{"as_of":"2026-08-07T09:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8b80965f40c523ec891ae5c0a07508e9296c981bef1a3e36e6999148d706c86f","coverage":[{"denominator":8,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T11:50:26.030339Z","state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-15T01:31:03.738527Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-15T01:33:27.271483Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"cited_work":{"arxiv_id":"2604.03393","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.03393","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","venue":"cs.AI","work_id":"de74cf88-9b0b-4822-894c-f02e918789e2","year":2026},"citing_paper":{"arxiv_id":"2605.14465","last_updated":"2026-05-14T07:00:26Z","snapshot_observed_at":"2026-08-03T18:28:07.146194Z","submitted_at":"2026-05-14T07:00:26Z","title":"From Table to Cell: Attention for Better Reasoning with TABALIGN","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-15T01:31:03.738527Z"},"links":{"cited_paper":"/paper/2604.03393","citing_paper":"/paper/2605.14465"},"observation_digest":"sha256:7e93ecd59b1268a9a6a7c092f4648f51761cecfd58722b7a353efe807aa9dd63","observation_id":"46241965-397b-4d81-b7a8-756231a11d1c","resolution":{"observed_at":"2026-05-15T01:33:27.273482Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2604.03393/citation-record","integrity":"/paper/2604.03393/integrity","json":"/paper/2604.03393/citation-record.json","paper":"/paper/2604.03393"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":"2507.06261","doi":"10.48550/arxiv.2503.19","metadata_source":"pith","pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-07-11T03:17:51.364436Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","venue":"cs.CL","work_id":"008df105-2fdd-45d8-857a-8e35868aecb6","year":2025},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:b06cb10e032abf19e588c8089fdaf16216aa9174757bbd0a67f8650785207aad","observation_id":"5b06a38b-a103-469e-80d3-d82557ca2cb4","resolution":{"observed_at":"2026-05-13T19:43:11.041340Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2407.21783","doi":"10.1016/s0749-0720(15","metadata_source":"pith","pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"The Llama 3 Herd of Models","venue":"cs.AI","work_id":"1549a635-88af-4ac1-acfe-51ae7bb53345","year":2024},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:c5d79723694f36a4f4c780d781552370d07c056070d35d0f0b2a7d43f0837fb7","observation_id":"b676d7d2-ddaa-4172-865e-33e5af2c1d28","resolution":{"observed_at":"2026-05-13T19:43:11.053910Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2406.09246","last_updated":"2024-09-05T19:46:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-13T15:46:55Z","title":"OpenVLA: An Open-Source Vision-Language-Action Model","version":3},"cited_work":{"arxiv_id":"2406.09246","doi":"10.18653/v1/2022.naacl-main.68","metadata_source":"pith","pith_arxiv_id":"2406.09246","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"OpenVLA: An Open-Source Vision-Language-Action Model","venue":"cs.RO","work_id":"3e7e65c5-5aed-4fe9-8414-2092bcb31cc7","year":2024},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/2406.09246","citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:e5bf9327ff889945c29985b40da9a1fa4ab1d0e67966fde44ea59cab5d00572f","observation_id":"4ba07e16-2ea0-45c6-8df5-5c959f21da1c","resolution":{"observed_at":"2026-05-13T19:43:11.036516Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/v1/2025.acl-long.748","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"URL https: //aclanthology.org/2025.acl-long.748/","venue":null,"work_id":"8fca26b0-61ea-42b2-a077-01a5ead4f78c","year":2025},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-13T19:42:18.123367Z"},"links":{"citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:dad7d3c235cd813f51f92a1eb29b3a03ed3e1341e9c6e7535ac55c80d40fb47a","observation_id":"acc2a58a-2b78-463d-9915-8348cb933a74","resolution":{"observed_at":"2026-05-13T19:43:11.026489Z","resolver_source":"doi","status":"metadata_mismatch"},"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.acl-long.551","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi: 10.18653/v1/2023.acl-long.551","venue":null,"work_id":"eb68ed93-b2c5-4b4a-8826-e84a11b753bf","year":2023},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-13T19:42:18.123367Z"},"links":{"citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:ba7e874bf0b954673cb2eacaa2f32210d89b9fc586e8fac99e87da6dbea7e906","observation_id":"16bcf84d-f678-4155-adea-220afbe6b519","resolution":{"observed_at":"2026-05-13T19:43:11.044840Z","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":"10.18653/v1/2021.acl-long.254","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance","venue":null,"work_id":"9c87694d-2f57-4e95-ae15-eed809971e31","year":2021},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T19:42:18.123367Z"},"links":{"citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:9573adc6708c0346f0a1e6d2e83875af9c263f3b50dce6afe373f87b9e2331e0","observation_id":"7a8ccf47-6d3b-4a60-9439-7ba1ee2ff843","resolution":{"observed_at":"2026-05-13T19:43:11.049185Z","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":"2026-05-25T21:53:24.99955+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T21:53:24.99955+00:00","source":"openalex_status_cache"},{"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":"2026-06-05T21:23:00.469572Z","title":"reasoning","venue":null,"work_id":"086102d3-54b7-45cc-ac90-ba6f5c565e8d","year":2024},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-13T19:42:18.123367Z"},"links":{"citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:a05cddc31a06d3d93e72ceea0ba5e305dbe4e02dd074fb269aa30244f4b78ac2","observation_id":"4e0a9fbb-7b6f-4e7c-9900-a24f2c7e873a","resolution":{"observed_at":"2026-05-13T19:43:11.793011Z","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":"3430.42930","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Col1\":\"val1","venue":null,"work_id":"a85bb3d7-797b-4b7b-b2e7-347e22c7d3d2","year":2026},"citing_paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T19:42:18.123367Z"},"links":{"citing_paper":"/paper/2604.03393"},"observation_digest":"sha256:165025bc7f6b67b5dd19badc02b3975a802f1fe8e10ae4e9d00c34572357ef81","observation_id":"e16473b3-b263-4883-afdc-f0eb9f6ecf19","resolution":{"observed_at":"2026-05-13T19:43:11.240613Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"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"}}],"paper":{"arxiv_id":"2604.03393","last_updated":"2026-04-03T18:52:11Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T22:52:34.609783Z","submitted_at":"2026-04-03T18:52:11Z","title":"TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering"},"reference_resolution":{"displayed":8,"state_counts":{"malformed_identifier":1,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":1},"total_outbound_references":8},"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 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2604.03393."}