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Integrity report for AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment

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

arXiv:2605.17517 · pith:2026:WECNXRCSCN5SQK5VME7R6POSDY

0Critical
0Advisory
5Detectors run
2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 23:03:15.211751+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 13:49:35.079826+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 13:02:14.390825+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 10:23:20.289663+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 21:33:23.626914+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/WECNXRCSCN5SQK5VME7R6POSDY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.