{"as_of":"2026-08-08T11:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37b9edd8ae97b9c25a940a5ea60877383ccd61adeec7e7c58349ffc830cee5e3","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":"2026-08-08T06:32:00.761636+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":"2026-08-05T17:55:06.872252Z","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":"2026-08-05T17:55:15.131238Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.20727","last_updated":"2025-06-01T00:33:25Z","snapshot_observed_at":"2026-08-07T17:40:54.883495Z","submitted_at":"2025-02-28T05:20:48Z","title":"SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models","version":4},"cited_work":{"arxiv_id":"2502.20727","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.20727","snapshot_observed_at":"2026-08-05T17:55:15.131238Z","title":"SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models","venue":"cs.DC","work_id":"305a4388-6626-4053-b8ef-431a4f7b393c","year":2025},"citing_paper":{"arxiv_id":"2508.15881","last_updated":"2025-08-25T02:24:20Z","snapshot_observed_at":"2026-08-05T17:55:04.790166Z","submitted_at":"2025-08-21T15:25:40Z","title":"TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T17:55:06.872252Z"},"links":{"cited_paper":"/paper/2502.20727","citing_paper":"/paper/2508.15881"},"observation_digest":"sha256:bda14a7b2e9953328aa4284cde0b77e94c68bb98b208759b9b8389590aa5a0ed","observation_id":"d9e895fb-9fb8-4df6-b298-9f9d347da560","resolution":{"observed_at":"2026-08-05T17:55:15.253571Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.20727/citation-record","integrity":"/paper/2502.20727/integrity","json":"/paper/2502.20727/citation-record.json","paper":"/paper/2502.20727"},"outbound":[],"paper":{"arxiv_id":"2502.20727","last_updated":"2025-06-01T00:33:25Z","latest_version":4,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-07T17:40:54.883495Z","submitted_at":"2025-02-28T05:20:48Z","title":"SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2502.20727."}