{"as_of":"2026-07-14T10:17:00Z","canonical_paper_id":"R7CCYAVM","canonical_url":"https://pith.science/paper/R7CCYAVM/integrity","context_digest":"sha256:119336cac3c5bd846b949ba1d958727b5b0a385293ca583d22e11fa5da61f296","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/2606.19163","bundle_json":"/pith/R7CCYAVMOJXJVHAQPKVLAK3WBL/bundle.json","citation_record":"/paper/R7CCYAVM/citation-record","evidence":"/evidence","html":"/paper/R7CCYAVM/integrity","integrity_json":"/paper/R7CCYAVM/integrity.json","json":"/paper/R7CCYAVM/integrity.json","legacy_integrity_json":"/pith/R7CCYAVM/integrity.json","paper":"/paper/R7CCYAVM","reference_changes":"/flags?citing=R7CCYAVM"},"paper":{"arxiv_id":"2606.19163","latest_version":1,"primary_cat":"cs.DC","title":"Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism"},"pith_number":"pith:2026:R7CCYAVMOJXJVHAQPKVLAK3WBL","pith_short":"R7CCYAVMOJXJVHAQPKVLAK3WBL","record":{"arxiv_id":"2606.19163","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2606.19163. 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"}