v0.6.0 — against context hallucination
Fights the model building on its own earlier guesses, and misremembering values from long context.
Added
- Established-facts ledger: only results the tools grounded (VERIFIED with weight, or OBSERVED) are carried between rounds. The model's own unverified claims are never carried forward; it's told to build only on BINARY FACTS + ESTABLISHED.
- Two-stage loop: each round the model first OBSERVEs what it needs but doesn't know (the tools read it), then HYPOTHESIZEs new checkable claims — separating what to investigate from what is true.
168 tests, including that a refuted hallucination and its note never reach the next round. pip install -U reverify