{"as_of":"2026-08-15T01:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6b03f63a520c70057bd669686f44f468cb49b7898f0f8f03dbe5836cb19fea00","coverage":[{"denominator":10,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:59:20.413979Z","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":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.10145/citation-record","integrity":"/paper/2411.10145/integrity","json":"/paper/2411.10145/citation-record.json","paper":"/paper/2411.10145"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:59:20.618835Z","title":null,"venue":null,"work_id":"6bde937b-5952-451d-b049-e3cc4073ee45","year":2023},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.347008Z"},"links":{"citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:42461bb9e08081a64820c0e0e6cc05defb81c80deaa365d09165d85b4aa85c81","observation_id":"b43593c7-dc0f-4f9d-bdc4-15d443412ef9","resolution":{"observed_at":"2026-08-12T19:59:20.626076Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.04939","last_updated":"2024-09-06T05:06:51Z","snapshot_observed_at":"2026-08-13T05:30:11.261543Z","submitted_at":"2023-11-08T01:45:37Z","title":"LooGLE: Can Long-Context Language Models Understand Long Contexts?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.04939","snapshot_observed_at":"2026-08-12T19:59:20.354594Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.354594Z"},"links":{"cited_paper":"/paper/2311.04939","citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:f51d4ecac5558434df479217571c5cc482f9c86779d4febc523963a2d72829dd","observation_id":"5cf828fd-cb6b-427c-8860-cc7fc17e2e1f","resolution":{"observed_at":"2026-08-12T19:59:20.354594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-12T19:59:20.363704Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.363704Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:5d270cfc8552257963b8f556cadce970be8b24da1415e29e051a3c3344a7ee2f","observation_id":"546ad1a0-f048-4728-a7a0-b8eb79b2bc94","resolution":{"observed_at":"2026-08-12T19:59:20.363704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-12T19:59:20.370213Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.370213Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:57d034f852644f98fdd590786254c6fbe4851cddf0df325bf7d9a1cb3c9f2356","observation_id":"35f34b98-c5e1-438e-8ade-68ae52fe4571","resolution":{"observed_at":"2026-08-12T19:59:20.370213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17419","last_updated":"2024-10-03T06:03:14Z","snapshot_observed_at":"2026-08-12T23:35:26.317726Z","submitted_at":"2024-06-25T09:42:56Z","title":"Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17419","snapshot_observed_at":"2026-08-12T19:59:20.382966Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.382966Z"},"links":{"cited_paper":"/paper/2406.17419","citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:bdf819fcd17278b226c694c70246a3da8f018c130ec730ed245192f3b9c8a067","observation_id":"0c75937f-fd3c-4dfe-930a-020df8463ee5","resolution":{"observed_at":"2026-08-12T19:59:20.382966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:59:20.389343Z","title":"Chi, Quoc V","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.389343Z"},"links":{"citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:dbda70b9e6c0365dc12b372625d6123d39bb39800a7257a578510a315cecd7af","observation_id":"ea616c24-8dbc-4b14-8450-4babe52dab21","resolution":{"observed_at":"2026-08-12T19:59:20.389343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-12T19:59:20.396377Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.396377Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:d50b25f7001b1491dd1fd51310ac960668709dbed231c85f03b1b0a61aca97e3","observation_id":"5d4cd50d-eeab-49f1-a42c-a2ebc7cdded7","resolution":{"observed_at":"2026-08-12T19:59:20.396377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04422","last_updated":"2025-08-26T08:55:10Z","snapshot_observed_at":"2026-08-12T22:29:50.699929Z","submitted_at":"2024-10-06T09:29:19Z","title":"Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04422","snapshot_observed_at":"2026-08-12T19:59:20.403025Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.403025Z"},"links":{"cited_paper":"/paper/2410.04422","citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:df34a0f832f57d00138abffa6084296411d938e3984434cc180ee6d35a66f611","observation_id":"8a0ea01e-5dbe-452e-a74d-db34b936e4a3","resolution":{"observed_at":"2026-08-12T19:59:20.403025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:59:20.408381Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.408381Z"},"links":{"citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:d00674a9947f326aae31c1e5f4ed23010dccdb37260bf7788419322e9e8ddf16","observation_id":"833a5b40-b1db-40df-9258-736a2c1fd8f1","resolution":{"observed_at":"2026-08-12T19:59:20.408381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:59:20.413979Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T19:59:20.413979Z"},"links":{"citing_paper":"/paper/2411.10145"},"observation_digest":"sha256:9614d77bba26a24b6c3b573903f07e4ab667beeb88b2fd519e77b84749d2289a","observation_id":"9ba1ee86-cf7e-4249-b87a-f372384cc4a1","resolution":{"observed_at":"2026-08-12T19:59:20.413979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.10145","last_updated":"2024-12-04T05:54:43Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T08:04:53.803686Z","submitted_at":"2024-11-15T12:39:02Z","title":"An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks"},"reference_resolution":{"displayed":10,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":10},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2411.10145."}