lifecycle

28 beliefs (18 IN, 10 OUT)

• IN architecture-sustains-gapless-lifecycle
  Architectural safety (clean layer boundaries with atomic isolated mutations) sustains gapless lifecycle management (staleness detection plus propagation lifecycle awareness) — beliefs are correctly managed at every point in their lifecycle, backed by structural guarantees that lifecycle operations execute atomically and without cross-layer leakage.
• IN automated-sync-achieves-full-lifecycle-coverage
  Automated repeated sync safely reconciles external beliefs with complete lifecycle coverage including full source staleness detection — idempotent cascade-preserving sync combined with conservative staleness gating ensures no lifecycle gap between sync runs.
• IN contradiction-resolution-is-lifecycle-safe
  When contradictions are detected, the entire resolution pipeline respects node lifecycle: backtracking identifies the least-entrenched culprit premise deterministically, retraction cascades through BFS propagation that skips retracted nodes and stops on unchanged truth values, ensuring resolution terminates without disturbing lifecycle-inert nodes.
• IN defeat-reversals-are-lifecycle-governed
  All outlist-based defeat reversals (challenge, kill-switch, supersession) operate within metadata-enabled lifecycle governance — every reversal produces not just a truth-value change but a fully governed lifecycle transition with metadata-tracked state (retraction flags, stale reasons, access tags), ensuring reversals are first-class lifecycle events rather than bare truth flips.
• IN exception-safety-spans-tms-and-source-lifecycle
  The system handles failures safely across both domains: the TMS core resolves exceptional conditions (contradictions via backtracking, challenges via deterministic propagation) while the source integrity pipeline handles its failure modes (missing files, changed content, deleted sources) — no exception in either domain can produce inconsistent or undefined state.
• OUT external-beliefs-are-defended-and-lifecycle-managed
  External beliefs are managed end-to-end across a complete trust boundary: defensively contained at ingestion through layered validation pipelines and namespace isolation, then actively lifecycle-managed through dual reconciliation modes, staleness detection against source material, and CI gating — no phase of external belief existence lacks oversight.
• OUT external-lifecycle-achieves-topology-accurate-quality
  External beliefs receive quality-complete self-correction that operates on accurate convergent topology — every correction to an externally-originated belief propagates through verified dependency structure with complete fidelity, ensuring external belief quality is maintained with the same topological accuracy as internal beliefs.
• IN external-lifecycle-operates-within-rich-governance
  External beliefs achieve complete automated lifecycle management within a metadata-enabled source-grounded governance framework — creation, reconciliation, staleness detection, and ongoing maintenance all operate under rich governance extending beyond binary truth values to structured lifecycle state.
• OUT integrity-enforced-across-architecture-and-lifecycle
  Integrity is enforced along two orthogonal dimensions: vertically across architectural layers (clean data-model/TMS/persistence boundaries with snapshot persistence and CI gating) and horizontally across node lifecycle states (staleness checking skips OUT nodes without mutating, propagation skips retracted nodes while preserving them for restoration).
• IN lifecycle-awareness-spans-checking-and-propagation
  Both read-only inspection and mutation-driven propagation respect node lifecycle consistently: staleness checking skips OUT nodes and never mutates state, while propagation skips retracted nodes and preserves trigger identity — lifecycle state is honored across the system regardless of whether the operation is read or write.
• IN lifecycle-governance-achieves-gap-free-source-coverage
  Metadata-enabled lifecycle governance with deterministic source integrity and exception-safe recoverability achieves truly gap-free source coverage — every source file is verified, every lifecycle decision is grounded in verifiable source state, and no silent source gap undermines governance decisions about staleness or retraction.
• IN lifecycle-governance-is-exception-safe-and-source-grounded
  Metadata-enabled source-grounded lifecycle governance is backed by exception-safe recoverable revision mechanics — lifecycle decisions about staleness and source integrity are protected by the same exception handling that safeguards contradiction resolution and dialectical transformation.
• IN lifecycle-governance-is-metadata-enabled-and-source-grounded
  Rich lifecycle governance — extending beyond binary IN/OUT truth through extensible metadata carrying retraction flags, stale reasons, access tags, and challenges — is concretely grounded in fail-safe source integrity: the source pipeline (convention-based resolution, collision-resistant SHA-256 hashing, comprehensive staleness detection) populates and verifies the metadata state that enables lifecycle governance, closing the loop between abstract lifecycle management and concrete source verification.
• IN lifecycle-management-is-gapless
  The system manages belief lifecycle without gaps across all operation types: staleness checking detects all forms of source drift, propagation respects node lifecycle states, and both read and write paths enforce consistent lifecycle semantics — no operation ignores or corrupts lifecycle state.
• OUT lifecycle-operates-on-unfragile-architecture
  Gapless lifecycle management — spanning staleness detection, propagation lifecycle awareness, and import reconciliation — operates on an architecture verified to have no hidden fragility points, ensuring lifecycle operations cannot be undermined by latent structural weaknesses in the central dependency or layer boundaries.
• IN metadata-enables-lifecycle-governance-beyond-binary-truth
  Node metadata enables lifecycle governance capabilities that transcend the binary IN/OUT truth model: extensible metadata provides structured lifecycle state (retraction flags, stale reasons, access tags, supersession markers) that actively governs both read and write paths, while staleness information is preserved and surfaced in compact output despite having no dedicated truth state in the TMS data model.
• IN metadata-governs-lifecycle-across-read-and-write-paths
  Node lifecycle state carried in metadata actively governs both mutation behavior (retracted nodes skipped during truth propagation, sticky retraction surviving recompute) and inspection behavior (staleness checking skips OUT nodes, compact surfaces stale reasons) — a single metadata mechanism controls the system's complete operational surface.
• IN metadata-provides-extensible-lifecycle-governance
  Node metadata is simultaneously the universal extension mechanism for network state (carrying all structured lifecycle properties with consistent audit tracking) and the active governor of truth propagation behavior across both read and write paths — retracted and stale nodes are skipped in propagation and staleness checking respectively, driven by the same metadata fields.
• IN migrated-retraction-revision-is-lifecycle-safe-and-semantics-preserving-j0
  Invalid: cross-applies properties between mechanisms without support (defeats revision-is-lifecycle-safe-and-semantics-preserving justification 0)
• IN propagation-respects-node-lifecycle
  Truth propagation respects node lifecycle states: retracted nodes are skipped during BFS traversal, and the trigger node itself is never recomputed — callers must set its truth value before invoking propagation.
• OUT quality-lifecycle-is-fault-tolerant-and-resource-efficient
  The complete LLM-driven quality lifecycle — creation via derive, classification via list-negative, review, and self-correction — is simultaneously resource-efficient (accurate budgets, linear allocation, minimal footprint) and fault-tolerant at every phase (graceful degradation on LLM failures, batch fault isolation, deterministic fallbacks).
• OUT resource-sustainable-lifecycle-has-no-gaps
  Gapless lifecycle management is resource-sustainable: accurate bidirectional token budgets support both new belief derivation and existing belief staleness detection, ensuring no lifecycle gap arises from resource exhaustion.
• OUT review-completes-llm-quality-lifecycle
  The LLM-driven belief quality lifecycle is complete across all phases: creation via derive (safe, complete, efficient), classification via list-negative (bounded, batch-scalable), and quality evaluation via review (scoped to derived beliefs, mutation-safe, fault-tolerant) — covering belief genesis, categorization, and ongoing quality assessment with no unmonitored phase.
• OUT review-driven-quality-lifecycle-is-fully-code-enforced
  The complete LLM-driven quality lifecycle — creation via derive with structural validation and retraction guards, classification via list-negative with defensive bounding, and evaluation via review with scoped mutation safety — achieves full code enforcement of all quality constraints, but only when the derive pipeline's minimum antecedent requirement is enforced in code rather than prompt-only.
• OUT revision-and-lifecycle-form-closed-loop
  The system forms a closed maintenance loop with no escape path for unmanaged beliefs: revision safety covers all belief origins regardless of provenance (internal creation and external ingestion), while gapless lifecycle management tracks every belief from creation through staleness — together ensuring that every belief in the network is both revisable and monitored throughout its existence.
• OUT revision-is-lifecycle-safe-and-semantics-preserving
  Both revision entry points — reactive contradiction resolution (backtracking to least-entrenched premise, skipping retracted nodes) and proactive dialectical challenge (outlist injection preserving evaluation semantics) — respect node lifecycle and preserve semantic consistency despite operating through different mechanisms.
• IN source-integrity-unifies-determinism-exception-safety-and-lifecycle
  The source integrity pipeline achieves triple assurance from two independent chains: the source-to-TMS path is deterministic (convention-based resolution, collision-resistant SHA-256) and exception-safe (fail-safe across both TMS and source lifecycle domains), while lifecycle governance uses that same deterministic source integrity to drive staleness decisions and belief currency management — source integrity simultaneously serves pipeline correctness, failure recovery, and lifecycle governance.
• IN source-lifecycle-is-fail-safe-and-gapless
  The end-to-end fail-safe source integrity pipeline — from convention-based path resolution through collision-resistant SHA-256 hashing to comprehensive drift detection — feeds directly into gapless lifecycle management, ensuring every source material change on disk is detected, surfaced, and managed through the full belief lifecycle without gaps.