{"as_of":"2026-07-19T03:41:00Z","canonical_paper_id":"2212.08320","canonical_url":"https://pith.science/paper/2212.08320/integrity","context_digest":"sha256:05c772515b55ef9a42bf395eea31377693597f5ab1f258a20a8c1090b3256721","coverage_summary":[],"findings":[],"findings_empty_copy":"No checks are listed for this paper yet.","findings_observation_state":"no_listed_checks","links":{"arxiv":"https://arxiv.org/abs/2212.08320","bundle_json":"/pith/R7M3AYWUODLLKRRGRCU3DS74I2/bundle.json","citation_record":"/paper/2212.08320/citation-record","evidence":"/evidence","html":"/paper/2212.08320/integrity","integrity_json":"/paper/2212.08320/integrity.json","json":"/paper/2212.08320/integrity.json","legacy_integrity_json":"/pith/2212.08320/integrity.json","paper":"/paper/2212.08320","reference_changes":"/flags?citing=2212.08320"},"paper":{"arxiv_id":"2212.08320","latest_version":2,"primary_cat":"cs.CV","title":"Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?"},"pith_number":"pith:2022:R7M3AYWUODLLKRRGRCU3DS74I2","pith_short":"R7M3AYWUODLLKRRGRCU3DS74I2","record":{"arxiv_id":"2212.08320","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2212.08320. No listed check completed, so this record makes no findings claim.","counts":{"completed":0,"failed":0,"listed":0,"not_collected":0,"not_requested":0,"partial":0,"public_findings_from_completed":0,"skipped":0,"unavailable":0,"withheld":0},"coverage":[],"observed_at":null,"refusal":"This is a record of named checks, not a clean-status claim or a paper verdict.","schema":"pith.integrity.v1"},"schema":"pith.paper-integrity-record.v1","species":"LEDGER"}