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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
4Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 21:42:14.305582+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 13:01:24.275566+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 12:53:10.096182+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/WECNXRCS/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.