{"as_of":"2026-07-19T22:05:00Z","canonical_paper_id":"2307.07649","canonical_url":"https://pith.science/paper/2307.07649/integrity","context_digest":"sha256:6b3e274724b71935a143032aa5935a6d123fc5f183e6522e83cb3c1f88bd6123","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/2307.07649","bundle_json":"/pith/IWSD4VGPEUBICL7T3UDSA3P3VD/bundle.json","citation_record":"/paper/2307.07649/citation-record","evidence":"/evidence","html":"/paper/2307.07649/integrity","integrity_json":"/paper/2307.07649/integrity.json","json":"/paper/2307.07649/integrity.json","legacy_integrity_json":"/pith/2307.07649/integrity.json","paper":"/paper/2307.07649","reference_changes":"/flags?citing=2307.07649"},"paper":{"arxiv_id":"2307.07649","latest_version":1,"primary_cat":"cs.LG","title":"DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training"},"pith_number":"pith:2023:IWSD4VGPEUBICL7T3UDSA3P3VD","pith_short":"IWSD4VGPEUBICL7T3UDSA3P3VD","record":{"arxiv_id":"2307.07649","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2307.07649. 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"}