{"as_of":"2026-08-10T07:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7a732074edc52eb8e6e876ff89cceba864fd3fc55c78a6a8364b64f768338200","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T17:02:16.933864Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:48:16.404212Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00989","snapshot_observed_at":"2026-08-07T00:48:16.404212Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12594","last_updated":"2025-06-14T18:19:05Z","snapshot_observed_at":"2026-08-07T11:53:13.790399Z","submitted_at":"2025-06-14T18:19:05Z","title":"A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:16.404212Z"},"links":{"cited_paper":"/paper/2502.00989","citing_paper":"/paper/2506.12594"},"observation_digest":"sha256:77fcb476d31d6ccd1221b382079dfd88af68e2573ee2ca8e50c2914a7fca19a9","observation_id":"23fc902a-87a1-404a-a44a-ecdc155c1680","resolution":{"observed_at":"2026-08-07T00:48:16.404212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00989","snapshot_observed_at":"2026-08-02T01:31:52.415471Z","title":"Guo,X.;Kuang,J.;Pan,L.;Li,Y.;Li,Y.;Zheng,H.-T.;Shen, Y.; Yin, D.; and Sun, X","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14658","last_updated":"2026-07-16T07:22:59Z","snapshot_observed_at":"2026-08-09T18:12:06.608268Z","submitted_at":"2026-07-16T07:22:59Z","title":"TopoAgent: A Self-Evolving Topological Agent for Multimodal Scientific Reasoning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T01:31:52.415471Z"},"links":{"cited_paper":"/paper/2502.00989","citing_paper":"/paper/2607.14658"},"observation_digest":"sha256:faf8d06446b6e032544e10b2e6c112e3e8491d7d233fee408366615e4dde77ac","observation_id":"bed7ac0a-1897-4fcf-9ebe-c65ebeff83dd","resolution":{"observed_at":"2026-08-02T01:31:52.415471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.00989/citation-record","integrity":"/paper/2502.00989/integrity","json":"/paper/2502.00989/citation-record.json","paper":"/paper/2502.00989"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-09T17:02:16.826580Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.826580Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:38f45f5d2e89838515602933b31c209451c01d3fa347751583a1678c5c4f0d58","observation_id":"015a4e4d-8fbb-43bd-b63c-d6c0a1745f93","resolution":{"observed_at":"2026-08-09T17:02:16.826580Z","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":"2026-08-09T17:02:17.268591Z","title":null,"venue":null,"work_id":"a17a3700-4c87-4ace-ac94-c1aafa5d7eb2","year":2020},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.832398Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:95adf78e0691db7af307c3a01c384c9e50dbc182cc16a4812c91eee34c8dc4d4","observation_id":"1b5d6d38-b364-4ed6-9558-93d5ee402cf5","resolution":{"observed_at":"2026-08-09T17:02:17.273281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:02:17.253370Z","title":null,"venue":null,"work_id":"2c076115-b62a-4275-bd7d-31f341578152","year":null},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.836853Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:b5a51f8f0c90a7b9dd7cebdf072c3e81dcf0d430b4fd3c63e9b8f3d4550d716f","observation_id":"b3555f64-5c94-4aaf-8218-34e0a0bc1db6","resolution":{"observed_at":"2026-08-09T17:02:17.258420Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:02:16.846389Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.846389Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:e7f48e0e1b249b0885187fb3d8155446128bc146665ddb7bc904f8af45b7c98a","observation_id":"6fcd82f5-30c0-46e6-b236-09aac863ee46","resolution":{"observed_at":"2026-08-09T17:02:16.846389Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-09T17:02:16.851639Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.851639Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:b31fc44b2b084821139b240087c7d8bd85202026365df4c616d3217153d1f418","observation_id":"38875e65-3a59-4004-8805-cca326a52806","resolution":{"observed_at":"2026-08-09T17:02:16.851639Z","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":"2026-08-09T17:02:17.229553Z","title":null,"venue":null,"work_id":"15cfd29f-dc96-4ecf-936d-e1243e898abb","year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.857031Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:fef23a4bf2c01f99359c7df166dab5b327d62b7a285071dfac7b562dd81c0575","observation_id":"826da347-5c41-4f94-a091-3dcc479a4b6a","resolution":{"observed_at":"2026-08-09T17:02:17.233788Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:02:16.862232Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.862232Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:640a8ab53af9edfc99ffd5d05114901faafe8121b632c7ba2506b404b3de62e1","observation_id":"62250294-aff5-4587-97b5-ae8b66c64263","resolution":{"observed_at":"2026-08-09T17:02:16.862232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.16883","last_updated":"2023-07-31T17:49:18Z","snapshot_observed_at":"2026-08-05T00:07:31.362950Z","submitted_at":"2023-07-31T17:49:18Z","title":"HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.16883","snapshot_observed_at":"2026-08-09T17:02:16.866633Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.866633Z"},"links":{"cited_paper":"/paper/2307.16883","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:3be44c4350793cde6a46bb30060d5479358969ffe60e4d6687c1ecdc195f5b53","observation_id":"352b0f10-ad07-4b5a-829b-7ab6b539af60","resolution":{"observed_at":"2026-08-09T17:02:16.866633Z","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":"2026-08-09T17:02:17.205963Z","title":null,"venue":null,"work_id":"bfda5726-e142-4648-9d36-9a7690da414e","year":2024},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.871621Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:3f1f7652b028bb634cc04c1f3f2455db07ae12c72f2a0110f29f9fcf1c58a8e5","observation_id":"52f66e5a-ef47-4fb1-9c46-9a1c64cbe2bd","resolution":{"observed_at":"2026-08-09T17:02:17.210372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:02:17.191731Z","title":null,"venue":null,"work_id":"df98b058-af1b-47e7-bf1d-bf1f9ce80191","year":2024},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.876142Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:64630e179fe86c6e0575da5dcf8a8f47d1807b06f6cd91b8b6ef60caf6043e89","observation_id":"d52ca5a8-7197-41e8-a936-7a5ff7c0bae5","resolution":{"observed_at":"2026-08-09T17:02:17.196065Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18740","last_updated":"2024-06-26T20:12:24Z","snapshot_observed_at":"2026-07-06T18:37:39.282367Z","submitted_at":"2024-06-26T20:12:24Z","title":"Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18740","snapshot_observed_at":"2026-08-09T17:02:16.880939Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.880939Z"},"links":{"cited_paper":"/paper/2406.18740","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:45725d750ae5af82b2ad66a4663e104356ece2aef5ffee71b5549a39bd450946","observation_id":"f3795405-1c28-4365-a453-0d000cbb2ce9","resolution":{"observed_at":"2026-08-09T17:02:16.880939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14824","last_updated":"2023-07-13T05:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-26T16:32:47Z","title":"Kosmos-2: Grounding Multimodal Large Language Models to the World","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14824","snapshot_observed_at":"2026-08-09T17:02:16.885926Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.885926Z"},"links":{"cited_paper":"/paper/2306.14824","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:ebdd1334f19030f209a58c75860a7a32dafb5bcd2efd594b44552f795c4ca5a9","observation_id":"2d8bf09c-1e4f-48b1-83fa-3299296077ad","resolution":{"observed_at":"2026-08-09T17:02:16.885926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11366","last_updated":"2023-10-10T05:21:45Z","snapshot_observed_at":"2026-07-06T15:05:53.556198Z","submitted_at":"2023-03-20T18:08:50Z","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.11366","snapshot_observed_at":"2026-08-09T17:02:16.890899Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.890899Z"},"links":{"cited_paper":"/paper/2303.11366","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:cff329b26f800fdd90d709b93a8ed5c6d4e9fb604babe8734b960ebbe3b470b5","observation_id":"3f42ca63-1a00-49fa-b646-efddcd9ad6b7","resolution":{"observed_at":"2026-08-09T17:02:16.890899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14183","last_updated":"2024-08-22T07:01:29Z","snapshot_observed_at":"2026-08-09T09:35:08.499456Z","submitted_at":"2023-12-19T14:35:04Z","title":"On Early Detection of Hallucinations in Factual Question Answering","version":3},"cited_work":{"arxiv_id":"2312.14183","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.14183","snapshot_observed_at":"2026-08-09T17:02:17.049213Z","title":"On Early Detection of Hallucinations in Factual Question Answering","venue":"cs.CL","work_id":"2054ae64-bfa2-411f-b519-c343d731779f","year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.895603Z"},"links":{"cited_paper":"/paper/2312.14183","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:48199a2f4eec043fd107cece7435416070070485c9c834183a80d1cb3e51743a","observation_id":"3554cef1-280b-4873-b1d8-375fc1757061","resolution":{"observed_at":"2026-08-09T17:02:17.056560Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T17:02:16.900450Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.900450Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:e3727b148cd0ee2b9f9fa86c1e88a69598213072453d6e4bedfe126aa75cba26","observation_id":"f373acdc-cf64-490f-95ed-87ee04395ebd","resolution":{"observed_at":"2026-08-09T17:02:16.900450Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-09T17:02:16.906051Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.906051Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:d78e8ab9ac1d5803edbc1c9b9eca06d1e9cd787373997c3974fcb6a7936c8685","observation_id":"a7b9f691-2d4f-42f0-bfe3-c8158ffcc219","resolution":{"observed_at":"2026-08-09T17:02:16.906051Z","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":"2026-08-09T17:02:17.176705Z","title":null,"venue":null,"work_id":"312a9665-c9db-47ff-b8ad-3e5709c2e1b1","year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.910871Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:c1857b421ae09129e2405cd0e9f877ada037d22f91893653c9cda875dab90fa2","observation_id":"e4f5637b-f163-47e2-a8fa-6ad7d8648f56","resolution":{"observed_at":"2026-08-09T17:02:17.181425Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11903","last_updated":"2023-01-10T23:07:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-01-28T02:33:07Z","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11903","snapshot_observed_at":"2026-08-09T17:02:16.915625Z","title":"Xia, Quoc Le, and Denny Zhou","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.915625Z"},"links":{"cited_paper":"/paper/2201.11903","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:f4a3b2a2c5edbb5be4f4a86fcc07bc6aabb1916d1b51ff402b7d507bb3598b22","observation_id":"3e4893f6-ba37-4c3a-a48e-cdeabd3dbf84","resolution":{"observed_at":"2026-08-09T17:02:16.915625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11817","last_updated":"2025-02-13T08:11:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-22T10:26:14Z","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11817","snapshot_observed_at":"2026-08-09T17:02:16.920407Z","title":"Kankanhalli","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.920407Z"},"links":{"cited_paper":"/paper/2401.11817","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:4dc8420f6cf6a105270b2272bf55a03804d3fcfa3924dd802d519cc0851930f4","observation_id":"92ffa87d-4a43-4360-950e-f5b330fa0f38","resolution":{"observed_at":"2026-08-09T17:02:16.920407Z","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":"2026-08-09T17:02:16.924611Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.924611Z"},"links":{"citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:c81a8348e88eaaf4f1886b81391b11a6fa0acddb3146cf308e278cb84c0138a4","observation_id":"6a77335f-9675-4a3f-8d90-1938d5a26db1","resolution":{"observed_at":"2026-08-09T17:02:16.924611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11441","last_updated":"2023-11-06T07:39:49Z","snapshot_observed_at":"2026-08-04T03:29:49.409446Z","submitted_at":"2023-10-17T17:51:31Z","title":"Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11441","snapshot_observed_at":"2026-08-09T17:02:16.933864Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.933864Z"},"links":{"cited_paper":"/paper/2310.11441","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:b024b6c4693ebd6fddfd453e620cc09d4324cea67583f7223dbf4ec64292a730","observation_id":"c3353b14-46d3-4cc7-9d03-0cf3d6f0fe77","resolution":{"observed_at":"2026-08-09T17:02:16.933864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12153","last_updated":"2024-10-16T01:20:44Z","snapshot_observed_at":"2026-07-06T19:34:14.633116Z","submitted_at":"2024-10-16T01:20:44Z","title":"Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint Hierarchies","version":1},"cited_work":{"arxiv_id":"2410.12153","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.12153","snapshot_observed_at":"2026-08-09T17:02:17.133922Z","title":"Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint Hierarchies","venue":"cs.CL","work_id":"e66700fa-c91c-49dc-b291-956ff4e2df67","year":2024},"citing_paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-09T17:02:16.841481Z"},"links":{"cited_paper":"/paper/2410.12153","citing_paper":"/paper/2502.00989"},"observation_digest":"sha256:430f9c27c91ade0a18f2cf9ab3bdf4ba61d11bb928f7076c8dfbc3eee905c817","observation_id":"10796984-1912-4b45-a6d7-957624f0b5f0","resolution":{"observed_at":"2026-08-09T17:02:17.138985Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.00989","last_updated":"2025-02-03T02:00:51Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T16:56:02.596842Z","submitted_at":"2025-02-03T02:00:51Z","title":"ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":2,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":18,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2502.00989."}