{"as_of":"2026-07-15T06:37:00Z","canonical_paper_id":"IFELSAEJ","canonical_url":"https://pith.science/paper/IFELSAEJ/integrity","context_digest":"sha256:43142c4f14a7a08f54f4add23a8807d47569cfb2e89d060a0768fe9a80376018","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/2204.12916","bundle_json":"/pith/IFELSAEJY2CAOOPKGI7CQM7DSS/bundle.json","citation_record":"/paper/IFELSAEJ/citation-record","evidence":"/evidence","html":"/paper/IFELSAEJ/integrity","integrity_json":"/paper/IFELSAEJ/integrity.json","json":"/paper/IFELSAEJ/integrity.json","legacy_integrity_json":"/pith/IFELSAEJ/integrity.json","paper":"/paper/IFELSAEJ","reference_changes":"/flags?citing=IFELSAEJ"},"paper":{"arxiv_id":"2204.12916","latest_version":1,"primary_cat":"cs.SE","title":"GypSum: Learning Hybrid Representations for Code Summarization"},"pith_number":"pith:2022:IFELSAEJY2CAOOPKGI7CQM7DSS","pith_short":"IFELSAEJY2CAOOPKGI7CQM7DSS","record":{"arxiv_id":"2204.12916","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2204.12916. 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"}