{"as_of":"2026-08-09T06:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61dc2d542d269e7bc742d060aa773221797e27680f145a3d97261eac7a1c3e54","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T12:39:03.324221Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-20T14:43:22.563022Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":"2404.02690","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How sparse attention approximates exact atten- tion? your attention is naturallyn c-sparse","venue":null,"work_id":"732649a0-e1f2-44bb-bfe4-e9f9f4c41935","year":2025},"citing_paper":{"arxiv_id":"2409.10516","last_updated":"2024-12-31T07:11:00Z","snapshot_observed_at":"2026-08-07T09:13:28.333702Z","submitted_at":"2024-09-16T17:59:52Z","title":"RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval","version":3},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-18T08:12:01.798459Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2409.10516"},"observation_digest":"sha256:151b36638c77719d2bf071e4496b85da50b5f35d85ef74ae13a089504dfaf88a","observation_id":"6b5812cf-0fcc-4015-8a02-991f2e04b931","resolution":{"observed_at":"2026-05-18T08:12:02.011756Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":"2404.02690","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How sparse attention approximates exact atten- tion? your attention is naturallyn c-sparse","venue":null,"work_id":"732649a0-e1f2-44bb-bfe4-e9f9f4c41935","year":2025},"citing_paper":{"arxiv_id":"2505.02922","last_updated":"2026-04-27T10:13:35Z","snapshot_observed_at":"2026-08-02T06:23:14.961990Z","submitted_at":"2025-05-05T18:01:17Z","title":"RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-22T15:59:04.724780Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2505.02922"},"observation_digest":"sha256:6e0ae40d246a53251e5d5fa6449d5a39d1be139f560982e2fb19c1535393b04a","observation_id":"306b84cf-2d37-462e-b28a-8c935a3f14ce","resolution":{"observed_at":"2026-05-09T06:35:25.134551Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-08-07T12:39:03.324221Z","title":"Attention is naturally sparse with gaussian distributed input,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24179","last_updated":"2025-05-30T03:40:24Z","snapshot_observed_at":"2026-08-09T00:29:42.217756Z","submitted_at":"2025-05-30T03:40:24Z","title":"SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:03.324221Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2505.24179"},"observation_digest":"sha256:39b93c2c33c663e6afd41419359020a585face76dcfbc7822e5034a47aee49d6","observation_id":"9b8de900-60eb-4bab-8ac4-71d127049db3","resolution":{"observed_at":"2026-08-07T12:39:03.324221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-08-06T21:18:46.851223Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00715","last_updated":"2025-07-01T12:42:06Z","snapshot_observed_at":"2026-08-06T21:06:27.845057Z","submitted_at":"2025-07-01T12:42:06Z","title":"EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:18:46.851223Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2507.00715"},"observation_digest":"sha256:29bbeb5aad4f7eba034314cbda4c081e490d481cf34f84ef584c34954410ead3","observation_id":"a6c6c0d2-b311-4656-a2ea-ccd32cfdedfb","resolution":{"observed_at":"2026-08-06T21:18:46.851223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-08-06T14:17:44.221622Z","title":"Attention is naturally sparse with gaussian distributed input,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19608","last_updated":"2025-07-25T18:23:18Z","snapshot_observed_at":"2026-08-06T14:17:43.357204Z","submitted_at":"2025-07-25T18:23:18Z","title":"DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T14:17:44.221622Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2507.19608"},"observation_digest":"sha256:2e6e4681585bda9c84ccf7a48c02a9dc4491c06ad8e7fea92f4389d9ce1fc00d","observation_id":"eff45d7b-c6ee-48fb-9095-99acb06129ed","resolution":{"observed_at":"2026-08-06T14:17:44.221622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-08-03T14:02:56.657443Z","title":"How sparse attention approximates exact attention? your attention is naturallyn c-sparse.arXiv preprint arXiv:2404.02690,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.22088","last_updated":"2026-06-10T15:31:41Z","snapshot_observed_at":"2026-08-07T01:41:09.207562Z","submitted_at":"2025-12-26T17:20:09Z","title":"Unifying Learning Dynamics and Generalization in Transformers Scaling Law","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T14:02:56.657443Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2512.22088"},"observation_digest":"sha256:47e230bc7fe778ee42b258801dca3a7092c40f8437c2157371804c376117475b","observation_id":"0bfba7ea-7231-457d-8cc2-e55107447ccd","resolution":{"observed_at":"2026-08-03T14:02:56.657443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":"2404.02690","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How sparse attention approximates exact atten- tion? your attention is naturallyn c-sparse","venue":null,"work_id":"732649a0-e1f2-44bb-bfe4-e9f9f4c41935","year":2025},"citing_paper":{"arxiv_id":"2604.18348","last_updated":"2026-04-20T14:43:36Z","snapshot_observed_at":"2026-07-06T23:05:13.178333Z","submitted_at":"2026-04-20T14:43:36Z","title":"AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T05:09:46.155328Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2604.18348"},"observation_digest":"sha256:346f88d6a344a199a643be22672d9fb44e6361c4948c7a218c27c07e83f53c9b","observation_id":"682b3543-8763-4ac2-ac00-c0bb4ecce3cd","resolution":{"observed_at":"2026-05-10T09:43:49.771996Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":"2404.02690","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How sparse attention approximates exact atten- tion? your attention is naturallyn c-sparse","venue":null,"work_id":"732649a0-e1f2-44bb-bfe4-e9f9f4c41935","year":2025},"citing_paper":{"arxiv_id":"2604.26837","last_updated":"2026-04-29T16:02:00Z","snapshot_observed_at":"2026-07-06T23:12:24.456023Z","submitted_at":"2026-04-29T16:02:00Z","title":"Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-07T13:15:21.201950Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2604.26837"},"observation_digest":"sha256:cdd001b6e163be8db7e58461f5d237368f5751a4498d181eed058425e8700737","observation_id":"b8f0bd32-a0d4-457d-8005-c787e396ee0c","resolution":{"observed_at":"2026-05-12T09:01:25.970065Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":"2404.02690","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How sparse attention approximates exact atten- tion? your attention is naturallyn c-sparse","venue":null,"work_id":"732649a0-e1f2-44bb-bfe4-e9f9f4c41935","year":2025},"citing_paper":{"arxiv_id":"2605.09649","last_updated":"2026-05-10T16:47:50Z","snapshot_observed_at":"2026-07-06T23:21:44.900680Z","submitted_at":"2026-05-10T16:47:50Z","title":"Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T05:02:25.513351Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2605.09649"},"observation_digest":"sha256:ffe9e917ebcaf80ea21ce53de997b925411d6853fe834b7fa15838b3b0ad5b6d","observation_id":"7bd1e6bb-a2e3-4e1f-aade-e22b7ce1ed6c","resolution":{"observed_at":"2026-05-12T05:41:26.694598Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":"2404.02690","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How sparse attention approximates exact atten- tion? your attention is naturallyn c-sparse","venue":null,"work_id":"732649a0-e1f2-44bb-bfe4-e9f9f4c41935","year":2025},"citing_paper":{"arxiv_id":"2605.17294","last_updated":"2026-05-17T07:14:15Z","snapshot_observed_at":"2026-08-01T15:25:45.426529Z","submitted_at":"2026-05-17T07:14:15Z","title":"HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-20T14:40:20.517450Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2605.17294"},"observation_digest":"sha256:61364cce119711e750d5ce3f94e6080b24db3d11a67c67d93cec5a50e13f098a","observation_id":"270bd426-51b4-4746-9629-c86ccca39f24","resolution":{"observed_at":"2026-05-20T14:43:22.565139Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02690","snapshot_observed_at":"2026-08-05T20:50:03.960063Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03335","last_updated":"2026-08-04T08:47:57Z","snapshot_observed_at":"2026-08-08T15:40:55.073428Z","submitted_at":"2026-08-04T08:47:57Z","title":"SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T20:50:03.960063Z"},"links":{"cited_paper":"/paper/2404.02690","citing_paper":"/paper/2608.03335"},"observation_digest":"sha256:e57a997aeface1cc42f43db34247bc520466d3e213b669ef88cc0b1ea0d7680a","observation_id":"788cdefd-0f10-471b-b781-cc76670f2e2d","resolution":{"observed_at":"2026-08-05T20:50:03.960063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.02690/citation-record","integrity":"/paper/2404.02690/integrity","json":"/paper/2404.02690/citation-record.json","paper":"/paper/2404.02690"},"outbound":[],"paper":{"arxiv_id":"2404.02690","last_updated":"2025-02-12T14:32:46Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:55:03.561275Z","submitted_at":"2024-04-03T12:37:34Z","title":"How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2404.02690."}