{"as_of":"2026-08-17T06:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6a3a5894d036d04f4ebea1153f0a69d9442f1aa3d77f33829fe803b96ef525e","coverage":[{"denominator":143,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:48:57.717856Z","state":"measured"},{"denominator":101,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":101,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-14T12:25:17.901772Z","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":"2026-08-14T12:25:18.833207Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"cited_work":{"arxiv_id":"2608.04071","doi":null,"metadata_source":"pith","pith_arxiv_id":"2608.04071","snapshot_observed_at":"2026-08-14T12:25:18.833207Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","venue":"cs.AI","work_id":"b336208d-2403-4493-9176-27580765c19c","year":2026},"citing_paper":{"arxiv_id":"2608.13384","last_updated":"2026-08-13T15:46:20Z","snapshot_observed_at":"2026-08-16T23:12:52.107243Z","submitted_at":"2026-08-13T15:46:20Z","title":"Structure then Query: Enabling Precise Analytical Queries over Unstructured Documents","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:25:17.901772Z"},"links":{"cited_paper":"/paper/2608.04071","citing_paper":"/paper/2608.13384"},"observation_digest":"sha256:8600f4d8b172c654228104cacedfc054a4f73c0528aaa29e03a15013c8c93ec0","observation_id":"0aac4dcc-e112-4401-abee-757bcc45f770","resolution":{"observed_at":"2026-08-14T12:25:18.838997Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2608.04071/citation-record","integrity":"/paper/2608.04071/integrity","json":"/paper/2608.04071/citation-record.json","paper":"/paper/2608.04071"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:48:57.254903Z","title":"Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.254903Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:c9295eb00a55d82766eb178f4ab9072a8ce1fec83a41b86b40e3d068e7028249","observation_id":"08c0b7dc-5e99-450a-a551-638b760ae056","resolution":{"observed_at":"2026-08-15T14:48:57.254903Z","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":"2026-08-15T14:48:57.260978Z","title":"Classification Problem Solving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.260978Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:b2253c34c982a900026dee8ff4752737baa0714f17e6aa1855b509c9386d0ade","observation_id":"224b4bc8-76b9-47d3-8cc6-cbfe3b147a38","resolution":{"observed_at":"2026-08-15T14:48:57.260978Z","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":"2026-08-15T14:48:57.265737Z","title":", title =","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.265737Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:3b2b351137ffdaa28ddfeacf7a6448be55a161d3eb26c3db80683e8ca3fa2091","observation_id":"96e262f7-4ce4-40a8-8b2c-24eabefc2a42","resolution":{"observed_at":"2026-08-15T14:48:57.265737Z","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":"2026-08-15T14:48:57.271513Z","title":"New Ways to Make Microcircuits Smaller---Duplicate Entry","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.271513Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:b25f7b6cabb22e6216e440c0a29a72627def82b7195d9dd84b27d8bc40e3a0f1","observation_id":"62d9115f-3989-4df5-8914-0c78a558e467","resolution":{"observed_at":"2026-08-15T14:48:57.271513Z","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":"2026-08-15T14:48:57.276282Z","title":"Clancey and Glenn Rennels , abstract =","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.276282Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:43d58c53b13ee7cec6e238f84a36f079c344ae170a0f8b09473cbe5bc53c1b02","observation_id":"28151e9f-28ae-48f9-918e-14b6bcfa7d95","resolution":{"observed_at":"2026-08-15T14:48:57.276282Z","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":"2026-08-15T14:48:57.280731Z","title":"and Rennels, Glenn R","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.280731Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:b210804b33542a23662db9b767ea7d8196946329093549c9e24994e7144ed405","observation_id":"58005b44-1f5a-4416-b8ff-352defd33520","resolution":{"observed_at":"2026-08-15T14:48:57.280731Z","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":"2026-08-15T14:48:57.284844Z","title":"Poligon: A System for Parallel Problem Solving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.284844Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:3e1bca890827715cecc7b5ded7b125d9d7bc59ba74e91fe57246a3daf6318a29","observation_id":"fb1e5842-f26f-44ce-9a0a-c4ca3e56e92e","resolution":{"observed_at":"2026-08-15T14:48:57.284844Z","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":"2026-08-15T14:48:57.288872Z","title":"Transfer of Rule-Based Expertise through a Tutorial Dialogue","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.288872Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:bf054b51b1b792d965e1e5f22e5909a0821db21a21879a4a02288bd37bee8722","observation_id":"e62b9dc7-5de6-4d8c-88bd-9172fd8617ce","resolution":{"observed_at":"2026-08-15T14:48:57.288872Z","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":"2026-08-15T14:48:57.293503Z","title":"The Engineering of Qualitative Models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.293503Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:5b9e9d08c2a5042c7ecf6b0bc7b453f8fabc7aecb9ff33b2138373b2d259612f","observation_id":"05001ed7-3285-4075-8d74-a808654d140b","resolution":{"observed_at":"2026-08-15T14:48:57.293503Z","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":"2026-08-15T14:48:57.297600Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.297600Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:773cc543253caa1b9d69993bfe95c7391b565f21aa3817c1d45823aae7f5e66a","observation_id":"bd7663a7-6d21-46f7-88f4-5e4fa36d86f7","resolution":{"observed_at":"2026-08-15T14:48:57.297600Z","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":"2026-08-15T14:48:57.301787Z","title":"Pluto: The 'Other' Red Planet","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.301787Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:ccc7e5109d11bf00f104feab19142958c1d935a8b3641d72f39a39907d89de93","observation_id":"bc15472b-9811-454d-ae74-d350627d3a76","resolution":{"observed_at":"2026-08-15T14:48:57.301787Z","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":"2026-08-15T14:48:57.306345Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.306345Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:07989b924e2bda79bc1f1e9b24c51d1e227ad426d39ae42a9bc11cde3b255c2f","observation_id":"7280fa0f-0ce1-4b32-86ea-a5fa8fc59393","resolution":{"observed_at":"2026-08-15T14:48:57.306345Z","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":"2026-08-15T14:48:57.311354Z","title":"2025 , note =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.311354Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:5b18f7bf4c805af3002f833feba4a972628eff433f5b5fecb6434f064454c790","observation_id":"91d32869-17ab-4442-a0e9-4de97fccad10","resolution":{"observed_at":"2026-08-15T14:48:57.311354Z","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":"2026-08-15T14:48:57.315931Z","title":"2025 , note =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.315931Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:4aa1082e27288ec7b42d25931642f2f0f822e225d218cde50db1d31293185d2a","observation_id":"4805e0e2-32f9-4c86-b946-322635ba6353","resolution":{"observed_at":"2026-08-15T14:48:57.315931Z","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":"2026-08-15T14:48:57.321379Z","title":"2025 , note =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.321379Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:95b5e02784599b30f8a4a6ac23eec9dcaf1848550384ede481591112eea94572","observation_id":"5f6c599f-b52f-4e21-b9c7-c1aea7f75d0a","resolution":{"observed_at":"2026-08-15T14:48:57.321379Z","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":"2026-08-15T14:48:57.326312Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.326312Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:ff2b7dc9214ee4bb2e2a67d9fd0d7080ee07bbfb0523b8dda1d04fa652fd6738","observation_id":"842d36d2-8268-44d6-96cf-e8bf7cda0044","resolution":{"observed_at":"2026-08-15T14:48:57.326312Z","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":"2026-08-15T14:48:57.331813Z","title":"2025 , note =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.331813Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:eacb9ce6aa2b67a0f43d8acc430c59e3dffbf1b51cd98f125acc3ccb3b390c61","observation_id":"d45168f4-2e93-4f81-9f8b-58f4e62a78db","resolution":{"observed_at":"2026-08-15T14:48:57.331813Z","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":"2026-08-15T14:48:57.336400Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.336400Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:9f65a3672b5084b42803f4efaa464072e86a7a588d51590394d0dbe22041a906","observation_id":"5382f63e-113d-4206-a6f7-303b1ef0f6ed","resolution":{"observed_at":"2026-08-15T14:48:57.336400Z","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":"2026-08-15T14:48:57.340833Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.340833Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:d3e775e9e77b0475813de07f9fa323bb472622b3c8772b050515c2d121c5e90c","observation_id":"059407e5-549c-4cd6-8337-a986a4c236c2","resolution":{"observed_at":"2026-08-15T14:48:57.340833Z","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":"2026-08-15T14:48:57.345364Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.345364Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:d91c1f82e69a7a7aa20dea7c2a5a62cc46bec68dd23676fc4714426b94b89dbe","observation_id":"84ca3437-bbb5-4520-9177-89ca72a3ad2f","resolution":{"observed_at":"2026-08-15T14:48:57.345364Z","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":"10.1609/aaai.v40i40.40734","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:48:58.021659Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , author=","venue":null,"work_id":"22518916-32be-4b0a-b0ae-1ae3da39a1ba","year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.350104Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:4bf35d0ab509d3d6c277e72cde21ad6df017928a11c6fd46570a3b34b3c3d1e7","observation_id":"f2e60b51-2221-4d77-bb31-0cb9e2e2ef3c","resolution":{"observed_at":"2026-08-15T14:48:58.026318Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:48:57.354625Z","title":"One Token to Fool","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.354625Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:ff926f06101be289b15d0b4f8c52f9cf7cf0dda1236b28be96460fd59fc72bd3","observation_id":"6317d442-2c91-46f3-9a1c-ea39d6837ad9","resolution":{"observed_at":"2026-08-15T14:48:57.354625Z","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":"2026-08-15T14:48:57.359592Z","title":"Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.359592Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:1af99c984f71034fcfb39ea5f4c6bd1a5c0987353a43e68b51fca18518a03e0b","observation_id":"406eb693-94cc-4e73-b57a-3b458408c9d0","resolution":{"observed_at":"2026-08-15T14:48:57.359592Z","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":"2026-08-15T14:48:57.364415Z","title":"Bandit Based Monte-Carlo Planning","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.364415Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:ffee6d4266e8f077bac6ce56bb3e8d30d48370410d51ae5956dc8b250644b633","observation_id":"687ee639-62ed-42ea-b3f8-159ebde4b7b0","resolution":{"observed_at":"2026-08-15T14:48:57.364415Z","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":"2026-08-15T14:48:57.368849Z","title":"Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.368849Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:ef281fa07fa5043dca0fd9aaeca6c839c70de63d49395f694e6b7ef6d8f1f354","observation_id":"d79a85a9-74c3-4a06-9d41-28e946a22edc","resolution":{"observed_at":"2026-08-15T14:48:57.368849Z","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":"2026-08-15T14:48:57.373188Z","title":"arXiv preprint arXiv:2504.00050 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.373188Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:c9ed6dbc8f58587e16bb01ff8a3981e92934b1177d1d02a9742bf7dbf244bcd7","observation_id":"3b50d444-d28b-481d-9fad-6944aa6129a8","resolution":{"observed_at":"2026-08-15T14:48:57.373188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.13326","last_updated":"2025-06-16T10:15:38Z","snapshot_observed_at":"2026-08-16T14:56:26.541168Z","submitted_at":"2025-06-16T10:15:38Z","title":"VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.13326","snapshot_observed_at":"2026-08-15T14:48:57.377282Z","title":"arXiv preprint arXiv:2506.13326 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.377282Z"},"links":{"cited_paper":"/paper/2506.13326","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:65631b489cabf8db7477f2b81e6c52e176e86c37e3232820c77ef692235322f7","observation_id":"d15945c7-78f2-4878-b964-00b04307ceb8","resolution":{"observed_at":"2026-08-15T14:48:57.377282Z","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":"2026-08-15T14:48:57.381644Z","title":"arXiv preprint arXiv:2505.02387 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.381644Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:8b0f5c9396029b3e9b8fe0ae607d4999b2318cf5462ebacbd86a26d3734a6d25","observation_id":"5b61248e-68be-43a2-b640-13777c24ed64","resolution":{"observed_at":"2026-08-15T14:48:57.381644Z","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":"2026-08-15T14:48:57.385497Z","title":"IEEE Transactions on Visualization and Computer Graphics , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.385497Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:f5cd1b5302c7aa920cd52ef49bb8d1ef4885be29b379267211a307f9c84dd30e","observation_id":"d4ce1cb8-2b61-42e2-bfaf-16934b67818f","resolution":{"observed_at":"2026-08-15T14:48:57.385497Z","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":"2026-08-15T14:48:57.390145Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.390145Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:8156ddf2fb30e66b9133dc68b905a4a77f65906fa7a2aef4b2e7ec3cca5fd917","observation_id":"5efc572c-06d6-45be-8e0a-84b7683bcb67","resolution":{"observed_at":"2026-08-15T14:48:57.390145Z","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":"2026-08-15T14:48:57.394910Z","title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.394910Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:398c9b2cc13c7fcea9e39b113412bbdc3744243b390e7a5ae42226cc2b407c65","observation_id":"74a0adf7-7329-4878-bf66-9240c748cb82","resolution":{"observed_at":"2026-08-15T14:48:57.394910Z","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":"2026-08-15T14:48:57.399688Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.399688Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:65efd4f566d3a68d257e9ff21b152f7dbf383c8ba61b1090887c9f747192e9f1","observation_id":"ac65e043-0283-4680-b6b1-2a4987f06353","resolution":{"observed_at":"2026-08-15T14:48:57.399688Z","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":"2026-08-15T14:48:57.404524Z","title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.404524Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:06c92bf6352477c8be64cfb6ee718ae8e45667e726e4723d9c4f0c9fd3e8d3f2","observation_id":"6e3805c2-579e-47ea-919e-9c076d1f4aaf","resolution":{"observed_at":"2026-08-15T14:48:57.404524Z","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":"2026-08-15T14:48:57.409583Z","title":"Proceedings of the 2018 conference on empirical methods in natural language processing , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.409583Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:e1ed77bf5ad1344d5985eb3d214531b66e8dc3e94145be03aa34dcf44fe05f43","observation_id":"69043ab5-e4a2-478d-aba2-8468f900f054","resolution":{"observed_at":"2026-08-15T14:48:57.409583Z","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":"2026-08-15T14:48:57.414326Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.414326Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:7e34f26c973e8a7da9e48b9137ffe75651c00991cf9a068a628db555ed96bfbc","observation_id":"d5fe745a-8eab-4018-b1c7-abfbdb5228eb","resolution":{"observed_at":"2026-08-15T14:48:57.414326Z","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":"2026-08-15T14:48:57.419246Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.419246Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:3e424f4865641279b4c74a974a1506cdc605d9d6aaf37f151dab69d6bbcb26b9","observation_id":"d6d6c588-d7d2-4131-bb58-a05cb20fd7c4","resolution":{"observed_at":"2026-08-15T14:48:57.419246Z","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":"2026-08-15T14:48:57.424438Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.424438Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:0e9dc8db6d386d15d166dc32316bad1db440fd7141d2582973196f1ae5ed6645","observation_id":"6cb62cc3-2251-4c1f-b531-b57e2720e792","resolution":{"observed_at":"2026-08-15T14:48:57.424438Z","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":"2026-08-15T14:48:57.430005Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.430005Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:55f349e3a3bad13a8022a5395e6e32c4d71dd8ebb3fdb4761143fa08bf3e3c4c","observation_id":"e40e50f4-ede3-4caa-97a4-9f94010e0929","resolution":{"observed_at":"2026-08-15T14:48:57.430005Z","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/v1/2025.emnlp-main.1141","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:48:58.006820Z","title":"T 2 R - BENCH : A Benchmark for Real World Table-to-Report Task","venue":null,"work_id":"c2d5e9ad-4b0c-45b6-b882-e81fc049b8b1","year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.434508Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:95070e3cc4311c1685655b9a241775d29bf13f8ea13d3de175c1cd56a9f492e3","observation_id":"4f00d54e-7c19-4930-bd8f-376a655cb520","resolution":{"observed_at":"2026-08-15T14:48:58.011641Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:48:57.439592Z","title":"The Fourteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.439592Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:5e00d96c7bc276f3b978bc13580e32937feb89dcdd45e0e463923c85bb2f934e","observation_id":"76b4a33a-3f78-4ddb-8b81-d25a62d6920f","resolution":{"observed_at":"2026-08-15T14:48:57.439592Z","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":"2026-08-15T14:48:57.444411Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.444411Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:75e1acc0732cd68f3dc20fa8b9d632bd40e55542433fd1c01451584bc0a1a5ce","observation_id":"06ab7a62-5d30-4ee3-88f2-a41106301f0e","resolution":{"observed_at":"2026-08-15T14:48:57.444411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.00103","last_updated":"2017-11-09T23:06:14Z","snapshot_observed_at":"2026-08-16T12:20:26.377960Z","submitted_at":"2017-08-31T23:12:15Z","title":"Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.00103","snapshot_observed_at":"2026-08-15T14:48:57.449332Z","title":"arXiv preprint arXiv:1709.00103 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.449332Z"},"links":{"cited_paper":"/paper/1709.00103","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:94af7f0975f3503916df9bdec0da31fb9644b97bb403ad7605b254b85dcf53df","observation_id":"6509cc06-0cbe-4bc7-8906-be9b702db100","resolution":{"observed_at":"2026-08-15T14:48:57.449332Z","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":"2026-08-15T14:48:57.454198Z","title":"Transactions of the Association for Computational Linguistics , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.454198Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:b42e0cbeebfb02a87fa3910037a6e80345c3061fc1f4444cbc22008cdf908bcc","observation_id":"045ec957-a4f6-458b-8769-1d06cc471eeb","resolution":{"observed_at":"2026-08-15T14:48:57.454198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06659","last_updated":"2026-06-08T06:46:00Z","snapshot_observed_at":"2026-08-16T08:19:52.782653Z","submitted_at":"2025-01-11T23:07:04Z","title":"Visual Template Inference for Data Extraction from Documents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.06659","snapshot_observed_at":"2026-08-15T14:48:57.458647Z","title":"arXiv preprint arXiv:2501.06659 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.458647Z"},"links":{"cited_paper":"/paper/2501.06659","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:668e11d4d1b4e905f17dff6b3706f50a211c1c742da8bc5c090d0e9eb63ea6a2","observation_id":"dd37d466-793a-40c2-bf12-0d2f9c9bd3a4","resolution":{"observed_at":"2026-08-15T14:48:57.458647Z","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":"2026-08-15T14:48:57.463358Z","title":"and Pratap, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.463358Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:796bbeb6fae59d1523feaf1b9aa56e579a15f28d215c1de1f3cf36e547fb02af","observation_id":"a8263d6b-d8ba-4a71-a05a-34946520b251","resolution":{"observed_at":"2026-08-15T14:48:57.463358Z","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":"2026-08-15T14:48:57.467455Z","title":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.467455Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:7033789647b58aefa524b9e886824066de764af57725beb9eb2b26485faefda0","observation_id":"f875558b-e4a9-4792-b70a-deaef04e1386","resolution":{"observed_at":"2026-08-15T14:48:57.467455Z","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":"2026-08-15T14:48:57.471889Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.471889Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:dbe3e60cf0fdc7cf6491b08877a066a7066c3cae54cf057c71bbb42fee60246a","observation_id":"e3edb59d-e00b-4bac-9535-73350700af79","resolution":{"observed_at":"2026-08-15T14:48:57.471889Z","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":"2026-08-15T14:48:57.476567Z","title":"OpenAI Embedding model , howpublished =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.476567Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:b0596143953cdb3b644445eb289c7fec77b4f796d953df8ab7026a6df8a60bb6","observation_id":"8415c871-bd0a-4204-a8df-ba914cbfb699","resolution":{"observed_at":"2026-08-15T14:48:57.476567Z","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":"2026-08-15T14:48:57.481974Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.481974Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:2ee57f3e3917497f6412e8f379924e08aececd63fd7f54a9f4d6aeb022efaf46","observation_id":"cb90c23e-ac38-485f-bc70-c63b0f93c635","resolution":{"observed_at":"2026-08-15T14:48:57.481974Z","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":"2026-08-15T14:48:57.486495Z","title":"GL i NER 2: Schema-Driven Multi-Task Learning for Structured Information Extraction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.486495Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:da596449835cad24899c7aacb9a75a79e36768c41510ac8bdf0457faae24e106","observation_id":"23053f6d-63c4-48ee-b47b-ed1d17ffe75e","resolution":{"observed_at":"2026-08-15T14:48:57.486495Z","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":"2026-08-15T14:48:57.491945Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.491945Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:a67b04d22821a9c89a213ce1953927b998526e502c225d3847c6686ae40e7ac0","observation_id":"a1d4f53f-4d4d-4ce6-85e9-09d0c0cbc2a7","resolution":{"observed_at":"2026-08-15T14:48:57.491945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.04292","last_updated":"2025-12-03T22:11:45Z","snapshot_observed_at":"2026-08-12T23:24:17.086095Z","submitted_at":"2025-12-03T22:11:45Z","title":"SQuARE: Structured Query & Adaptive Retrieval Engine For Tabular Formats","version":1},"cited_work":{"arxiv_id":"2512.04292","doi":null,"metadata_source":"pith","pith_arxiv_id":"2512.04292","snapshot_observed_at":"2026-08-15T14:48:58.720484Z","title":"SQuARE: Structured Query & Adaptive Retrieval Engine For Tabular Formats","venue":"cs.CL","work_id":"850ddae2-b7b3-45ac-ac35-b7a9dd8ad84f","year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.496617Z"},"links":{"cited_paper":"/paper/2512.04292","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:8bd1d873405711aab3037522894bd5c7c85c3b289cb1bf2d97f5b8cef0a363c9","observation_id":"ed5afc62-2b98-4be3-80e6-4849c72f6303","resolution":{"observed_at":"2026-08-15T14:48:58.725518Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:48:57.501850Z","title":"arXiv preprint arXiv:2509.19757 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.501850Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:4b09f2e8f0fac513962c3686b49cde2504304469094b41d29d010aa39975ddab","observation_id":"681d9668-1575-4f71-92cb-f48296881cb8","resolution":{"observed_at":"2026-08-15T14:48:57.501850Z","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":"2026-08-15T14:48:57.506669Z","title":"Proceedings of the VLDB Endowment , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.506669Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:4330646c466f127297e2a18de22d6703c1de642fdf7ff4539d4fc281dcc4e59c","observation_id":"507a924b-bf2c-42bc-91a7-cbeff72082c8","resolution":{"observed_at":"2026-08-15T14:48:57.506669Z","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":"2026-08-15T14:48:57.512160Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.512160Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:d49db1ffbcb0b9774f7a6f3424a0d7f6558313a874d931efc3c4315d7d3cfe50","observation_id":"1a42db51-7d19-416e-8174-43f8d7513071","resolution":{"observed_at":"2026-08-15T14:48:57.512160Z","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/v1/2025.emnlp-main.1629","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:48:57.983018Z","title":"SQU i D : Synthesizing Relational Databases from Unstructured Text","venue":null,"work_id":"b8bdb664-8c32-4d13-930e-74623793cd61","year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.516746Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:a39b178a872298ea9c60f114176fc97fde349728639fbd9867fb22ff4ff459ad","observation_id":"2f1ed274-b44f-466f-a379-077603059713","resolution":{"observed_at":"2026-08-15T14:48:57.988483Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23628","last_updated":"2025-08-01T06:39:45Z","snapshot_observed_at":"2026-08-14T18:56:29.304736Z","submitted_at":"2025-05-29T16:34:58Z","title":"AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23628","snapshot_observed_at":"2026-08-15T14:48:57.521813Z","title":"arXiv preprint arXiv:2505.23628 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.521813Z"},"links":{"cited_paper":"/paper/2505.23628","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:387dd87092c2aecc6d96dbd847c182c61c42c799c81d958fec6d78dc5e08d017","observation_id":"2c257aed-1892-4e68-b48a-4a9ded146de8","resolution":{"observed_at":"2026-08-15T14:48:57.521813Z","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":"2026-08-15T14:48:57.526937Z","title":"Proceedings of the VLDB Endowment , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.526937Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:6c39b924837dc05042551c8dfed763de2fd7abb6719ad317f650d1eb40e0fd28","observation_id":"4a79f708-cdbf-4d8a-811e-451ff4a1e7f5","resolution":{"observed_at":"2026-08-15T14:48:57.526937Z","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":"2026-08-15T14:48:57.531552Z","title":"Proceedings of the VLDB Endowment , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.531552Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:73cb76bf8036f78f508e9e9199d1c0bbbdd5fabcad151154bb2ce0e4632220f9","observation_id":"7d3af1e2-8d67-4eaf-9461-ca2f5c154d53","resolution":{"observed_at":"2026-08-15T14:48:57.531552Z","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":"2026-08-15T14:48:57.535724Z","title":"Proceedings of the VLDB Endowment , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.535724Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:584ceabbd4e536b786c38368534b5db6d05349a44fe22899f249cb51b144c440","observation_id":"0bcf0342-bc94-477c-bcb0-9ef1bfd944b6","resolution":{"observed_at":"2026-08-15T14:48:57.535724Z","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":"2026-08-15T14:48:57.540435Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.540435Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:917ec0611ba45f527263a176cf6b7fecc37aaa4ebb2c2c8a0ea2e86c442c5dab","observation_id":"1890bcb8-6e4b-4391-a88c-5a2b29539ec0","resolution":{"observed_at":"2026-08-15T14:48:57.540435Z","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":"2026-08-15T14:48:57.544748Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.544748Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:969fa5e4655a2566b4c77c45469333c3fdafbf6039a5564d617adc2fd5ea1e7d","observation_id":"cbfde9b6-3e13-4877-b2ed-0d8d38e449ea","resolution":{"observed_at":"2026-08-15T14:48:57.544748Z","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":"2026-08-15T14:48:57.549206Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.549206Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:43fe94056399acc09855a96de61f83cdbc10ed0a0622f250468ffd54d3c800a4","observation_id":"fba88aa2-27ea-4fdc-a17d-0d93bc4f704f","resolution":{"observed_at":"2026-08-15T14:48:57.549206Z","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":"2026-08-15T14:48:57.553505Z","title":"CoRR , volume =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.553505Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:80e61dc2991f8e225f893956e3f9e6e15f6f594c01d9bc1fcc89e800714cbec2","observation_id":"1fd9b773-173a-445a-9b7f-22990b95f864","resolution":{"observed_at":"2026-08-15T14:48:57.553505Z","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":"2026-08-15T14:48:57.558808Z","title":"CoRR , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.558808Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:84e15e6212f062788578ebec013c61dc7c4b6312bff5ead02c19f428cd421d9f","observation_id":"f56efca7-4499-4734-a53f-bdd666d785e6","resolution":{"observed_at":"2026-08-15T14:48:57.558808Z","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":"2026-08-15T14:48:57.563362Z","title":"Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Heterogeneous Sources , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.563362Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:ce8be59a076bb2e1b6a8cb0e5899b97ca81976e5cdd6d155aed6a0ef54de24fd","observation_id":"b665fd15-72af-4f2c-a51d-c1c79daeb29a","resolution":{"observed_at":"2026-08-15T14:48:57.563362Z","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":"2026-08-15T14:48:57.567784Z","title":"Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases , year=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.567784Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:85c4b436f7c357e2fbd4ec0ac6bca0cc1987f4fecb16e432b7fba45e8494d437","observation_id":"c4cce2ef-9211-41b0-9f03-7eac6293f326","resolution":{"observed_at":"2026-08-15T14:48:57.567784Z","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":"2026-08-15T14:48:57.572075Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.572075Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:776073a12a0cf708b941dbc902852ae1f2edc091e00a5a8bce33b056db6a5420","observation_id":"7db9df3f-b438-4c6b-837d-f9585f333302","resolution":{"observed_at":"2026-08-15T14:48:57.572075Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-15T14:48:57.576296Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.576296Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:792246368f7d3353374a68d8c4f99bd08f1072cb264fb3b31eccbd8d911abda1","observation_id":"ecee52df-3e3e-4355-b017-9b276fe89ce8","resolution":{"observed_at":"2026-08-15T14:48:57.576296Z","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":"2026-08-15T14:48:57.580552Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.580552Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:e623b0c5551901f39df5f98a1842857f85c833544b6eea8dd67c8f836bad6840","observation_id":"3fba5afb-b220-4ca5-9a47-b532798fbc87","resolution":{"observed_at":"2026-08-15T14:48:57.580552Z","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":"2026-08-15T14:48:57.584743Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.584743Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:a8304814c40ba85961d45e84b48d191ee1fa59de809dc2e9fe68e0ef804b1530","observation_id":"20285c6d-7c04-4091-a670-051d0d84c10f","resolution":{"observed_at":"2026-08-15T14:48:57.584743Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12189","last_updated":"2025-04-01T19:47:19Z","snapshot_observed_at":"2026-08-16T13:08:58.241198Z","submitted_at":"2024-10-16T03:22:35Z","title":"DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12189","snapshot_observed_at":"2026-08-15T14:48:57.588846Z","title":"arXiv preprint arXiv:2410.12189 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.588846Z"},"links":{"cited_paper":"/paper/2410.12189","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:fe24423b4cdb0e8f3d32aa72bf10cc2dfd628bcf1dce27810d7ad317863274b0","observation_id":"6bebf975-9039-4d1b-b74e-6a37a95fa9d4","resolution":{"observed_at":"2026-08-15T14:48:57.588846Z","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":"2026-08-15T14:48:57.593928Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.593928Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:34b45e10712c61a2846c5ed132e6fb29e5641fe25838c0cce8274e2a74db40f4","observation_id":"3c618bf4-cd8d-4189-a904-ae149de19416","resolution":{"observed_at":"2026-08-15T14:48:57.593928Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-15T14:48:57.598107Z","title":"Proceedings of the Conference on Innovative Database Research (CIDR) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.598107Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:a989ddc7f631ef3dc3905782bb3fb9dcdb5271e73634851315302a503c075965","observation_id":"0d1efb6b-c626-4dd2-a7f5-952a0a918ba8","resolution":{"observed_at":"2026-08-15T14:48:57.598107Z","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":"2026-08-15T14:48:57.602242Z","title":"LEXA: Towards Automatic Legal Citation Classification","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.602242Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:7243401b928fa9eec14e59b0898f118c7f9c51c5c3854f2d9c08245455180d00","observation_id":"94bf73bf-1165-41b3-b116-f70b07d7207d","resolution":{"observed_at":"2026-08-15T14:48:57.602242Z","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":"2026-08-15T14:48:57.606610Z","title":"Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.606610Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:bac06b294fc78ad38e2d78a15410eb13b32866d6c4daccd5083708422016848c","observation_id":"f6eb7ebe-b3ad-4999-8ac0-4567f79dee75","resolution":{"observed_at":"2026-08-15T14:48:57.606610Z","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":"2026-08-15T14:48:57.610825Z","title":"and Wu, Eugene , booktitle=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.610825Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:6bb591403968b58db0a059fb94372a8c2a69f6d0f05a115390e2a3c1a00e3bfd","observation_id":"ef8591bd-2070-4fb7-b30c-61aef5b84a28","resolution":{"observed_at":"2026-08-15T14:48:57.610825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14696","last_updated":"2024-05-29T15:27:07Z","snapshot_observed_at":"2026-08-16T13:50:08.439767Z","submitted_at":"2024-05-23T15:31:18Z","title":"A Declarative System for Optimizing AI Workloads","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14696","snapshot_observed_at":"2026-08-15T14:48:57.615165Z","title":"arXiv preprint arXiv:2405.14696 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.615165Z"},"links":{"cited_paper":"/paper/2405.14696","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:d5b879570f8ab20c258205af13489003f9063da340051476699942a67167edd4","observation_id":"15cb4e23-8154-47f8-ba80-6145d0746b34","resolution":{"observed_at":"2026-08-15T14:48:57.615165Z","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":"2026-08-15T14:48:57.619895Z","title":"Proceedings of the VLDB Endowment , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.619895Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:081424778900683526aad67216e7bf8b56e11e880b908b69dfda058ab120ff09","observation_id":"bd4c30ed-b62f-4494-8b7d-e4e725bc5d9a","resolution":{"observed_at":"2026-08-15T14:48:57.619895Z","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":"2026-08-15T14:48:57.624442Z","title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.624442Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:ebe6cca2f85d312d8c3318858a680dd6171a564c2bf0f4d2e715641a868b6852","observation_id":"7aa1c877-aa49-4da3-ae84-ab61a6b35140","resolution":{"observed_at":"2026-08-15T14:48:57.624442Z","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":"2026-08-15T14:48:57.628942Z","title":", author=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.628942Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:3ed8bb0b633a07dbd51da628c1c44b04f3395b98c4fd8ff13eb69d80e0985f6e","observation_id":"e5287bb8-73de-4072-b4df-3504a5a619cf","resolution":{"observed_at":"2026-08-15T14:48:57.628942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03424","last_updated":"2023-08-07T09:20:32Z","snapshot_observed_at":"2026-08-16T15:10:20.630457Z","submitted_at":"2023-08-07T09:20:32Z","title":"CAESURA: Language Models as Multi-Modal Query Planners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03424","snapshot_observed_at":"2026-08-15T14:48:57.633368Z","title":"arXiv preprint arXiv:2308.03424 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.633368Z"},"links":{"cited_paper":"/paper/2308.03424","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:e5d6d8749efb026df7bc5a707178d8c9a65bdaf32b01481451fa6be14abc972a","observation_id":"cb2a0c9f-ed62-4408-a4eb-cb661060caf7","resolution":{"observed_at":"2026-08-15T14:48:57.633368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03963","last_updated":"2024-11-17T07:23:40Z","snapshot_observed_at":"2026-08-16T13:54:50.997386Z","submitted_at":"2024-05-07T02:49:59Z","title":"ERATTA: Extreme RAG for Table To Answers with Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03963","snapshot_observed_at":"2026-08-15T14:48:57.638037Z","title":"arXiv preprint arXiv:2405.03963 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.638037Z"},"links":{"cited_paper":"/paper/2405.03963","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:6b5cf0b8fda4cb8d088fb9604a1eb9232c74faf3f18c3467f461f6d303f5cc3d","observation_id":"bbe82ff8-d895-42fe-94f3-c8280f53e66f","resolution":{"observed_at":"2026-08-15T14:48:57.638037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18677","last_updated":"2024-05-20T15:37:36Z","snapshot_observed_at":"2026-08-16T14:38:46.729665Z","submitted_at":"2023-11-30T16:24:42Z","title":"Splitwise: Efficient generative LLM inference using phase splitting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.18677","snapshot_observed_at":"2026-08-15T14:48:57.642589Z","title":"arXiv preprint arXiv:2311.18677 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.642589Z"},"links":{"cited_paper":"/paper/2311.18677","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:32d08c841837ef633e40bfcf889296ddf4e371d8420e5ff027ffa8c3a8253dee","observation_id":"5d9db999-8d5a-4938-b5f1-54a110a84448","resolution":{"observed_at":"2026-08-15T14:48:57.642589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13121","last_updated":"2024-06-19T00:28:58Z","snapshot_observed_at":"2026-08-16T13:41:39.545574Z","submitted_at":"2024-06-19T00:28:58Z","title":"Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13121","snapshot_observed_at":"2026-08-15T14:48:57.647338Z","title":"arXiv preprint arXiv:2406.13121 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.647338Z"},"links":{"cited_paper":"/paper/2406.13121","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:96f35cc68e10e01bb2a5b7a34da5dbd659f1615c88b2b5c69d8f00ff8d3b2a09","observation_id":"443221c9-add1-43c0-83be-24d87d716407","resolution":{"observed_at":"2026-08-15T14:48:57.647338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11418","last_updated":"2025-03-01T01:47:51Z","snapshot_observed_at":"2026-08-16T13:33:54.457898Z","submitted_at":"2024-07-16T06:19:14Z","title":"Semantic Operators: A Declarative Model for Rich, AI-based Data Processing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.11418","snapshot_observed_at":"2026-08-15T14:48:57.652134Z","title":"arXiv preprint arXiv:2407.11418 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.652134Z"},"links":{"cited_paper":"/paper/2407.11418","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:e1cf65af207486218214517dd208dd00f26eaf5efcf571f66f5c00e2c90eb5a7","observation_id":"68e149e8-e0d3-45c8-b5ce-bcb1c31973db","resolution":{"observed_at":"2026-08-15T14:48:57.652134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-08-16T12:38:40.131901Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-08-15T14:48:57.657440Z","title":"arXiv preprint arXiv:2404.16130 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.657440Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:bfbab3789d287d600441a0106da6fd629a42b04b9b3b975864e88a5fba4984bd","observation_id":"ea12c95c-b646-412b-91d8-94c5a234fd91","resolution":{"observed_at":"2026-08-15T14:48:57.657440Z","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":"2026-08-15T14:48:57.662065Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.662065Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:fa8d2afe84b187c193b45b25ccdc0c687861f9d037b03726cf1cb73353c3e091","observation_id":"fd6a8df6-ea65-4f23-be12-99a68244549a","resolution":{"observed_at":"2026-08-15T14:48:57.662065Z","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":"2026-08-15T14:48:59.478354Z","title":"ACL 2022 , year=","venue":null,"work_id":"b4a684df-3ba3-4e95-86dc-0a5fd86bbca0","year":2022},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.666967Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:355195e59c3f05a57053340c24248495ddfc964784e908fd172d4fe932d3739d","observation_id":"e9f7ccbb-27ce-4dd6-b2ae-fd02de1dd96f","resolution":{"observed_at":"2026-08-15T14:48:59.482686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:48:59.463940Z","title":"IEEE Intelligent Systems , volume=","venue":null,"work_id":"3ede99ee-4fc1-48fc-aa3f-db32cca06940","year":2024},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.672412Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:c3dc919fcab8283ab3e71c9904d2fceebcfd5b24d754e5666b2725562595d2da","observation_id":"a36bbda2-8d6e-453f-ab8a-16c035b81e94","resolution":{"observed_at":"2026-08-15T14:48:59.468672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07478","last_updated":"2023-10-12T17:07:24Z","snapshot_observed_at":"2026-08-16T14:53:04.537900Z","submitted_at":"2023-10-11T13:25:03Z","title":"Multimodal Graph Learning for Generative Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07478","snapshot_observed_at":"2026-08-15T14:48:57.676837Z","title":"arXiv preprint arXiv:2310.07478 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.676837Z"},"links":{"cited_paper":"/paper/2310.07478","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:a423994869055931a9d7de12eb82c792d9070a063626c57ec8b3a9cef2faf629","observation_id":"861d88b9-5654-4a13-b1c6-81c3232b7951","resolution":{"observed_at":"2026-08-15T14:48:57.676837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05845","last_updated":"2023-10-09T16:42:00Z","snapshot_observed_at":"2026-08-16T14:53:45.330716Z","submitted_at":"2023-10-09T16:42:00Z","title":"GraphLLM: Boosting Graph Reasoning Ability of Large Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05845","snapshot_observed_at":"2026-08-15T14:48:57.681527Z","title":"arXiv preprint arXiv:2310.05845 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.681527Z"},"links":{"cited_paper":"/paper/2310.05845","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:999c4f7483baafff6213115d10fa17c91d32cd9061997ee8c7f7b65d2ed763fa","observation_id":"5f32e222-72e0-4023-8108-27ce062da107","resolution":{"observed_at":"2026-08-15T14:48:57.681527Z","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":"2026-08-15T14:48:57.686110Z","title":"ACM SIGKDD Explorations Newsletter , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.686110Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:75a13e57bd33aaa4ac06bfbe769894967139fb3f6267ae492d060c1c9cf2acf8","observation_id":"efb2dafb-34c0-4644-b433-7e8244f56a7a","resolution":{"observed_at":"2026-08-15T14:48:57.686110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09645","last_updated":"2023-10-23T07:51:23Z","snapshot_observed_at":"2026-08-16T15:32:35.196811Z","submitted_at":"2023-05-16T17:45:23Z","title":"StructGPT: A General Framework for Large Language Model to Reason over Structured Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09645","snapshot_observed_at":"2026-08-15T14:48:57.690388Z","title":"arXiv preprint arXiv:2305.09645 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.690388Z"},"links":{"cited_paper":"/paper/2305.09645","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:f90785a7752a4901538162cc99281b2aa44cf0ade74bcead6be94f4f677f2045","observation_id":"e556109e-5895-434e-b6e7-fb9c897455bc","resolution":{"observed_at":"2026-08-15T14:48:57.690388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04560","last_updated":"2023-10-06T19:55:21Z","snapshot_observed_at":"2026-08-16T14:54:21.677473Z","submitted_at":"2023-10-06T19:55:21Z","title":"Talk like a Graph: Encoding Graphs for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04560","snapshot_observed_at":"2026-08-15T14:48:57.695502Z","title":"arXiv preprint arXiv:2310.04560 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.695502Z"},"links":{"cited_paper":"/paper/2310.04560","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:58cf88047cebf27f121a9edfc053ceaa7e04dd908bbae738c4b78f89614a5d0e","observation_id":"fa26d53a-e4ec-45df-9169-0ef2af7473bb","resolution":{"observed_at":"2026-08-15T14:48:57.695502Z","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":"2026-08-15T14:48:57.700154Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.700154Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:099fe491ed7e166a095db6b71948815e1ad1177ffc69ba24296f4cab2908e2d8","observation_id":"99c25a79-fab6-42fc-94c5-bcd3fa0c5a98","resolution":{"observed_at":"2026-08-15T14:48:57.700154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07630","last_updated":"2024-05-27T04:04:40Z","snapshot_observed_at":"2026-08-16T14:19:21.784480Z","submitted_at":"2024-02-12T13:13:04Z","title":"G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07630","snapshot_observed_at":"2026-08-15T14:48:57.704595Z","title":"arXiv preprint arXiv:2402.07630 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.704595Z"},"links":{"cited_paper":"/paper/2402.07630","citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:7b46a615106db6f43248a8c73638cdca1977a2d3e63b063ef50b57d7d46c8194","observation_id":"fe239a53-0280-4cd4-9fea-08b31f028ff5","resolution":{"observed_at":"2026-08-15T14:48:57.704595Z","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":"2026-08-15T14:48:57.709180Z","title":"international semantic web conference , pages=","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.709180Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:c864c764c576ba5ce7068e9029ab14e7346d0f3ae24113abb287d0ccdacc92b8","observation_id":"b9f2a16c-b1c5-44b9-9f04-91b758a7bc79","resolution":{"observed_at":"2026-08-15T14:48:57.709180Z","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":"2026-08-15T14:48:57.713473Z","title":"Proceedings of the 16th international conference on World Wide Web , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.713473Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:aada6e61058a3252dcab5a84cda531a0fe379989c725ab1abcf52421f4424516","observation_id":"d655b29e-9240-4869-926f-dcc505681cb1","resolution":{"observed_at":"2026-08-15T14:48:57.713473Z","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":"2026-08-15T14:48:59.412972Z","title":"Theory and applications of ontology: computer applications , pages=","venue":null,"work_id":"e864e312-30cf-4c44-b014-baace7e05b6c","year":2010},"citing_paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-15T14:48:57.717856Z"},"links":{"citing_paper":"/paper/2608.04071"},"observation_digest":"sha256:6603baadd39959ca1274c87a96d261d46b9955c02312e73cb03907b613867ea1","observation_id":"34448333-2628-4fe1-b8f6-8774698c2fae","resolution":{"observed_at":"2026-08-15T14:48:59.417518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.04071","last_updated":"2026-08-04T15:52:05Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T23:05:05.011923Z","submitted_at":"2026-08-04T15:52:05Z","title":"Monte Carlo Tree Search for Table-to-Multimodal Report Generation"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":3,"unresolved":90,"verified_exact":3,"verified_fuzzy":3},"total_outbound_references":143},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 100 of 143 outbound references and 1 inbound Pith citation observation for arXiv:2608.04071."}