{"as_of":"2026-08-10T00:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:58324295ba28f118e4918a128ff92000401db6f0a72b4ce18f13fe2b617e8ca3","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:55:49.318471Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2507.08865/citation-record","integrity":"/paper/2507.08865/integrity","json":"/paper/2507.08865/citation-record.json","paper":"/paper/2507.08865"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.231184Z","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,","venue":null,"work_id":"c9a3af32-4c87-478d-a363-5939ac4e5dce","year":2016},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.066869Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:eab2ddb981450d52f2a362e3695f8b9b035fdb424f4c24604e91bfead4389a09","observation_id":"c037fdd1-7535-4256-ae70-b896ed822213","resolution":{"observed_at":"2026-08-06T18:55:50.237621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.214312Z","title":"TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images,","venue":null,"work_id":"a63fabba-0b63-4932-bff0-81cfa46c5c96","year":2019},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.072724Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:b421af69f0d08d273243299e299f79d626f24a4c953470f11ca16f85e658f8fa","observation_id":"6a7452be-a85c-46f8-b7ca-4e9874b0b638","resolution":{"observed_at":"2026-08-06T18:55:50.220224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.197414Z","title":"DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images,","venue":null,"work_id":"e54955f1-1fc4-42f5-b3da-517ba213e118","year":2017},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.077704Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:413eb35f74108a06d49be587c318cc4e09a4ebfb83eb3427453993bfe05f4930","observation_id":"c75aba57-a6be-44c5-883b-9e31ee5dfb62","resolution":{"observed_at":"2026-08-06T18:55:50.203086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.176698Z","title":"CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents,","venue":null,"work_id":"6e5d1871-edf9-4ba2-8387-14178d676bd3","year":2020},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.082919Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:c397d1a8eab66b78a3f913e9b225c6728ac9a0ab59258a8f3af8c492776371e1","observation_id":"8b9bd25a-0f0f-49e3-af4f-ef9e23397a1a","resolution":{"observed_at":"2026-08-06T18:55:50.182901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.154271Z","title":"OCR-Free Document Understanding Transformer,","venue":null,"work_id":"cf337f5e-c560-472a-bb75-25f78b28fe0a","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.088319Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:237fc195780d70fae6addce34f9c28b6b7776c3790185f8eebfc31e688786c2f","observation_id":"eb90b210-3978-42a2-b07b-85ab37dd18a2","resolution":{"observed_at":"2026-08-06T18:55:50.159263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-06T18:55:49.093498Z","title":"Qwen2.5-VL Technical Report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.093498Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:16f21e4ac13f3fcbc1eceba707169a1fabd1b43b807c02e4490435ea7ff84c5b","observation_id":"bc8179da-dcf1-41af-a4b5-57d5bf5c1123","resolution":{"observed_at":"2026-08-06T18:55:49.093498Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.136034Z","title":"Improved Baselines with Visual Instruction Tuning,","venue":null,"work_id":"68885cc3-bfcc-4d73-bd1d-5694865cd649","year":2024},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.099887Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:63a2bb60d93fa5d6ea7a2f09214b37d8a0819d7d4eefec646630e3e1572c2928","observation_id":"e15587b5-5582-4f19-8278-a25b8b937310","resolution":{"observed_at":"2026-08-06T18:55:50.141164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.119284Z","title":"ReS2TIM: Reconstruct Syntactic Structures from Table Images,","venue":null,"work_id":"fc1d6858-fcfc-4321-9d18-9eaf1453fc44","year":2019},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.105043Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:ef7ba26edb610de34f9baeff7bcae534eebf75a4e66aee3a930af53f1edf717d","observation_id":"bf62fa4b-4836-490d-840d-0da339959bc6","resolution":{"observed_at":"2026-08-06T18:55:50.123977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.102192Z","title":"TableFormer: Table Structure Understanding With Transformers,","venue":null,"work_id":"ab750983-297a-4d23-a35d-cb06fae0df2e","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.110321Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:b2f18ac3f1fb71a2ba7cec62754af2d9ddee17d0e46fa72e8d5a29fe1b5d330e","observation_id":"7f8f3f64-a7aa-41ce-bc8c-d9cf175f5810","resolution":{"observed_at":"2026-08-06T18:55:50.107384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.085242Z","title":"Show, Read and Reason: Table Structure Recognition with Flexible Context Aggregator,","venue":null,"work_id":"1ddf57a0-0d12-4f38-a5e6-e5bf35a6a661","year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.115715Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:ef4b7c56e88d279b2fe9369749ea10035ced163e3a3515177561f4df9df2ba8b","observation_id":"9810772e-4174-46d0-b6e3-9d8d0d510304","resolution":{"observed_at":"2026-08-06T18:55:50.090822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1908.04729","last_updated":"2019-08-28T16:24:53Z","snapshot_observed_at":"2026-07-06T08:14:10.191646Z","submitted_at":"2019-08-13T16:47:08Z","title":"Complicated Table Structure Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.04729","snapshot_observed_at":"2026-08-06T18:55:49.120822Z","title":"Complicated Table Structure Recognition,","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.120822Z"},"links":{"cited_paper":"/paper/1908.04729","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:d77a8a42bbcb4c1d4de7a4ed6886a548045abefd4df09499bb18d99b50e0c471","observation_id":"170c5d45-6b02-499d-b1e4-7bb0e6147280","resolution":{"observed_at":"2026-08-06T18:55:49.120822Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.068866Z","title":"LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking,","venue":null,"work_id":"df34d0d3-9d29-4ecf-819d-8d111f189f28","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.126289Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:806c22ec4ea4c9460fa352c4d834c33af22f361e73b7df74a380aa54cf57ce01","observation_id":"301e54b5-ef69-4b43-83be-508dbdcff02b","resolution":{"observed_at":"2026-08-06T18:55:50.074104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1502.02160","last_updated":"2015-02-07T16:40:17Z","snapshot_observed_at":"2026-08-09T12:50:15.857765Z","submitted_at":"2015-02-07T16:40:17Z","title":"A Survey on Hough Transform, Theory, Techniques and Applications","version":1},"cited_work":{"arxiv_id":"1502.02160","doi":null,"metadata_source":"pith","pith_arxiv_id":"1502.02160","snapshot_observed_at":"2026-08-06T18:55:49.554908Z","title":"A Survey on Hough Transform, Theory, Techniques and Applications","venue":"cs.CV","work_id":"e2e9a8c4-7237-46d4-adea-608981d1c0c8","year":2015},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.131175Z"},"links":{"cited_paper":"/paper/1502.02160","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:3cbe283b78fe767828630c5dc01f9e3d388abfb6b0775d4d3a1f52e4dbceeb94","observation_id":"6adae1ed-ff0c-4e3f-9991-c6f9845de1ea","resolution":{"observed_at":"2026-08-06T18:55:49.562146Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.051346Z","title":"End-to-End Object Detection with Transformers,","venue":null,"work_id":"a73a3d07-2039-4c25-9860-21ed9ea9ae52","year":2020},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.136495Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:59cd90edc81a3b6bfc668709d24a8bfbe25ed800a83a8489f783eca40554003f","observation_id":"76bc8a76-d74a-4d7f-a635-6958497845d2","resolution":{"observed_at":"2026-08-06T18:55:50.057151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.014133Z","title":"Split, Embed and Merge: An accurate table structure recognizer,","venue":null,"work_id":"dc803bf9-d687-4426-9f60-a1abaf43e12e","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.147088Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:044bbd260aa0294605a50c7bb3421e5fbe43d015c948718813dda0283f096778","observation_id":"7fbe6caa-e120-4c70-b7e1-6100c739c9dc","resolution":{"observed_at":"2026-08-06T18:55:50.019406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.997347Z","title":"SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval,","venue":null,"work_id":"d45b0c9d-9850-4294-a50a-1e44895a9d41","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.152339Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:7afa59069ab33986f7b4634f7098f09539b90a910444e9330d9b05fd668b0625","observation_id":"74fcbc94-0ed8-4787-81dd-a66c31b9d26e","resolution":{"observed_at":"2026-08-06T18:55:50.002593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.979888Z","title":"FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents,","venue":null,"work_id":"6a66f8f5-cbf3-4466-9b6a-ea53154aaff9","year":2019},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.157987Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:1e9fc80343b42508dda3b3c58999190efa24ec6c5e2ef3c5d8c898b90b292fe1","observation_id":"a621a17c-8742-406f-aa2b-a13cbcbfd46a","resolution":{"observed_at":"2026-08-06T18:55:49.985179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.963093Z","title":"LayoutLM: Pre-training of Text and Layout for Document Image Understanding,","venue":null,"work_id":"13a1e28f-8995-46c6-bb0e-621370745c10","year":2020},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.163678Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:ef6e72955326615b160c4b09c7a2b47b800f04206f235aa8ee2cb884a9a37da3","observation_id":"a6f5ac28-68bd-46fe-8245-87dfa6ef2977","resolution":{"observed_at":"2026-08-06T18:55:49.968219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2012.14740","last_updated":"2022-01-10T04:08:10Z","snapshot_observed_at":"2026-07-06T10:28:31.555048Z","submitted_at":"2020-12-29T13:01:52Z","title":"LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.14740","snapshot_observed_at":"2026-08-06T18:55:49.169064Z","title":"LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.169064Z"},"links":{"cited_paper":"/paper/2012.14740","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:706958277fe952fd9405ea47f24a7e5d63476f01fa835dc5b138f64c5abe7c72","observation_id":"227c7055-8240-487f-ac35-2601503778e1","resolution":{"observed_at":"2026-08-06T18:55:49.169064Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.946530Z","title":"BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents,","venue":null,"work_id":"340ca455-1b48-45a8-bc35-78d6502cab3e","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.176730Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:a33c1aa7bf78d0a562cee7169b9333b89338c1989127fe6986e5dd01526780e4","observation_id":"b5017779-073a-4f91-a5d6-7407670674d7","resolution":{"observed_at":"2026-08-06T18:55:49.952136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.929695Z","title":"DocFormer: End-to-End Transformer for Document Understanding,","venue":null,"work_id":"8c4a7bac-90b4-43bd-bf96-beb43d5c29fb","year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.181995Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:ba6c3a41e3a8c5c5282d29988a42d66c164764c4a232591d9b8a4c393795bc4c","observation_id":"8f7420d2-ef96-41ca-b5ec-870b7e1ade0a","resolution":{"observed_at":"2026-08-06T18:55:49.935219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.910200Z","title":"SelfDoc: Self-Supervised Document Representation Learn- ing,","venue":null,"work_id":"6a8bdf1f-50e0-4bef-a9d3-eaf22ca3f635","year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.187247Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:d6959e5fc6d6a10098e8020717b2fb6770b41b12b5b8608ece5bef36a2eb497a","observation_id":"46f91678-87bb-4c07-a77c-27bc0d58f8e4","resolution":{"observed_at":"2026-08-06T18:55:49.915893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2102.09550","last_updated":"2021-07-12T09:31:31Z","snapshot_observed_at":"2026-08-09T05:54:52.826958Z","submitted_at":"2021-02-18T18:51:47Z","title":"Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer","version":3},"cited_work":{"arxiv_id":"2102.09550","doi":null,"metadata_source":"pith","pith_arxiv_id":"2102.09550","snapshot_observed_at":"2026-08-06T18:55:49.506528Z","title":"Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer","venue":"cs.CL","work_id":"e2417451-dc78-4a33-804b-871a9f4cef16","year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.193010Z"},"links":{"cited_paper":"/paper/2102.09550","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:07ca670f2e6ea899937015b6a61980d4a1f51de9dcd8a7a6244c0566bbfee2c6","observation_id":"0f927beb-94b2-4a21-8bf8-b31448696cbd","resolution":{"observed_at":"2026-08-06T18:55:49.512922Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.892720Z","title":"XY- LayoutLM: Towards Layout-Aware Multimodal Networks For Visually- Rich Document Understanding,","venue":null,"work_id":"f677d13d-02a8-4467-b4d2-d6c63dec2359","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.199205Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:40d1b829776c40edf7c1d13bc3551d3858e94e7a32c36a8b9c5f793ef3ff9433","observation_id":"17b82393-dc38-4315-9631-ddbf126778c2","resolution":{"observed_at":"2026-08-06T18:55:49.898329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2202.13669","last_updated":"2022-02-28T10:33:01Z","snapshot_observed_at":"2026-08-09T18:35:45.316749Z","submitted_at":"2022-02-28T10:33:01Z","title":"LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding","version":1},"cited_work":{"arxiv_id":"2202.13669","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.13669","snapshot_observed_at":"2026-08-06T18:55:49.476199Z","title":"LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding","venue":"cs.CL","work_id":"f16412ab-6c6d-4bdf-8e9d-dec00324e30f","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.204032Z"},"links":{"cited_paper":"/paper/2202.13669","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:35caf3b6dc17488c6dc9f2010f9b9b33b14b4566feeae048954d69c5f48faff3","observation_id":"041a13c9-826f-446e-8317-f02f3a49d11d","resolution":{"observed_at":"2026-08-06T18:55:49.484109Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.875229Z","title":"DiT: Self-supervised Pre-training for Document Image Transformer,","venue":null,"work_id":"4416cef0-c88e-46c6-9a68-466541ef1ac5","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.209692Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:0a6acd14ea4b689d1147798e17e1e8dbbe76309dea85324b7696a7dfa3403c5a","observation_id":"ff21144b-72fe-4caa-a020-25c58ee9f815","resolution":{"observed_at":"2026-08-06T18:55:49.880850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2106.08254","last_updated":"2022-09-03T14:11:33Z","snapshot_observed_at":"2026-07-06T11:19:34.705520Z","submitted_at":"2021-06-15T16:02:37Z","title":"BEiT: BERT Pre-Training of Image Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.08254","snapshot_observed_at":"2026-08-06T18:55:49.214704Z","title":"BEiT: BERT Pre-Training of Image Transformers,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.214704Z"},"links":{"cited_paper":"/paper/2106.08254","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:3b87ecbfe2e53216bbd679d4359f8a38d3e5d385726c7b2eb192fbe9838c617e","observation_id":"6b7b102f-e8db-4327-9175-e69c48dfdc64","resolution":{"observed_at":"2026-08-06T18:55:49.214704Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.858027Z","title":"StrucTexT: Structured Text Understanding with Multi- Modal Transformers,","venue":null,"work_id":"ec2fe265-efba-41f4-86e3-d926b10bbf6d","year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.220021Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:0ae93a9af84f79a2200d084f49d060b5a45649dcd648b87ad083be2f9787d01b","observation_id":"e4377905-1d98-48f2-a7e9-e0395f60b6c8","resolution":{"observed_at":"2026-08-06T18:55:49.863328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.839283Z","title":"UniDoc: Unified Pretraining Framework for Doc- ument Understanding,","venue":null,"work_id":"6ef44b94-e6dd-448a-b775-c3aba5406328","year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.224768Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:3becf847a04558ee085f6199b20fa68b32d9e41dddcea133a23395807224112b","observation_id":"86f6e377-c339-4b86-aff4-909cfbd33998","resolution":{"observed_at":"2026-08-06T18:55:49.844970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.819717Z","title":"Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding,","venue":null,"work_id":"878af93a-0856-4d39-bac8-ceb381aef562","year":2023},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.230333Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:a584199e28f4aad41c1a8b3732e3cee66e77bbad7604e740aa8b73a073b9dbe4","observation_id":"29f8f14a-bcf0-4d76-ae39-308fd3949694","resolution":{"observed_at":"2026-08-06T18:55:49.825664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2412.13663","last_updated":"2024-12-19T06:32:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-18T09:39:44Z","title":"Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13663","snapshot_observed_at":"2026-08-06T18:55:49.235298Z","title":"Smarter, Better, Faster, Longer: A Modern Bidirec- tional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.235298Z"},"links":{"cited_paper":"/paper/2412.13663","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:96576524bf95c94779bd291e25a94caef1a5415e2034d0d35df84c182e8855d0","observation_id":"cb223f06-246d-422b-b964-bd13890d7335","resolution":{"observed_at":"2026-08-06T18:55:49.235298Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.799797Z","title":"PubTables-1M: Towards comprehensive table extraction from unstructured documents,","venue":null,"work_id":"fadcd92d-0ff5-4e82-8d59-0b01045fe283","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.240594Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:17004bb6b1847ed5cc3feeab386989ac7979f79a5ed22ac9570b0b9abed4439f","observation_id":"bfe42261-e5ba-4147-b525-353e876071eb","resolution":{"observed_at":"2026-08-06T18:55:49.806125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.780890Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,","venue":null,"work_id":"f6e5992c-2f3d-424c-8c1c-0cba26c109bd","year":2019},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.245591Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:3ee1b9b6af090eb061be688ac16de8098481fa0f7e9d6f08d71bd13969662a16","observation_id":"465659d0-d1e8-49e7-ab88-5559ed0d0814","resolution":{"observed_at":"2026-08-06T18:55:49.786827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-06T18:55:49.250669Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.250669Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:265e7a056e75651fd90df30a6bc8d12a6a225aaefeb0b2bd6042c9d0a20b3e22","observation_id":"1097545d-0ea3-4202-8a52-acafdb5b49ed","resolution":{"observed_at":"2026-08-06T18:55:49.250669Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.762531Z","title":"CORD: A Consolidated Receipt Dataset for Post-OCR Parsing,","venue":null,"work_id":"e4d5758c-40c5-4329-ab79-538de5d966a9","year":2019},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.255975Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:40a42fc5b52863010f313627f9800c2ed92f8d260e4160ebfe0e663bdd9e5f34","observation_id":"9b89740f-c43a-403b-8bda-74843449efe3","resolution":{"observed_at":"2026-08-06T18:55:49.768254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.744489Z","title":"Aligning benchmark datasets for table structure recognition,","venue":null,"work_id":"f27b713a-e9a9-469c-9c83-cda2e8569f42","year":2023},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.266182Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:b8c1002fe45a78f10f9ab208eaaddc16756080e1f38862f381c7517b246375b7","observation_id":"78d46349-e672-443f-a452-d722a85e512e","resolution":{"observed_at":"2026-08-06T18:55:49.749593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:50.030792Z","title":"Image-based table recognition: data, model, and evaluation,","venue":null,"work_id":"2ec35ee9-c8f7-46d0-99a5-eab709c7a9f2","year":2020},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.271003Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:75e1d4ac7c0329b31d5d7b4552449ac94d2d2f571716606511e726db86959113","observation_id":"4e4f82ef-d20d-44a5-a097-387586abd10a","resolution":{"observed_at":"2026-08-06T18:55:50.037628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.727220Z","title":"Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling,","venue":null,"work_id":"c98163f5-1b6f-4010-ba9e-f669d45aa39c","year":2023},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.275780Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:7ede390e3d849d157f1a5cd3fbda71a4563037f70392caf664032376952fc1bb","observation_id":"c6bb11fa-7487-40b9-af99-04be7c8c38b1","resolution":{"observed_at":"2026-08-06T18:55:49.732789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.706544Z","title":"Rethinking image-based table recognition using weakly supervised methods,","venue":null,"work_id":"bdf51395-caf2-42b6-8f5f-a1c890e5efd1","year":2023},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.280920Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:2133aee08d63ef42dac3c90a827c8aa8844c31fca37cb47eeec5677308dbd9ea","observation_id":"79ffb60e-7d4c-4cf6-a44a-7a6b51eb3f55","resolution":{"observed_at":"2026-08-06T18:55:49.712758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.686535Z","title":"An End-to-End Local Attention Based Model for Table Recognition,","venue":null,"work_id":"2e45886f-4968-4374-9f0c-56dc37ab9545","year":2023},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.285595Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:1694e6aded0f08cc33c3c4d4eb1f6dc4ec8396ce3d4e1e1b63022fdb47d315bb","observation_id":"eb2d670b-e129-4d65-98da-8f80f225cc50","resolution":{"observed_at":"2026-08-06T18:55:49.693104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.668066Z","title":"Multi-cell Decoder and Mutual Learning for Table Struc- ture and Character Recognition,","venue":null,"work_id":"82f00c01-6324-494d-9747-37843522cb90","year":2024},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.290213Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:07c005ea5e113eb6b5ec6e07492657eb8835001f5c5aa3bbdf8f761c4fe7b222","observation_id":"8ace0da4-4aa4-453f-9399-1043dd84fe47","resolution":{"observed_at":"2026-08-06T18:55:49.673272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.650035Z","title":"LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment,","venue":null,"work_id":"ea668016-c56e-4e38-bef7-11d8ba585f20","year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.295109Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:4c454affad2bbaf9933819c75bd0fdce0daa7e54a875678e0c37b5349fb37ce6","observation_id":"f445c26a-f0c0-46ff-98b0-8ee6fc236f7b","resolution":{"observed_at":"2026-08-06T18:55:49.656002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.631456Z","title":"Neural Collaborative Graph Machines for Table Structure Recognition,","venue":null,"work_id":"f285e6a3-30ff-4012-bf41-f7a29de4e366","year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.300125Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:e4cd44eaf9605c605520267e7875bb0fa6ca217c87999a3941ede434c9dcd167","observation_id":"e212cb64-6fc3-46ff-b0b0-3d7220df3360","resolution":{"observed_at":"2026-08-06T18:55:49.637217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2208.14687","last_updated":"2022-08-31T08:33:36Z","snapshot_observed_at":"2026-07-06T13:47:14.953794Z","submitted_at":"2022-08-31T08:33:36Z","title":"TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.14687","snapshot_observed_at":"2026-08-06T18:55:49.304674Z","title":"TRUST: An Accurate and End-to-End Table struc- ture Recognizer Using Splitting-based Transformers,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.304674Z"},"links":{"cited_paper":"/paper/2208.14687","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:bafd090452c02760308ea8ac484fe82f4f72ac3df017b37b34040c6928440018","observation_id":"f9f3007d-e121-4aaa-8fbe-ebf326437c32","resolution":{"observed_at":"2026-08-06T18:55:49.304674Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:55:49.611947Z","title":"GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction,","venue":null,"work_id":"5eba14d0-c61a-4c10-90d1-e07fdcf914f4","year":2023},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.309394Z"},"links":{"citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:5ef04adab971fe4f81272a187429784d122b8cfb66a07e4ea7b662078c011b77","observation_id":"bc5e30e1-514f-49c0-8325-954fc32eab1c","resolution":{"observed_at":"2026-08-06T18:55:49.618983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2502.14786","last_updated":"2025-02-20T18:08:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-20T18:08:29Z","title":"SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14786","snapshot_observed_at":"2026-08-06T18:55:49.313783Z","title":"SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Fea- tures,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.313783Z"},"links":{"cited_paper":"/paper/2502.14786","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:ac63d4619a6fc964a565b968f8a3139e36bb118945527df496ba19681452269e","observation_id":"bf276afd-5cb6-4af3-9d83-cff8436cf6f9","resolution":{"observed_at":"2026-08-06T18:55:49.313783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.08430","last_updated":"2021-08-06T03:22:14Z","snapshot_observed_at":"2026-07-06T11:30:06.143581Z","submitted_at":"2021-07-18T12:55:11Z","title":"YOLOX: Exceeding YOLO Series in 2021","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.08430","snapshot_observed_at":"2026-08-06T18:55:49.318471Z","title":"YOLOX: Exceeding YOLO Series in 2021,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T18:55:49.318471Z"},"links":{"cited_paper":"/paper/2107.08430","citing_paper":"/paper/2507.08865"},"observation_digest":"sha256:ea8bdbb57989341591043aa4789eeabb69cb6befb590fa0866961f444e29da2e","observation_id":"31391668-d565-4c47-b73f-1911696862ab","resolution":{"observed_at":"2026-08-06T18:55:49.318471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.08865","last_updated":"2025-07-09T14:40:40Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T12:34:18.590112Z","submitted_at":"2025-07-09T14:40:40Z","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":3,"verified_fuzzy":35},"total_outbound_references":47},"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 10 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.08865."}