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Integrity report for PiG-Avatar: Hierarchical Neural-Field-Guided Gaussian Avatars

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

arXiv:2605.20185 · pith:2026:DV7UFES4ZW3ARMBMCTE5OWWXGS

0Critical
0Advisory
11Detectors 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 06:31:38.028353+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 06:24:18.851068+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 06:22:22.521140+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-20 17:31:26.341335+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-20 05:49:44.415131+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 03:49:43.894016+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 03:01:21.326349+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 03:00:02.445415+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:24.540967+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 02:21:59.727246+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 02:21:59.681112+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/DV7UFES4/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.