{"as_of":"2026-08-08T04:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b38bed468b74411065ac5ccbafc565d424a00b669e585d3434f622d1408544db","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:58:48.707551Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2410.13846","last_updated":"2026-05-18T05:12:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-17T17:58:14Z","title":"LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-23T18:31:35.391674Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2410.13846"},"observation_digest":"sha256:2dbf12e8f9707a68c0580c752c46c2b4a93ff0f33e28c3feb9b8fc49975efc92","observation_id":"65704c0f-3336-4321-920c-eff8fd961f2d","resolution":{"observed_at":"2026-05-23T18:33:19.570139Z","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":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-07T04:58:48.707551Z","title":"Y., Xing, E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09316","last_updated":"2025-06-17T04:56:46Z","snapshot_observed_at":"2026-08-07T11:02:36.129585Z","submitted_at":"2025-06-11T01:25:06Z","title":"On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T04:58:48.707551Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2506.09316"},"observation_digest":"sha256:b5059f36b3fcd11152c094d9d00e886132dc7ac48b1564cfa959f2aa17b37e34","observation_id":"eaa20003-4262-4252-8800-37325f79b0d9","resolution":{"observed_at":"2026-08-07T04:58:48.707551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-07T01:03:44.532806Z","title":"Y ., Xing, E","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12149","last_updated":"2025-06-13T18:08:54Z","snapshot_observed_at":"2026-08-07T00:54:57.742445Z","submitted_at":"2025-06-13T18:08:54Z","title":"Maximally-Informative Retrieval for State Space Model Generation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T01:03:44.532806Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2506.12149"},"observation_digest":"sha256:7d6a4328b38af75033edad04d20a083c720d3ef866116aebcd78ef689348750e","observation_id":"8a370696-080e-42f2-8982-19a292cbcad6","resolution":{"observed_at":"2026-08-07T01:03:44.532806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2509.04154","last_updated":"2026-07-16T05:43:33Z","snapshot_observed_at":"2026-08-05T10:25:10.943738Z","submitted_at":"2025-09-04T12:29:14Z","title":"Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation","version":5},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-18T18:56:48.722344Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2509.04154"},"observation_digest":"sha256:8df5d7631c54037db9c80287c53d498a513f722dfb5225acb98c9c4d48f74bda","observation_id":"b841ec1b-1519-4cac-b542-df5ecae1114b","resolution":{"observed_at":"2026-05-18T19:01:46.143143Z","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":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T10:25:17.013835Z","title":"Li, Eric P","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04154","last_updated":"2026-07-16T05:43:33Z","snapshot_observed_at":"2026-08-05T10:25:10.943738Z","submitted_at":"2025-09-04T12:29:14Z","title":"Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation","version":9},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T10:25:17.013835Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2509.04154"},"observation_digest":"sha256:ed9aeb3a70bfb4961edef81ae8139fd51fa0c3c04a071fb61bc94184f5e54c59","observation_id":"ef2d7010-779a-4abe-9366-74d294dd198a","resolution":{"observed_at":"2026-08-05T10:25:17.013835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2604.24715","last_updated":"2026-04-27T17:23:37Z","snapshot_observed_at":"2026-08-02T10:33:56.860167Z","submitted_at":"2026-04-27T17:23:37Z","title":"Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T03:39:37.485602Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2604.24715"},"observation_digest":"sha256:215bf19d5321b792d04cc201e7585606cc37c61b4576f1e808a7c4a0f7d7754a","observation_id":"4e606c1f-908a-44d2-bca7-b8731ba14903","resolution":{"observed_at":"2026-05-11T22:01:10.712163Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2605.11007","last_updated":"2026-08-02T03:28:25Z","snapshot_observed_at":"2026-08-06T23:24:39.977969Z","submitted_at":"2026-05-10T08:14:14Z","title":"The Transformer as a Polar State Estimator","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-13T00:58:28.483037Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2605.11007"},"observation_digest":"sha256:d6d48b54e39470a079edbb66378033f39c607985995531f36b10ca0f02c0e4bb","observation_id":"d7de1e62-b70d-484a-aad5-a84033a9a1be","resolution":{"observed_at":"2026-05-13T02:17:07.451379Z","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":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2606.07604","last_updated":"2026-05-29T09:40:38Z","snapshot_observed_at":"2026-08-03T04:00:50.272221Z","submitted_at":"2026-05-29T09:40:38Z","title":"Contribution Weights: A Geometrical Analysis of Self-Attention Transformers","version":1},"reference_index":128,"source":"arxiv_source","source_observed_at":"2026-06-28T23:29:02.457697Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2606.07604"},"observation_digest":"sha256:a464ff2cf317ff49880a476439e928842c4a3a86dd92f167722a74578f61a852","observation_id":"a371e693-b752-48d1-841b-ce50f9acd25d","resolution":{"observed_at":"2026-06-28T23:32:46.573799Z","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":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2606.19867","last_updated":"2026-07-01T01:45:29Z","snapshot_observed_at":"2026-07-06T23:55:05.932014Z","submitted_at":"2026-06-18T07:26:32Z","title":"PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T18:15:21.577196Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2606.19867"},"observation_digest":"sha256:b09c6b4808491fdfb193dd30817cc0362424efbbc9b32cbecd046994728fea83","observation_id":"bb3ec78b-a792-4609-b173-839a757ec85f","resolution":{"observed_at":"2026-06-26T18:19:40.899238Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2606.19867","last_updated":"2026-07-01T01:45:29Z","snapshot_observed_at":"2026-07-06T23:55:05.932014Z","submitted_at":"2026-06-18T07:26:32Z","title":"PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-01T07:25:17.849729Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2606.19867"},"observation_digest":"sha256:af9fe9e32a4186e06a6be2bf9bdaebe74619a7da1448d08831639737da6aa6e6","observation_id":"281c5cc1-65e6-42b7-aafb-080ff0dc5acf","resolution":{"observed_at":"2026-07-01T07:25:27.954328Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2408.10189","last_updated":"2025-02-08T20:53:16Z","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models","version":2},"cited_work":{"arxiv_id":"2408.10189","doi":"10.48550/arxiv.2408.10189","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10189","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Y ., Xing, E","venue":"arXiv (Cornell University)","work_id":"141b9dbc-3e07-47f6-bbf8-ecb5f6173065","year":2024},"citing_paper":{"arxiv_id":"2606.19867","last_updated":"2026-07-01T01:45:29Z","snapshot_observed_at":"2026-07-06T23:55:05.932014Z","submitted_at":"2026-06-18T07:26:32Z","title":"PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-02T22:00:40.389728Z"},"links":{"cited_paper":"/paper/2408.10189","citing_paper":"/paper/2606.19867"},"observation_digest":"sha256:4e4ba353e921936721ee80c86e01e48bad7a162b628c50739463a032676153d9","observation_id":"df116046-32ee-4e70-b413-710791d8125e","resolution":{"observed_at":"2026-07-02T22:07:25.671848Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2408.10189/citation-record","integrity":"/paper/2408.10189/integrity","json":"/paper/2408.10189/citation-record.json","paper":"/paper/2408.10189"},"outbound":[],"paper":{"arxiv_id":"2408.10189","last_updated":"2025-02-08T20:53:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:03:00.486641Z","submitted_at":"2024-08-19T17:48:11Z","title":"Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+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 11 inbound Pith citation observations for arXiv:2408.10189."}