{"as_of":"2026-08-13T17:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d6a89475151d281cb090fde662d8826f2b9973e39b81e3d0f80f0c0ef086b967","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T12:48:54.593970Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.19358/citation-record","integrity":"/paper/2607.19358/integrity","json":"/paper/2607.19358/citation-record.json","paper":"/paper/2607.19358"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:46.318755Z","title":"Transformers are","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:46.318755Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:db39bae834717a02588165c512309f9bd203768a148337745fc88156717a42f6","observation_id":"db905e45-31c3-4be7-8a7e-dbbd9eba7b90","resolution":{"observed_at":"2026-08-02T12:48:46.318755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:46.494746Z","title":"arXiv preprint , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:46.494746Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:1a8be1f0adf2173295e61c373a5acb14d89891392f77d3982385cb8eb261d280","observation_id":"3d408ba4-05a7-4ef6-a855-844dcfddf2d4","resolution":{"observed_at":"2026-08-02T12:48:46.494746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:46.634190Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:46.634190Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:9faef99312da444f2c342db91e72c47bcc59b14a977bb841bcadc741cd92c6e5","observation_id":"2c0617bf-0bde-47d6-9c18-8aa4dfd91970","resolution":{"observed_at":"2026-08-02T12:48:46.634190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:46.819497Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:46.819497Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:a96bca42eed99170e113464fcc1bfd1515828ef0d69931de756c5300497d4818","observation_id":"160f0505-ac0a-491e-adcc-22b7824cc166","resolution":{"observed_at":"2026-08-02T12:48:46.819497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:46.988920Z","title":"Finetuning pretrained transformers into","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:46.988920Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:46a2478bd19a25224a61cf6e91a52ba2b7d6dc83207ea6b8e8f89181e8f2cab6","observation_id":"37bffd05-4dde-40a0-b8b6-9fb212837dbf","resolution":{"observed_at":"2026-08-02T12:48:46.988920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:47.232003Z","title":"Proceedings of ICLR , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:47.232003Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:759fee1004687d43e7767819cbef2ae0399c73b0ed73f595e3fe68bbaf689572","observation_id":"25222699-7d78-4240-8166-b5fb316f3048","resolution":{"observed_at":"2026-08-02T12:48:47.232003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08621","last_updated":"2023-08-09T08:53:08Z","snapshot_observed_at":"2026-08-02T13:21:32.251959Z","submitted_at":"2023-07-17T16:40:01Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.08621","snapshot_observed_at":"2026-08-02T12:48:47.413037Z","title":"arXiv:2307.08621 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:47.413037Z"},"links":{"cited_paper":"/paper/2307.08621","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:d0e2eeb0f5694628831a2aeaa4398b1dc952a5ff2f200ba3d6db85a62ddd7211","observation_id":"9a4f979c-7d07-412d-abb7-db449061f560","resolution":{"observed_at":"2026-08-02T12:48:47.413037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:47.594816Z","title":"Proceedings of ICML , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:47.594816Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:be5a0e102484a3b10b70ec0daf9fe40c4574688b66923d46bc6c75d7eb772c43","observation_id":"279630b5-806b-40f9-9858-fc24e8d2c8cb","resolution":{"observed_at":"2026-08-02T12:48:47.594816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:47.694829Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:47.694829Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:df9fbfa5f5643a7fe1998b4fdfc00dc13ffe3d8ecdef4ca45122267a172396ec","observation_id":"6d33dc4e-b8bc-4fe6-9a99-818e250d62b0","resolution":{"observed_at":"2026-08-02T12:48:47.694829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:47.834740Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:47.834740Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:37e5871f63d02a9f890b8726ac3e721aba7720409dffa8818561c92423351073","observation_id":"60a88cc1-a533-47a0-a0c4-775bbd565ff9","resolution":{"observed_at":"2026-08-02T12:48:47.834740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:47.984738Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:47.984738Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:7c7c73bd40a766f59ae5ab55a914a981f0961bfe5220f3fe62e67bf8b4e68152","observation_id":"f1c4ac88-a33c-4738-b79d-a9aa5da8262c","resolution":{"observed_at":"2026-08-02T12:48:47.984738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-13T15:58:13.809876Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-02T12:48:48.074738Z","title":"arXiv:2501.12948 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.074738Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:e4227b4ffcb04d0df011c69f720f035c6526ea34401374f56992c8f21368dbad","observation_id":"17c2534d-2a0d-4d4f-a57e-de83b2e00ccc","resolution":{"observed_at":"2026-08-02T12:48:48.074738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:48.147403Z","title":"arXiv:2502.15589 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.147403Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:d216bec173b7d3235b96fae6cfeb1601750fece9f9f76b5911595310d90fbead","observation_id":"e4d8f03d-be1f-421b-92ca-e4ce1579f7ff","resolution":{"observed_at":"2026-08-02T12:48:48.147403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18547","last_updated":"2025-06-02T00:44:09Z","snapshot_observed_at":"2026-08-13T10:37:12.511011Z","submitted_at":"2024-12-24T16:55:45Z","title":"Token-Budget-Aware LLM Reasoning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18547","snapshot_observed_at":"2026-08-02T12:48:48.262765Z","title":"arXiv:2412.18547 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.262765Z"},"links":{"cited_paper":"/paper/2412.18547","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:54fe9ec58e626c5373540c1da56b93b6afe62879845bb0d9ae72e86a77f5c6f1","observation_id":"185ddfd7-3a8f-492b-9edb-d4419c5e6c9e","resolution":{"observed_at":"2026-08-02T12:48:48.262765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19825","last_updated":"2025-01-23T08:45:52Z","snapshot_observed_at":"2026-08-12T23:13:02.941943Z","submitted_at":"2024-07-29T09:21:52Z","title":"Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19825","snapshot_observed_at":"2026-08-02T12:48:48.354738Z","title":"arXiv:2407.19825 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.354738Z"},"links":{"cited_paper":"/paper/2407.19825","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:3d2b3714e7555816a14378680c2da5afc5bc5778cc46885a6fc6dff029f017da","observation_id":"e3acdc5b-cd7d-4328-a55b-06d6228b4451","resolution":{"observed_at":"2026-08-02T12:48:48.354738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:48.494738Z","title":"arXiv:2502.12067 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.494738Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:f6731f33741e702da849e772740d25016d6324ef4f69ad1dceeacbafaca818f8","observation_id":"a186e6cf-ee96-47c1-8cc0-16a773d5e7dd","resolution":{"observed_at":"2026-08-02T12:48:48.494738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:48.546741Z","title":"arXiv:2503.06692 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.546741Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:cd5890813e5c811140f72a7235957b927c59c45f33f8484e221346b6bd4d80b9","observation_id":"e7a072e6-e2d0-4306-867c-f694f0778041","resolution":{"observed_at":"2026-08-02T12:48:48.546741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:48.642165Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.642165Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:45c2ca254ddbbabe51491e59c2d8d9089a3ba75da0a14e1959e7f4fa5e8ed7d4","observation_id":"90652149-c6f0-471e-b427-1fd9dd5ab1f0","resolution":{"observed_at":"2026-08-02T12:48:48.642165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:48.814757Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.814757Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:70d25e304daf782f7f3012648c30fa16a4ac2b2f5699ad1de9fac65241d12b22","observation_id":"73253eb6-c45a-4c49-b78f-f6d43912a54a","resolution":{"observed_at":"2026-08-02T12:48:48.814757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17827","last_updated":"2025-08-02T10:54:47Z","snapshot_observed_at":"2026-08-09T04:03:13.882496Z","submitted_at":"2025-05-23T12:41:29Z","title":"Not All Tokens Are What You Need In Thinking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.17827","snapshot_observed_at":"2026-08-02T12:48:48.944740Z","title":"arXiv:2505.17827 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:48.944740Z"},"links":{"cited_paper":"/paper/2505.17827","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:a97964771dad4e93d3d109e59fb6c429571ba24c57ef090e6e473c748ec2ac96","observation_id":"b9f0fa1e-3f0a-4606-be62-2d7f1a56da07","resolution":{"observed_at":"2026-08-02T12:48:48.944740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.174743Z","title":"Proceedings of ICML , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.174743Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:0d0fcf0728e73630d749c858e677e28fd83cb1fc859c04c9c4e838caa904594a","observation_id":"1f9afa21-7545-4ab7-8316-a109fd5118f8","resolution":{"observed_at":"2026-08-02T12:48:49.174743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06203","last_updated":"2025-07-10T16:43:36Z","snapshot_observed_at":"2026-08-07T04:57:37.201438Z","submitted_at":"2025-07-08T17:29:07Z","title":"A Survey on Latent Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06203","snapshot_observed_at":"2026-08-02T12:48:49.314944Z","title":"arXiv:2507.06203 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.314944Z"},"links":{"cited_paper":"/paper/2507.06203","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:3713a525854451b45d10320ac1883bce74ab72cfc2f726714e2dc7e7c6f66b01","observation_id":"8956c940-0904-4bb0-a9b7-836bf56ec78a","resolution":{"observed_at":"2026-08-02T12:48:49.314944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.384740Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.384740Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:3cb97580e431de626d8b39b041a0fda1b52e03e7a041d080f8d482d7a4adb3d8","observation_id":"338adcf1-66c4-4546-92c2-96f0e8900b01","resolution":{"observed_at":"2026-08-02T12:48:49.384740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.504743Z","title":"Proceedings of ICLR , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.504743Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:bdc041fab3c1fa359a78b9e03c003124fdf3814163855dded8ddc6473eee2e9e","observation_id":"3cb25c44-7e42-4b27-93de-ef144d1693e1","resolution":{"observed_at":"2026-08-02T12:48:49.504743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.596808Z","title":"Proceedings of ICLR , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.596808Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:87f2ce9f93dab5c668b1a74c49dfeccfedfbce81604efb64cba1cc8e1682cace","observation_id":"2e0c13e9-a810-4abd-aeb2-ccea231f208f","resolution":{"observed_at":"2026-08-02T12:48:49.596808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.714745Z","title":"https://qwenlm.github.io/blog/qwq-32b-preview/ , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.714745Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:e2c2645a92037a5c757ed2c004c50e1670d0dc29156a06cba3cf3262bd635360","observation_id":"0dc86675-a5ec-4dc0-8deb-b68273360078","resolution":{"observed_at":"2026-08-02T12:48:49.714745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.804874Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.804874Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:de6dc26c8ac94427e5b4cddea556fa58da11e00af7cef81bcb89c6ab8fa9ccd2","observation_id":"d8ea0eb8-365e-4c1c-bde1-0752cba4f18f","resolution":{"observed_at":"2026-08-02T12:48:49.804874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.868913Z","title":"Proceedings of ACL , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.868913Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:727aae3019bff7fd1e86d5e65c86f4494711823716befc4b39e1550b43dab09d","observation_id":"658fc473-207a-403e-9b68-bf2ef10251a2","resolution":{"observed_at":"2026-08-02T12:48:49.868913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:49.954742Z","title":"Proceedings of ICLR , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:49.954742Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:053dce00cc8f0a9bfdb188019e2191932737cc6d9ae108c58b9948887822431c","observation_id":"2a3c14e1-a01a-4404-9603-39314301611a","resolution":{"observed_at":"2026-08-02T12:48:49.954742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09858","last_updated":"2025-04-14T04:08:16Z","snapshot_observed_at":"2026-08-08T01:06:59.135762Z","submitted_at":"2025-04-14T04:08:16Z","title":"Reasoning Models Can Be Effective Without Thinking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09858","snapshot_observed_at":"2026-08-02T12:48:50.044869Z","title":"arXiv:2504.09858 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.044869Z"},"links":{"cited_paper":"/paper/2504.09858","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:5ddaca217e6103b175ea95554dcae254bd910580c0ed2f4750ff62cf75a523a6","observation_id":"5ef7d5cb-1cfa-4f7f-8853-ca1a94f2f450","resolution":{"observed_at":"2026-08-02T12:48:50.044869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20122","last_updated":"2025-06-10T10:54:28Z","snapshot_observed_at":"2026-08-08T01:06:04.764010Z","submitted_at":"2025-02-27T14:14:50Z","title":"Self-Training Elicits Concise Reasoning in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20122","snapshot_observed_at":"2026-08-02T12:48:50.114743Z","title":"arXiv:2502.20122 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.114743Z"},"links":{"cited_paper":"/paper/2502.20122","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:2f6e059acd7b7d1e0260309a153acb7c7415982bcea6322d1e1801b5929ebeee","observation_id":"9b6f061e-3d31-42d7-a182-b98ecf9fd697","resolution":{"observed_at":"2026-08-02T12:48:50.114743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04697","last_updated":"2025-10-03T01:55:58Z","snapshot_observed_at":"2026-08-06T08:53:09.095000Z","submitted_at":"2025-03-06T18:43:29Z","title":"L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04697","snapshot_observed_at":"2026-08-02T12:48:50.195619Z","title":"arXiv:2503.04697 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.195619Z"},"links":{"cited_paper":"/paper/2503.04697","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:419fe0267a85f9b654bf2930cee9cf5706888c5909c7d3bf9bc55e203d6b4dc0","observation_id":"87a3a126-65b9-4054-bf34-fadf898fb3d6","resolution":{"observed_at":"2026-08-02T12:48:50.195619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:50.306149Z","title":"arXiv:2503.04472 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.306149Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:fa6eb93680045d9da62816970a344365b9b7520431efae4c2ba502f9fd9c1983","observation_id":"b84dbcf1-7d94-46fd-b603-3e17af0cac0d","resolution":{"observed_at":"2026-08-02T12:48:50.306149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09601","last_updated":"2025-02-13T18:52:36Z","snapshot_observed_at":"2026-08-08T03:37:50.177168Z","submitted_at":"2025-02-13T18:52:36Z","title":"CoT-Valve: Length-Compressible Chain-of-Thought Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09601","snapshot_observed_at":"2026-08-02T12:48:50.388263Z","title":"arXiv:2502.09601 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.388263Z"},"links":{"cited_paper":"/paper/2502.09601","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:01660b31e86ae9df52cfd4979e810a6b9e4619540c1f52eb63b22943a9b885bb","observation_id":"afd8f32d-a85e-4b8c-8eba-69994d502a48","resolution":{"observed_at":"2026-08-02T12:48:50.388263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:50.504297Z","title":"Proceedings of AAAI , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.504297Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:ecdf8006c042803835503c1b265e3999f241497036d28e52f5e0c3ec7f54aec6","observation_id":"247bf7b8-87d8-48a1-92c6-6db2de1fc347","resolution":{"observed_at":"2026-08-02T12:48:50.504297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:50.637004Z","title":"arXiv:2505.16838 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.637004Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:64ce8a9be295dd34ee9281450627ca4c58e6af199bdd8edf34a843faf7fd8425","observation_id":"9b7807f5-ae5d-4065-8067-bfbb883f869f","resolution":{"observed_at":"2026-08-02T12:48:50.637004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:50.775714Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.775714Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:0eafcc4ce9c3617a9477a5e6d96caa1f10eaf7a8e7b87cab7626b756e41f43cc","observation_id":"2a7269ab-0caa-4c2c-8a01-253a29d456bd","resolution":{"observed_at":"2026-08-02T12:48:50.775714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17453","last_updated":"2024-04-07T00:56:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-29T17:59:56Z","title":"Efficient Streaming Language Models with Attention Sinks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17453","snapshot_observed_at":"2026-08-02T12:48:50.872358Z","title":"arXiv:2309.17453 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.872358Z"},"links":{"cited_paper":"/paper/2309.17453","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:faa59348c5e4c606e20653f7f01a4bd932ed8a3516bf91f57bc48817eeeec0ac","observation_id":"43cf70fa-8f1e-470f-8e72-e25abc14e962","resolution":{"observed_at":"2026-08-02T12:48:50.872358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:50.925861Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:50.925861Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:7d2be9a553f3da67e377b99a0ee00944f54ae4b5376858ff313d678d2f38fca1","observation_id":"24476e39-72f0-4d2c-8e58-1c7f5bd51c29","resolution":{"observed_at":"2026-08-02T12:48:50.925861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:51.154747Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:51.154747Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:0af415080acd6f1e503451eccb24d35068eb9dbdeb25f89a70b2f4e0877a12f4","observation_id":"0da7f182-7321-41f5-96c7-5915e8730f0a","resolution":{"observed_at":"2026-08-02T12:48:51.154747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:51.261624Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:51.261624Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:242b2ec9f0a4fc2f2b4a9d670658da50c4dd3140d1867e8dd5d744ed40abf3c7","observation_id":"32ef9c1d-2276-4ab8-909b-4c145764571b","resolution":{"observed_at":"2026-08-02T12:48:51.261624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:51.344733Z","title":"Proceedings of ICML , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:51.344733Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:f9d39ed6904325a3f6d10adb16045f38c93c9b29c1090c76bdcd7bfb5f38ade7","observation_id":"2902395c-4730-4fd2-8ece-1c05818dc306","resolution":{"observed_at":"2026-08-02T12:48:51.344733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-02T12:48:51.476640Z","title":"arXiv:2110.14168 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:51.476640Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:1541309eb354bf40dc670d74c3bbf7aa27518c692c5cf749268d498311c394b0","observation_id":"157edd1c-01af-475c-8787-dc6ddb2c35e6","resolution":{"observed_at":"2026-08-02T12:48:51.476640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:51.674489Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:51.674489Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:f5604de9c55d5e888e8160a2a0e7940d8829045473e0ae7be03c5584222e9c8d","observation_id":"8dc7acaf-dd03-47a8-a381-576e985daebf","resolution":{"observed_at":"2026-08-02T12:48:51.674489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:51.808940Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:51.808940Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:65ec6f9825c9bd83f2f7fabe874ece0162a5421919a3e1b7c3b1b164061fa483","observation_id":"b3aa06bc-dbe9-4b7f-94f6-472a78cbea04","resolution":{"observed_at":"2026-08-02T12:48:51.808940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-02T12:48:51.988153Z","title":"arXiv:2107.03374 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:51.988153Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:1a2e9eae56269955b50510cff1637ee50a9125a45b80ac6cb9a1a7c8b588773e","observation_id":"63c900a0-eabb-43cb-b20a-6eb4c807afee","resolution":{"observed_at":"2026-08-02T12:48:51.988153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:52.199228Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:52.199228Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:3de4cfb9f9cb94f54cfabe33cc05e06b80d6048681dee60b9b62d149ef9633b2","observation_id":"ce67cbdd-f97b-4221-a6e8-ab3597ce5014","resolution":{"observed_at":"2026-08-02T12:48:52.199228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:52.339769Z","title":"2019 , eprint=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:52.339769Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:030078be3a3c1367ae8d34eb4a4ea38e4b9df2df6c9de23a9bd6fb4416dda729","observation_id":"3b1f6621-e53a-4cf4-a4e9-de9c34505193","resolution":{"observed_at":"2026-08-02T12:48:52.339769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:52.497599Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:52.497599Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:a4fc53c64677f7ab31072a78c9661512ce6717799e9b26affefd5dd12d315382","observation_id":"5b037f7f-7b6a-49a6-bcc9-4cbbd040b582","resolution":{"observed_at":"2026-08-02T12:48:52.497599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:52.671702Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:52.671702Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:f4e6b73fc552d8ae213c07d0e14f2fbf861ba46f8690040e2adb8f6a025c6de2","observation_id":"500ecd9b-9e9c-487c-95c8-bdfd11a91b0a","resolution":{"observed_at":"2026-08-02T12:48:52.671702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:52.842625Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:52.842625Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:a01725bec4a1481ee3abcc77b7596a08d967788f97464e79fc4a13832c28fcb3","observation_id":"728d682d-d42e-4865-a14d-af2c15619050","resolution":{"observed_at":"2026-08-02T12:48:52.842625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:53.074997Z","title":"Proceedings of NeurIPS , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.074997Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:426d5034822a339ad0e04fed0b6eb0d3c9856eb8fe8291537278114062c30e3b","observation_id":"69ccb313-1c0e-4e7d-b1c4-f81f3e11e41b","resolution":{"observed_at":"2026-08-02T12:48:53.074997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:53.179349Z","title":"HGRN2: Gated linear","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.179349Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:a21fbbf512ffa57475604bb89bdd77165c152f7d88d24079467cb43f4c188e47","observation_id":"c28a91f2-c9d4-454e-b4b0-bcdc0ca73c61","resolution":{"observed_at":"2026-08-02T12:48:53.179349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:53.283661Z","title":"Proceedings of ICLR , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.283661Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:88de066ca51490a2189c3bb5abb179cce2496703df6be4748a94d33cf3dd16ff","observation_id":"e1d614ae-3f4d-4445-8257-a2ef4aa73987","resolution":{"observed_at":"2026-08-02T12:48:53.283661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:53.352071Z","title":"Proceedings of ICML , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.352071Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:388e8ed8207047a7e7df64f724036a5419fe76528a1ac7c3a0892517608bc181","observation_id":"8c48bb3d-38c1-44fd-a7f9-ff423df69f69","resolution":{"observed_at":"2026-08-02T12:48:53.352071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01427","last_updated":"2023-09-28T05:19:06Z","snapshot_observed_at":"2026-08-13T10:03:25.773617Z","submitted_at":"2023-09-28T05:19:06Z","title":"Attention Sorting Combats Recency Bias In Long Context Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01427","snapshot_observed_at":"2026-08-02T12:48:53.412466Z","title":"arXiv:2310.01427 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.412466Z"},"links":{"cited_paper":"/paper/2310.01427","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:9d392be930ec979e9069af78e148f6de95ff578ede3b4e50f6025b40b83bb9e3","observation_id":"71e17f80-eef7-4b54-883c-0870f14a2bd1","resolution":{"observed_at":"2026-08-02T12:48:53.412466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01100","last_updated":"2025-03-31T20:37:34Z","snapshot_observed_at":"2026-08-12T23:31:28.428984Z","submitted_at":"2024-07-01T09:06:57Z","title":"Eliminating Position Bias of Language Models: A Mechanistic Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01100","snapshot_observed_at":"2026-08-02T12:48:53.591990Z","title":"arXiv:2407.01100 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.591990Z"},"links":{"cited_paper":"/paper/2407.01100","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:a79b8f014501ed65c840a1fc2d69274a43bc0d1df515db6319ce57b6cef8430d","observation_id":"ecb2416b-a665-4318-848c-77305a2bdbff","resolution":{"observed_at":"2026-08-02T12:48:53.591990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16747","last_updated":"2024-06-24T15:55:59Z","snapshot_observed_at":"2026-08-12T23:35:59.371821Z","submitted_at":"2024-06-24T15:55:59Z","title":"Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16747","snapshot_observed_at":"2026-08-02T12:48:53.646647Z","title":"arXiv:2406.16747 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.646647Z"},"links":{"cited_paper":"/paper/2406.16747","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:25a4d447dfe55af0789b9e4d86492833dabedab47435498592733e1b9919efa8","observation_id":"8ad763a5-25d8-4db5-80d3-4fc1c6c07f85","resolution":{"observed_at":"2026-08-02T12:48:53.646647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12929","last_updated":"2023-11-09T14:05:51Z","snapshot_observed_at":"2026-08-13T11:11:56.448048Z","submitted_at":"2023-06-22T14:39:04Z","title":"Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12929","snapshot_observed_at":"2026-08-02T12:48:53.848185Z","title":"arXiv:2306.12929 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.848185Z"},"links":{"cited_paper":"/paper/2306.12929","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:4b1cabb1850ea1218ba8b09b23f628e2288cfbaae8f2bfcdeaac800131b838f8","observation_id":"73249661-4f80-41e3-b20e-1ae17010694a","resolution":{"observed_at":"2026-08-02T12:48:53.848185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:53.946685Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:53.946685Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:ff2f1cef1425d84e16b821f82268c597d4afb4b2a9814a3f6f257209ec1c0413","observation_id":"e6c682f8-af66-4f03-a369-56e2ce8e7a11","resolution":{"observed_at":"2026-08-02T12:48:53.946685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08313","last_updated":"2025-01-14T18:50:05Z","snapshot_observed_at":"2026-08-13T08:34:05.764059Z","submitted_at":"2025-01-14T18:50:05Z","title":"MiniMax-01: Scaling Foundation Models with Lightning Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.08313","snapshot_observed_at":"2026-08-02T12:48:54.132284Z","title":"arXiv:2501.08313 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:54.132284Z"},"links":{"cited_paper":"/paper/2501.08313","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:59891ddc1b2c09e3abd90993d602da781d03528a296076f6539c01f9c228d44b","observation_id":"14d80a31-c68c-4dd0-8df0-39123973a78c","resolution":{"observed_at":"2026-08-02T12:48:54.132284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.02556","last_updated":"2025-12-02T09:25:14Z","snapshot_observed_at":"2026-08-12T08:24:59.243273Z","submitted_at":"2025-12-02T09:25:14Z","title":"DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.02556","snapshot_observed_at":"2026-08-02T12:48:54.309435Z","title":"arXiv:2512.02556 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:54.309435Z"},"links":{"cited_paper":"/paper/2512.02556","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:d3d807b8ae1c0235f2d48760eb6b263bb2ae9b361c9ee2b61aa1a58d427c2fa8","observation_id":"1c6aba85-abb5-4f20-8eea-21ca5bd06ee8","resolution":{"observed_at":"2026-08-02T12:48:54.309435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.15763","last_updated":"2026-02-24T10:44:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-17T17:50:56Z","title":"GLM-5: from Vibe Coding to Agentic Engineering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.15763","snapshot_observed_at":"2026-08-02T12:48:54.510409Z","title":"arXiv:2602.15763 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:54.510409Z"},"links":{"cited_paper":"/paper/2602.15763","citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:6667b2ae1462e95598d021e78d96883b8e0ae1bc02891e9c892cb6b1c4d36689","observation_id":"cf1f277b-19e9-458e-a14d-f428f26d8c4a","resolution":{"observed_at":"2026-08-02T12:48:54.510409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:48:54.593970Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-02T12:48:54.593970Z"},"links":{"citing_paper":"/paper/2607.19358"},"observation_digest":"sha256:f88f744ad73155db18c29eed0ef5ba2749748afa672a122f4d0ddc4659cc5ee6","observation_id":"2fc11127-40f5-4fc3-a4cd-606578bfd224","resolution":{"observed_at":"2026-08-02T12:48:54.593970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.19358","last_updated":"2026-05-29T03:05:29Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-13T06:50:35.355987Z","submitted_at":"2026-05-29T03:05:29Z","title":"LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":64,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":64},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.19358."}