{"as_of":"2026-08-22T06:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:345415dc6172f024c5ee71d5923051fe601ab998022e8ac91bf0791aa295156a","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T00:42:31.008284Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T11:49:11.746726Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.09052","snapshot_observed_at":"2026-07-31T11:49:11.746726Z","title":"COBS: Cumulant order block sparse attention.arXiv preprint arXiv:2607.09052, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.24555","last_updated":"2026-07-27T15:28:52Z","snapshot_observed_at":"2026-08-19T20:20:37.133533Z","submitted_at":"2026-07-27T15:28:52Z","title":"LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-31T11:49:11.746726Z"},"links":{"cited_paper":"/paper/2607.09052","citing_paper":"/paper/2607.24555"},"observation_digest":"sha256:48b591be5a26434a81db459dead3158a477c15457f2e093283889150ac6a7b53","observation_id":"1366120e-6eef-44b1-808d-fdc969bc4e17","resolution":{"observed_at":"2026-07-31T11:49:11.746726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2607.09052/citation-record","integrity":"/paper/2607.09052/integrity","json":"/paper/2607.09052/citation-record.json","paper":"/paper/2607.09052"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.11089","last_updated":"2025-02-27T09:01:21Z","snapshot_observed_at":"2026-08-21T11:05:34.442985Z","submitted_at":"2025-02-16T11:53:44Z","title":"Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11089","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2502.11089","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:d85b478c120a5e2bd999772d816f8c3a25e5b94241eae086a89e7347a5863a75","observation_id":"f2e01f19-55b2-41f9-9663-ebcd40bd1203","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06654","last_updated":"2024-08-06T21:48:58Z","snapshot_observed_at":"2026-08-18T14:33:16.365411Z","submitted_at":"2024-04-09T23:41:27Z","title":"RULER: What's the Real Context Size of Your Long-Context Language Models?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06654","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"RULER: What’s the real context size of your long-context language models? arXiv:2404.06654, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2404.06654","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:15b04ff5171fa540ac1e1f90e4a882e7150dc3ab23983f97374207bb56d1cd43","observation_id":"3242f370-ef07-4327-a732-133f31dcef39","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.05150","last_updated":"2020-12-02T17:52:35Z","snapshot_observed_at":"2026-07-31T17:17:17.205582Z","submitted_at":"2020-04-10T17:54:09Z","title":"Longformer: The Long-Document Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.05150","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Peters, and Arman Cohan","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2004.05150","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:2dd38296eaa943717e2eb668da8f6e62d8b06c87f1e7dec7d92d5e93f60c5055","observation_id":"a4e5493a-484e-4f71-88a9-b79722115c1f","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.14062","last_updated":"2021-01-08T07:41:50Z","snapshot_observed_at":"2026-08-10T19:17:03.595450Z","submitted_at":"2020-07-28T08:34:04Z","title":"Big Bird: Transformers for Longer Sequences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.14062","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Big Bird: Transformers for longer sequences","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2007.14062","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:e67c3aa876393bf3265d009a4eb8127c73ec27b81e7c54a1a4f6c9572ee909f9","observation_id":"32097f90-6416-40fc-8116-2c3046035f37","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-08-20T09:03:18.402041Z","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":"2026-07-13T00:42:31.008284Z","title":"Efficient streaming language models with attention sinks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2309.17453","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:444e76c733105d9b4ca3c34fbb67771e73880e46a1c502ad7fba8e2c597eb99a","observation_id":"ff2fffba-b6fa-45d4-82d2-cff879313540","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14048","last_updated":"2023-12-18T19:10:00Z","snapshot_observed_at":"2026-08-20T21:36:51.212852Z","submitted_at":"2023-06-24T20:11:14Z","title":"H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14048","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"H2O: Heavy-hitter oracle for efficient generative inference of large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2306.14048","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:488dd1a0c5ce5ad41460c1414fb348fb7ed2f83d41a48c8841ef2d15268cd243","observation_id":"a0f4ba99-644a-4282-85a3-61dd127e2510","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14469","last_updated":"2024-06-17T03:01:58Z","snapshot_observed_at":"2026-08-14T12:21:04.886717Z","submitted_at":"2024-04-22T17:42:58Z","title":"SnapKV: LLM Knows What You are Looking for Before Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14469","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"SnapKV: LLM knows what you are looking for before generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2404.14469","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:48c7c1a0d5ae12d3cecf31ed77c217d763af8072ff1decb6ac3aae546df94200","observation_id":"491bbc09-7fdb-4418-a57e-d7858769a6ff","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02542","last_updated":"2024-11-07T18:58:50Z","snapshot_observed_at":"2026-08-17T23:57:41.888384Z","submitted_at":"2024-06-04T17:58:03Z","title":"Loki: Low-rank Keys for Efficient Sparse Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02542","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Loki: Low-rank keys for efficient sparse attention","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2406.02542","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:107e4da57cda061c51361c0e58de61b8373f31908006f5e03f3b14393f2ca268","observation_id":"d7c83128-372f-40bf-9acc-9130da661a36","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10774","last_updated":"2024-08-26T21:01:02Z","snapshot_observed_at":"2026-08-19T19:59:53.494904Z","submitted_at":"2024-06-16T01:33:02Z","title":"Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10774","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Quest: Query-aware sparsity for efficient long-context LLM inference","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2406.10774","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:cea179568e554ac201a4eade1300d40473ba5f66f8f7e3b02da7a56b23639336","observation_id":"572b84b2-50c9-4e94-9c38-2881730c1e73","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13245","last_updated":"2023-12-23T17:55:11Z","snapshot_observed_at":"2026-08-15T06:28:09.529747Z","submitted_at":"2023-05-22T17:16:38Z","title":"GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13245","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"GQA: Training generalized multi-query transformer models from multi-head checkpoints","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2305.13245","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:123732fb1413efd2c06e5293fee071c7fa05350351e6127f0160e95619fda772","observation_id":"b626f3fd-5113-4dd3-a2d4-0c4db4609378","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"Hy3: Tencent hunyuan large language model","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:5170517ee641237f7365f4d563aec0cfa89bb16334a0eedd5c80f221e5ca261d","observation_id":"f56b92c6-947e-4057-bc87-ad793b7e5bac","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04434","last_updated":"2024-06-19T06:04:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-07T15:56:43Z","title":"DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04434","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"DeepSeek-V2: A strong, economical, and efficient mixture-of-experts language model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2405.04434","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:7ba9d7d9f2d351ebfde266d8afefcf71bccef6653be04b8092e3574d6ae2d4f3","observation_id":"fc4ca65f-7fdf-470e-bc64-24f53867e329","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"Kimi K2.6.https://huggingface.co/moonshotai/Kimi-K2.6, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:ca7bd5bd8720b1db4c489de70adfc27f1a4a47b4128c3365ed2ede79c2932977","observation_id":"2a5ad66f-252b-4b8e-a26e-cba565ab21c6","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2607.02770","last_updated":"2026-07-02T21:08:53Z","snapshot_observed_at":"2026-08-18T16:22:37.329414Z","submitted_at":"2026-07-02T21:08:53Z","title":"Gemma 4 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.02770","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Gemma 4 technical report","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2607.02770","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:d8547feaf3e03e3a3b4bd6240ec157790f959e3b85ad2dc30253b22727a9903d","observation_id":"43b3e249-777f-4bad-a44a-ab1bb3be1137","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-08-17T01:58:07.850738Z","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":"2026-07-13T00:42:31.008284Z","title":"DeepSeek-V3.2: Pushing the frontier of open large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2512.02556","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:1d02af4b8419cb8ce5baf57b704978fc4ae05d2c90494851fa6f2e2356a58af6","observation_id":"1ad833bb-d9ad-4dc3-acf8-f4be11da8cd8","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"GLM-5.2: Built for long-horizon tasks.https://z.ai/blog/glm-5.2, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:b66630a53c15420c6d9645b35e7ad2b8fa6921296f2010b94dcd6f7237a2a9f1","observation_id":"11d580fc-6622-47fd-a14a-a576998c2b49","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"DeepSeek-V4: Towards highly efficient million-token context intelligence","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:1e12c6b5bb2a97705240636f3005d4d4788b0b2deb943d36e2865149849055af","observation_id":"636f4e49-11b5-40d3-b29b-c3a62c27eda6","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-19T04:42:40.974785Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Gomez, Łukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:16fcbe4942eefba8f6978f599953fe8df10cd1185d19e2fb3afdb435074da6c3","observation_id":"3f87ed34-a68e-4a7b-881e-8e230f289910","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"Dover Publications, Mineola, NY , 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:28d865c17469c5319b539ceaefd1911d55648d115157a10bfd771f805c251106","observation_id":"3fbc5377-ae7e-4835-8b9e-7d17a10ca0b7","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.01294","last_updated":"2026-05-31T15:25:42Z","snapshot_observed_at":"2026-07-06T23:41:53.635605Z","submitted_at":"2026-05-31T15:25:42Z","title":"Don't Read Everything: A Curvature-Conditioned Query for Linear Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.01294","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Don’t read everything: A curvature-conditioned query for linear attention","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2606.01294","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:f137851f63dd310f3285778a7f1495cda59abecadcf018418aace7c6fa4c7a44","observation_id":"a724dca7-af4b-4182-b1ab-40aba4ba8c70","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.09864","last_updated":"2023-11-08T13:36:32Z","snapshot_observed_at":"2026-08-17T06:56:20.644738Z","submitted_at":"2021-04-20T09:54:06Z","title":"RoFormer: Enhanced Transformer with Rotary Position Embedding","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.09864","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"RoFormer: Enhanced transformer with rotary position embedding","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2104.09864","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:36a0926047d3c86a1a9c67480997fc6dbd4dd69b7bebaaaf3947c1cac80cf1a9","observation_id":"8d152c9a-ec7b-4b2f-8f1e-84aaac641ba8","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"LongCrawl64: A long-context natural-language dataset","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:82d65367aa9ad28ceaef43d4df19082975cd17d1e5f422427a2f287932ff9622","observation_id":"fe2419da-8d78-4068-bd5a-9946cadef5bf","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15556","last_updated":"2022-03-29T13:38:03Z","snapshot_observed_at":"2026-08-21T02:12:10.329412Z","submitted_at":"2022-03-29T13:38:03Z","title":"Training Compute-Optimal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.15556","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Rae, Oriol Vinyals, and Laurent Sifre","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2203.15556","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:659969c01c3b7b92629c1a657eb616052886f5ff78c50641fca1fbdcf8f84505","observation_id":"68a78b3d-d638-4dbd-b492-cc5d16c14b01","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.00071","last_updated":"2026-02-06T19:40:50Z","snapshot_observed_at":"2026-08-18T09:44:25.224559Z","submitted_at":"2023-08-31T18:18:07Z","title":"YaRN: Efficient Context Window Extension of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.00071","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"YaRN: Efficient context window extension of large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/2309.00071","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:f3d5e974fe9c53409e09c0742f597ceba13011430c84fd8d05f853045d61dcdb","observation_id":"ec495873-9a5e-4052-9680-3a3439052b46","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02789","last_updated":"2018-09-08T11:47:16Z","snapshot_observed_at":"2026-08-14T07:00:02.529732Z","submitted_at":"2018-09-08T11:47:16Z","title":"Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02789","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Can a suit of armor conduct electricity? a new dataset for open book question answering","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/1809.02789","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:d867993853ede3afcec0f71f09d627d8064cb52c98805c62ed0b969d2c76104a","observation_id":"770efd7d-ad95-46bc-9a3d-df35a657a273","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.11641","last_updated":"2019-11-26T15:31:46Z","snapshot_observed_at":"2026-08-08T00:48:01.603669Z","submitted_at":"2019-11-26T15:31:46Z","title":"PIQA: Reasoning about Physical Commonsense in Natural Language","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.11641","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"PIQA: Reasoning about physical commonsense in natural language","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/1911.11641","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:94dea53d09e9c5aadd1467c4acfe155b332c9aceb668dee2a6f0fbc194c6d218","observation_id":"b09a05d2-5650-4230-8368-40096f60dcee","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.07830","last_updated":"2019-05-19T23:57:23Z","snapshot_observed_at":"2026-08-15T09:37:44.321271Z","submitted_at":"2019-05-19T23:57:23Z","title":"HellaSwag: Can a Machine Really Finish Your Sentence?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.07830","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"HellaSwag: Can a machine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/1905.07830","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:8fb9f5fc957e9831b076014f20b65e450b425b884f1a21831a7194fe7e065434","observation_id":"657e73c4-40c2-4d6b-9a40-f70a81b52317","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05457","last_updated":"2018-03-14T18:04:21Z","snapshot_observed_at":"2026-08-14T19:36:07.505691Z","submitted_at":"2018-03-14T18:04:21Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05457","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Think you have solved question answering? try ARC, the AI2 reasoning challenge","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:6f81e71de6431e113481db1f11d90a42e96662c79dcaa89b2187488efbf2c1f8","observation_id":"a8e5a34b-d667-4f76-8049-3dad16aed354","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.03551","last_updated":"2017-05-13T21:12:37Z","snapshot_observed_at":"2026-08-13T08:58:47.096400Z","submitted_at":"2017-05-09T21:35:07Z","title":"TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.03551","snapshot_observed_at":"2026-07-13T00:42:31.008284Z","title":"Weld, and Luke Zettlemoyer","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"cited_paper":"/paper/1705.03551","citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:fc101441a8ec99229e98e787492bac55383b4631a4b85268d4443e550f186d6e","observation_id":"d3701503-2035-497b-b51f-e3137e31e781","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"WinoGrande: An adversarial Winograd schema challenge at scale","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:48f05431ad60316fc466740f8dc5af9ee5f12729397026d30d23c424e905a1c2","observation_id":"99d138e7-d571-4f0e-a9e8-725687c6994c","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","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":"2026-07-13T00:42:31.008284Z","title":"seqax = sequence modeling + JAX, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-13T00:42:31.008284Z"},"links":{"citing_paper":"/paper/2607.09052"},"observation_digest":"sha256:15b4d43fd1b61a4f9d7b075380ce13adeaa8b9934b1f38172eb62c217a516076","observation_id":"e07686ee-68cf-46e5-b218-3083455ff840","resolution":{"observed_at":"2026-07-13T00:42:31.008284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.09052","last_updated":"2026-07-10T02:48:43Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T12:47:27.810931Z","submitted_at":"2026-07-10T02:48:43Z","title":"COBS: Cumulant Order Block Sparse Attention"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":31},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2607.09052."}