{"as_of":"2026-08-08T00:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cfe8726cbe06100701b3671a1fb6fb31058b406fe9b54ddbb1e2631033fa5bd7","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:21:56.263912Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-20T19:45:36.483341Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.13499","last_updated":"2024-02-21T03:21:29Z","snapshot_observed_at":"2026-07-06T17:33:13.106468Z","submitted_at":"2024-02-21T03:21:29Z","title":"Benchmarking and Dissecting the Nvidia Hopper GPU Architecture","version":1},"cited_work":{"arxiv_id":"2402.13499","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.13499","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Benchmarking and Dissecting the Nvidia Hopper GPU Architecture","venue":null,"work_id":"7bf626ef-9a7b-4175-9d42-528cfee5fe9d","year":2024},"citing_paper":{"arxiv_id":"2407.08608","last_updated":"2024-07-12T22:15:02Z","snapshot_observed_at":"2026-07-06T18:44:53.587276Z","submitted_at":"2024-07-11T15:44:48Z","title":"FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-20T19:45:36.337956Z"},"links":{"cited_paper":"/paper/2402.13499","citing_paper":"/paper/2407.08608"},"observation_digest":"sha256:e7cec8fe876cf8f870e178f7195cb7cbf4848f1dd3b08b3deb49fbe06ef7c39f","observation_id":"5a9d68c8-e368-4009-814b-395c74a988e7","resolution":{"observed_at":"2026-05-20T19:45:36.485256Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13499","last_updated":"2024-02-21T03:21:29Z","snapshot_observed_at":"2026-07-06T17:33:13.106468Z","submitted_at":"2024-02-21T03:21:29Z","title":"Benchmarking and Dissecting the Nvidia Hopper GPU Architecture","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13499","snapshot_observed_at":"2026-08-07T14:21:56.263912Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19349","last_updated":"2025-08-08T10:00:47Z","snapshot_observed_at":"2026-08-07T14:13:50.660421Z","submitted_at":"2025-05-25T22:32:35Z","title":"DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:21:56.263912Z"},"links":{"cited_paper":"/paper/2402.13499","citing_paper":"/paper/2505.19349"},"observation_digest":"sha256:3c433f92657fe601a3176d46fa06e5960391416a1786b4136211fcb3907c2983","observation_id":"0ae02f5b-1f98-41cb-a991-bf2123def3f3","resolution":{"observed_at":"2026-08-07T14:21:56.263912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13499","last_updated":"2024-02-21T03:21:29Z","snapshot_observed_at":"2026-07-06T17:33:13.106468Z","submitted_at":"2024-02-21T03:21:29Z","title":"Benchmarking and Dissecting the Nvidia Hopper GPU Architecture","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13499","snapshot_observed_at":"2026-08-06T22:04:36.684526Z","title":"arXiv:2402.13499 [cs.AR] https://arxiv.org/abs/2402.13499 Nitin Malapally, Viacheslav Bolnykh, Estela Suarez, Paolo Carloni, Thomas Lippert, and Davide Mandelli","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.22818","last_updated":"2025-06-28T08:42:01Z","snapshot_observed_at":"2026-08-07T09:20:17.083959Z","submitted_at":"2025-06-28T08:42:01Z","title":"TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.684526Z"},"links":{"cited_paper":"/paper/2402.13499","citing_paper":"/paper/2506.22818"},"observation_digest":"sha256:f7f592195da4d09ff79af0074b818d89bc2d318c166b6f2dfbdd10f4e3c4817f","observation_id":"4b94aedc-74d3-4318-afc3-1ef6256e14b6","resolution":{"observed_at":"2026-08-06T22:04:36.684526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.13499/citation-record","integrity":"/paper/2402.13499/integrity","json":"/paper/2402.13499/citation-record.json","paper":"/paper/2402.13499"},"outbound":[],"paper":{"arxiv_id":"2402.13499","last_updated":"2024-02-21T03:21:29Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-07-06T17:33:13.106468Z","submitted_at":"2024-02-21T03:21:29Z","title":"Benchmarking and Dissecting the Nvidia Hopper GPU Architecture"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.13499."}