{"as_of":"2026-08-09T19:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d21ec1aea8fad88dfb64a7e3ad13ed43d399046f4b389fc1db1f1d66d87337fd","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":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":18,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:35:56.618177Z","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":"2026-07-04T09:59:45.169409Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2410.21169","last_updated":"2026-04-04T17:04:02Z","snapshot_observed_at":"2026-07-06T19:40:52.844113Z","submitted_at":"2024-10-28T16:11:35Z","title":"Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction","version":5},"reference_index":174,"source":"pdf_text","source_observed_at":"2026-05-23T19:15:21.695801Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2410.21169"},"observation_digest":"sha256:7300b4eeb900e84fd3647c0e0908c2f5b35454c67c4d597209cf7d31e609f205","observation_id":"1d0b8330-df9f-4d00-9d00-417141a413fa","resolution":{"observed_at":"2026-05-23T19:15:47.146781Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2501.00321","last_updated":"2025-06-05T02:59:05Z","snapshot_observed_at":"2026-08-07T17:13:10.057242Z","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":25,"source":"pdf_text","source_observed_at":"2026-05-17T20:33:26.613927Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2501.00321"},"observation_digest":"sha256:ec35a5381de4c6863cc0a393f8831d18b0a634554a818904e3e0629e27ff384b","observation_id":"2655b100-79ee-4075-a31b-8e8eb81030d6","resolution":{"observed_at":"2026-05-17T20:33:26.760260Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-08-07T23:35:56.618177Z","title":"Weihua Ou, Yingjie Chen, Linqing Liang, Jianping Gou, Jiahao Xiong, Jiacheng Zhang, Lingge Lai, and Lei Zhang","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08826","last_updated":"2025-06-02T17:15:08Z","snapshot_observed_at":"2026-08-09T17:08:45.661089Z","submitted_at":"2025-02-12T22:33:41Z","title":"Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T23:35:56.618177Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2502.08826"},"observation_digest":"sha256:9e6aa2dc9ef75239a5bb3b35aee36b8a6af8d65e6ea45d4582c3dc9efeb60918","observation_id":"0a4e7827-97ca-416c-80b4-8d28d47004fc","resolution":{"observed_at":"2026-08-07T23:35:56.618177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-23T02:25:04.405036Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2502.13923"},"observation_digest":"sha256:f9b49d26d0f45d1a508453f2a6aa7d22818ce3b0eac3400a576c252c604331c8","observation_id":"b239c643-500f-4054-a261-c2b1bc967d0b","resolution":{"observed_at":"2026-05-23T02:25:19.092640Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2504.19678","last_updated":"2026-03-06T19:01:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-28T11:08:22Z","title":"From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-15T02:57:37.873567Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2504.19678"},"observation_digest":"sha256:8d73400261e3009a6dd655aa0a87fe39c2a19ac3bdbc5e4d5b5639e16b389161","observation_id":"0c1ab032-5de0-4550-a6f5-1b60dc2dd58b","resolution":{"observed_at":"2026-05-15T02:57:38.330816Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-08-07T14:57:19.872212Z","title":"Omnidocbench: Benchmarking diverse pdf document parsing with comprehensive annotations.arXiv preprint arXiv:2412.07626, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17163","last_updated":"2026-05-26T01:50:12Z","snapshot_observed_at":"2026-08-07T14:52:59.748689Z","submitted_at":"2025-05-22T15:25:14Z","title":"OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:57:19.872212Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2505.17163"},"observation_digest":"sha256:b3d8f166079bdcb6d19a890c193714b488ef4034a0364f84959949be893af8dd","observation_id":"1576ac8f-c64d-4cae-bb3b-ee042d68991a","resolution":{"observed_at":"2026-08-07T14:57:19.872212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-08-07T04:58:09.094956Z","title":"Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.09344","last_updated":"2025-06-11T02:50:49Z","snapshot_observed_at":"2026-08-08T17:53:50.843512Z","submitted_at":"2025-06-11T02:50:49Z","title":"Ming-Omni: A Unified Multimodal Model for Perception and Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:58:09.094956Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2506.09344"},"observation_digest":"sha256:db2145f55ddc33505eb3d69eb07a5d546b50e35e523fe420b3325cc001c922de","observation_id":"46ecc3aa-3986-4892-9349-3a8f625cc6e7","resolution":{"observed_at":"2026-08-07T04:58:09.094956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2511.14998","last_updated":"2026-04-07T03:13:19Z","snapshot_observed_at":"2026-07-06T22:36:13.287872Z","submitted_at":"2025-11-19T00:41:14Z","title":"FinCriticalED: A Visual Benchmark for Financial Fact-Level OCR","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-17T20:19:52.701262Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2511.14998"},"observation_digest":"sha256:c971a507cd1390ea7f3df4c5f6b9074ffb29fa2fe67e639ff1b572492701d4c5","observation_id":"e07cabd4-b5ef-463b-842c-e40f57f4dbcc","resolution":{"observed_at":"2026-05-17T20:20:11.555432Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2602.02276","last_updated":"2026-02-02T16:17:38Z","snapshot_observed_at":"2026-07-06T22:44:09.804048Z","submitted_at":"2026-02-02T16:17:38Z","title":"Kimi K2.5: Visual Agentic Intelligence","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T16:09:05.225767Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2602.02276"},"observation_digest":"sha256:ebfc0fc089ab95ff2649e15367c00e6d7b01a44a44c6db68317d994dddab4d70","observation_id":"ccfe5ca1-82e5-4598-869f-c1be30e45310","resolution":{"observed_at":"2026-05-10T16:09:05.347444Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-08-02T18:54:54.719570Z","title":"Omnidocbench: Benchmarking diverse pdf document parsing with comprehensive annotations, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.04205","last_updated":"2026-06-22T03:43:39Z","snapshot_observed_at":"2026-08-02T18:54:54.324790Z","submitted_at":"2026-03-04T15:49:06Z","title":"Real5-OmniDocBench: A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T18:54:54.719570Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2603.04205"},"observation_digest":"sha256:0fcfe8fc320f194b32f0b31640cc57213414d2ce0ff201c16bc0c3b390f0c3ae","observation_id":"b9d7b485-da8f-41f9-b5bb-5673b97830e4","resolution":{"observed_at":"2026-08-02T18:54:54.719570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2605.03103","last_updated":"2026-05-04T19:37:21Z","snapshot_observed_at":"2026-07-31T13:35:55.740924Z","submitted_at":"2026-05-04T19:37:21Z","title":"MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T18:10:43.434573Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2605.03103"},"observation_digest":"sha256:e3e63a118c06df9d223359762f9f5eaaf3e6c283d3300dc58ce38f67f701e4b5","observation_id":"25a464e7-47f8-4242-ba21-fdfb3a196fd4","resolution":{"observed_at":"2026-05-09T06:45:40.868022Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2605.19866","last_updated":"2026-05-19T13:58:24Z","snapshot_observed_at":"2026-08-03T21:16:40.817874Z","submitted_at":"2026-05-19T13:58:24Z","title":"Structured Layout Priors for Robust Out-of-Distribution Visual Document Understanding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-20T05:48:34.771799Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2605.19866"},"observation_digest":"sha256:f9d66219ed59f43c6ce97dbe38238447179f08dee0187b563254e652bf62abc6","observation_id":"4778ce9a-db83-40b5-bd77-5309d39f0ec8","resolution":{"observed_at":"2026-05-20T05:53:05.075400Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2605.27978","last_updated":"2026-05-27T05:16:21Z","snapshot_observed_at":"2026-08-04T08:59:45.162198Z","submitted_at":"2026-05-27T05:16:21Z","title":"ABot-OCR Technical Report","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-29T13:29:17.221676Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2605.27978"},"observation_digest":"sha256:419355c16a9e05339faf9473648b97f68cec68a91f2d7620cea83c77d3375afd","observation_id":"104f0dd6-2d59-4a73-8732-d19bf6b2e051","resolution":{"observed_at":"2026-06-29T13:33:28.198034Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2606.07401","last_updated":"2026-06-05T15:41:34Z","snapshot_observed_at":"2026-08-09T18:25:14.298929Z","submitted_at":"2026-06-05T15:41:34Z","title":"RealDocBench: A Benchmark for Field-Level QA and Layout Understanding on Real-World Regulated Documents","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T22:08:16.858006Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2606.07401"},"observation_digest":"sha256:05ce6c0c4ffd2a7d8e67bd8648c93f37442db4538c6a34f430bed7570517f172","observation_id":"a912d313-509b-4f85-9375-4b3397adad2a","resolution":{"observed_at":"2026-07-02T17:17:14.892915Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2606.18192","last_updated":"2026-06-17T17:09:10Z","snapshot_observed_at":"2026-08-07T20:14:33.087421Z","submitted_at":"2026-06-16T17:22:34Z","title":"The Stanford EDGAR Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T00:42:40.477615Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2606.18192"},"observation_digest":"sha256:f3c228c75271db176f499f73b9c1cbd2ab5d61020bca35c6cbf2b6401239450e","observation_id":"24fa7979-b727-4abd-8b14-d36e5a3549b6","resolution":{"observed_at":"2026-07-03T21:18:59.442364Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":"2412.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-07-04T09:59:45.169409Z","title":"Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, and Tali Dekel","venue":null,"work_id":"a5b25fa8-4e2c-42ce-a802-34140453f053","year":2025},"citing_paper":{"arxiv_id":"2606.23344","last_updated":"2026-06-22T13:48:39Z","snapshot_observed_at":"2026-08-07T02:16:42.075751Z","submitted_at":"2026-06-22T13:48:39Z","title":"RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T09:19:38.285839Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2606.23344"},"observation_digest":"sha256:9373fef637a358c398a8df5eaaa49f9cc24170162dcf96e8b866134aa1934d13","observation_id":"4f46e2e2-d0f1-4e2d-ad3b-0e2d942feaf4","resolution":{"observed_at":"2026-07-04T09:59:45.170867Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-08-02T14:39:21.796004Z","title":"Ouyang, Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14117","last_updated":"2026-07-29T06:21:45Z","snapshot_observed_at":"2026-08-03T04:31:57.411878Z","submitted_at":"2026-05-08T14:07:03Z","title":"Heterogeneous Element-Aware Cross-Version Differencing of Scientific Documents via Layout-Aware Alignment and Structure-Aware Reasoning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T14:39:21.796004Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2607.14117"},"observation_digest":"sha256:83429f3cc20d9f7414399a632a69492f0ddf3900a57181a583214b6573281c91","observation_id":"61d43482-cf0f-4dea-948f-4b7d73d127c5","resolution":{"observed_at":"2026-08-02T14:39:21.796004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07626","snapshot_observed_at":"2026-08-01T05:34:45.592429Z","title":"arXiv:2412.07626","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22200","last_updated":"2026-07-24T11:13:44Z","snapshot_observed_at":"2026-08-03T08:02:50.850496Z","submitted_at":"2026-07-24T11:13:44Z","title":"LayoutLite: Token-Level Implicit Layout Analysis for Efficient Document OCR","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T05:34:45.592429Z"},"links":{"cited_paper":"/paper/2412.07626","citing_paper":"/paper/2607.22200"},"observation_digest":"sha256:b1ca08a7a8ebc674db6aa2c345b268df2deffc0191f0473219559fb8a0f1ac42","observation_id":"a3f0029a-ef24-433e-99c7-81542671c287","resolution":{"observed_at":"2026-08-01T05:34:45.592429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.07626/citation-record","integrity":"/paper/2412.07626/integrity","json":"/paper/2412.07626/citation-record.json","paper":"/paper/2412.07626"},"outbound":[],"paper":{"arxiv_id":"2412.07626","last_updated":"2025-03-25T06:19:32Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:04:43.926718Z","submitted_at":"2024-12-10T16:05:56Z","title":"OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2412.07626."}