lifecycle-management-is-gapless
IN derived (depth 3)
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.
Summary
Every operation in the system — whether it's checking for stale data, propagating changes, reading, or writing — consistently respects and preserves the lifecycle state of each node. Nothing slips through the cracks: staleness detection catches all forms of source drift, and no operation accidentally ignores or corrupts whether a node is active or retracted. This means the system's picture of what's current and what's been withdrawn stays accurate and complete at all times.
Justifications
SL — drift detection + lifecycle-aware propagation = complete lifecycle management (depth-3 GATE from two depth-2)
Antecedents (all must be IN):
- staleness-gate-catches-all-drift — The staleness CI gate detects all forms of source material drift without false negatives.
- 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.
Unless (any of these IN defeats this justification):
- missing-source-file-is-silent — If a node's source file no longer exists on disk, `check_stale` silently skips it; callers cannot distinguish "file deleted" from "file never tracked."
- hash-truncation-is-16-hex — Source hashes are SHA-256 truncated to the first 16 hex characters (64 bits), reducing collision resistance to ~32 bits for birthday attacks compared to the full 256-bit hash.
Dependents
These beliefs depend on this one:
- 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.
- deterministic-reasoning-with-gapless-lifecycle — The system's belief-state trajectory is both fully determined and fully monitored: deterministic reversible reasoning ensures any given set of premises produces exactly one truth-value assignment, while gapless lifecycle management ensures no belief escapes monitoring across any lifecycle phase — the state at any point is predictable from its inputs and verifiable through its monitoring infrastructure.
- 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.
- 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.
- 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.
- 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.