Theoria: Rewrite-Acceptability Verification over Informal Reasoning States
When should an AI system's answer be trusted? Formal proof assistants offer certainty but cannot reach most of the problem distribution; scalar LLM judges offer coverage but produce opaque scores that cannot be audited after the fact and are subject to the same coherence issues as any LLM. We present Theoria, a verification architecture that closes this gap. A candidate solution is rewritten into a sequence of typed state transitions, each licensed by an explicit justification, whether that be a citation, computation, or problem-given fact, and every transition is independently auditable. The
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownRetrace-1.5B →
- LinkedLinked via unknownNorthwind AI →
- LinkedLinked via unknownSupporting Europe’s work in ensuring a trustworthy AI ecosystem →
- LinkedLinked via arxiv author · 85%Ben Slivinski →
“Theoria: Rewrite-Acceptability Verification over Informal Reasoning States”
- LinkedLinked via arxiv author · 85%Michael Saldivar →
“Theoria: Rewrite-Acceptability Verification over Informal Reasoning States”
- PossiblePossibly related (embedding) · 54%The biggest surprise while building an AI verification system wasn't the AI. →
- PossiblePossibly related (embedding) · 49%AI Used to Verify Toughest Mathematics Proof Yet →
