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Integrity report for Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning

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

arXiv:2606.04434 · pith:2026:DWIK5Z6RM77346I5PMXSHOUYWB

0Critical
0Advisory
4Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 04:09:14.779651+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 19:51:09.238259+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 13:27:26.112496+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 02:35:37.545131+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/DWIK5Z6RM77346I5PMXSHOUYWB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.