{"as_of":"2026-08-07T05:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7719bf599eeb3c1bdec0a6840a915fe15ee88caafbc90a11a9e828cf630b01c0","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:47:37.435685Z","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":"2026-06-30T21:05:04.183712Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","version":3},"cited_work":{"arxiv_id":"2412.18424","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.18424","snapshot_observed_at":"2026-06-30T21:05:04.183712Z","title":"Natural Language Engineering, 30(4):870–881","venue":null,"work_id":"8e1af28c-962a-43bd-9103-ccf2ce84907e","year":2024},"citing_paper":{"arxiv_id":"2501.00321","last_updated":"2025-06-05T02:59:05Z","snapshot_observed_at":"2026-08-02T18:54:27.250149Z","submitted_at":"2024-12-31T07:32:35Z","title":"OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-17T20:33:26.613927Z"},"links":{"cited_paper":"/paper/2412.18424","citing_paper":"/paper/2501.00321"},"observation_digest":"sha256:63409b66dd35248118cde127cab3e7af5129a852fe1f23e3d19baf4020ca958c","observation_id":"c0b21ae1-ae24-4b69-9d6f-2453b223b098","resolution":{"observed_at":"2026-05-17T20:33:26.800978Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18424","snapshot_observed_at":"2026-08-06T23:47:37.435685Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21600","last_updated":"2025-06-19T07:16:18Z","snapshot_observed_at":"2026-08-06T23:42:13.492339Z","submitted_at":"2025-06-19T07:16:18Z","title":"Structured Attention Matters to Multimodal LLMs in Document Understanding","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T23:47:37.435685Z"},"links":{"cited_paper":"/paper/2412.18424","citing_paper":"/paper/2506.21600"},"observation_digest":"sha256:122c82b6efb2e07d9cabc92fe3e3dc2b738641fa43cb4d90dd34d967ca71471e","observation_id":"557e9e11-9923-40e7-ab49-7003a7901d62","resolution":{"observed_at":"2026-08-06T23:47:37.435685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18424","snapshot_observed_at":"2026-08-06T13:45:18.456133Z","title":"Longdocurl: a comprehensive multimodal long document benchmark integrating un- derstanding, reasoning, and locating,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20145","last_updated":"2025-07-27T06:44:53Z","snapshot_observed_at":"2026-08-06T13:45:17.967208Z","submitted_at":"2025-07-27T06:44:53Z","title":"Multi-Agent Interactive Question Generation Framework for Long Document Understanding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T13:45:18.456133Z"},"links":{"cited_paper":"/paper/2412.18424","citing_paper":"/paper/2507.20145"},"observation_digest":"sha256:e44ce93c4c488d0ca920bc7f4cf3b6f176b0a180e647b936a751ecc1335ced39","observation_id":"63aeeae8-d904-4fca-aa40-385277a2c29e","resolution":{"observed_at":"2026-08-06T13:45:18.456133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18424","snapshot_observed_at":"2026-08-05T11:23:42.973037Z","title":"arXiv preprint arXiv:2412.18424","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02864","last_updated":"2025-09-02T22:21:55Z","snapshot_observed_at":"2026-08-05T11:23:41.718435Z","submitted_at":"2025-09-02T22:21:55Z","title":"A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:23:42.973037Z"},"links":{"cited_paper":"/paper/2412.18424","citing_paper":"/paper/2509.02864"},"observation_digest":"sha256:cb95c5391a32d17e2eb92894cd8ea9baf04d83cf430aad34f4f1da00c14a368b","observation_id":"db14d8fb-aa78-4730-a34c-681ddafcff13","resolution":{"observed_at":"2026-08-05T11:23:42.973037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","version":3},"cited_work":{"arxiv_id":"2412.18424","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.18424","snapshot_observed_at":"2026-06-30T21:05:04.183712Z","title":"Natural Language Engineering, 30(4):870–881","venue":null,"work_id":"8e1af28c-962a-43bd-9103-ccf2ce84907e","year":2024},"citing_paper":{"arxiv_id":"2510.15253","last_updated":"2026-04-20T08:38:26Z","snapshot_observed_at":"2026-07-06T22:32:51.756468Z","submitted_at":"2025-10-17T02:33:16Z","title":"Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T06:54:03.390655Z"},"links":{"cited_paper":"/paper/2412.18424","citing_paper":"/paper/2510.15253"},"observation_digest":"sha256:6b2cd3ea55b0c53fb7f6e106d3cc2a828719c8f0bb99e1626c391c5e63bfdb66","observation_id":"4eece84e-285b-4659-8cea-6f7592771b6d","resolution":{"observed_at":"2026-05-18T06:56:01.624435Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","version":3},"cited_work":{"arxiv_id":"2412.18424","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.18424","snapshot_observed_at":"2026-06-30T21:05:04.183712Z","title":"Natural Language Engineering, 30(4):870–881","venue":null,"work_id":"8e1af28c-962a-43bd-9103-ccf2ce84907e","year":2024},"citing_paper":{"arxiv_id":"2605.12882","last_updated":"2026-05-13T01:54:42Z","snapshot_observed_at":"2026-07-06T23:24:32.412966Z","submitted_at":"2026-05-13T01:54:42Z","title":"CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-14T20:37:36.144960Z"},"links":{"cited_paper":"/paper/2412.18424","citing_paper":"/paper/2605.12882"},"observation_digest":"sha256:fa8062ad30efe4d38b624219639cd7bda1ff7998293eb52decb05cb33b061006","observation_id":"5ee9f810-de8c-4ada-9f2f-8ca545a9d5ed","resolution":{"observed_at":"2026-05-14T20:37:58.184627Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","version":3},"cited_work":{"arxiv_id":"2412.18424","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.18424","snapshot_observed_at":"2026-06-30T21:05:04.183712Z","title":"Natural Language Engineering, 30(4):870–881","venue":null,"work_id":"8e1af28c-962a-43bd-9103-ccf2ce84907e","year":2024},"citing_paper":{"arxiv_id":"2605.14906","last_updated":"2026-05-14T14:41:17Z","snapshot_observed_at":"2026-08-02T09:41:14.453439Z","submitted_at":"2026-05-14T14:41:17Z","title":"MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-30T21:00:25.664841Z"},"links":{"cited_paper":"/paper/2412.18424","citing_paper":"/paper/2605.14906"},"observation_digest":"sha256:c9c765256afcb491eec74716551dcf84d33e589e2921af20ef1062cf48a1310c","observation_id":"46835578-10c3-4a1b-b1e6-73ae1522c09c","resolution":{"observed_at":"2026-06-30T21:05:04.185417Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.18424/citation-record","integrity":"/paper/2412.18424/integrity","json":"/paper/2412.18424/citation-record.json","paper":"/paper/2412.18424"},"outbound":[],"paper":{"arxiv_id":"2412.18424","last_updated":"2025-07-15T17:55:08Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T20:12:45.239449Z","submitted_at":"2024-12-24T13:39:32Z","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.18424."}