all

92 beliefs (35 IN, 57 OUT)

IN all-api-functions-support-pg-dispatch
Every public API function (`export_markdown`, `import_json`, `import_beliefs`, `import_agent`, `sync_agent`, `hash_sources`, `check_stale`, `lookup`, `add_repo`, `list_repos`, `list_negative`) accepts `pg_conninfo`/`project_id` kwargs and routes to the corresponding `PgApi` method
OUT all-belief-inspection-is-non-mutating-and-fault-tolerant
All belief inspection operations — quality review (read-only with fault-tolerant batch handling), staleness checking (conservative non-mutating CI gate), and negative classification (defensively bounded with graceful degradation) — are uniformly non-mutating and fault-tolerant, ensuring observation never perturbs the observed system.
OUT all-belief-modification-paths-are-operationally-safe
Both human-initiated belief modifications (dialectical challenge/defend with irreversible premise transformation) and machine-generated belief modifications (LLM derivation with fail-soft validation, agent import with namespace containment) are operationally safe through independent but compositionally compatible safety mechanisms.
OUT all-belief-origins-share-deterministic-revision
All belief origins — human-initiated dialectical challenges, LLM-derived proposals, and multi-agent imports — participate in the same deterministic revision system: dialectics receive deterministic evaluation through semantic transparency (no special-casing), while agent beliefs undergo full revision through the comprehensive minimal revision primitives — no belief source escapes uniform treatment.
OUT all-belief-replacements-converge-with-topology-preservation
All mechanisms for replacing or restructuring beliefs — individual supersession with view-consistent gating, batch deduplication with bidirectional reference rewiring, and import reconciliation with dual convergent modes — both preserve network topology (no dangling references) and converge deterministically to stable states.
OUT all-corrections-are-reliable-and-auditable
Every belief correction — whether intentional (dialectical challenge/defend) or automated (contradiction-triggered backtracking, staleness-driven revision) — is both reliable (reaching correct truth state through complete mechanisms) and auditable (maintaining full traceable history of nogoods and resolutions).
OUT all-corrections-converge-on-accurate-topology
Both intentional corrections (dialectical dispute resolution with complete and reliable challenge/defend) and automated corrections (exhaustive self-correction spanning the full lifecycle) propagate through topology that is simultaneously accurate (complete dependency tracking) and convergent (deterministic stable states), meaning all correction paths — human-initiated and system-driven — reach the same equilibrium through faithful graph traversal.
IN all-defeat-mechanisms-are-reversible
Every outlist-based defeat operation (challenge, kill-switch, supersession) is inherently reversible because outlist semantics flip truth values without deleting nodes
IN all-exceptions-are-safely-handled
The system handles both automated exceptions (contradictions triggering dependency-directed backtracking) and manual challenges (irreversible premise-to-justified transformation via dialectics) safely — exceptional conditions from any origin reach correct truth states through deterministic propagation, and no exception pathway corrupts network consistency.
OUT all-external-belief-paths-are-safely-bounded
Both external belief integration pathways — LLM-driven derivation (bounded by fail-soft validation, Jaccard retraction guards, environment isolation, and safe propagation) and multi-agent import (bounded by namespace isolation, reversible kill-switches, and layered architecture) — are defense-in-depth pipelines that cannot corrupt the host network.
IN all-external-execution-is-subprocess-isolated
All LLM-facing operations execute through subprocess isolation with environment scrubbing: derive shells out to CLI binaries rather than importing SDKs (achieving provider agnosticism), and both derive and ask independently strip the CLAUDECODE environment variable (preventing recursive invocation) — two independent safety goals achieved through the same architectural choice.
OUT all-external-inputs-produce-correct-state
Both external input pathways (LLM derivation and multi-agent import) produce a fully correct persisted network state — bounded validation prevents invalid beliefs, namespace isolation prevents cross-contamination, and layered reconciliation handles all truth states — provided the agent count bug is fixed and missing source files are detected.
IN all-external-inputs-safely-integrated
Both LLM-derived beliefs and agent-imported beliefs are safely integrated into the network: defensive validation with retraction guards bounds LLM output, while complete reconciliation with dual modes and heterogeneous truth handling manages agent imports.
OUT all-identification-is-deterministic-and-collision-free
All system-generated identifiers — dialectical artifact auto-IDs, unconditionally-recorded nogood records, and colon-based agent namespace prefixes — follow deterministic patterns that prevent collisions across all three identifier spaces: dialectical, contradiction, and multi-agent.
OUT all-identifiers-are-durable-across-persistence-boundaries
All system-generated identifiers are not only deterministic and collision-free at creation time but also durable across persistence boundaries — nogood IDs survive save/load cycles via the network_meta table's high-water mark, ensuring the collision-free property is maintained across the system's entire operational lifetime rather than just within a single session
OUT all-information-flow-is-fault-tolerant-and-governed
Every information flow path through the system is simultaneously fault-tolerant (graceful degradation on FTS5 index failures, LLM timeouts, and missing source files) and governed (pure deterministic functions with fixed priority ordering, access-tag authorization gating, and token-budget constraints) — no information retrieval can fail catastrophically, and no information output can bypass authorization or exceed bounds.
OUT all-information-retrieval-is-fault-tolerant
Every information retrieval path — structured reads (FTS search with index self-healing, staleness checking with deterministic output, compact with pure bounded distillation) and LLM-synthesized queries (ask with bounded tool loops and raw search fallback) — degrades gracefully rather than failing, ensuring the system always returns useful results
OUT all-llm-interactions-are-bounded-and-fail-soft
All LLM-facing operations apply consistent defensive patterns across both interactive (ask) and batch (derive) paths: bounded execution (iteration caps, timeout handling), fail-soft error recovery (fallback to raw results or skipped proposals), and environment isolation (stripping recursive invocation variables).
OUT all-llm-operations-achieve-coverage-and-fault-tolerance
All LLM-driven knowledge operations achieve both complete coverage and fault tolerance: the derive pipeline provides safe, complete, production-ready derivation with exhaustive exploration and accurate budget allocation, while interactive queries via ask are fault-tolerant, execution-bounded, and gracefully degrading — no LLM-facing operation can crash, hang, produce unbounded output, or corrupt the network.
OUT all-llm-operations-are-defensively-bounded
All three LLM-facing operations — interactive query (ask), batch derivation (derive), and belief classification (list_negative) — apply consistent defensive patterns: bounded execution, fail-soft error handling, hallucination filtering, and graceful degradation on LLM unavailability.
IN all-modifications-achieve-dialectically-assured-governance
Every belief modification achieves governance assurance that is itself dialectically complete — modifications operate within dually-grounded governance backed by complete bidirectional dialectical assurance (forward reliability and backward recovery), meaning every modification is simultaneously topology-complete, dually-grounded, and dialectically assured
IN all-modifications-achieve-governance-assured-topology-completeness
Every belief modification — forward topology-complete transitions and backward bidirectional modifications alike — achieves full governance assurance: exception safety, rich state governance, and topology completeness are guaranteed regardless of modification direction.
IN all-modifications-are-dually-grounded-governance-assured
Every belief modification achieves governance-assured topology completeness where the governance itself rests on dual independent grounding chains — modifications are universally governed AND that governance is independently grounded by both evaluation purity and edge-case uniformity, providing two independent assurance paths for every modification.
OUT all-modifications-converge-with-reporting-and-recovery
Every modification — addition, removal, or correction — converges to a deterministic stable state with complete effect reporting and guided recovery, ensuring the system's operational history is fully transparent and every change can be understood and reversed.
OUT all-mutation-sources-are-safe-and-uniform
Every belief modification path — human-initiated dialectical challenge/defend, LLM-derived proposals, and multi-agent import/sync — is simultaneously operationally safe (atomic, bounded, deterministic) and semantically uniform (same outlist/disjunction evaluation, same edge-case handling), with no source-specific exceptions or special-case machinery at any level.
OUT all-mutations-preserve-integrity-under-adverse-conditions
Every structural modification to the belief network preserves integrity even under adverse graph conditions: mutations are uniquely identifiable, auditable, and topology-preserving, while justification addition achieves consistent multi-dimensional propagation even when the dependency graph contains dangling references.
OUT all-network-modifications-are-auditable-and-topology-preserving
All operations that modify network structure — standard mutations, deduplication, and belief import — simultaneously maintain the dependents index, preserve referential topology across both antecedent and outlist references, and produce timestamped audit records
OUT all-operations-converge-with-topology-and-recovery
Every operation — individual mutations, bulk deduplication, and import/sync — converges deterministically to stable states with three simultaneous guarantees: topology preservation (justification references rewired to survivors), complete effect reporting (structured before/after diffs), and guided recovery (surgical restoration hints for cascade victims).
OUT all-output-is-deterministic-authorized-and-resilient
All information leaving the belief network is simultaneously deterministic (pure functions with fixed priority ordering), authorized (access-tag subset-gated), budget-constrained (token limits enforced), and resilient to environmental variation (self-healing indexes, exception-free operation) — every output path enforces all four properties.
OUT all-outputs-are-normalized-deterministic-and-resilient
All system output pathways — structured inspection results (uniform fail-safe schemas for review and staleness), read-path queries (deterministic ordering with multi-tier graceful degradation), and compact summaries (pure function with budget bounds) — produce normalized, deterministic, and environmentally-resilient output regardless of upstream conditions.
IN all-query-operations-degrade-gracefully
All query operations degrade gracefully through multiple independent fallback tiers: ask cascades from LLM synthesis through bounded tool loops to raw FTS5 results on any failure, while search self-heals via index rebuilds on every save and falls back to substring matching on FTS5 unavailability — ensuring queries always return useful results regardless of LLM availability or index state.
OUT all-read-paths-are-deterministic-and-resilient
Every read-path operation produces deterministic output resilient to environmental variation: search handles missing FTS5 indexes via self-healing derived indexes and substring fallback, staleness checking produces sorted uniformly-structured CI-pipeline-ready results, and compact generates predictable bounded output from a pure function with fixed priority ordering.
OUT all-reconciliation-converges-deterministically
All reconciliation operations converge deterministically to stable states: individual propagation terminates via BFS with stop-on-unchanged, while system-wide operations (sync, dependents rebuild, recompute) all reach idempotent fixed points — the system has no divergent operational paths.
OUT all-removals-provide-reporting-and-recovery
Every belief removal — whether intentional retraction (structured before/after diffs with surgical restoration hints targeting only cascade victims with surviving premises) or automated contradiction resolution (consistent nogood records with traceable dependency-directed backtracking to least-entrenched culprits) — provides both complete effect reporting and actionable recovery guidance.
IN all-revision-mechanisms-are-traceable-and-recoverable
Every belief revision mechanism — contradiction resolution (dependency-directed backtracking with consistent nogood IDs) and defeat reversal (automatic outlist-driven recovery with surgical restoration hints) — provides complete traceability and guided recovery across all revision paths.
OUT all-safety-dimensions-converge
Four independently-established safety dimensions — dialectical determinism, edge-case uniformity, node lifecycle awareness, and mutation-source coverage — converge into a single comprehensive safety property, because each was independently derived from the same minimal evaluation core and they impose no conflicting constraints on each other.
IN all-semantic-edge-cases-are-uniform
All semantic edge cases — absence of justifications yielding premise behavior, absence of nodes producing asymmetric fail semantics, and empty antecedent lists satisfying vacuous truth — emerge from the same uniform evaluation rules without special-case handling, including the emergent disjunctive-over-conjunctive truth structure.
IN all-state-transitions-are-deterministic-and-traceable
Every belief state change — whether initiated by intentional dialectical challenge/defend or by automated contradiction resolution — follows a deterministic evaluation path and produces a complete traceable history, ensuring no state transition is opaque or unpredictable.
IN all-state-transitions-are-topology-complete-and-traceable
Every belief state transition is simultaneously deterministic with traceable history (through structured diffs and consistent artifact identification), topology-complete (reaching all transitively dependent nodes including outlist-connected ones), and robust under graph inconsistency (dangling references are safely contained) — the system never produces a state change that is untraced, incomplete, or fragile.
OUT all-structural-changes-are-identified-auditable-and-topology-preserving
Every structural modification to the belief network is uniquely identifiable (deterministic collision-free IDs for dialectical artifacts and nogoods), historically auditable (timestamped audit log entries with index consistency), and topology-preserving (reference rewrites and dependents index maintenance across mutations and deduplication).
OUT all-transformations-are-deterministic-traceable-and-boundary-safe
All belief transformations — both state transitions (dialectical challenge/defend, automated contradiction resolution) and identity transformations (irreversible premise-to-justified via challenge, restorative justified-to-premise via conversion) — are simultaneously deterministic (predictable outcomes from given inputs), traceable (complete audit trail of every change), and boundary-safe (operating within evolution-tolerant system boundaries with reproducible results).
OUT all-transformations-are-evaluation-transparent
Every structural transformation the system performs — mode expansion (conjunctive to disjunctive justifications), negation semantics (outlist defeat and absence), and dialectical identity changes (premise to justified) — is transparent to truth evaluation, producing identical results regardless of transformation history.
IN all-truth-changes-are-topology-complete-and-robust
All forms of truth change — both cascading propagation and justification addition — achieve topology-complete multi-dimensional consistency under all graph states: truth values, dependents index, and access tags cascade to every transitively dependent node including through outlist connections, even when the graph contains dangling references.
IN all-truth-effects-are-topology-complete-and-traceable
All truth effects — incremental truth changes and outlist-based defeat reversals alike — propagate completely through outlist-connected paths while maintaining full traceability through transitive cascades with audit logging and consistent artifact identification.
IN all-truth-effects-propagate-through-outlist-paths
All truth effects — both incremental truth changes and outlist-based defeat reversals — propagate completely through outlist-connected paths without requiring full network recomputation, ensuring outlist-based non-monotonic reasoning achieves the same incremental efficiency as antecedent-based reasoning
OUT ask-degrades-across-all-external-dependencies
The ask module degrades gracefully across all three external dependencies: LLM binary (catches TimeoutExpired/RuntimeError, falls back to raw search), FTS5 index (self-healing derived index with substring fallback), and source chunks database (catches OperationalError/DatabaseError and returns empty results) — no single external system failure prevents useful query responses.
IN belief-revision-covers-all-cases-uniformly
The belief revision system handles normal beliefs and all edge cases (premises from absent justifications, asymmetric missing-node semantics, vacuously valid empty antecedents) through the same minimal mechanisms (outlist defeat and dependency-directed backtracking) — no edge case requires special-case logic.
IN challenge-modifies-all-justifications
When the target has multiple justifications, the challenge node is added to the outlist of every justification, ensuring no single justification can independently keep the target IN.
OUT closed-loop-preserves-all-invariants
The closed revision-and-lifecycle maintenance loop not only sustains belief consistency but preserves all system invariants through architecturally grounded enforcement — the loop is both self-maintaining and invariant-preserving.
OUT complete-operational-uniformity-across-all-sources
All mutation sources produce fully correct persisted network state — operationally safe, semantically uniform, and consistent across all graph configurations — only when propagation handles dangling dependents without crashing and the derive pipeline's agent-count bug does not skew budget allocation.
OUT corrections-span-all-origins-with-full-auditability
Every correction mechanism — intentional dialectical challenge/defend and automated contradiction resolution — is both reliable and fully auditable with traceable history, and this complete correction coverage spans all belief origins (human, LLM, agent) — no belief from any provenance can undergo an untraced or unreliable correction.
IN defeat-reversals-are-lifecycle-governed-across-all-backends
All outlist-based defeat reversals (challenge, kill-switch, supersession) operate within metadata-enabled lifecycle governance and maintain safety across all architectural layers and storage backends — the same lifecycle state transitions and safety guarantees hold regardless of whether backed by SQLite or PostgreSQL
IN dependency-tracking-is-complete-for-all-reference-types
The dependents index fully tracks all relationship types — both antecedent references and outlist references — enabling complete incremental propagation for every truth value change without requiring periodic full recompute as a fallback
OUT deterministic-history-extends-to-all-origins
Every state change for every belief — including externally-originated beliefs at full integration parity — follows a deterministic path with complete traceable history, meaning origin can never be used as an excuse for opacity.
OUT deterministic-self-correction-spans-all-temporal-dimensions
Self-correction operates deterministically across both temporal dimensions — creation-time contradiction resolution and maintenance-time staleness detection — on architecturally sound foundations, meaning the system's corrective behavior is predictable at every timescale.
OUT dispute-resolution-spans-all-origins
Both dispute resolution mechanisms (intentional dialectical and automated contradiction) are complete and reliable, and all belief origins participate in the same deterministic revision pipeline — every belief from any source can be disputed and resolved through identical mechanisms.
OUT external-integration-preserves-all-invariants
External beliefs are architecturally safe at ingestion and participate in the same invariant-preserving revision system as all other belief origins — architectural containment and revision parity together ensure external integration cannot corrupt system invariants.
OUT format-resilience-spans-all-external-interfaces
The system tolerates format variation at every external interface — derive output parsers support version fallback, import parsers silently skip unknown fields, storage handles schema evolution — and extends this resilience to LLM response parsing, where the list-negative parser uses regex extraction to recover structured data from prose-laden responses.
IN idempotent-reimport-skips-all
Covered by existing `import-skips-existing-sync-is-remote-wins` which captures the idempotent import behavior
OUT information-boundaries-are-controlled-at-all-levels
The system controls information flow at every boundary: internally through access-tag authorization gating and token-budget constraints on output, and externally through bidirectional bounds on LLM input/output quality and defensive belief ingestion pipelines
OUT input-validation-is-comprehensive-at-all-boundaries
Input validation is enforced at every system boundary through complementary mechanisms: typed exceptions (ValueError for duplicates, PermissionError for access violations) enforce API-level preconditions at the call boundary, while defense-in-depth reference validation (import normalization dropping unknown refs, nogood filtering skipping invalid nodes, hallucinated ID rejection) catches invalid node references at every data-acceptance boundary.
IN list-clusters-partitions-all-beliefs
`list_clusters` assigns every input belief to exactly one cluster with no drops or duplicates — the union of all cluster members equals the input set.
IN mcp-bridge-is-timeout-bounded-at-all-phases
MCP bridge operations are timeout-bounded at both connection establishment (30s) and per-tool execution (60s), preventing indefinite blocking on unresponsive MCP servers at any lifecycle phase.
IN migrated-retraction-all-identification-is-deterministic-and-collision-free-j0
review-beliefs: "Collision-free" is strictly stronger than the "consistent, referenceable identification" established by the antecedents — addressability does not imply collision prevention across identifier spaces. (defeats all-identification-is-deterministic-and-collision-free justification 0)
IN migrated-retraction-all-llm-interactions-are-bounded-and-fail-soft-j0
review-beliefs: The claim attributes environment isolation to both paths, but only the derive antecedent mentions it; additionally "All LLM-facing operations" is overclaimed when review and list-negative modules are unaddressed. (defeats all-llm-interactions-are-bounded-and-fail-soft justification 0)
IN migrated-retraction-all-network-modifications-are-auditable-and-topology-preserving-j0
Invalid: doesn't cover import operations (defeats all-network-modifications-are-auditable-and-topology-preserving justification 0)
IN migrated-retraction-ask-degrades-across-all-external-dependencies-j0
review-beliefs: The claim describes FTS5 degradation via "self-healing derived index with substring fallback" but neither antecedent establishes this mechanism — the first antecedent only describes falling back TO FTS5, not handling FTS5's own failure. (defeats ask-degrades-across-all-external-dependencies justification 0)
IN migrated-retraction-propagation-automatically-cascades-on-all-truth-changes-j0
review-beliefs: The inference relies on the unstated assumption that propagation traverses the dependents index to reach all affected nodes — TMS background knowledge not captured in either antecedent (defeats propagation-automatically-cascades-on-all-truth-changes justification 0)
OUT multi-agent-safety-spans-all-layers
Multi-agent operation is safe across the full system: agent isolation prevents cross-contamination between namespaces with reversible lifecycle control, while data integrity is enforced across all three architectural layers through clean boundaries and snapshot persistence.
OUT mutation-safety-spans-all-dimensions
Every mutation is safe along three orthogonal dimensions simultaneously: source dimension (human, LLM, or agent), semantic dimension (uniform revision via outlist defeat and backtracking), and lifecycle dimension (respects retraction state and propagation bounds) — no mutation path is exempt from any dimension.
OUT operational-integrity-survives-all-graph-states
End-to-end operational integrity holds across all semantic edge cases — including vacuous premises, asymmetric absence, and empty antecedents — only when the dependents graph is consistent and propagation handles all node references safely.
OUT operational-profile-spans-all-backends
The safe, assured, resource-bounded operational profile holds identically across all storage backends — the same safety, assurance, and resource-efficiency guarantees apply uniformly to both SQLite and PostgreSQL deployments.
OUT operational-safety-spans-all-mutation-sources
Operational safety extends across both internal mutation pipelines (atomic load/save transactions, deterministic propagation, write-flag gating) and external belief ingestion pathways (defensive validation, Jaccard retraction guards, environment isolation, agent namespace containment), ensuring every mutation source — whether programmatic, LLM-driven, or agent-imported — passes through integrity enforcement.
OUT propagation-automatically-cascades-on-all-truth-changes
Truth propagation automatically cascades to all dependent nodes whenever any node's truth value changes, including nodes that appear only in outlists — making GATE belief re-evaluation fully automatic with no manual intervention required after outlist node retraction.
OUT query-degradation-is-deterministic-across-all-access-paths
All information access paths degrade gracefully while maintaining deterministic output: interactive queries cascade through tiered modes (LLM synthesis → bounded tool loop → raw FTS5 search), structured reads self-heal missing indexes via derived FTS5 reconstruction, and all fallback paths produce deterministic sorted output.
IN recompute-all-uses-fixpoint
`recompute_all` iterates until no truth values change, bounded by `len(nodes) + 1` iterations, handling cascading dependencies from arbitrary node ordering.
OUT revision-invariants-span-all-origins
Both revision paths (reactive contradiction resolution and proactive dialectical challenge) preserve system invariants across all belief origins — human, LLM, and agent — because invariant preservation flows from shared minimal foundations and all origins share the same deterministic revision engine.
OUT revision-spans-lifecycle-and-all-sources
The revision system is safe across two orthogonal dimensions: node lifecycle (backtracking skips retracted nodes, propagation respects lifecycle states, challenge preserves semantics through irreversible transformation) and modification source (dialectical, LLM, multi-agent) — ensuring no revision path is unsafe regardless of the node's lifecycle state or the belief's origin.
IN rich-governance-spans-all-backends
The system's exception-safe rich lifecycle governance — deterministic, lifecycle-complete, and spanning revision through source integrity — operates identically across all storage backends, achieving full behavioral parity between SQLite and PostgreSQL for metadata-enabled lifecycle management.
IN safety-is-enforced-across-all-layers-and-backends
Safety is enforced uniformly across both the architectural dimension (clean layer boundaries with atomic isolated mutations) and the storage dimension (equivalent guarantees through backend-appropriate mechanisms in SQLite and PostgreSQL) — no safety property depends on a specific backend or architectural layer.
OUT self-correction-is-complete-across-all-quality-dimensions
Self-correction simultaneously achieves all quality dimensions: concretely grounded in source integrity verification, fully documented with referenceable artifacts, convergent to accurate topology, tolerant of system evolution at all boundaries, and structurally and resource sustainable — no quality dimension is achieved at the expense of another.
IN staleness-gate-catches-all-drift
The staleness CI gate detects all forms of source material drift without false negatives.
IN sticky-retraction-survives-recompute-all
A node with `_retracted` metadata stays OUT even when `recompute_all()` re-evaluates the entire network — sticky retraction is a durable pin that only `assert_node` can clear
OUT system-reaches-equilibrium-from-all-modification-paths
The system converges to deterministic stable states through every modification path: import achieves ordered convergent reconciliation (add → propagate → retract sequencing with fixpoint convergence), retraction cascades terminate through BFS with stop-on-unchanged, and both addition and removal operations reach equilibrium — no modification can leave the system in a non-convergent state.
OUT system-resource-footprint-is-minimal-at-all-phases
The system achieves minimal resource footprint across all lifecycle phases: zero external dependencies at both packaging and implementation levels eliminate installation overhead and version conflicts, while lazy module imports in both API and CLI layers defer heavy computation until actually needed — minimizing deployment complexity, startup time, and memory consumption simultaneously.
OUT system-tolerates-evolution-at-all-boundaries
The system handles format and schema evolution gracefully at every external boundary: derive output parsers support two format versions with automatic fallback, belief import silently skips unknown metadata fields, and storage tolerates missing tables from older database schemas via exception handling
IN test-network-covers-all-propagation-paths
Test coverage claim, not a codebase invariant — what the test suite covers can change without affecting production behavior
IN tms-handles-all-conditions-safely
The TMS core handles both normal operation (crash-free truth propagation via BFS with stop-on-unchanged) and exceptional conditions (deterministic contradiction resolution via backtracking with least-entrenched selection) through shared propagation infrastructure — no reachable execution state leads to undefined behavior.
OUT total-invariant-preservation-encompasses-all-beliefs
Total invariant preservation — comprehensive in scope and architecturally grounded — fully encompasses externally-integrated beliefs that achieve integration parity along all quality axes, establishing that the system's invariant regime makes no distinction between internal and external beliefs at any level.
OUT verified-correctness-extends-to-all-backends
Verified production correctness — spanning all belief origins with deterministic state trajectories and full maintenance loop observability for indefinite independent verification — extends identically across both SQLite and PostgreSQL storage backends with no backend-specific safety gaps.
OUT verified-production-correctness-spans-all-origins
Verified production correctness extends universally across all belief origins: the complete architecture achieves verified correctness with deterministic state trajectories and lifecycle-complete monitoring, AND every state change for every belief — including externally-originated ones at full integration parity — follows a deterministic path with complete traceability.
OUT verified-revision-completeness-at-all-reference-boundaries
The deterministic lifecycle-complete architecture achieves verified uniform revision completeness — every belief case handled uniformly within predictable monitored state trajectories AND every node ID reference crossing a system boundary validated against the actual network — eliminating the possibility of revision operations acting on phantom references.