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Integrity report for Self-Distilled Trajectory-Aware Boltzmann Modeling: Bridging the Training-Inference Discrepancy in Diffusion Language Models

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

arXiv:2605.11854 · pith:2026:NFR7D3TKF5FJXHBHE35KARRZL3

0Critical
0Advisory
6Detectors run
2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 01:31:33.876865+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 00:48:04.585139+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 03:22:00.420516+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 11:36:39.823964+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 09:01:18.338110+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 08:08:14.829608+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/NFR7D3TK/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.