{"as_of":"2026-08-04T23:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c895751b7b5970549a84a69a0498080aaa213255980c1ee56adfa58e04bba051","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:29:28.180885Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":"2201.03533","doi":"10.48550/arxiv.2201.03533","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scrolls: Standardized comparison over long language sequences","venue":null,"work_id":"0f2addb8-4f68-4fe3-9ceb-441f49d80c7e","year":2022},"citing_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},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-11T20:29:59.633357Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2307.08621"},"observation_digest":"sha256:cd6c7216898324d0c574c17376ef55f44ee15e86379855f43865927efca4415c","observation_id":"fbe80ce4-bd48-4924-a3a8-3e3b82b2ad5f","resolution":{"observed_at":"2026-05-11T20:29:59.723170Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":"2201.03533","doi":"10.48550/arxiv.2201.03533","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scrolls: Standardized comparison over long language sequences","venue":null,"work_id":"0f2addb8-4f68-4fe3-9ceb-441f49d80c7e","year":2022},"citing_paper":{"arxiv_id":"2401.10774","last_updated":"2024-06-14T23:32:32Z","snapshot_observed_at":"2026-07-06T17:17:56.276857Z","submitted_at":"2024-01-19T15:48:40Z","title":"Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads","version":3},"reference_index":232,"source":"arxiv_source","source_observed_at":"2026-05-13T10:36:17.764761Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2401.10774"},"observation_digest":"sha256:d6bbfb9d506cba501b071b55aa9e9954f93e0fbe067ef98a9a529ffa6d934aab","observation_id":"b37e34ca-2d9a-4447-9a31-f7eb31b26570","resolution":{"observed_at":"2026-05-13T10:36:18.272390Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":"2201.03533","doi":"10.48550/arxiv.2201.03533","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scrolls: Standardized comparison over long language sequences","venue":null,"work_id":"0f2addb8-4f68-4fe3-9ceb-441f49d80c7e","year":2022},"citing_paper":{"arxiv_id":"2406.07887","last_updated":"2024-06-12T05:25:15Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","submitted_at":"2024-06-12T05:25:15Z","title":"An Empirical Study of Mamba-based Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-18T10:31:03.777169Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2406.07887"},"observation_digest":"sha256:0b0d0292cd9706e700ac7c3f070d92fa5a1db07d6138f675f842bb342a07643d","observation_id":"60987e32-4047-4440-9a03-a3a79badd2c9","resolution":{"observed_at":"2026-05-18T10:31:03.917052Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":"2201.03533","doi":"10.48550/arxiv.2201.03533","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scrolls: Standardized comparison over long language sequences","venue":null,"work_id":"0f2addb8-4f68-4fe3-9ceb-441f49d80c7e","year":2022},"citing_paper":{"arxiv_id":"2407.08608","last_updated":"2024-07-12T22:15:02Z","snapshot_observed_at":"2026-07-06T18:44:53.587276Z","submitted_at":"2024-07-11T15:44:48Z","title":"FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-20T19:45:36.337956Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2407.08608"},"observation_digest":"sha256:a23bf9b35c84225c74284810ca9ca48f39db7decbb0e9ee19a79b0e75b85e7e6","observation_id":"f13de5f0-e7dc-4fb4-ba6d-73263dcf198b","resolution":{"observed_at":"2026-05-20T19:45:36.428515Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":"2201.03533","doi":"10.48550/arxiv.2201.03533","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scrolls: Standardized comparison over long language sequences","venue":null,"work_id":"0f2addb8-4f68-4fe3-9ceb-441f49d80c7e","year":2022},"citing_paper":{"arxiv_id":"2604.07345","last_updated":"2026-04-08T17:56:41Z","snapshot_observed_at":"2026-07-06T22:55:37.787732Z","submitted_at":"2026-04-08T17:56:41Z","title":"Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T17:23:15.999195Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2604.07345"},"observation_digest":"sha256:f29fe88fee23aa16163a5c57ed1d9a4791435da866021a61fc344097df676543","observation_id":"04a41aaa-a676-42c9-895d-fcaca20e0e98","resolution":{"observed_at":"2026-05-10T17:25:38.870371Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":"2201.03533","doi":"10.48550/arxiv.2201.03533","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scrolls: Standardized comparison over long language sequences","venue":null,"work_id":"0f2addb8-4f68-4fe3-9ceb-441f49d80c7e","year":2022},"citing_paper":{"arxiv_id":"2605.08587","last_updated":"2026-05-09T01:07:01Z","snapshot_observed_at":"2026-07-06T23:20:47.880233Z","submitted_at":"2026-05-09T01:07:01Z","title":"Kaczmarz Linear Attention","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-12T01:15:58.330766Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2605.08587"},"observation_digest":"sha256:34c6815c5db8a7e1e78d1c7ba9bedd173a2f91db695da905f64146a27de318cf","observation_id":"c88de38d-dcfd-4569-9683-edfff137e899","resolution":{"observed_at":"2026-05-12T08:06:37.876868Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":"2201.03533","doi":"10.48550/arxiv.2201.03533","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scrolls: Standardized comparison over long language sequences","venue":null,"work_id":"0f2addb8-4f68-4fe3-9ceb-441f49d80c7e","year":2022},"citing_paper":{"arxiv_id":"2605.23170","last_updated":"2026-05-22T02:42:41Z","snapshot_observed_at":"2026-08-03T03:47:34.013785Z","submitted_at":"2026-05-22T02:42:41Z","title":"Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-25T04:58:15.184063Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2605.23170"},"observation_digest":"sha256:6e1cb7d0aef04d322eae9bf62054bc064422b2a534c30a1d089fe1b4fd3ec8b0","observation_id":"2ba67803-7b96-4e5c-a62b-3aa10cf972a2","resolution":{"observed_at":"2026-05-25T05:00:21.816738Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-08-01T06:49:10.062439Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22757","last_updated":"2026-07-23T20:14:48Z","snapshot_observed_at":"2026-08-04T14:24:22.545227Z","submitted_at":"2026-07-23T20:14:48Z","title":"Hierarchical Grading in Large Language Models","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-01T06:49:10.062439Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2607.22757"},"observation_digest":"sha256:a3e8dd2df6b2d233cad889df90d0fd343c1cba9764ea9879519d035ac0dfbc74","observation_id":"5bd32d55-c9a9-46eb-9ba7-4fd5608e8d9b","resolution":{"observed_at":"2026-08-01T06:49:10.062439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-08-01T02:37:54.582013Z","title":"Scrolls: Standardized comparison over long language sequences,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25380","last_updated":"2026-07-28T07:34:53Z","snapshot_observed_at":"2026-08-01T14:23:07.610419Z","submitted_at":"2026-07-28T07:34:53Z","title":"Memory for Large Language Models","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-01T02:37:54.582013Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2607.25380"},"observation_digest":"sha256:886fe6b6065f419821ab3f968c4ae59b336c718328b8edea04b77aa16e16054a","observation_id":"609e7dd0-9127-4d9e-be9f-2b97d226d109","resolution":{"observed_at":"2026-08-01T02:37:54.582013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.03533","snapshot_observed_at":"2026-08-01T08:29:28.180885Z","title":"arXiv preprint arXiv:2201.03533 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27379","last_updated":"2026-07-29T18:37:14Z","snapshot_observed_at":"2026-08-03T17:05:06.191495Z","submitted_at":"2026-07-29T18:37:14Z","title":"HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-01T08:29:28.180885Z"},"links":{"cited_paper":"/paper/2201.03533","citing_paper":"/paper/2607.27379"},"observation_digest":"sha256:e20341f8adcaecff0869e84e1900fb448c1ca6b44be4dbea36252ffc257f10a0","observation_id":"f2090e34-a101-4ac7-a4f2-7efbd9179fd9","resolution":{"observed_at":"2026-08-01T08:29:28.180885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2201.03533/citation-record","integrity":"/paper/2201.03533/integrity","json":"/paper/2201.03533/citation-record.json","paper":"/paper/2201.03533"},"outbound":[],"paper":{"arxiv_id":"2201.03533","last_updated":"2022-10-11T21:30:28Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T19:04:26.422432Z","submitted_at":"2022-01-10T18:47:15Z","title":"SCROLLS: Standardized CompaRison Over Long Language Sequences"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2201.03533."}