{"as_of":"2026-08-09T22:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c0cf6197562e468154bc18325f32114dad5573003716744b90931c5cbbe5d937","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T15:20:16.179750Z","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":"2026-07-02T21:17:24.582185Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.16682","last_updated":"2024-10-22T04:27:03Z","snapshot_observed_at":"2026-08-07T04:01:58.724576Z","submitted_at":"2024-10-22T04:27:03Z","title":"Methods of improving LLM training stability","version":1},"cited_work":{"arxiv_id":"2410.16682","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.16682","snapshot_observed_at":"2026-07-02T21:17:24.582185Z","title":"Methods of improving llm training stability.arXiv preprint arXiv:2410.16682","venue":null,"work_id":"6a681be8-dfbc-4350-a4d0-056b08871320","year":2024},"citing_paper":{"arxiv_id":"2510.04212","last_updated":"2026-04-18T01:36:25Z","snapshot_observed_at":"2026-08-05T11:27:54.389799Z","submitted_at":"2025-10-05T14:01:24Z","title":"Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-18T10:01:56.131253Z"},"links":{"cited_paper":"/paper/2410.16682","citing_paper":"/paper/2510.04212"},"observation_digest":"sha256:2c5c713411c51764d5358b3b55ba5df7a9d31d0d236d5d3a26465fa346f7646c","observation_id":"22a56c48-f98b-43e8-84e5-c06205cf2fcc","resolution":{"observed_at":"2026-05-18T10:02:31.742547Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16682","last_updated":"2024-10-22T04:27:03Z","snapshot_observed_at":"2026-08-07T04:01:58.724576Z","submitted_at":"2024-10-22T04:27:03Z","title":"Methods of improving LLM training stability","version":1},"cited_work":{"arxiv_id":"2410.16682","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.16682","snapshot_observed_at":"2026-07-02T21:17:24.582185Z","title":"Methods of improving llm training stability.arXiv preprint arXiv:2410.16682","venue":null,"work_id":"6a681be8-dfbc-4350-a4d0-056b08871320","year":2024},"citing_paper":{"arxiv_id":"2605.12492","last_updated":"2026-05-12T17:59:34Z","snapshot_observed_at":"2026-07-31T18:31:37.222688Z","submitted_at":"2026-05-12T17:59:34Z","title":"Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-13T04:53:52.898843Z"},"links":{"cited_paper":"/paper/2410.16682","citing_paper":"/paper/2605.12492"},"observation_digest":"sha256:680db8fb17946dcc56bbcee3d2246ca5d467a05566bb064a7849be5cace7fdf2","observation_id":"83c5fc16-e18d-401a-a41a-39e56c78d11d","resolution":{"observed_at":"2026-05-13T04:57:17.704650Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16682","last_updated":"2024-10-22T04:27:03Z","snapshot_observed_at":"2026-08-07T04:01:58.724576Z","submitted_at":"2024-10-22T04:27:03Z","title":"Methods of improving LLM training stability","version":1},"cited_work":{"arxiv_id":"2410.16682","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.16682","snapshot_observed_at":"2026-07-02T21:17:24.582185Z","title":"Methods of improving llm training stability.arXiv preprint arXiv:2410.16682","venue":null,"work_id":"6a681be8-dfbc-4350-a4d0-056b08871320","year":2024},"citing_paper":{"arxiv_id":"2606.08105","last_updated":"2026-06-06T11:10:54Z","snapshot_observed_at":"2026-08-06T19:43:58.625241Z","submitted_at":"2026-06-06T11:10:54Z","title":"A Unifying View of Attention Sinks: Two Algorithms, Two Solutions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T19:51:41.329591Z"},"links":{"cited_paper":"/paper/2410.16682","citing_paper":"/paper/2606.08105"},"observation_digest":"sha256:e10a0a0cb15b6ae1ded9fec14f590a552b911b3583544b8ea237d8e62b68f4ce","observation_id":"62d5ba52-2128-46da-97af-33982eb43482","resolution":{"observed_at":"2026-07-02T21:17:24.584165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16682","last_updated":"2024-10-22T04:27:03Z","snapshot_observed_at":"2026-08-07T04:01:58.724576Z","submitted_at":"2024-10-22T04:27:03Z","title":"Methods of improving LLM training stability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16682","snapshot_observed_at":"2026-08-04T15:20:16.179750Z","title":"Methods of improving LLM training stability.arXiv preprint arXiv:2410.16682, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02091","last_updated":"2026-08-03T11:50:06Z","snapshot_observed_at":"2026-08-08T01:20:23.329247Z","submitted_at":"2026-08-03T11:50:06Z","title":"One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T15:20:16.179750Z"},"links":{"cited_paper":"/paper/2410.16682","citing_paper":"/paper/2608.02091"},"observation_digest":"sha256:cc7a1e7a2ad29a97b9bbe7987dae1a259bfc57948aefeef4c50d6f85125615c9","observation_id":"861b0bfd-6273-43ef-a7b8-e17639c40829","resolution":{"observed_at":"2026-08-04T15:20:16.179750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.16682/citation-record","integrity":"/paper/2410.16682/integrity","json":"/paper/2410.16682/citation-record.json","paper":"/paper/2410.16682"},"outbound":[],"paper":{"arxiv_id":"2410.16682","last_updated":"2024-10-22T04:27:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T04:01:58.724576Z","submitted_at":"2024-10-22T04:27:03Z","title":"Methods of improving LLM training stability"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.16682."}