{"as_of":"2026-08-12T05:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c9be6c0c944c6d04b997fcbe4867470c0124e0132ea0b230d2623bfba3687220","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":"2026-08-11T06:34:44.6726+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":"2026-08-06T20:29:53.879224Z","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":"2026-05-12T08:06:37.016420Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.17381","last_updated":"2024-06-20T09:12:42Z","snapshot_observed_at":"2026-08-11T05:46:55.034314Z","submitted_at":"2024-05-27T17:38:13Z","title":"Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17381","snapshot_observed_at":"2026-08-06T20:29:53.879224Z","title":"Various lengths, constant speed: Efficient language modeling with lightning attention","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02591","last_updated":"2025-07-23T07:25:27Z","snapshot_observed_at":"2026-08-09T23:16:14.999128Z","submitted_at":"2025-07-03T12:55:16Z","title":"AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T20:29:53.879224Z"},"links":{"cited_paper":"/paper/2405.17381","citing_paper":"/paper/2507.02591"},"observation_digest":"sha256:ea918247c89631bee0a9d1b7becead98af114bf2b55586674c893b5f071d7d9a","observation_id":"91df7b2a-5fb5-4c48-a2a8-6008dc862506","resolution":{"observed_at":"2026-08-06T20:29:53.879224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17381","last_updated":"2024-06-20T09:12:42Z","snapshot_observed_at":"2026-08-11T05:46:55.034314Z","submitted_at":"2024-05-27T17:38:13Z","title":"Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17381","snapshot_observed_at":"2026-08-04T14:43:02.167963Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.23722","last_updated":"2026-07-03T02:44:15Z","snapshot_observed_at":"2026-08-04T14:42:54.705316Z","submitted_at":"2025-09-28T08:05:13Z","title":"OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T14:43:02.167963Z"},"links":{"cited_paper":"/paper/2405.17381","citing_paper":"/paper/2509.23722"},"observation_digest":"sha256:a750875d99dd933a6d17d83689e6e9a678ec6f92448c8d74fd45858054fada21","observation_id":"6bbe735e-fbe3-4c17-adf3-753bde6370ae","resolution":{"observed_at":"2026-08-04T14:43:02.167963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17381","last_updated":"2024-06-20T09:12:42Z","snapshot_observed_at":"2026-08-11T05:46:55.034314Z","submitted_at":"2024-05-27T17:38:13Z","title":"Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention","version":2},"cited_work":{"arxiv_id":"2405.17381","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17381","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Various lengths, constant speed: Efficient language modeling with lightning attention","venue":null,"work_id":"482af9d7-61e8-4d40-b8c7-3ccd1a1fa907","year":2024},"citing_paper":{"arxiv_id":"2605.08587","last_updated":"2026-05-09T01:07:01Z","snapshot_observed_at":"2026-07-06T23:20:47.880233Z","submitted_at":"2026-05-09T01:07:01Z","title":"Kaczmarz Linear Attention","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T01:15:58.330766Z"},"links":{"cited_paper":"/paper/2405.17381","citing_paper":"/paper/2605.08587"},"observation_digest":"sha256:57b80109fec67fafc1069e0e738fa35c445612de7587265cff241a2ca16316e0","observation_id":"412a319a-d6de-4805-a392-d3db5e0ab7f9","resolution":{"observed_at":"2026-05-12T08:06:37.076986Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.17381/citation-record","integrity":"/paper/2405.17381/integrity","json":"/paper/2405.17381/citation-record.json","paper":"/paper/2405.17381"},"outbound":[],"paper":{"arxiv_id":"2405.17381","last_updated":"2024-06-20T09:12:42Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-11T05:46:55.034314Z","submitted_at":"2024-05-27T17:38:13Z","title":"Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.17381."}