{"as_of":"2026-08-09T16:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:99dbc22994c7ccb2d59b35a6d8b6de80b5c8a07208f8c1bc3916c7ebba1bca96","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":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T15:56:19.637295Z","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":"2026-07-04T15:09:54.680740Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-09T15:56:19.637295Z","title":"Unidoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01280","last_updated":"2025-02-19T11:13:18Z","snapshot_observed_at":"2026-08-09T15:46:05.582429Z","submitted_at":"2025-02-03T11:51:24Z","title":"Trajectory Map-Matching in Urban Road Networks Based on RSS Measurements","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-09T15:56:19.637295Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2502.01280"},"observation_digest":"sha256:5f9866ab35fc70392cfa04c5a53a7f33683cc8b4d4d194413cd91672b93efcfc","observation_id":"b518075c-ad1e-4f72-95b1-275264b0e729","resolution":{"observed_at":"2026-08-09T15:56:19.637295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-07T15:42:25.553617Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14059","last_updated":"2025-05-20T08:03:59Z","snapshot_observed_at":"2026-08-08T07:54:09.757528Z","submitted_at":"2025-05-20T08:03:59Z","title":"Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T15:42:25.553617Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2505.14059"},"observation_digest":"sha256:5184d26bcf747033cee40c815ddcdd9e767f03715e385fd73fa2ebc6e02697df","observation_id":"0e2b5b13-105c-4794-aadd-32dc8d11ce79","resolution":{"observed_at":"2026-08-07T15:42:25.553617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-07T15:29:17.222816Z","title":"Unidoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15154","last_updated":"2025-05-21T06:20:17Z","snapshot_observed_at":"2026-08-07T15:20:48.014264Z","submitted_at":"2025-05-21T06:20:17Z","title":"Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T15:29:17.222816Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2505.15154"},"observation_digest":"sha256:6d236aa14cbcc81b70526d2f32e186f61ea4f9e71a481c9f8abf23f125bfbbbf","observation_id":"42e9637c-7a60-4daa-90e6-0a6a96d37501","resolution":{"observed_at":"2026-08-07T15:29:17.222816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-07T14:18:20.539328Z","title":"Unidoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding.arXiv preprint arXiv:2308.11592, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.19369","last_updated":"2025-05-25T23:39:34Z","snapshot_observed_at":"2026-08-09T01:23:53.519445Z","submitted_at":"2025-05-25T23:39:34Z","title":"SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:18:20.539328Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2505.19369"},"observation_digest":"sha256:1c595aaa43a6c9819b3703c6baa1842f86da7b3fd7f09d70220ec62753c87457","observation_id":"491b1aae-a70a-43c4-8641-0e21201a8dae","resolution":{"observed_at":"2026-08-07T14:18:20.539328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-07T10:53:58.839998Z","title":"Unidoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding.arXiv preprint arXiv:2308.11592, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04088","last_updated":"2025-06-04T15:46:30Z","snapshot_observed_at":"2026-08-08T10:57:58.673564Z","submitted_at":"2025-06-04T15:46:30Z","title":"Multimodal Tabular Reasoning with Privileged Structured Information","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:53:58.839998Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2506.04088"},"observation_digest":"sha256:5f38eb76fcfda366299cef1ff4a9c4d6cd747a3927b3714eb4aa38a27c6aafd5","observation_id":"bfe7478d-1672-4ab9-b39b-a3d2e9c34a67","resolution":{"observed_at":"2026-08-07T10:53:58.839998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-06T19:21:45.203139Z","title":"Unidoc: A uni- versal large multimodal model for simultaneous text detec- tion, recognition, spotting and understanding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05805","last_updated":"2025-07-08T09:24:07Z","snapshot_observed_at":"2026-08-08T00:42:07.626890Z","submitted_at":"2025-07-08T09:24:07Z","title":"DREAM: Document Reconstruction via End-to-end Autoregressive Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:21:45.203139Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2507.05805"},"observation_digest":"sha256:cb58da5d15739d3b1235af6c96867d9f94bb1abd46303da901a3ba2710891dac","observation_id":"d4ed33a4-f251-4927-860b-22ed8db00373","resolution":{"observed_at":"2026-08-06T19:21:45.203139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2507.09861","last_updated":"2026-04-21T13:31:05Z","snapshot_observed_at":"2026-07-06T21:56:35.665677Z","submitted_at":"2025-07-14T02:10:31Z","title":"A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-19T04:38:49.512293Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2507.09861"},"observation_digest":"sha256:10476e0d0c53828c8453ec11104a50b9c40527074f438b13a2068100a5ff1133","observation_id":"9fc47ca3-2c32-4c31-ad41-99cd785f1d70","resolution":{"observed_at":"2026-05-19T04:42:04.332555Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-03T10:43:50.176177Z","title":"Unidoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09118","last_updated":"2026-07-16T14:44:01Z","snapshot_observed_at":"2026-08-08T18:45:43.759614Z","submitted_at":"2026-01-14T03:35:09Z","title":"LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:50.176177Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2601.09118"},"observation_digest":"sha256:37e3f34c7e266835b15705e28a60f96a3c5dac88281265fbc51211381db7592d","observation_id":"18f6e641-c3e9-4bdb-8b07-e38c0bab17d3","resolution":{"observed_at":"2026-08-03T10:43:50.176177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-03T10:43:42.195991Z","title":"Unidoc: A universal large multimodal model for simultaneous text detection, recog- nition, spotting and understanding,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09238","last_updated":"2026-07-16T14:45:17Z","snapshot_observed_at":"2026-08-07T05:38:49.409741Z","submitted_at":"2026-01-14T07:21:57Z","title":"Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T10:43:42.195991Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2601.09238"},"observation_digest":"sha256:a804c7c3a789b0d28796ad1cd304e79e928afdf9b2d1e44f170a2216c2c1d5a9","observation_id":"66d31a73-531b-4a3a-b04b-5cc2dc5084f7","resolution":{"observed_at":"2026-08-03T10:43:42.195991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2604.03339","last_updated":"2026-04-03T07:59:26Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T07:59:26Z","title":"Hierarchical Awareness Adapters with Hybrid Pyramid Feature Fusion for Dense Depth Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-13T20:01:57.029143Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2604.03339"},"observation_digest":"sha256:ab5dccb8f25e74ec245111cd0df391b22aaae15aae46dc7666b9eac0744a4bd3","observation_id":"65d1ca06-3817-414e-9a67-08313bfafc78","resolution":{"observed_at":"2026-05-13T20:03:12.272128Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2604.19259","last_updated":"2026-04-21T09:20:55Z","snapshot_observed_at":"2026-07-06T23:05:58.167533Z","submitted_at":"2026-04-21T09:20:55Z","title":"Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T03:28:11.747826Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2604.19259"},"observation_digest":"sha256:9203804ce5916d77778d759003f0278198a4f280ad23ec1e55e73a262c846c94","observation_id":"3ea70519-a7a2-4a26-b304-bb5115688556","resolution":{"observed_at":"2026-05-10T03:29:21.633982Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2604.25178","last_updated":"2026-04-28T03:37:24Z","snapshot_observed_at":"2026-07-06T23:11:07.254460Z","submitted_at":"2026-04-28T03:37:24Z","title":"Lightweight Real-Time Rendering Parameter Optimization via XGBoost-Driven Lookup Tables","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-07T17:25:18.561710Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2604.25178"},"observation_digest":"sha256:075fcecb0c6a9db9d4e8eb2790ded12024eb8b484becc9a62fbb0d0ce5f73afc","observation_id":"40e68cff-df95-4c4b-a0cb-0a2a6d77cd14","resolution":{"observed_at":"2026-05-11T23:21:14.845234Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2604.25188","last_updated":"2026-04-28T03:49:35Z","snapshot_observed_at":"2026-07-06T23:11:07.254460Z","submitted_at":"2026-04-28T03:49:35Z","title":"Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-07T17:07:55.177114Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2604.25188"},"observation_digest":"sha256:4cdad4c027c425f64ef10aa98366a24bfa187ac656c8b23c718f69ec0b6fb6e5","observation_id":"173571e1-59a4-4d9d-bcfd-0229e46e3375","resolution":{"observed_at":"2026-05-11T23:22:02.896411Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2604.27353","last_updated":"2026-04-30T03:09:51Z","snapshot_observed_at":"2026-07-06T23:12:52.141592Z","submitted_at":"2026-04-30T03:09:51Z","title":"Gait Recognition via Deep Residual Networks and Multi-Branch Feature Fusion","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-07T08:33:09.327681Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2604.27353"},"observation_digest":"sha256:13c9081b2a13cbdc3944b86bf786d8d030cdaee9b0f4db6813672645f6f129b4","observation_id":"74eb008a-5670-42f5-a095-8928d9f4af5d","resolution":{"observed_at":"2026-05-12T10:01:27.637705Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2605.00885","last_updated":"2026-04-27T09:11:34Z","snapshot_observed_at":"2026-08-06T18:57:47.379606Z","submitted_at":"2026-04-27T09:11:34Z","title":"Multi-Branch Non-Homogeneous Image Dehazing via Concentration Partitioning and Image Fusion","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-09T20:03:36.551943Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2605.00885"},"observation_digest":"sha256:56fdb6edaf06179e4ec28486f535ee724767376e217a36ad55d6d983445f9347","observation_id":"d5f1614e-d80a-4f87-a011-61fffda2d4b3","resolution":{"observed_at":"2026-05-11T15:26:08.682659Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2605.14548","last_updated":"2026-05-14T08:28:49Z","snapshot_observed_at":"2026-07-06T23:25:58.895612Z","submitted_at":"2026-05-14T08:28:49Z","title":"Local Spatiotemporal Convolutional Network for Robust Gait Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-15T02:07:25.917495Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2605.14548"},"observation_digest":"sha256:98da994651a974e8b9ef3cb8abd44decb214259909118594b860e5c4e40ca34c","observation_id":"a254b20e-b1bc-468f-9d04-297da62be12c","resolution":{"observed_at":"2026-05-15T02:08:29.320024Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2605.18173","last_updated":"2026-05-18T10:15:57Z","snapshot_observed_at":"2026-08-02T16:11:51.976692Z","submitted_at":"2026-05-18T10:15:57Z","title":"Do You Need Text Rectification? Soft Attention Mask Embedding for Rectification-Free Scene Text Spotting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-20T11:28:51.711892Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2605.18173"},"observation_digest":"sha256:3d748e5cfb5446c0beb11df94a453ac173f9008b66afe6b96a993039f96d1dfe","observation_id":"9921cc2d-3f12-4dae-8d28-12f01bd57dd3","resolution":{"observed_at":"2026-05-20T11:33:14.584828Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2606.24118","last_updated":"2026-06-23T04:09:05Z","snapshot_observed_at":"2026-08-07T17:06:48.028788Z","submitted_at":"2026-06-23T04:09:05Z","title":"An LMM for Precisely Grounding Elements in Documents","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T01:51:50.043216Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2606.24118"},"observation_digest":"sha256:08aa048e6f41e0d57f6813e7f1af1d6feb8609958311a26d289039473c9f1c12","observation_id":"e39545d6-7c74-40c9-9b46-2e5e934fec8a","resolution":{"observed_at":"2026-07-04T15:09:54.682949Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2606.30189","last_updated":"2026-06-29T12:04:01Z","snapshot_observed_at":"2026-08-08T12:01:02.445654Z","submitted_at":"2026-06-29T12:04:01Z","title":"DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T06:01:20.803078Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2606.30189"},"observation_digest":"sha256:0fd42b6e21d93b68eaa2d0b7ebb71628ffe11f84c5e676941f1277298c9d678d","observation_id":"01858738-d7f0-413c-ae03-36fc32022231","resolution":{"observed_at":"2026-06-30T06:04:21.403127Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":"2308.11592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-07-04T15:09:54.680740Z","title":"UniDoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding","venue":null,"work_id":"c03e11ab-a314-445a-a27f-409f4178ad86","year":2023},"citing_paper":{"arxiv_id":"2607.01602","last_updated":"2026-07-02T02:04:07Z","snapshot_observed_at":"2026-08-02T11:44:30.389009Z","submitted_at":"2026-07-02T02:04:07Z","title":"ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-03T15:23:48.748933Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2607.01602"},"observation_digest":"sha256:60d6602f0ee6c021f8fc40d60bad9434709b6007f6b79a456d2a0b604fd55d0c","observation_id":"fb14e358-776c-4cd9-92c6-922475fe23a9","resolution":{"observed_at":"2026-07-03T15:28:33.653477Z","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":"2308.11592","last_updated":"2023-09-02T04:28:42Z","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11592","snapshot_observed_at":"2026-08-02T14:55:42.466530Z","title":"arXiv preprint arXiv:2308.11592 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16203","last_updated":"2026-05-05T10:59:34Z","snapshot_observed_at":"2026-08-04T21:09:24.743822Z","submitted_at":"2026-05-05T10:59:34Z","title":"DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth","version":1},"reference_index":217,"source":"arxiv_source","source_observed_at":"2026-08-02T14:55:42.466530Z"},"links":{"cited_paper":"/paper/2308.11592","citing_paper":"/paper/2607.16203"},"observation_digest":"sha256:c26c0a1456fac877d96303a0f0d7a92016bc07ae6738593f4bc9c71f26cb04df","observation_id":"9db67247-d520-4e54-8ab4-e626c6140e15","resolution":{"observed_at":"2026-08-02T14:55:42.466530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2308.11592/citation-record","integrity":"/paper/2308.11592/integrity","json":"/paper/2308.11592/citation-record.json","paper":"/paper/2308.11592"},"outbound":[],"paper":{"arxiv_id":"2308.11592","last_updated":"2023-09-02T04:28:42Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T00:41:35.971349Z","submitted_at":"2023-08-19T17:32:34Z","title":"UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding"},"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 21 inbound Pith citation observations for arXiv:2308.11592."}