source part runrun_concurrency_mission_control_bundle_evaluateclassify_generated_surface_claim_lens+4

Doctrine Fact Claim AuditDoctrine Fact Claim Audit rejects wrong fact counts and dead anchors without claiming comprehension or route completeness.Paper module

Doctrine Fact Claim Audit validates public doctrine fact assertions against declared sections, numeric claim gates, code-locus anchors, route DAG fixtures, negative cases, source-open body imports, and scope limits. It lowers claim strength to fixture truth: fact assertion, code-loci, and DAG evidence are checked, but the component does not become a comprehension engine, minimum-read graph, doctrine saturation proof, source-file changes lane, or launch-scope decision.

Contains 22 sections1 diagram6 references4 context groups

Scope limit Declared fact-assertion, code-locus, and DAG fixture truth gate only; no comprehension engine, no minimum-read-graph proof, no doctrine saturation claim, no source-file changes, no launch-scope decision, no publishing-scope decision, and no whole-system correctness.

Source module src/microcosm_core/organs/doctrine_fact_claim_audit.py

Source part runrun_doctrine_fact_bundleevaluate_evaluate_numeric_claims+3

Self-Ignorance Coverage LedgerSelf-Ignorance Coverage Ledger counts known coverage debt while refusing unknown-unknown or absence-proof claims.Paper module

Self-Ignorance Coverage Ledger validates a public known-debt coverage fixture: declared Kind Atlas gaps, missing coverage categories, negative cases, source-open body imports, and scope limits. It records what the system knows it has not covered without claiming omniscience, absence proof, total search, source-file changes, public sharing, launch-scope decision, or whole-system correctness.

Contains 25 sections1 diagram2 references4 context groups

Scope limit Known Kind Atlas coverage-debt projection only; no literal unknown-unknown omniscience, no absence proof, no total repository search proof, no source-file changes, no launch-scope decision, no publishing-scope decision, and no whole-system correctness.

Source module src/microcosm_core/organs/self_ignorance_coverage_ledger.py

Source part runrun_self_ignorance_bundleevaluateEXPECTED_NEGATIVE_CASES+1

Tool Server Pressure InventoryTool Server Pressure Inventory validates public pressure-inventory fixtures without reading or mutating live host process state.Paper module

Tool Server Pressure Inventory validates the public tool-server pressure membrane: synthetic process rows, active-owner descendants, over-budget owner launch requests, redaction findings, source-module digests, metadata-only result records, negative cases, and scope limits. It treats pressure inventory rows as fixture evidence, not live process control, process signalling, host mutation, provider authority, launch-scope decision, public sharing, or whole-system correctness.

Contains 23 sections1 diagram2 references4 context groups

Scope limit Declared public helper-process pressure inventory fixture and source-module digest evidence only; no live process reads, process signalling, host mutation, launch-scope decision, external model access, non-public data equivalence, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/tool_server_pressure_inventory.py

Source part runrun_pressure_bundlebuild_tool_server_pressure_inventorybuild_pressure_hygiene_relief_receipt+4

Mechanistic Interpretability Circuit Attribution ReplayMechanistic interpretability replay validates public circuit-attribution result record contracts without live model access or private activation export.Paper module

Mechanistic Interpretability Circuit Attribution Replay checks that public circuit-attribution replay rows carry feature-to-edge links, intervention deltas, sufficiency and faithfulness limits, target/source refs, source-module digest evidence, secret-exclusion scans, negative cases, and scope limits. It validates the result record contract only, not live model transparency, private weights, raw activations, proprietary prompts, hidden reasoning, external model access, benchmark claims, launch, public sharing, or whole-system correctness.

Contains 23 sections1 diagram3 references4 context groups

Scope limit Declared public circuit-attribution runtime result record and source-module import evidence only; no live model access, model-transparency product claim, export of private weights, raw activations, proprietary prompts, hidden reasoning, external model access, benchmark claims, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/mechanistic_interpretability_circuit_attribution_replay.py

Source part runrun_attribution_bundle_replay_policy_findings_source_module_manifest_result+4

Spatial World Model Counterfactual Simulation ReplaySpatial world-model replay validates synthetic counterfactual metadata without robot operation, simulator product claims, or real-world accuracy claims.Paper module

Spatial World Model Counterfactual Simulation Replay validates public synthetic counterfactual rows: scene-state refs, action traces, predicted-state refs, transition diffs, oracle-check refs, public sensor-packet refs, limitation labels, source-module digest evidence, negative cases, and scope limits. It keeps generated-video and metadata evidence below real-world geographic accuracy, robot or AV operation, simulator product claims, benchmark claims, external model access, hosting, launch, public sharing, and whole-system correctness.

Contains 23 sections1 diagram3 references4 context groups

Scope limit Declared public synthetic spatial counterfactual-replay metadata and source-module import evidence only; no robot or AV operation, real-world geographic accuracy, simulator product validation, generated-video authority, benchmark claims, external model access, hosting, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/spatial_world_model_counterfactual_simulation_replay.py

Source part runrun_simulation_bundle_state_transition_analysis_replay_policy_findings+4

Prediction Oracle ReconciliationPrediction Oracle Reconciliation exercises synthetic forecast reconciliation gates without forecasting, trading, provider, or live-market authority.Paper module

Prediction Oracle Reconciliation validates synthetic prediction packets through CP1 fork preservation, CP2 target-universe checks, pre-target evidence limits, oracle-diff grading, bounded dossier edits, numeric reconciliation rows, source-module imports, negative cases, and scope limits. It is a projection-mechanics replay, not a forecasting correctness claim, investment or trading decisions, live market data call, external model access, non-public data equivalence, public sharing, launch, or whole-system correctness.

Contains 25 sections1 diagram5 references4 context groups

Scope limit Synthetic invented prediction packet and source-module import evidence only; no forecasting correctness or accuracy, no trading, financial, or investment-related actions, no live market data, no external model access, no prediction public sharing, no performance track record, no non-public data import, no launch-scope decision, no publishing-scope decision, and no whole-system correctness.

Source module src/microcosm_core/organs/prediction_oracle_reconciliation.py

Source part runrun_prediction_bundlevalidate_source_module_importsvalidate_reconciliation_packet+4

Provider Context Recipe BudgetProvider Context Recipe Budget validates context-budget projection mechanics without authorizing external model access or truth-side material.Paper module

Provider Context Recipe Budget validates provider-context recipe mechanics: fixed byte ceilings, ordered section fill, omitted-section manifests, deliverable routing, digest-checked source-body imports, forbidden-body rejection, negative cases, and scope limits. It emits context metadata and verdicts only, without provider/API authorization, Lean/Lake execution, proof or oracle truth-side material, formal-result correctness, domain-level conclusions, launch, public sharing, or whole-system correctness.

Contains 25 sections1 diagram4 references4 context groups

Scope limit Context-budget projection fixture and source-body import evidence only; no provider or API call authorization, no Lean or Lake execution, no proof or oracle truth-side material, no theorem or domain-level conclusions, no launch-scope decision, no publishing-scope decision, and no whole-system correctness.

Source module src/microcosm_core/organs/provider_context_recipe_budget_policy.py

Source part runrun_budget_bundle_recipe_projection_recipe_findings+4

Undeclared Library Prior ClassifierUndeclared Library Prior Classifier scores extracted Lean symbol observations against an allowed premise set without running Lean or treating libraries as implicit allowlists.Paper module

Undeclared Library Prior Classifier validates copied Lean/Std premise rows and pre-extracted symbol observations, classifying undeclared library priors and premise-budget violations with route outcomes, source-module digest checks, secret-exclusion scans, negative cases, and scope limits. It does not read proof source, run Lean or Lake, prove formal-result correctness, treat the whole standard library as an implicit allowlist, claim Mathlib availability, use external model services, launch, publish, or prove whole-system correctness.

Contains 22 sections1 diagram2 references4 context groups

Scope limit Symbol-boundary classification fixture over copied Lean/Std premise rows and pre-extracted symbol observations only; no proof-source reads, Lean or Lake execution, formal-result correctness, whole-library implicit allowlist, Mathlib availability, external model access, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/undeclared_library_prior_symbol_classifier.py

Source part runrun_symbol_bundlevalidate_projection_protocolvalidate_premise_index+4

Voice to Doctrine Self-Improvement LoopVoice to Doctrine Self-Improvement Loop validates lesson propagation without exporting source notes or granting doctrine mutation authority.Paper module

Voice to Doctrine Self-Improvement Loop validates whether declared lessons refined a named owner surface with validation or were captured with a re-entry condition. It checks projection protocol, policy, owner surfaces, lesson rows, negative cases, source-open body imports, and scope limits while rejecting source notes export, private thread bodies, model-output data, direct doctrine-node edits, unvalidated global promotion, live work log mutation, public sharing, launch, and whole-system correctness.

Contains 28 sections1 diagram2 references4 context groups

Scope limit Declared lesson-propagation fixture only; no source notes export, non-public body export, model-output data export, source or doctrine mutation authority, global-promotion authority, live work log mutation, publishing-scope decision, launch-scope decision, external model access, whole-system equivalence, or whole-system correctness.

Source module src/microcosm_core/organs/voice_to_doctrine_self_improvement_loop.py

Source part runrun_voice_to_doctrine_bundlevalidate_projection_protocolvalidate_policy+4

Routing Anti-Patterns RegistryRouting Anti-Patterns Registry validates public anti-pattern registry rows without becoming route source authority or mutating routes.Paper module
Set 8 Audio Level RMS PortSet 8 Audio Level RMS Port validates deterministic RMS math parity over public synthetic samples without audio capture, microphone permission, or UI readiness authority.Paper module

Set 8 Audio Level RMS Port ports the Swift AudioLevelMonitor normalizedLevel RMS calculation into a bounded Python component and checks float, int16, clamp, empty-buffer, and unsupported-format cases over public synthetic sample arrays. It carries source-module refs, digests, anchors, sample counts, parity verdicts, negative cases, and an scope limit while excluding AVCaptureSession startup, microphone permission, recorded audio, device state, UI readiness, source-file changes, launch, public sharing, and whole-system correctness.

Contains 23 sections1 diagram4 references4 context groups

Scope limit Deterministic RMS parity evidence over public fixture inputs and copied source refs only; no macOS audio-session evidence, microphone permission authority, device capture, recorded audio, UI readiness, source-file changes, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch8_audio_level_rms_port.py

Source part normalized_level_evaluate_reference_cases_evaluate_negative_exercises_audio_evaluator+4

Set 8 Compliance Pipeline BundleSet 8 Compliance Pipeline Bundle validates copied compliance scanner and observe-pipeline mechanics without refreshing the full ledger or dispatching bridge/provider work.Paper module

Set 8 Compliance Pipeline Bundle imports compliance scanner registry, bounded compliance ledger builder, and observe-loop pipeline helper bodies into a runnable component. It checks registry shape, bounded no-write compliance checks, baseline scanner truth accounting, pure pipeline helper behavior, source-module digests, negative cases, and scope limits while excluding full compliance-ledger refresh, bridge/external model access, source note mutation, repository mutation, launch, public sharing, and complete compliance proof.

Contains 20 sections1 diagram6 references4 context groups

Scope limit Declared public compliance and pipeline fixture evidence plus copied source-module digest checks only; no full compliance-ledger refresh, bridge/external model access authority, source note mutation, repository mutation, complete compliance proof, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch8_compliance_pipeline_capsule.py

Source part _compliance_registry_runtime_witness_compliance_coverage_bounded_check_baseline_companion_scanner_contract_pipeline_digest_and_shard_normalization+4

Set 8 Policy Engines BundleSet 8 Policy Engines Bundle validates three deterministic public policy-engine exercises without running campaigns, providers, markets, or repository mutations.Paper module

Set 8 Policy Engines Bundle imports Lab contract audit red/green gating, market-fusion fail-closed claim preflight, and campaign dispatch transition adjudication as exact copied source bodies with bounded public exercises. It checks source-module manifests, stable negative cases, exercise outcomes, source digests, and scope limits while excluding live campaigns, external model access, repository mutation, private artifact export, market-level conclusions, launch, public sharing, and whole-system safety.

Contains 21 sections1 diagram5 references4 context groups

Scope limit Deterministic public policy-engine fixture evidence and copied source refs only; no live campaign execution, external model access, repository mutation, private artifact export, market validation, publishing-scope decision, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch8_policy_engines_capsule.py

Source part _exercise_lab_contract_audit_exercise_market_fusion_exercise_campaign_transition_capsule_evaluator+4

Set 8 Structural Theses BundleSet 8 Structural Theses Bundle validates public synthetic thesis-family replay without financial decisions, live-market validation, external model access, or portfolio authority.Paper module

Set 8 Structural Theses Bundle imports tools/finance/structural_theses.py as exact copied source and exercises CP1/CP2 thesis-family validation over public synthetic winner, loser, and control rows. It checks source digest parity, anchors, public family evidence, loser evidence, negative controls, survivor-only rejection, forward-gate-breach rejection, control-leak rejection, runtime verdicts, and scope limits while excluding financial decisions, investment recommendations, live market data, external model access, portfolio action, launch, public sharing, and whole-system correctness.

Contains 26 sections1 diagram5 references4 context groups

Scope limit Deterministic fixture evidence over public synthetic thesis rows and copied source refs only; no financial decisions, investment recommendation, live-market validation, external model access, portfolio authority, publishing-scope decision, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch8_structural_theses_capsule.py

Source part _load_copied_structural_module_family_inputs_build_family_evaluate_negative_exercises+4

Set 8 Tools-Tail Primitives BundleSet 8 Tools-Tail Primitives Bundle validates four public tools-tail primitive exercises without Oracle truth, external model access, live bridge work, or repository mutation authority.Paper module

Set 8 Tools-Tail Primitives Bundle imports observer set diffing, JSON patch interpretation, ledger identity hashing, and shadow envelope parse coverage as exact copied source bodies with bounded public exercises. It checks source-module manifests, stable negative cases, exercise outcomes, mechanism rows, digests, and scope limits while excluding GodMode execution, external model access, live bridge work, repository mutation, private lab artifact export, oracle truth, launch, public sharing, and whole-system correctness.

Contains 25 sections1 diagram5 references4 context groups

Scope limit Deterministic public tools-tail fixture evidence and copied source refs only; no oracle truth, prediction correctness, semantic edit correctness, Lab execution authority, live bridge authority, repository mutation authority, external model access, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch8_tools_tail_primitives_capsule.py

Source part _exercise_observer_diff_exercise_version_committer_exercise_ledger_id_exercise_shadow+4

Set 8 Validator Checker BundleSet 8 Validator Checker Bundle validates selected public checker groups without becoming launch-scope decision or a complete validator-suite proof.Paper module

Set 8 Validator Checker Bundle imports the real idea_microcosm validators body and exercises policy well-formedness, status transition judging, private-boundary scanning, zero-failure, specimen, launch-gate, source-bundle, source-shuttle, concurrency, native-guard, launch-root compiler, and no-write validate entrypoint groups. It carries source anchors, public runtime-only evidence, negative cases, and scope limits while excluding launch-scope decision, hosted-public proof, source-file changes, full validator-suite proof, external model access, public sharing, and whole-system correctness.

Contains 21 sections1 diagram5 references4 context groups

Scope limit Selected public checker-group fixture and copied validator-source evidence only; no launch-scope decision, hosted-public proof, source-file changes, complete validator-suite proof, external model access authority, publishing-scope decision, launch-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch8_validator_checker_capsule.py

Source part _validator_source_anchor_matrix_status_policy_judge_matrix_private_boundary_scanner_matrix_zero_failure_matrix+4

Set 12 Market Dashboard Read-Model BundleSet 12 Market Dashboard Read-Model Bundle validates copied read-model helpers over public fixtures without market-level conclusions, external model access, or launch-scope decision.Paper module

Set 12 Market Dashboard Read-Model Bundle runs market-dashboard read-model over public synthetic fixtures. It validates market dashboard import stubs, validator-case derivation, runtime feed freshness overlays, related-situation rows, source anchors, digest checks, negative cases, and scope limits while excluding launch-scope decision, external model access, whole-system equivalence, live market-level conclusions, investment-related actions, public sharing, and whole-system correctness.

Contains 23 sections1 diagram4 references4 context groups

Scope limit Fixture-bound market-dashboard read-model evidence and copied source refs only; no launch-scope decision, external model access, whole-system equivalence, market-level conclusions, investment-related actions, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch12_market_dashboard_read_model_capsule.py

Source part _market_dashboard_import_stubs_compute_validator_cases_compute_freshness_cases_compute_related_cases+4

Set 12 Prediction Market Board BundleSet 12 Prediction Market Board Bundle validates copied prediction-board and quant-mart diagnostics over public fixtures without market-level conclusions or provider authority.Paper module

Set 12 Prediction Market Board Bundle runs prediction-market board and quant-mart diagnostics over public synthetic fixtures. It validates prediction-market joins, Polymarket identity by slug, provider drift monitors, missingness boards, prior green deltas, source lifecycle vintage enrichment, source-module digests, negative cases, and scope limits while excluding launch-scope decision, external model access, whole-system equivalence, market-level conclusions, provider truth, investment-related actions, public sharing, and whole-system correctness.

Contains 21 sections1 diagram5 references4 context groups

Scope limit Fixture-bound prediction-board and quant-mart diagnostic evidence plus copied source refs only; no market-level conclusions, provider truth, investment-related actions, external model access, whole-system equivalence, launch-scope decision, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/organs/batch12_prediction_market_board_capsule.py

Source part _quant_mart_import_stubs_evaluate_quant_mart_helpers_evaluaterun+4

Set 12 launch claim-Language GateSet 12 launch claim-Language Gate checks public claim language against result record-backed scope limits without approving launch or public sharing.Paper module

Set 12 launch claim-Language Gate runs launch claim-language over public fixtures. It classifies phrases against evidence class and scope limit, checks typed ordinal evidence ranks, real-system flags, fail-closed defaults, boundary-context negation, main --assert-clear behavior, source digests, negative cases, and scope limits while excluding launch-scope decision, external model access, whole-system equivalence, market-level conclusions, investment-related actions, public sharing, and whole-system correctness.

Contains 24 sections1 diagram2 references4 context groups

Scope limit Fixture-bound launch-claim language gate evidence and copied source refs only; no launch-scope decision, publishing-scope decision, external model access, whole-system equivalence, market-level conclusions, investment-related actions, or whole-system correctness.

Source module src/microcosm_core/organs/batch12_release_claim_language_gate.py

Source part _blocked_exercise_write_gate_fixture_run_main_assert_clear_evaluate+4

Set 10 Cold Eval Honesty BundleSet 10 Cold Eval Honesty Bundle runs cold-eval over public fixtures without benchmark, navigation-truth, or launch-scope decision.Paper module

Set 10 Cold Eval Honesty Bundle imports the real cold_eval.py source body and runs its route-quality simulator over a synthetic public workspace. It audits the all-B idea-first scorecard shape, expected-ref injection policy, private fixture refs, missing-task refusals, negative cases, and scope limits while excluding live benchmark results, navigation truth, hosted readiness, launch-scope decision, external model access, source-file changes, and whole-system correctness.

Contains 23 sections1 diagram4 references4 context groups

Scope limit Fixture-bound route-quality scorecard and copied source refs only; no live benchmark, navigation truth, hosted readiness, launch-scope decision, external model access, source-file changes, or whole-system correctness.

Source module src/microcosm_core/organs/batch10_cold_eval_honesty_capsule.py

Source part _run_original_cold_eval_scorecard_shape_audit_claim_ceiling_gate_evaluate+4

Set 10 Live Source Drift BundleSet 10 Live Source Drift Bundle validates copied current internal control source bodies without route, ledger-mutation, or launch-scope decision.Paper module

Set 10 Live Source Drift Bundle imports exact current internal control Python bodies after source drift. It validates stale-versus-current digest rows, copied-source compileability without import execution, required behavioral anchors, source-manifest boundaries, negative cases, and scope limits while excluding route authority, work log or work log mutation authority, mission execution, git approval, source-file changes, launch, public sharing, external model access, and non-public runtime export.

Contains 26 sections1 diagram4 references4 context groups

Scope limit Fixture-bound source-digest, anchor, compile, and scope limit evidence only; no route authority, Work or work log mutation, mission execution, git approval, source-file changes, launch, public sharing, external model access, or non-public runtime export.

Source module src/microcosm_core/organs/batch10_live_source_drift_capsule.py

Source part _digest_refresh_matrix_compile_gate_control_surface_anchor_matrix_claim_ceiling_gate+4

Set 7 Source Engines BundleSet 7 Source Engines Bundle imports source engine bodies and exercises trace, graph, scheduling, source-index, patch, numeric, rank, and regression-selection invariants.Paper module

Set 7 Source Engines Bundle binds the accepted batch7_macro_engines_capsule component to its public source-open bundle. It checks copied trace parser, codemap layout, DAG scheduling, launch-root, source-surgeon, clean-clone, calculator, PageRank, and regression-selection witnesses, negative cases, digest boundaries, and scope limits while excluding launch-scope decision, whole-system equivalence, semantic truth, investment-related actions, sandbox completeness, and selected-test sufficiency proof.

Contains 21 sections1 diagram4 references4 context groups

Scope limit Fixture-bound public source-body import and deterministic exercise evidence only; no launch-scope decision, whole-system equivalence, semantic truth, investment-related actions, complete sandbox proof, selected-test sufficiency proof, external model access, or source-file changes.

Source module src/microcosm_core/organs/batch7_macro_engines_capsule.py

Source part _agent_trace_exercise_dag_exercise_release_root_exercise_source_surgeon_exercise+4

Set 9 Source Engines BundleSet 9 Source Engines Bundle imports backend and governance source-engine bodies and exercises provenance, approval, AST, finance-news, mission graph, dependency, config, edge, WorkAtlas, host-pressure, doctrine-enrichment, worker-budget, and milestone-quality invariants.Paper module

Set 9 Source Engines Bundle binds the accepted batch9_macro_engines_capsule component to its public source-open bundle. It checks thirteen copied source engines for provenance lineage, approval adjudication, Python AST indexing, finance headline clustering, mission graph compilation, dependency pin drift, config authority audit, heterogeneous edge extraction, WorkAtlas aggregation, host-pressure admission, doctrine enrichment, worker job budget gating, and milestone-relative quality accounting while excluding live lineage truth, approval authority, market/news truth, host-state truth, work log truth, external model access, source-file changes, public sharing, and launch-scope decision.

Contains 22 sections1 diagram2 references4 context groups

Scope limit Fixture-bound public source-body import and deterministic exercise evidence only; no live lineage truth, human approval authority, real market/news truth, host-state truth, work log truth, external model access, source-file changes, public sharing, launch-scope decision, or whole-system equivalence.

Source module src/microcosm_core/organs/batch9_macro_engines_capsule.py

Source part resolve_lineageadjudicate_approvalbuild_ast_doc_treecompile_mission_graph+4

Pattern AssimilationPattern Assimilation validates public completion-learning metadata, owner-routed refinement result records, typed nothing-to-refine decisions, and copied body-import manifests without promoting local lessons into global doctrine.Paper module

Pattern Assimilation binds the accepted pattern_assimilation_step component to the public sign-off validator, first-wave fixture, exported assimilation bundle, source-module manifest, standard row, and metadata-only result records. It checks same-lane completion decisions, owner-surface refinement evidence, stewardship and re-entry fields, duplicate result record rejection, local-lesson scope limits, source note exclusion, copied body imports, and public-relative result record paths while excluding live ledger mutation, source notes ingestion, model-output data, global doctrine changes, launch, public sharing, behavior-change proof, and non-public data equivalence.

Contains 24 sections1 diagram5 references4 context groups

Scope limit Public fixture metadata, exported assimilation bundle metadata, copied body-import digest evidence, and metadata-only result records only; no live work log or work log mutation, source note ingestion, global doctrine changes, launch or publishing-scope decision, external model access, behavior-change proof, non-public data equivalence, or whole-system correctness.

Source module src/microcosm_core/validators/acceptance.py

Source part validate_pattern_assimilationrun_assimilation_bundlevalidate_source_module_manifest_write_jsonl_upsert+3

Set 10 Governance And Compilers BundleSet 10 Governance And Compilers Bundle imports governance, compiler, launch, finance, dependency, DAG, table, reference, and recent-change source bodies as public source-open evidence without granting live ledger, public sharing, launch, market, or source-file changes.Paper module

Set 10 Governance And Compilers Bundle binds the accepted batch10_governance_compilers_capsule component to a refreshed source-open bundle. It exercises governed-mutation intent, observe/apply compilation, public-proof review, launch blocker triage, public sharing path contracts, result record reuse, no-lookahead horizons, session-wave execution, claim-conflict wait tax, role-aware DAG blocking, frontend table shaping, reference grouping, recent-change coalescing, and the deferred Set-9 lane-width repair while preserving copied source digests, negative cases, and scope limits.

Contains 19 sections1 diagram6 references4 context groups

Scope limit Fixture-bound public source-body import, source-faithful public refactor evidence, deterministic exercise evidence, and metadata-only result records only; no live work log truth, live work log truth, source-file changes, publishing-scope decision, launch-scope decision, external model access, market advice, whole-system equivalence, neutral benchmark claim, or whole-system correctness.

Source module src/microcosm_core/organs/batch10_governance_compilers_capsule.py

Source part _build_integrity_matrix_source_evidence_evaluaterun+4

Set 11 Saturation Engines BundleSet 11 Saturation Engines Bundle imports saturation, diagnostic, wayfinding, market-board, secret-scan, and demo-take source bodies as public source-open evidence without granting live runtime, launch, market, or navigation authority.Paper module

Set 11 Saturation Engines Bundle binds the accepted batch11_saturation_engines_capsule component to a refreshed source-open bundle. It exercises run-affinity scoring, calculator cluster insight derivation, std_python delta gating, exogenous navigation grading, portability supersession rollup, shard browse priority, holographic evidence selection, projection secret scanning, stockgrid flow normalization, source-regime board bucketing, frontend wayfinding, agent-session diagnostic lenses, and demo-take coverage auditing while preserving copied source digests, computed negative probes, and scope limits.

Contains 24 sections1 diagram2 references4 context groups

Scope limit Fixture-bound public source-body import, source-faithful public port evidence, computed negative-probe evidence, and metadata-only result records only; no live work log truth, navigation authority, complete secret detection, live market data, investment-related actions, raw transcript authority, video capture, source-file changes, publishing-scope decision, launch-scope decision, external model access, whole-system equivalence, or whole-system correctness.

Source module src/microcosm_core/organs/batch11_saturation_engines_capsule.py

Source part _build_integrity_matrix_source_evidence_evaluaterun+4

Set 4 Proof, Authority, and Runtime BundleSet 4 Proof, Authority, and Runtime Bundle imports proof-search, reasoning-authority, completion, Codex runtime, bitemporal, taskpolicy, and context-yield source bodies as public source-open evidence without claiming proof success, benchmark claims, live runtime control, or launch-scope decision.Paper module

Set 4 Proof, Authority, and Runtime Bundle binds the accepted batch4_proof_authority_runtime component to a refreshed source-open bundle. It exercises Lean strategy-control and prover-skill witnesses, VeriSoftBench harness and calibration rows, Erdos #257 certificate-kernel static checks, Lean packet integrity, reasoning grant and plan authority fences, forward-integration policy, completion executor deferral, Codex driver and idle heartbeat diagnostics, metabolism claim logs, taskpolicy passthrough, and context-yield attribution while preserving copied source digests, bounded negative cases, and scope limits.

Contains 20 sections1 diagram3 references4 context groups

Scope limit Fixture-bound public source-body import, static proof-placeholder checks, dry-run authority-boundary evidence, source-anchor evidence, negative-case evidence, and metadata-only result records only; no theorem success, Erdos #257 solution, official benchmark claims, live sandbox enforcement, live Codex orchestration, external model access, source-file changes, publishing-scope decision, launch-scope decision, whole-system equivalence, or whole-system correctness.

Source module src/microcosm_core/organs/batch4_proof_authority_runtime.py

Source part _load_manifest_module_rows_mechanism_status_erdos_static_scan+4

Set 6 Unsurfaced Primitives BundleSet 6 Unsurfaced Primitives Bundle imports provenance, operator-handoff, market, finance, provider-recovery, and demo-take source primitives as public source-open evidence without granting live operator memory, market, provider, media, public sharing, or launch-scope decision.Paper module

Set 6 Unsurfaced Primitives Bundle binds the accepted batch6_unsurfaced_primitives_capsule component to source-open primitive exercises. It checks source note keyphrase scoring, schema-loose distillation, operator handoff linkage, observed-turn window merging, market situation graphs, finance numeric assurance, fail-closed policy judgment, clone-local concurrency, market-clock scheduling, provider-recovery scoping, and demo-take temporal remapping while preserving public fixture inputs, exact-source digest expectations, negative cases, and scope limits.

Contains 26 sections1 diagram5 references4 context groups

Scope limit Fixture-bound public source-body import, copied-module digest/anchor evidence, synthetic source-exercise evidence, and metadata-only result records only; no live operator memory, prompt-shelf capture authority, live market data, provider/browser state, media launch, source-file changes, publishing-scope decision, launch-scope decision, whole-system equivalence, or whole-system correctness.

Source module src/microcosm_core/organs/batch6_unsurfaced_primitives_capsule.py

Source part _load_manifest_module_rows_load_copied_module_mechanism_status+4

Engine Room Public Projection Leak GateThe Engine Room public projection leak gate validates rendered public projection roots for account secret-shaped strings, non-public paths shapes, symlink escapes, policy-exception handling, and optional gitleaks status while keeping findings hash-only.Paper module

Engine Room Public Projection Leak Gate is a DLP-style projection boundary. It scans rendered public projection files and paths, checks symlink escapes, records policy-exception hits as hash-only evidence, reports optional gitleaks status, and validates two positive plus three negative fixture cases without copying sensitive payloads, approving launch, or claiming general security, prompt-injection, sandbox, or information-flow authority.

Contains 24 sections1 diagram5 references4 context groups

Scope limit Public projection leak-gate fixture and rendered-root scan result records only; no general security scanner, prompt-injection defense, sandbox, information-flow proof, launch-scope decision, whole-system equivalence, source-file changes, or whole-system correctness.

Source module src/microcosm_core/engine_room/public_projection_leak_gate.py

Source part scan_projectionrun_gitleaksevaluate_fixture_dirmain

Set 5 Authority and Systems BundleSet 5 Authority and Systems Bundle imports post-execution authority, replay, proof-repair, process, generated-state, trace, blast-radius, and doctrine-graph source bodies as public source-open evidence without claiming live authority or launch-scope decision.Paper module

Set 5 Authority and Systems Bundle binds the legacy Markdown projection, Set 5 runnable source locus, exported copied-source bundle, source-module digests, synthetic negative exercises, metadata-only result records, and scope limits to a mechanism-backed JSON bundle. It covers post-execution result record validation, reasoning replay scope and lineage, verifier-gated Lean repair harnessing, process orphan classification, generated-state fixpoint settlement, trace-tape compaction, code blast radius, and doctrine graph compilation while preserving fixture boundaries.

Contains 19 sections1 diagram5 references4 context groups

Scope limit Fixture-bound public source-body import, copied-module digest and anchor evidence, synthetic source-exercise evidence, and metadata-only result records only; no live external model access, proof success, process signal authority, generated-state mutation authority, source-file changes, publishing-scope decision, launch-scope decision, whole-system equivalence, or whole-system correctness.

Source module src/microcosm_core/organs/batch5_authority_systems_capsule.py

Source part _receipt_validator_exercise_replay_scope_exercise_proof_contract_gate_exercise_orphan_reaper_exercise+4

Set 7 Oracle Sibling BundleSet 7 Oracle Sibling Bundle imports Oracle sibling source bodies and exercises deterministic subject-index, snapshot, truth-diff, quartet-plan, and original pytest witness boundaries.Paper module

Set 7 Oracle Sibling Bundle binds the runnable Oracle sibling source locus, exported copied-source bundle, source-module digests, original pytest witnesses, deterministic subject-index/snapshot/truth-diff/quartet-plan exercises, negative cases, metadata-only result records, and scope limits to a mechanism-backed JSON bundle without claiming accepted-component authority or semantic truth authority.

Contains 20 sections1 diagram4 references4 context groups

Scope limit Fixture-bound public Oracle source-body import, copied-module digest and anchor evidence, deterministic local exercise evidence, original pytest witness evidence, and metadata-only result records only; no Oracle reasoning authority, semantic truth authority, external model access, bridge-backed reasoning, private orchestration engine invocation, source-file changes, publishing-scope decision, launch-scope decision, whole-system equivalence, complete Oracle coverage, or whole-system correctness.

Source module src/microcosm_core/organs/batch7_oracle_sibling_capsule.py

Source part _subject_index_engine_subject_snapshot_engine_truth_diff_macro_engine_quartet_repair_engine+4

Set 7 Demo Take Console BundleSet 7 Demo Take Console Bundle imports Swift capture-console source bodies and exercises SwiftPM build, recording-state, helper-bridge, recorder-store, hotkey/audio-meter, and transcribe-payload boundaries.Paper module

Set 7 Demo Take Console Bundle binds the runnable Demo Take Console source locus, exported copied Swift source bundle, source-module digests, SwiftPM build-witness posture, deterministic recording-state/helper-bridge/recorder-store/hotkey-audio-meter/transcribe-payload exercises, negative cases, metadata-only result records, and scope limits to a mechanism-backed JSON bundle without claiming accepted-component authority, app launch authority, or recording authority.

Contains 21 sections1 diagram5 references4 context groups

Scope limit Fixture-bound public Swift source-body import, copied-module digest and anchor evidence, deterministic local exercise evidence, SwiftPM build-witness evidence, and metadata-only result records only; no app launch authority, screen capture authority, microphone capture authority, recording-session export, FFmpeg execution, WhisperKit/model dispatch, source-file changes, publishing-scope decision, launch-scope decision, whole-system equivalence, complete UI coverage, or whole-system correctness.

Source module src/microcosm_core/organs/batch7_demo_take_console_capsule.py

Source part _swiftpm_build_witness_recording_state_control_model_capture_helper_bridge_contract_recorder_store_capture_fsm+4

Engine Room Generated Projection Drift GatePublic generated-projection drift fixture: owner-routed checks fingerprint declared sources and artifacts, reuse clean result records only under matching hashes, and fail planted-byte or missing-artifact cases.Paper module

Engine Room Generated Projection Drift Gate is a generated-artifact freshness bundle. It validates projection owner selection from changed paths, declared source and artifact fingerprints, no-write check return codes, source-hash cache reuse, planted-byte detection, and missing-artifact failure over four public fixtures while keeping semantic drift proof, repair authority, full source registry validation, launch, and private-system claims out of scope.

Contains 25 sections1 diagram4 references4 context groups

Scope limit Public owner-routed generated projection drift fixture and focused regression result records only; no semantic drift proof, full source registry validation, repair authority, launch-scope decision, whole-system equivalence, source-file changes, external model access, or whole-system correctness.

Source module src/microcosm_core/engine_room/generated_projection_drift_gate.py

Source part ProjectionOwnerselect_projection_ownerscheck_projection_driftevaluate_fixture_dir+2

Engine Room Command-Run SingleflightPublic command-run singleflight fixture: content-addressed subprocess keys collapse duplicate active runs and replay captured result records without claiming scheduler or daemon authority.Paper module

Engine Room Command-Run Singleflight is a subprocess singleflight bundle. It validates content-addressed command keys, scoped dirty/content fingerprints, fcntl leader/follower election, completed-run reuse, captured output replay, and two negative boundaries over fixture commands while keeping scheduler, daemon, distributed-lock, live-state export, launch, and private-system claims out of scope.

Contains 19 sections1 diagram3 references4 context groups

Scope limit Public subprocess singleflight fixture and focused regression result records only; no job scheduler, daemon, distributed lock service, live command_runs export, external model access authority, launch-scope decision, whole-system equivalence, source-file changes, or whole-system correctness.

Source module src/microcosm_core/engine_room/command_run_singleflight.py

Source part build_command_keyrun_command_singleflightevaluate_fixture_dir_run_leader+1

Engine Room Metabolism RuntimeStaged Engine Room component: synthetic SQLite metabolism runtime exercise for queues, leases, blackboard projection, and reconciliation.Paper module

Engine Room Metabolism Runtime explains the metabolism runtime component inside the accepted Engine Room demo. It exercises synthetic SQLite queue state, lease recovery, blackboard claim projection, and cold-start reconciliation fixtures without exporting private runtime state or dispatching providers.

Contains 27 sections1 diagram5 references4 context groups

Scope limit Component evidence for the accepted staged Engine Room demo only; not a live non-public runtime export, not external model service, not agent dispatch, not distributed database proof, not launch-scope decision, and not source-file changes.

Source module src/microcosm_core/engine_room/metabolism_runtime.py

Source part evaluate_fixture_dirbuild_parsermainORGAN_ID+1

Engine Room Bridge Campaign DAGStaged Engine Room component: pre-dispatch bridge-campaign DAG validator for typed nodes, acyclicity, synthesis reachability, and provider fan-out ceilings.Paper module

Engine Room Bridge Campaign DAG binds the staged pre-dispatch campaign validator to the accepted Engine Room demo mechanism. It validates typed probe/reducer/synthesis graphs, rejects cycles, requires synthesis nodes to trace back to probe evidence, checks provider parallelism ceilings, and emits public fixture result records without dispatching providers or proving campaign execution safety.

Contains 23 sections1 diagram4 references4 context groups

Scope limit Component evidence for the accepted staged Engine Room demo only; no external model access, campaign execution, reducer or synthesis correctness proof, provider safety proof, launch-scope decision, whole-system equivalence, source-file changes, or whole-system correctness.

Source module src/microcosm_core/engine_room/bridge_campaign_dag.py

Source part validate_campaignvalidate_fixture_dirmainSCHEMA_VERSION+1

Engine Room Reference Knowledge RouterPublic Engine Room component: sanitized reference router for structured fields, note relevance, domain filters, and no-match boundaries.Paper module

Engine Room Reference Knowledge Router binds the staged reference-routing bundle to a concrete mechanism. It scores structured routing metadata, family text, open-first summaries, and curated notes over public fixtures, then rejects domain-mismatch and empty-query cases without cloning repositories, exporting private reference material, or claiming BM25, TF-IDF, embedding, license, launch, or private-system authority.

Contains 27 sections1 diagram4 references4 context groups

Scope limit Public sanitized-reference routing fixture and focused regression evidence only; no BM25, TF-IDF, embedding search, repository cloning, license authority, private reference corpus export, launch-scope decision, whole-system equivalence, source-file changes, or whole-system correctness.

Source module src/microcosm_core/engine_room/annex_knowledge_router.py

Source part route_annexesroute_catalogsort_notes_by_relevanceevaluate_fixture_dir+1

Engine Room Derived Fact Provider EnginePublic Engine Room component: registry-backed derived fact provider over JSON pointers, glob counts, git-backed callables, and provider error rows.Paper module

Engine Room Derived Fact Provider Engine binds the staged derived-fact bundle to a concrete mechanism. It resolves JSON-pointer, glob-count, and git-backed callable fact rows over public fixture roots, records provider errors as repairable data, and keeps derived-fact availability below truth-audit, semantic-claim-validation, full source registry, launch, and private-system authority.

Contains 24 sections1 diagram4 references4 context groups

Scope limit Public fixture-root fact-provider evidence only; no doctrine truth audit, no semantic claim validation, no full source fact registry export, no launch-scope decision, no whole-system equivalence, no source-file changes, and no whole-system correctness.

Source module src/microcosm_core/engine_room/derived_fact_provider_engine.py

Source part resolve_json_pointerevaluate_providerevaluate_registryevaluate_fixture_dir+1

Engine Room Egress Self-Compliance GatePublic Engine Room component: phrase-membership egress gate for permission ceremony, self-error capture binding, and command-displacement evidence.Paper module

Engine Room Egress Self-Compliance Gate binds the staged egress bundle to a concrete mechanism. It detects permission ceremony without a real blocker, self-error statements without durable capture, and command handoff language without execution evidence over public fixtures, while accepting bounded blocker or result record language and refusing taint-analysis, prompt-injection-defense, sandbox, information-flow, launch, and private-system claims.

Contains 23 sections1 diagram4 references4 context groups

Scope limit Public phrase-policy fixture evidence only; no taint analysis, prompt-injection defense, sandboxing, information-flow proof, launch-scope decision, whole-system equivalence, source-file changes, or whole-system correctness.

Source module src/microcosm_core/engine_room/egress_self_compliance_gate.py

Source part detect_permission_gate_without_blockerdetect_self_error_without_capturedetect_command_displacement_to_operatorevaluate_text+2

Engine Room Lean Proof Search LabPublic Engine Room component: bounded Lean proof-search lab for tiny fixture statements, oracle-firewall negatives, ablation, and axiom-cleanliness checks.Paper module

Engine Room Lean Proof Search Lab binds the staged proof-search bundle to a concrete mechanism. It runs tiny public Lean statements through symbolic tactic search, statement-only candidate scoring, problem-id ablation, forward oracle-body rejection, and axiom cleanliness checks, while keeping private source run state, oracle proof bodies, neural theorem proving, frontier-scale automation, launch, and private-system authority out of scope.

Contains 20 sections1 diagram4 references4 context groups

Scope limit Public tiny-fixture Lean proof-search evidence only; no neural theorem proving, frontier-scale automation, private source run export, oracle-body forward solving, launch-scope decision, whole-system equivalence, source-file changes, or whole-system formal-result correctness.

Source module src/microcosm_core/engine_room/lean_proof_search_lab.py

Source part LeanProblemrun_and_or_searchrun_statement_only_hammerrun_blind_policy_ablation+3

Engine Room Navigation Fitness BenchmarkPublic Engine Room component: route-packet benchmark evaluator for stable-id recall, precision, forbidden first routes, latency, and debt candidates.Paper module

Engine Room Navigation Fitness Benchmark binds the staged navigation-fitness bundle to a concrete mechanism. It evaluates public route-packet fixtures for expected stable-id recall, precision, forbidden first routes, latency budgets, scent terms, and debt candidates without running the private kernel, validating embeddings, claiming universal benchmark authority, or upgrading launch/private-system status.

Contains 26 sections1 diagram4 references4 context groups

Scope limit Public route-packet fixture evidence only; no live private kernel run, no embedding benchmark, no universal navigation benchmark, no launch-scope decision, no whole-system equivalence, no source-file changes, and no whole-system correctness.

Source module src/microcosm_core/engine_room/navigation_fitness_benchmark.py

Source part NavigationFitnessTaskevaluate_taskevaluate_benchmarkevaluate_fixture_dir+1

Cold Clone ProbeThe cold-clone probe validates the first public source-root bootstrap path: src import, secret-exclusion scan, first-wave pattern-binding fixture replay, public result record refs, and ignored local result record emission.Paper module

Cold Clone Probe is the public source-root bootstrap membrane. It binds bootstrap.sh, src/microcosm_core/cold_clone_probe.py, the first-wave pattern-binding fixture, the secret-exclusion scan, public relative result record refs, and focused tests so a fresh checkout has one bounded proof of first-run mechanics before install, CI, hosted launch, or full component inventory review.

Contains 19 sections1 diagram5 references4 context groups

Scope limit Public source-root bootstrap mechanics and metadata-only result record refs only; no launch-scope decision, hosted-product readiness, external model access, source-file changes, whole-system equivalence, publishing-scope decision, or whole-system correctness.

Source module src/microcosm_core/cold_clone_probe.py

Source part REQUIRED_INPUTSPATTERN_RECEIPTSDEFAULT_EMIT_REF_mirror_missing_pattern_receipts+3

First-Screen Composition RootThe first-screen composition root validates the public one-screen entry card, reader branches, omission result records, evidence accounting frame, text projection, README order, and scope limit without becoming launch or hosted-publishing-scope decision.Paper module

First-Screen Composition Root is the public entry-card contract for Microcosm. It binds the package card helper, CLI emitter, standard, README entry order, reader branch ids, doctrine-effect frame, omission result record, observatory landing refs, text projection, and focused tests so a cold reader sees what to inspect first without treating counts as maturity scores or route cards as launch, hosted-public sharing, provider, source-file changes, private-equivalence, or whole-system proof.

Contains 21 sections1 diagram5 references4 context groups

Scope limit Public first-screen card composition and focused validation only; no launch-scope decision, hosted-publishing-scope decision, external model access authority, source-file changes, non-public data equivalence, score-based progress, reader-success certification, or whole-system correctness.

Source module src/microcosm_core/first_screen_composition.py

Source part first_screen_composition_cardfirst_screen_compact_cardfirst_screen_text_card_standard_backed_first_screen_scan+1

Set 7 Secondary Runtime BundleSet 7 Secondary Runtime Bundle imports runtime, graph, cartography, stockgrid, and Polymarket bodies and exercises their fixture-bound boundaries.Paper module

Set 7 Secondary Runtime Bundle binds the accepted batch7_secondary_runtime_capsule component to copied runtime view-model, lane-progress, graph-lens, graph-projection, cartography, stockgrid, and Polymarket source bodies. It exercises eight fixture engines, source digest anchors, required anchors, UI witness metadata, synthetic runtime packets, synthetic market rows, negative cases, and scope limits while excluding browser/session export, wallet authority, live market data, investment-related actions, external model access, launch-scope decision, whole-system equivalence, semantic truth, and complete UI or ranking coverage.

Contains 21 sections1 diagram3 references4 context groups

Scope limit Fixture-bound public source-body import and secondary runtime/market witness evidence only; no browser/session export, wallet authority, live market data, investment-related actions, external model access, launch-scope decision, whole-system equivalence, semantic truth, source-file changes, or complete UI/ranking coverage proof.

Source module src/microcosm_core/organs/batch7_secondary_runtime_capsule.py

Source part _stockgrid_exercise_polymarket_clob_exercise_polymarket_score_exercise_evaluate+4

Microcosm Axiom SystemThe public Plectis axiom system routes readers from axiom doctrine to the read-only support-cover evaluator, routing registry, standard, tests, and result records without claiming proof, launch, or source-file changes.Paper module

Plectis Axiom System is the public doctrine/routing boundary for axiom support. Its bundle binds the authored paper-module projection to the axiom support-cover mechanism and validator locus, with source refs to AXIOMS.md, PRINCIPLES.md, ANTI_PRINCIPLES.md, core/axiom_organ_routing.json, standards/std_microcosm_axiom.json, and focused tests. The validator computes support cases, anti-axiom rejection mappings, candidate pressure, and strong-gate pressure as a read-only projection.

Contains 22 sections1 diagram4 references4 context groups

Scope limit Public doctrine/routing/standard/result record evidence and read-only evaluator result records only; axiom witness-route source authority remains core/axiom_organ_routing.json, and claim_ceiling/strongest_allowed_claim remain computed by validator.microcosm.axiom_support_cover, not hand-stamped by this bundle or generated projections. No axiom proof certification, no candidate-law promotion, no source-file changes, no provider/Lean/Lake execution, no launch/publishing-scope decision, no whole-system equivalence, and no whole-system correctness.

Source module src/microcosm_core/validators/axiom_support_cover.py

Source part evaluate_axiom_support_cover_compile_support_case_axiom_verdict_strong_gate_summary+2

Semantic Singleflight Dedup RuntimeThe semantic singleflight dedup runtime surfaces the public command-run singleflight bundle and dedups command runs by a content key built from argv, resolved cwd, git HEAD, a scoped dirty-tree fingerprint, and an env fingerprint, over bounded public fixtures only.Paper module

Semantic Singleflight Dedup Runtime is the public operational-discipline replay for content-addressed command dedup. It runs bounded fixture exercises that build the command key, show a leader run and a completed-run reuse hit (the side-effecting counter stays at 1), and observe two negative cases: a scoped file mutation that flips the key so a stale working tree cannot answer for a different run, and an empty command that is rejected. It writes metadata-only result records and surfaces microcosm_core.engine_room.command_run_singleflight without exporting live state.

Contains 22 sections1 diagram2 references3 context groups

Scope limit Public fixture and result record evidence only; it keys and dedups command runs by repo-state fingerprint and does not guarantee global mutual exclusion, does not replace a lock service, cannot prove cross-host correctness, and is not a job scheduler, a daemon, live run-state export, launch-scope decision, or publishing-scope decision.

Finite Erdos Denominator-Order Certificate StrikeThe finite Erdos denominator-order certificate strike surfaces the public finite_denominator_order_certificate bundle and verifies, in exact rational arithmetic, that ord_Q(b)=lcm(F) for S_F(b)=sum 1/(b^n-1)=P/Q over bounded public fixtures.Paper module

Finite Erdos Denominator-Order Certificate Strike is the public formal-math replay for the finite period-noncollapse certificate. It sums 1/(b^n-1) over a finite support as an exact Fraction, reads the reduced denominator Q, computes the multiplicative order of b mod Q, cross-checks Q against the closed form B/gcd(A_L,B), and confirms ord_Q(b)=lcm(F) on small cases including a reducing case. It self-falsifies: a forged order or denominator is rejected by recomputation. It writes metadata-only result records and surfaces microcosm_core.engine_room.finite_denominator_order_certificate without calling providers.

Contains 22 sections1 diagram2 references3 context groups

Scope limit Public fixture and result record evidence only; it computes a finite denominator-order certificate in exact arithmetic and does not establish the open infinite Erdos #257 problem, is not an oracle, prover, or provider result, is not a machine-checked proof of even the finite statement, and is not launch-scope decision or publishing-scope decision.

Bridge Campaign DAG ValidationThe bridge campaign DAG validation component surfaces the public bridge_campaign_dag bundle and checks, over bounded public fixtures, that a fan-in campaign graph is well formed: unique labels, existing dependency edges, acyclicity, exactly one synthesis reaching a probe, barrier alignment, and a worker count within the provider safe-parallelism ceiling.Paper module

Bridge Campaign DAG Validation is the public agent-orchestration replay for a fan-in campaign graph. It validates each campaign spec against a subset of the source CR/VR rule families: schema and identity, unique node labels, dependency edges that reference existing nodes, DFS acyclicity, exactly one synthesis node that reaches a probe, a barrier naming that synthesis, and a requested worker count within the provider safe-parallelism ceiling. It accepts a linear chain and a three-way fan-in, and self-falsifies: a cyclic campaign is rejected with CR012 and a two-synthesis campaign with CR013. It writes metadata-only result records and surfaces microcosm_core.engine_room.bridge_campaign_dag without dispatching agents or calling providers.

Contains 18 sections1 diagram2 references3 context groups

Scope limit Public fixture and result record evidence only; it validates campaign DAG structure and does not dispatch agents, execute campaigns, prove provider correctness or safety, and is not launch-scope decision or publishing-scope decision.

Source module src/microcosm_core/organs/bridge_campaign_dag_validation.py

Source part build_resultresult_cardrun_evaluate_case+1

Metabolism Queue ReconciliationRuns a synthetic SQLite durable-queue bundle over public fixtures and rejects planted job/run/log inconsistencies by recomputing the reconciliation taxonomy.Paper module

Metabolism Queue Reconciliation surfaces the Engine Room metabolism_runtime bundle: a stdlib-only synthetic SQLite job queue with idempotency-guarded enqueue, lease claim and expired-lease recovery, a blackboard claim-event projection where contradictions invalidate assertions, and a cold-start reconciler over the job/run/log triple. The component exercises two clean scenarios (lease recovery to recoverable with a healthy reconcile; a contradiction zeroing active claims) and two planted-defect scenarios (a running job with no run row; a finalized run whose job is still running), asserting the reconciler rejects each defect with its expected rule id. Status is pass only when both positives compute clean, both negatives are rejected with the expected marker, and both expected negative ids are present. No live private database, no agent dispatch, no external model access, no auto-repair.

Contains 22 sections1 diagram2 references3 context groups

Scope limit Real-system bundle run over public fixtures; status pass attests only that the synthetic queue/reconciliation computation behaved as specified on these bounded cases. Does NOT export the live private metabolism database/scheduler, does NOT dispatch agents, does NOT use external model services, does NOT auto-repair ambiguous runtime state, is NOT a distributed database, is NOT an oracle/prover, and excludes launch, public sharing, production use, or source-file changes.

Source module src/microcosm_core/organs/metabolism_queue_reconciliation.py

Source part build_resultrun_evaluate_caserun_metabolism_queue_reconciliation_bundle

Derived Fact Provider RuntimeRegistry-backed derived fact provider runtime: resolves JSON-pointer, glob-count, and git-backed callable facts over public fixture roots and turns provider failures into error-as-data rows, rejecting malformed registries by recomputation.Paper module

Surfaces the derived_fact_provider_engine bundle as an component. It evaluates authored fact registries against bounded public fixture roots through three provider shapes — json_pointer (RFC 6901, list-index aware), glob_count (with excluded prefixes), and named callable facts (git-tracked counts) — and converts any provider failure into an error-as-data row (provider_status=error, error_class, repair hint) that degrades the result record rather than crashing the ledger. The runner exercises two clean registries (pointer+glob; git-callable+array-index pointer) and self-falsifies on two planted defects (an absent source path -> FileNotFoundError, an unsupported provider_type -> ValueError), asserting the exact error_class marker fires. Result records are metadata-only. It is not a doctrine truth auditor, not a full source registry export, not semantic claim validation, and grants no launch/publishing-scope decision.

Contains 24 sections1 diagram2 references3 context groups

Scope limit A pass means the surfaced fact-provider bundle resolved the authored fixture registries against their supplied roots and rejected the planted-defect registries by recomputation with the expected error_class. It does NOT mean any downstream prose claim is true (not a doctrine truth auditor), does NOT cover the full source fact registry (not a full export), does NOT perform semantic claim validation, does not establish the provider correct beyond the bounded fixtures, and grants NO launch, public sharing, private-source-export, or source-file changes. The only runtime variability admitted is filesystem reads, the git subprocess used by callable facts (over isolated tempdirs), and CLI argument reads.

Source module src/microcosm_core/organs/derived_fact_provider_runtime.py

Source part build_resultrun_evaluate_caseresult_card+1

Navigation Fitness BenchmarkRecomputes a curated route-packet navigation benchmark — recall, precision, forbidden-first-route, scent coverage, latency, and debt — over bounded public fixtures, accepting a case only when the recomputation matches its planted expectation.Paper module

Navigation Fitness Benchmark surfaces the engine-room route-packet benchmark bundle. Each fixture pairs a navigation task (expected stable ids, forbidden first routes, latency budget, scent terms) with the route packet a router actually produced. The bundle recomputes recall/precision against the expected ids, checks the first route against the forbidden list, scores scent coverage, derives a latency verdict, and collects sufficiency/latency debt — then reports whether the recomputation matches the case's planted expectation. Two positive cases match their expectations and are accepted (one carrying an honestly-anticipated latency debt); two negative cases plant a route defect plus a deliberately-wrong "it passed" expectation, which the recomputation contradicts, so they are rejected with the real failure marker (missing_id, forbidden_route) firing. Scope: curated public fixtures only — not a live kernel run, not an embedding benchmark, not a universal navigation score, not launch-scope decision.

Contains 20 sections1 diagram2 references3 context groups

Scope limit Command-result record evidence over bounded public fixtures, not runtime-product completeness. A pass means the curated route-packet cases recomputed as expected (positives accepted, negatives rejected by recomputation with the expected markers); it does NOT establish live private-kernel navigation quality, embedding quality, universal benchmark authority, deployment posture, or launch/public sharing authorization. Result records are metadata-only command evidence, bounded evidence of system correctness.

Source module src/microcosm_core/organs/navigation_fitness_benchmark.py

Source part build_resultrun_evaluate_caserun_navigation_fitness_benchmark_bundle+1

Reference Knowledge RoutingExplainable tiered weighted-token retrieval that ranks a sanitized reference catalog against a problem statement and rejects unroutable problems with no_match.Paper module

Reference Knowledge Routing scores each entry of a sanitized in-memory reference catalog against a problem statement across four descending-weight tiers — structured routing fields, family text, open-first summaries, then curated notes — combining exact-match, phrase-containment, and token-overlap signals per tier into a ranked list with a per-row match breakdown and matched note ids. It is deliberately a transparent keyword-overlap retriever, not BM25/TF-IDF/embeddings/semantic search, and it routes only over the catalog handed to it (no repo cloning, no private corpus, no license authority). The component exercises the real bundle over four public fixtures: two positives route cleanly to the expected top slug above a minimum score (one via structured fields, one via a curated note), and two negatives self-falsify by recomputing to no_match — one because the problem shares no token with the catalog, one because a domain filter excludes the only candidate. Status is pass only when both positives route, both negatives are rejected with the expected no_match marker, and both expected negative case ids are present.

Contains 28 sections1 diagram2 references3 context groups

Scope limit Real-system bundle surfaced over bounded public fixtures. Does NOT clone repositories, ship the private reference corpus, perform semantic/embedding/BM25/TF-IDF search, adjudicate licenses or provenance, use external model services or external solvers, change source files, or include launch operations or public sharing. Routes only over the sanitized catalog supplied in each case; absolute scores are catalog-relative (no statistical normalization). Not a production retrieval system and not private-system equivalent.

Source module src/microcosm_core/organs/annex_knowledge_routing.py

Source part build_resultrun_evaluate_caseresult_card+1

Egress Self-Compliance AuditPhrase-membership audit of agent-output text for three egress self-compliance slips (permission-gate-without-blocker, self-error-without-capture, command-displacement-to-operator), verified by recomputation over public fixtures.Paper module

Egress Self-Compliance Audit surfaces the egress_self_compliance_gate bundle: a transparent substring policy that flags three ways an agent's own output can break its operating discipline — asking permission with no named blocker, confessing an error with no durable capture, or displacing a command onto the operator with no execution result record. Each detector fires only when a tripwire phrase appears without its legitimiser. The component replays 2 compliant and 2 planted-violation fixtures through the live bundle, asserting each violation reproduces with its exact diagnostic marker. Honest ceiling: phrase membership only — no taint analysis, no prompt-injection defense, no semantics; paraphrased violations are missed.

Contains 29 sections1 diagram2 references3 context groups

Scope limit Command-result record evidence over bounded public fixtures, not runtime-product completeness. Establishes only that the bundle's phrase-membership detectors reproduce the declared green/red verdicts and diagnostic markers on the authored cases. Does NOT establish coverage of real agent output, semantic correctness, adversarial robustness, or any safety guarantee; excludes launch, public sharing, external model access, or source-file changes.

Source module src/microcosm_core/organs/egress_self_compliance_audit.py

Source part build_resultrun_evaluate_caserun_egress_self_compliance_audit_bundle+1

Generated Projection Drift RuntimeAn owner-routed gate that fingerprints generated artifacts against their sources, uses a prior-clean skip cache, and runs each owner's no-write check to flag projection drift by recomputation.Paper module

Generated Projection Drift Runtime surfaces a drift gate over generated build artifacts. Each owner row pairs an artifact, its source authorities, and a no-write check command. The gate SHA-256-fingerprints source and artifact files, consults a prior-clean source-hash skip cache, requires declared artifacts to be present, and runs the owner check, marking an owner clean only on a zero return with present artifacts. Four bounded public fixtures exercise it: a passing no-write check, a genuine source-hash cache hit (the check is skipped), a planted artifact byte rejected as check_command_failed, and a missing required artifact rejected as artifact_missing. It flags drift; it does not repair files, prove content-diff equivalence for every source builder, validate the whole registry, or include launch operations.

Contains 21 sections1 diagram2 references3 context groups

Scope limit A clean result means the selected owner's declared no-write check passed and its required artifacts were present for the supplied root over bounded public fixtures. It is command-result record-style evidence, not a semantic proof, not a file repairer, not full-registry validation, and not launch/public sharing/source-file changes.

Source module src/microcosm_core/organs/generated_projection_drift_runtime.py

Source part build_result_evaluate_caserunrun_generated_projection_drift_runtime_bundle+1

Lean Proof-Search Lab RuntimeGated external-tool proof-search lab that searches toy Lean theorems, checks each candidate with the installed Lean subprocess, and rejects oracle leaks, axiom taint, and problem-id memorisation by recomputation; locked and claimless when Lean is absent.Paper module

Lean Proof-Search Lab Runtime surfaces the engine-room lean_proof_search_lab bundle: a bounded and/or symbolic tactic search over public toy theorems where every candidate body is compiled by the real `lean` subprocess. It enforces three epistemic-discipline guards and self-falsifies on each: a forward oracle firewall (no proof body, oracle body, or oracle-needed premise ids may be forwarded), a #print axioms cleanliness gate (sorry-tainted candidates are rejected), and a problem-id ablation (a policy that only works because it memorised the problem id fails once the id is renamed). The component exercises one positive case (Lean closes lab_and_intro and lab_or_comm) and four planted negatives (two oracle-firewall violations, one axiom taint, one problem-id ablation failure). It is a gated external-tool witness: with Lean installed it reports tool_present_and_verified, without Lean it is terminally locked and claims no verification. Not neural theorem proving, not a solver of any open problem, no oracle-body forwarding, no launch or publishing-scope decision.

Contains 23 sections1 diagram2 references3 context groups

Scope limit Real-system external-tool witness over bounded public toy theorems. A pass attests only that the installed Lean subprocess closed the toy positive theorems and rejected the planted oracle-leak, axiom-taint, and problem-id-memorisation negatives on these fixtures. It does not establish any open mathematical problem, is NOT neural theorem proving, does NOT forward oracle proof bodies, is NOT an oracle/prover authority, and excludes launch, public sharing, production use, or source-file changes. When Lean is absent the component is locked and attests nothing at all.

Source module src/microcosm_core/organs/lean_proof_search_lab_runtime.py

Source part build_resultresult_cardrunrun_lean_proof_search_lab_runtime_bundle+3