{"as_of":"2026-08-10T15:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e5a36e691be2de23bed3f6f1bf83cb50616204ae189bedec5fef0d1cda2591a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:31:08.557508Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T15:31:08.670827Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.05301","last_updated":"2024-10-02T19:15:05Z","snapshot_observed_at":"2026-08-05T23:43:28.573302Z","submitted_at":"2023-04-11T15:50:54Z","title":"TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning","version":3},"cited_work":{"arxiv_id":"2304.05301","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.05301","snapshot_observed_at":"2026-08-07T15:31:08.670827Z","title":"TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning","venue":"cs.DC","work_id":"9a0fc271-35fc-45f1-84df-03705dfb5e6b","year":2023},"citing_paper":{"arxiv_id":"2505.15020","last_updated":"2025-05-21T01:57:22Z","snapshot_observed_at":"2026-08-07T15:23:13.934927Z","submitted_at":"2025-05-21T01:57:22Z","title":"COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:08.557508Z"},"links":{"cited_paper":"/paper/2304.05301","citing_paper":"/paper/2505.15020"},"observation_digest":"sha256:290cab9466682dc24f08cf8aa416bcef8428f0995cc48dd3af37b92e30c4ba93","observation_id":"bd614a61-8923-462e-8ae2-99c6736ba5a3","resolution":{"observed_at":"2026-08-07T15:31:08.673988Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.05301/citation-record","integrity":"/paper/2304.05301/integrity","json":"/paper/2304.05301/citation-record.json","paper":"/paper/2304.05301"},"outbound":[],"paper":{"arxiv_id":"2304.05301","last_updated":"2024-10-02T19:15:05Z","latest_version":3,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-05T23:43:28.573302Z","submitted_at":"2023-04-11T15:50:54Z","title":"TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2304.05301."}