Integrity report for Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.25920 · pith:2026:DHRHT4CRBYUSF5R6KAIFJ6HKMP

0Critical

0Advisory

6Detectors run

2026-05-31Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-31 09:26:41.256272+00:00

external_links completed v1.0.0 · findings 0 · 2026-05-26 23:31:52.819341+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-26 17:49:57.326616+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 07:50:15.502234+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 05:23:24.485921+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 02:34:04.169294+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/DHRHT4CRBYUSF5R6KAIFJ6HKMP/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.