pith:AOCFJRKN
Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations
A runtime verifier builds a dependency graph from eight formal update operations to keep LLM continuations grounded on active premises.
arxiv:2605.14175 v1 · 2026-05-13 · cs.AI
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\usepackage{pith}
\pithnumber{AOCFJRKNWFOQWHTC3BMWC774CO}
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Record completeness
Claims
On LongMemEval-KU the verifier reaches 89.7% accuracy with linear per-turn cost and a formal conflict-free guarantee; on the 15-item stale-premise subset it reaches 100% accuracy.
The LLM can be prompted to classify each conversation turn into one of the eight update operations drawn from dynamic epistemic logic, abductive reasoning, awareness logic, and argumentation with sufficient faithfulness for the dependency graph to remain accurate.
A hybrid LLM-symbolic verifier maintains a dependency graph over conversation turns classified into eight formal update operations, enabling linear-time groundedness checks and precise retraction propagation with a conflict-free guarantee.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:11.308891Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
038454c54db15d0b1e62d859617ffc13883d789f8be2b9417efe96e2136eaba5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AOCFJRKNWFOQWHTC3BMWC774CO \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 038454c54db15d0b1e62d859617ffc13883d789f8be2b9417efe96e2136eaba5
Canonical record JSON
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