{"as_of":"2026-08-07T19:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71fc69aa59a7e0ba26f4f9c75ac99d6f96b6b366203842f586e78369a8daea18","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:26:16.669846Z","state":"measured"},{"denominator":75,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":75,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2507.00152/citation-record","integrity":"/paper/2507.00152/integrity","json":"/paper/2507.00152/citation-record.json","paper":"/paper/2507.00152"},"outbound":[{"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":"2026-08-06T21:26:10.812198Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:10.812198Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:6d631d3b9a3c5e242a51dbc4e95f3a28861708e48b6be6a38a9e6c911b660605","observation_id":"612ece5f-7a7a-4cb1-bf10-12298146a13b","resolution":{"observed_at":"2026-08-06T21:26:10.812198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:10.906981Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:10.906981Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:d5c73404585807232a220caa06d132f0ab9c247d21dfb5ce6940e655a038fd30","observation_id":"aaac8a5e-62d3-4fa2-88c2-d54f61ac9e53","resolution":{"observed_at":"2026-08-06T21:26:10.906981Z","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":"2026-08-06T21:26:21.037959Z","title":null,"venue":null,"work_id":"49c419e5-10a0-4f7a-b724-0d23d2fcfa5d","year":2015},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:10.972244Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:7107ccfd8262bbd23427abca1ef50f45245791fc2f08f306e4e5050fdda60a27","observation_id":"cdbfac30-0f21-46bb-9168-aa151b0ccf9a","resolution":{"observed_at":"2026-08-06T21:26:21.040416Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.047743Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.047743Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:9322ae7617046db5c4d4ee184b9ee482d46f6201ae2e64fea74cb15072466072","observation_id":"e080c9b5-a7df-49f7-a7a5-d9cac1e2a2f0","resolution":{"observed_at":"2026-08-06T21:26:11.047743Z","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":"2026-08-06T21:26:21.029915Z","title":null,"venue":null,"work_id":"ca6f49cc-fd30-4cb7-8969-6d151e46d749","year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.106918Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:88ebd24d7a0e8a76cd41fb49fb220c5c926ce11f06482ff1d34162ea93d239ec","observation_id":"423ef55f-ca9a-42a3-bc08-0e08a7ff10e1","resolution":{"observed_at":"2026-08-06T21:26:21.032311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.189995Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.189995Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:382407a251513ceb25d73cfa347271590f0c3953e94a24d92d6ee3644245e8b7","observation_id":"6a21d32f-a300-4df0-917d-2f21cd7c6409","resolution":{"observed_at":"2026-08-06T21:26:11.189995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.261805Z","title":"Yu, Qiang Yang, and Xing Xie","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.261805Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:3092c39f442ad4c8d4951a0e60474081a24e93d977f6399b1c9ca1351e202680","observation_id":"fa795f20-fc7e-4f30-9fbf-ed81e6035ece","resolution":{"observed_at":"2026-08-06T21:26:11.261805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.364100Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.364100Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:6c76fd50e3b1c1e8482cd226ec5b67254233715235382697cc1772630c90cc10","observation_id":"f603b04e-8574-4a4c-964e-d67efe5f0a06","resolution":{"observed_at":"2026-08-06T21:26:11.364100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.10439","last_updated":"2021-02-10T08:21:18Z","snapshot_observed_at":"2026-08-04T17:38:00.331226Z","submitted_at":"2020-10-20T16:48:14Z","title":"Open Question Answering over Tables and Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.10439","snapshot_observed_at":"2026-08-06T21:26:11.421006Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.421006Z"},"links":{"cited_paper":"/paper/2010.10439","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:0b5c59f21fec79804426b5501fea2f9be30637155f180a7e55da65a6693279ce","observation_id":"1ab0bb03-0dc0-492b-a3e3-e4410ecd7395","resolution":{"observed_at":"2026-08-06T21:26:11.421006Z","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":"10.18653/v1/2020.acl-main.708","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:18.149949Z","title":null,"venue":null,"work_id":"e342fc03-b6f9-4750-83c9-c1fb92acf6d2","year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.507714Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:663ed9ba0353c43619f2d552fc12bb105867663e2b852badef3308d99312252e","observation_id":"9df3185a-09d0-441f-b966-1adfe533a5f2","resolution":{"observed_at":"2026-08-06T21:26:18.199025Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:26:21.021810Z","title":null,"venue":null,"work_id":"edbe994b-86ae-4f5d-aeca-ea734915de0a","year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.592704Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:8ff768cb024022312701cb5ac3fc555e5ed7c1fcc1e3570c73e0e0500f4ebc2e","observation_id":"9717afc7-3c77-4908-a724-ea70a58bb54d","resolution":{"observed_at":"2026-08-06T21:26:21.024461Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.690410Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.690410Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:a6fd314ff31e9bc71630832421862059bbcc0e743af1702247276985c96787b7","observation_id":"37e5b32c-0b0a-458b-bf88-5f4bccd2f3ec","resolution":{"observed_at":"2026-08-06T21:26:11.690410Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.721654Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.721654Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:71e7dad0e3a0ff4b66597ff2f28834634153a7ba06f220b7193481cd5818157a","observation_id":"992cb4e4-54c8-4a00-9241-7717092c9949","resolution":{"observed_at":"2026-08-06T21:26:11.721654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.755165Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.755165Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:1263da93a8b9131c7a07a31a469c1a0e6a714ef53ff210d27145345ca3c51943","observation_id":"1f53365a-7c26-49a2-bf78-b77f7dc69cfe","resolution":{"observed_at":"2026-08-06T21:26:11.755165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:11.859700Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.859700Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:2f826499444b75a7f47ee3ae683cc11fadf4885529407f3ef4de2d08b9e5d996","observation_id":"31e4f0fe-6408-4901-a4fa-3dd54f803c56","resolution":{"observed_at":"2026-08-06T21:26:11.859700Z","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":"10.18653/v1/2024.findings-acl.832","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:17.880294Z","title":null,"venue":null,"work_id":"49169f09-5266-4968-b042-46f1db9cc46b","year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:11.928647Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:ba0bb6fb3dc8a76e16086156209423704faf438eefbf154de9c405af18c8915b","observation_id":"7e446e46-6f90-4274-814b-eb1a91f60065","resolution":{"observed_at":"2026-08-06T21:26:17.999329Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17944","last_updated":"2024-06-21T19:59:54Z","snapshot_observed_at":"2026-07-06T17:36:32.068270Z","submitted_at":"2024-02-27T23:59:01Z","title":"Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17944","snapshot_observed_at":"2026-08-06T21:26:12.008026Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.008026Z"},"links":{"cited_paper":"/paper/2402.17944","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:30529603a63550033b5e6f10270454b37bf4bf4ca9e6bacb5f842ba72f4ddef2","observation_id":"54ab65fa-164d-45b7-a65b-cf2ad72e55f3","resolution":{"observed_at":"2026-08-06T21:26:12.008026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00208","last_updated":"2024-10-13T21:05:31Z","snapshot_observed_at":"2026-08-07T14:00:54.767580Z","submitted_at":"2024-04-30T21:20:17Z","title":"A Primer on the Inner Workings of Transformer-based Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00208","snapshot_observed_at":"2026-08-06T21:26:12.059928Z","title":"Costa-jussà","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.059928Z"},"links":{"cited_paper":"/paper/2405.00208","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:142738a213b4a953241958f53798ed1f01a48f482614e63aafa4484147c15752","observation_id":"969dbf6a-d78c-4991-b7cc-d00e476c2663","resolution":{"observed_at":"2026-08-06T21:26:12.059928Z","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":"2026-08-06T21:26:21.011867Z","title":null,"venue":null,"work_id":"8f69dfe1-8003-486a-9c40-46b8fbf21f56","year":2018},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.106714Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:8c7c5ebd3461412bc25b0eaf0872d2559d401d17b0ae582db0c4e7b756aa8ac2","observation_id":"df2e0762-9b65-417b-8642-11b3d1c88cec","resolution":{"observed_at":"2026-08-06T21:26:21.015032Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:12.185321Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.185321Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:f1ce869e06fbe8925f721e55e327ba7a93e594fe687f42ec5f3b516fc0332a5d","observation_id":"340fe21c-e89d-4c64-a519-791383750a34","resolution":{"observed_at":"2026-08-06T21:26:12.185321Z","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":"10.18653/v1/2020.coling-main.179","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:17.733393Z","title":null,"venue":null,"work_id":"afa89459-3569-48b3-a5e3-822d7f06b242","year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.233018Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:e1807da0536b582b0641f3a9fe8a41435e29f8f2f2811fc7af4eaf46a468cc7a","observation_id":"006e1252-eb0c-4b77-b0f6-84141e466f82","resolution":{"observed_at":"2026-08-06T21:26:17.788323Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:26:20.968420Z","title":null,"venue":null,"work_id":"87810a26-c27f-4cc1-9e39-676bcffea70a","year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.312045Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:de27402866e43c6172a96d348cdbd59b118fde3339af00114e5d320570d96b89","observation_id":"98969b62-4189-4363-ad08-5739cefcdb9e","resolution":{"observed_at":"2026-08-06T21:26:21.005643Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T21:26:12.385018Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.385018Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:3fb3e944b56c7a125da34043796b38bf9a81f3e3f1c907fa4ce2d289d0cecadc","observation_id":"8ffc0b6c-3caf-487a-8807-6c45661ec4cf","resolution":{"observed_at":"2026-08-06T21:26:12.385018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:12.455837Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.455837Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:e07cb261153c006e868946f0a70f87b8beddf6b7c4610f87194e9ea95c027837","observation_id":"bf1aabe4-a790-43ed-acf1-3abe2075320d","resolution":{"observed_at":"2026-08-06T21:26:12.455837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17824","last_updated":"2024-01-31T13:35:07Z","snapshot_observed_at":"2026-08-06T03:28:27.449885Z","submitted_at":"2024-01-31T13:35:07Z","title":"A Survey of Pre-trained Language Models for Processing Scientific Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17824","snapshot_observed_at":"2026-08-06T21:26:12.528207Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.528207Z"},"links":{"cited_paper":"/paper/2401.17824","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:a94e575980e086ef2581a591d0efd4aa6ec1e4419a58ca9e38278c4b4440518b","observation_id":"b596eeb0-4b58-44bf-8422-a3d798e8e072","resolution":{"observed_at":"2026-08-06T21:26:12.528207Z","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":"10.1007/s11837-021-04902-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:17.603128Z","title":null,"venue":null,"work_id":"598a70f0-c2d5-4bbd-93a6-ec2bcba48c9b","year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.613817Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:7d36d664b930266536e67f03c21b26e045f4d7f76ea1da8efbed9b5ca9a3b6c7","observation_id":"f5522e65-2fb0-4104-8cf5-cf7786808948","resolution":{"observed_at":"2026-08-06T21:26:17.653367Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:12.703858Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.703858Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:078fbff37d9da3b68427f9e4a13720c5195a8bce682491dc0103b706ad7d2a5c","observation_id":"b2697ca2-ecfd-42d7-9ffd-d8224a64f845","resolution":{"observed_at":"2026-08-06T21:26:12.703858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12637","last_updated":"2024-08-22T17:47:24Z","snapshot_observed_at":"2026-07-06T19:04:47.884694Z","submitted_at":"2024-08-22T17:47:24Z","title":"Building and better understanding vision-language models: insights and future directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12637","snapshot_observed_at":"2026-08-06T21:26:12.795081Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.795081Z"},"links":{"cited_paper":"/paper/2408.12637","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:f512512547d32b016d6016fd29508e80ba417493cb9354116a47452bb39ad830","observation_id":"8251c337-49a0-4d1b-ba3b-3da9da9008f3","resolution":{"observed_at":"2026-08-06T21:26:12.795081Z","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":"2026-08-06T21:26:20.767213Z","title":null,"venue":null,"work_id":"05cfe7ed-842b-438f-96b2-0242eaf3ccac","year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.918014Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:ddd6ae74c59237ff1d6fa6377a80e14753c37b020221086e130f71a05660d336","observation_id":"0aba66c3-1e3b-4891-a8bb-76df858ce69e","resolution":{"observed_at":"2026-08-06T21:26:20.837430Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:12.971375Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:12.971375Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:9e7af1b9b5e6bc87dc13a1ea352e5d8125e81d464ceae6a0e7d0286afd4d92e2","observation_id":"bf995ab3-08ab-4d23-b4fe-b67e78eee55e","resolution":{"observed_at":"2026-08-06T21:26:12.971375Z","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":"2026-08-06T21:26:20.530386Z","title":null,"venue":null,"work_id":"e976778f-1ce9-4188-863a-c64a876db0b3","year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.037343Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:a5e6af1833b3c273daca5a2db10a38fe0176e069aa840f690492477f32597c8d","observation_id":"cd5a8dd0-99ec-4971-bf5b-64b1e84184a5","resolution":{"observed_at":"2026-08-06T21:26:20.613142Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:26:20.343857Z","title":null,"venue":null,"work_id":"e089555e-e7b2-4787-9309-7a89a9cf7087","year":2022},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.117330Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:4d595689e6edc04476834a7a8ce80fd54a46d94c1008f5bc91d0c8cd73df86f4","observation_id":"9f0a7adc-c807-4e56-a2e0-ab28afe88de0","resolution":{"observed_at":"2026-08-06T21:26:20.410604Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:26:20.175645Z","title":null,"venue":null,"work_id":"8983bf28-292d-4cbc-b1d0-669a96d5a505","year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.217267Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:914f19f8cd141683190f1c63690eaf4d2ab811aef3351da7209d3c219ddd6bb1","observation_id":"284a9c28-6bc3-4ef0-b629-1c34d0aa69db","resolution":{"observed_at":"2026-08-06T21:26:20.248902Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:13.283634Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.283634Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:fe61f04b005368ff8132a4f9b50ed03d46e129bda0fd4e07e85d14586fdfe2bb","observation_id":"ab7f5b27-163f-4309-b942-37d90bbf8678","resolution":{"observed_at":"2026-08-06T21:26:13.283634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.12386","last_updated":"2025-06-28T18:26:11Z","snapshot_observed_at":"2026-07-06T20:08:12.033767Z","submitted_at":"2024-12-16T22:44:31Z","title":"Interpretable LLM-based Table Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.12386","snapshot_observed_at":"2026-08-06T21:26:13.388248Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.388248Z"},"links":{"cited_paper":"/paper/2412.12386","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:9c25436626626ae115be281f1505a3cd094331e5eba478b51e2311bc86241294","observation_id":"3913443d-f098-43c1-bbf8-ef0f1d189b05","resolution":{"observed_at":"2026-08-06T21:26:13.388248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T21:26:13.475657Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.475657Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:be0a72904ba4d5a624931055bd3c6d2dcec55fdf3025866cff54a305623d70cc","observation_id":"2ec7460d-5b50-4ae5-af66-6139f4f9597e","resolution":{"observed_at":"2026-08-06T21:26:13.475657Z","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":"2026-08-06T21:26:19.974437Z","title":"Alfonso Ure \\ n a-L \\'o pez, Eugenio Mart \\'i nez C \\'a mara, and Jose Camacho-Collados","venue":null,"work_id":"e4b69f82-501c-482c-b198-4945d6cf2190","year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.573707Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:a09faa1caf8d325c7ecf51b3fb5b9b5f5ec8cb5f499b506990a2bc67f2056d57","observation_id":"b2a1eef7-af46-4beb-bda4-f3593cd205ab","resolution":{"observed_at":"2026-08-06T21:26:20.019996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.findings-acl.82","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:17.451672Z","title":null,"venue":null,"work_id":"a1162de4-0a14-4e56-aa89-9cb1ca3455a3","year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.636882Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:18ba7341338314bf88c255ad9cdd0889907c9bb44985a24b836791d9bd61c3ca","observation_id":"ff342c6c-ace7-406c-a8c9-3d66ffc7732d","resolution":{"observed_at":"2026-08-06T21:26:17.533786Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:13.724730Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.724730Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:059bac8d0425d0edd02970a28df707bbe75d2c7415f29ce66568f5b5b29a1481","observation_id":"58f2ace4-9582-4d98-8a00-38279a50af58","resolution":{"observed_at":"2026-08-06T21:26:13.724730Z","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":"2026-08-06T21:26:19.815750Z","title":null,"venue":null,"work_id":"67b5f845-85b6-4e51-b5a0-ffb7c69e80f4","year":2025},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.794014Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:0157e085428749f103c45d2e3510caee1dee4009eb95de14e54fe160d11e4503","observation_id":"e48bf024-883f-4a43-bd18-4d6a93997cad","resolution":{"observed_at":"2026-08-06T21:26:19.886890Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:13.864045Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.864045Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:eb50bdafc6d914aa1111b79856864371ada5b9e83bf14bf2d0bb929110db092a","observation_id":"48c9982b-2cfb-4828-9026-34b481335fc4","resolution":{"observed_at":"2026-08-06T21:26:13.864045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:13.951241Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:13.951241Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:7630b2f8e7b51fd519de8ac3606f20a75ac1fbe29e5fbb4b073d0e6f06d5660d","observation_id":"92e9b19e-1c13-4478-bb15-135e52f92d09","resolution":{"observed_at":"2026-08-06T21:26:13.951241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:14.041104Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.041104Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:6698a531a4185f916551ccfce245afd4bf61d2e0ace0bf3d56dee8511640ffde","observation_id":"1465d82f-162a-447c-98c2-1b879f159981","resolution":{"observed_at":"2026-08-06T21:26:14.041104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-06T21:26:14.125704Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.125704Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:1273f2bd893516a54089f6185c1a4f703aedeac196df34e3f9f39d515f4520d9","observation_id":"21058482-749d-4c76-9737-6f144ea7019a","resolution":{"observed_at":"2026-08-06T21:26:14.125704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:14.202430Z","title":"Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad, Sadman Sakib, Most Marufatul Jannat Mim, Jubaer Ahmad, Mohammed Eunus Ali, and Sami Azam","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.202430Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:b7b075d12e9e6467d624265d7ae3a34f187d21c7d7b212b0d57d25b2bc0f9b36","observation_id":"cec30e20-87a3-4248-b98b-2c2571c07fa4","resolution":{"observed_at":"2026-08-06T21:26:14.202430Z","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":"10.18653/v1/2022.findings-acl.85","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:17.298056Z","title":"o nnqvist, Aki-Juhani Kyr \\","venue":null,"work_id":"5efb93c9-8a66-4d82-a0d3-06acc7e79578","year":2022},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.279857Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:ef360d3ba1b82235aad02f896f48fe11dd3454c586e0cf5121e77d7fa6383eda","observation_id":"f871bcf6-8f63-4e73-adda-7e912b0b297b","resolution":{"observed_at":"2026-08-06T21:26:17.373318Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:14.375114Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.375114Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:61a5d262cb0067b9bcb07f2c95f264a03bc612a95d25250494267e59a8c86877","observation_id":"e4b71962-dcd8-4ac3-95c3-96af8506bb49","resolution":{"observed_at":"2026-08-06T21:26:14.375114Z","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":"2026-08-06T21:26:19.638384Z","title":null,"venue":null,"work_id":"68da3521-afd2-4541-ae93-4591a4f07309","year":2023},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.472568Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:899757bff9d976aa5f808b4fdf3f469d3b376475461246e58f27a981e1cd6f28","observation_id":"1e0abf62-31bc-4c6f-8ae9-0fdc2035137e","resolution":{"observed_at":"2026-08-06T21:26:19.769302Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:14.509614Z","title":"Howcroft, Ondrej Platek, and Adarsa Sivaprasad","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.509614Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:c7107ad3d2db35bdb69c362954f84dd45b7c70747b94ac04c71e4097eed17cde","observation_id":"35b0c424-8b76-414b-900f-81b123b4f830","resolution":{"observed_at":"2026-08-06T21:26:14.509614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:14.580029Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.580029Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:0ba9ed43d729788a2070bf4ef9b2cd002c722b50612912d09a1bbf9cf32dcc4b","observation_id":"1724f0d5-abb4-4728-91cc-2b1d99646ef5","resolution":{"observed_at":"2026-08-06T21:26:14.580029Z","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":"2026-08-06T21:26:19.389440Z","title":null,"venue":null,"work_id":"c1f7b9b1-1db1-487e-9bfe-94a9385b164d","year":2017},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.662380Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:166c3ade7a5fb5e8a58cf919fe1a38609f9a566aaf3eb0307d0c4d2bb43f056b","observation_id":"427014c7-c49d-41a1-985d-dae5a331cefc","resolution":{"observed_at":"2026-08-06T21:26:19.507489Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6034","last_updated":"2014-04-19T11:54:52Z","snapshot_observed_at":"2026-07-06T03:31:30.452356Z","submitted_at":"2013-12-20T16:45:54Z","title":"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6034","snapshot_observed_at":"2026-08-06T21:26:14.745099Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.745099Z"},"links":{"cited_paper":"/paper/1312.6034","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:d55872d02d241729418a5118e33defaabf6d6102027e8df34e39bc1064ab2061","observation_id":"51f6085e-6804-4826-8c9e-309b243a0f56","resolution":{"observed_at":"2026-08-06T21:26:14.745099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10358","last_updated":"2023-10-16T12:51:24Z","snapshot_observed_at":"2026-07-06T16:33:43.626746Z","submitted_at":"2023-10-16T12:51:24Z","title":"Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10358","snapshot_observed_at":"2026-08-06T21:26:14.856955Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.856955Z"},"links":{"cited_paper":"/paper/2310.10358","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:99c091ddaad00c012f7508aea39e91b34c3cc57c972c3ad87d43fb45911ce0d7","observation_id":"d4c0e185-d6b7-4c11-8635-216272cbf42c","resolution":{"observed_at":"2026-08-06T21:26:14.856955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:14.931292Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:14.931292Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:bb4f4231b4aae04dd6c5a14b7a7119e503112a1521db0d5d423a7d26ee824e2b","observation_id":"c5274c72-801c-4b66-9372-b838d0d993c2","resolution":{"observed_at":"2026-08-06T21:26:14.931292Z","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":"10.18653/v1/2021.acl-long.115","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:17.172524Z","title":null,"venue":null,"work_id":"331ce274-e86a-42cc-b603-a20238d0a8e8","year":2021},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.014766Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:1f1a930111d3748106a72204c3e983bb3ba4efe52756f9a5b29afc4af474a8d6","observation_id":"2cbd91d3-5ca4-4386-80af-93f541f558a5","resolution":{"observed_at":"2026-08-06T21:26:17.228462Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:15.099720Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.099720Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:0b52af7911fddc9615317d806ce23fce386b2019ec2fe244abd0a8667de9e4b6","observation_id":"06ff0c41-998a-465f-97fe-1c262e719275","resolution":{"observed_at":"2026-08-06T21:26:15.099720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-06T21:26:15.189866Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.189866Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:9fafa762ba4001670a912d74b9280d23e49a6ce3fdaf5a2d988a13fb661efc9b","observation_id":"09a62396-317b-43f3-a358-6e3790d56082","resolution":{"observed_at":"2026-08-06T21:26:15.189866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07498","last_updated":"2024-04-11T06:22:56Z","snapshot_observed_at":"2026-07-06T17:58:39.485508Z","submitted_at":"2024-04-11T06:22:56Z","title":"Interactive Prompt Debugging with Sequence Salience","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07498","snapshot_observed_at":"2026-08-06T21:26:15.284199Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.284199Z"},"links":{"cited_paper":"/paper/2404.07498","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:e2a5b3f2b7cd63db9811ce3ed43838817ce50ada56c43079e6f4eac0a0cd8bcd","observation_id":"74dd9216-73dd-4ab4-b2a8-eb0149c865c6","resolution":{"observed_at":"2026-08-06T21:26:15.284199Z","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":"2026-08-06T21:26:19.234414Z","title":"Gomez, ukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"d0c0bc01-3fdc-42bb-aced-2c646babbbba","year":2017},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.397045Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:ce5a8c52a11d5d037209c9d198c5ed300ee0402f3b0eaeadba2735730441a80c","observation_id":"01f193a2-739d-49e1-9bfe-7bf0a11cb03f","resolution":{"observed_at":"2026-08-06T21:26:19.302885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18839","last_updated":"2024-09-27T15:35:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-27T15:35:15Z","title":"MinerU: An Open-Source Solution for Precise Document Content Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18839","snapshot_observed_at":"2026-08-06T21:26:15.482005Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.482005Z"},"links":{"cited_paper":"/paper/2409.18839","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:12eac4c7afaf97a5ec09091a3acffb6195c265de99dc2a515b6448022eb85b1e","observation_id":"4eee70cd-07c6-4cb8-a53f-4e31c6775dde","resolution":{"observed_at":"2026-08-06T21:26:15.482005Z","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":"10.18653/v1/2024.findings-acl.746","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:17.053908Z","title":null,"venue":null,"work_id":"970f35d9-1644-4da2-a0ce-d7ea81aeca6e","year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.589057Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:ce3b46ee401b7d68f185e7c5492b15264d08d13b76a5c449887789605a5bfc55","observation_id":"158e1590-63e4-4cf3-9e2d-3c44aaecb9a9","resolution":{"observed_at":"2026-08-06T21:26:17.101358Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09174","last_updated":"2025-03-18T07:13:18Z","snapshot_observed_at":"2026-08-02T11:40:55.318442Z","submitted_at":"2024-08-17T11:40:10Z","title":"TableBench: A Comprehensive and Complex Benchmark for Table Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09174","snapshot_observed_at":"2026-08-06T21:26:15.676130Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.676130Z"},"links":{"cited_paper":"/paper/2408.09174","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:1b1ed14a2670b316d293760a8f3a7d02c271f8b6545ea2c8c982c425235f0d1a","observation_id":"e915f242-9d39-41a5-a54b-f2c438c77076","resolution":{"observed_at":"2026-08-06T21:26:15.676130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13042","last_updated":"2025-02-25T16:41:36Z","snapshot_observed_at":"2026-08-03T20:45:06.097232Z","submitted_at":"2025-01-22T17:44:01Z","title":"Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.13042","snapshot_observed_at":"2026-08-06T21:26:15.761797Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.761797Z"},"links":{"cited_paper":"/paper/2501.13042","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:64d4936d5799a767b4741f08867ad15e7b19057f1c179d449d220f45d58853c9","observation_id":"439faf5f-64bb-41f9-aba5-ad4b3982ccb2","resolution":{"observed_at":"2026-08-06T21:26:15.761797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:15.857911Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.857911Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:4c59d47f229235d28feb7f732fea89b510b94b1f503dec3dd0aaf53efa7b28a2","observation_id":"401df641-9f9d-4091-aea0-ef5e08193574","resolution":{"observed_at":"2026-08-06T21:26:15.857911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:15.902694Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.902694Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:71da9a736e95690bd8c1f68065e5f40888a69caf6cb61d3e6b11feb50d39c870","observation_id":"9306a5d4-05cb-4a65-9792-0c8b21aa331b","resolution":{"observed_at":"2026-08-06T21:26:15.902694Z","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":"10.1145/3372117","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:16.883716Z","title":null,"venue":null,"work_id":"666505ce-815a-4469-a048-c217f43f132b","year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:15.995320Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:7790501b4348025bbe1ceb97991b33599962cf1736febb084ee768224b0c117d","observation_id":"86ea8054-875f-422f-8273-676b32764ffc","resolution":{"observed_at":"2026-08-06T21:26:16.935074Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:16.065905Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.065905Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:ac934eb5c408b20772fc41a53eccac84ddf888807a0788c363d2be5fa29ab341","observation_id":"bbe7ce2d-d506-45d7-befc-56bc3cc7b9dc","resolution":{"observed_at":"2026-08-06T21:26:16.065905Z","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":"2026-08-06T21:26:19.041716Z","title":"Weinberger, and Yoav Artzi","venue":null,"work_id":"945c164c-bf1c-49d7-9fc8-0075e231e4fb","year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.145524Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:7e8c142c05e3dbeda5975bac6049f5ea3e2473b426a6aa86f51c211c34023e58","observation_id":"d1fa9215-1bd3-4c43-a304-1ecb77af6fa6","resolution":{"observed_at":"2026-08-06T21:26:19.115054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19318","last_updated":"2025-02-17T13:45:00Z","snapshot_observed_at":"2026-07-06T17:52:30.328601Z","submitted_at":"2024-03-28T11:21:12Z","title":"TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19318","snapshot_observed_at":"2026-08-06T21:26:16.231105Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.231105Z"},"links":{"cited_paper":"/paper/2403.19318","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:d21382ef3b535597821ea09568b89acfa6a4c3b510056c38cf5278cf224271a8","observation_id":"ed5e7d90-80a7-4d5a-8371-5330a5e1d0bc","resolution":{"observed_at":"2026-08-06T21:26:16.231105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08841","last_updated":"2024-08-27T06:23:45Z","snapshot_observed_at":"2026-07-06T19:01:36.868186Z","submitted_at":"2024-08-16T17:00:11Z","title":"FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats","version":2},"cited_work":{"arxiv_id":"2408.08841","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.08841","snapshot_observed_at":"2026-08-06T21:26:18.264648Z","title":"FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats","venue":"cs.CL","work_id":"78461375-a0c6-42be-9149-12a41203fc0b","year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.311063Z"},"links":{"cited_paper":"/paper/2408.08841","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:df323b847f686cdd4dfa3c7a617876be6a6cc095f4feb445b2b0d0b442484e29","observation_id":"29722fa3-27d4-490a-8d29-baf0e5f1aa09","resolution":{"observed_at":"2026-08-06T21:26:18.345812Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.emnlp-main.914","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:16.769280Z","title":null,"venue":null,"work_id":"59422555-662a-40e5-b171-50465b715df0","year":2023},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.376547Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:79d318789b11d617231bf5aa52535959ff1f2bef08cba838c91ed021d3efa007","observation_id":"f32a9475-f0b7-4507-aa19-de5d3d46f4f1","resolution":{"observed_at":"2026-08-06T21:26:16.822631Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:16.442039Z","title":"Meyer, and Steffen Eger","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.442039Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:d391fcea169971bd747f4c2d7eb34e9c2360b968c2c92ec772fd7514beedd481","observation_id":"4bd56d99-d618-4ddb-ab93-9d1859cdb42f","resolution":{"observed_at":"2026-08-06T21:26:16.442039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01326","last_updated":"2024-10-11T14:38:40Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T13:54:05Z","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01326","snapshot_observed_at":"2026-08-06T21:26:16.545110Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.545110Z"},"links":{"cited_paper":"/paper/2406.01326","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:a3d68364534076ade3c498efc3c4118b614f098945483c81b81a01d2d551da20","observation_id":"55d4cc19-528d-4b84-a93f-19b11fcde73a","resolution":{"observed_at":"2026-08-06T21:26:16.545110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:16.609884Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.609884Z"},"links":{"citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:84751d78150a4af49b2a74cf26feec325794b46c53ba7729ca975efd9ddbbae1","observation_id":"6720a06e-d479-49d6-8bf0-3a199ccc9298","resolution":{"observed_at":"2026-08-06T21:26:16.609884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00589","last_updated":"2020-12-02T04:45:25Z","snapshot_observed_at":"2026-07-06T09:16:59.519524Z","submitted_at":"2020-05-01T20:14:49Z","title":"Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00589","snapshot_observed_at":"2026-08-06T21:26:16.669846Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.669846Z"},"links":{"cited_paper":"/paper/2005.00589","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:f7d897f69f916782e67a32d9e6858fac0c540043bb1738cc9f86c5a741153535","observation_id":"b4890cfd-0f6b-4d4c-a11a-0b269020c6e9","resolution":{"observed_at":"2026-08-06T21:26:16.669846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T17:23:34.575589Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":61,"verified_exact":11,"verified_fuzzy":3},"total_outbound_references":75},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2507.00152."}