research-pipeline

Reproducibility in multi-source research is achieved by generating source-grounded documents with content-addressed snapshots and a provenance manifest. This allows others to re-check findings later by fetching the exact evidence rather than relying on bare URLs or single-session memory.

Adversarial verification is a mandatory refutation pass that classifies load-bearing claims as survived, weakened, or refuted before canonization. This ensures only vetted claims are added to your final research artifact.

You cite sources using content-addressed snapshots instead of bare URLs. A provenance manifest records the verbatim source of record, explicitly avoiding paraphrase-style fetch methods to maintain evidence integrity.

Yes, you can automate verification gates using stop-hook enforcement. This runs deterministic checks automatically at session end, ensuring omissions do not slip through and maintaining reproducibility checks.

No, deterministic verification gates run first without an LLM-judge. An LLM-judge is only applied to the small remainder of claims when deterministic checks are insufficient.

You need content-addressed snapshots for technology evaluations when others must be able to re-check findings later. This process canonizes claims with verifiable fetch-contract requirements and provenance manifests.