Integrity report for WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points

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

arXiv:2605.17471 · pith:2026:CSWEHIKURWZBJ3RNXZXGBXMI46

0Critical

0Advisory

4Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 21:42:35.854223+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 15:11:43.838907+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 15:01:41.976875+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 21:33:23.654040+00:00

Findings

No public integrity findings for this paper.

Signed record

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