derive-pipeline-has-complete-coverage
OUT derived (depth 3)
The derive pipeline achieves complete coverage along three axes: safety (fail-soft validation, Jaccard retraction guards, environment isolation), completeness (exhaustive exploration with guaranteed termination), and production-readiness (accurate proportional budgets, roundtrippable prompt format).
Summary
This is a composite claim that the derive pipeline — the system that uses an LLM to generate new beliefs from existing ones — is fully mature across three dimensions: it won't corrupt existing data, it will find everything worth finding, and it handles real-world operational details like budget allocation and prompt formatting correctly. It's currently marked OUT, meaning at least one of those sub-claims isn't holding up, so the pipeline can't yet be considered comprehensively ready.
Justifications
SL — Two independently-established depth-2 properties (safety+completeness and production-readiness) unify into full pipeline coverage — connecting the previously-orphaned derive-pipeline-is-safe-and-complete
Antecedents (all must be IN):
- derive-pipeline-is-safe-and-complete — The derive pipeline simultaneously provides safety (fail-soft validation, Jaccard retraction guards, environment isolation) and completeness (exhaustive exploration with guaranteed cycle-free termination), ensuring LLM-driven belief generation discovers all derivable conclusions without corruption risk.
- derive-pipeline-is-production-ready — The derive pipeline correctly allocates budgets, validates proposals defensively, and produces well-formed beliefs through a round-trippable prompt contract.
Dependents
These beliefs depend on this one:
- 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.
- llm-belief-pipeline-is-fully-quality-enforced — The system's complete LLM-driven belief pipeline — both generation (derive with safety, completeness, and coverage) and classification (list_negative with defensive bounding) — achieves fully code-enforced quality constraints at every stage, provided minimum-antecedent validation moves from prompt-only to code-enforced.