{"as_of":"2026-08-05T22:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d02b7c72a2c6a27bc110fcaf82e5c2b571add14afc04b50101ea2687a2861a25","coverage":[{"denominator":84,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":84,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T00:19:52.480293Z","state":"measured"},{"denominator":85,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":85,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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":"2026-07-31T19:54:08.581414Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"cited_work":{"arxiv_id":"2605.02503","doi":"10.48550/arxiv.2605.02503","metadata_source":"pith","pith_arxiv_id":"2605.02503","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","venue":"cs.AI","work_id":"ddc1d9a5-39c4-4ec8-885b-b6c57255bfe1","year":2026},"citing_paper":{"arxiv_id":"2607.28033","last_updated":"2026-07-30T11:17:27Z","snapshot_observed_at":"2026-08-05T02:42:56.093326Z","submitted_at":"2026-07-30T11:17:27Z","title":"DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-31T19:54:08.581414Z"},"links":{"cited_paper":"/paper/2605.02503","citing_paper":"/paper/2607.28033"},"observation_digest":"sha256:3e01588ab7a8d5e31ed1d95d8cb963286084958bce23e640c90265ef055cf106","observation_id":"16fbe94d-6834-4913-8516-dd41752bc829","resolution":{"observed_at":"2026-07-31T19:56:36.534906Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2605.02503/citation-record","integrity":"/paper/2605.02503/integrity","json":"/paper/2605.02503/citation-record.json","paper":"/paper/2605.02503"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-04T15:46:25.710484Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":"2110.14168","doi":"10.1002/j.1545-","metadata_source":"pith","pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Training Verifiers to Solve Math Word Problems","venue":"cs.LG","work_id":"acab1aa8-b4d6-40e0-a3ee-25341701dca2","year":2021},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:25c178bd4d863cb36b09c5e6bfbb205869771a4cf9f44d1fb394dc539a95cb6f","observation_id":"4cbad571-055c-43c8-a467-b97ec3b5e244","resolution":{"observed_at":"2026-07-01T00:25:09.636199Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23719","last_updated":"2025-06-30T10:49:21Z","snapshot_observed_at":"2026-07-06T21:49:42.283940Z","submitted_at":"2025-06-30T10:49:21Z","title":"DABstep: Data Agent Benchmark for Multi-step Reasoning","version":1},"cited_work":{"arxiv_id":"2506.23719","doi":"10.48550/arxiv.2506.23719","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23719","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dabstep: Data agent benchmark for multi-step reasoning","venue":"ArXiv.org","work_id":"85862d27-eefc-4f5e-aa5d-26d6d6b7b24e","year":2025},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"cited_paper":"/paper/2506.23719","citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:f06519bbf17f059c935745df50f29fdf056da84693d764c12521472be832c4d3","observation_id":"ccecea1c-66f2-4f47-b2d0-bd498e94c771","resolution":{"observed_at":"2026-07-01T00:25:09.627139Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.541053Z","title":"Nicolaus Henke, Jacques Bughin, Michael Chui, James Manyika, Tamim Saleh, Bill Wiseman, and Guru Sethupathy","venue":null,"work_id":"6e22d5ec-9efd-4f08-bc3b-799339fce32e","year":2016},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:b37b5b12e7ab92f10f7091342e51b62f6c37c0dc2c777cd2344d29b788df873e","observation_id":"20cf6273-a0cc-4fe8-a205-028d22f3e35e","resolution":{"observed_at":"2026-07-07T08:53:29.542462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.948871Z","title":"Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, and Kang Liu","venue":null,"work_id":"3cc6d48c-f989-4ff4-98a8-fd5b0ffdc56d","year":2024},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:0378fc58a3f40eb28cf0b7baaa0040ddedfbdd2de7bb1945e0c0def2661f47bf","observation_id":"15878fa5-f26b-4482-9ffd-e71187c7518e","resolution":{"observed_at":"2026-07-07T08:53:32.950340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.838295Z","title":"InInternational Conference on Learning Representations, volume 2024, pages 39578–39601","venue":null,"work_id":"dd20b1ad-f288-4e63-9a29-68c31b7b29d5","year":2024},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:d96043dcb6d68d893858c802f07b966db6e2b0c517a4991c3a19c0b34f8cb00a","observation_id":"b21de8a1-8c9a-45ac-99d3-c81a6b5943b2","resolution":{"observed_at":"2026-07-07T09:03:28.839956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02024","last_updated":"2026-07-24T17:29:49Z","snapshot_observed_at":"2026-08-03T22:04:23.607765Z","submitted_at":"2025-05-04T08:24:00Z","title":"From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent","version":4},"cited_work":{"arxiv_id":"2505.02024","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.02024","snapshot_observed_at":"2026-07-27T02:21:03.069205Z","title":"Shen, M., Li, Y ., Chen, L., and Yang, Q","venue":null,"work_id":"52ba09b0-dde9-45fb-9763-ec9e4aed20ee","year":2025},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"cited_paper":"/paper/2505.02024","citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:fc22adbb4443f98fa0c033f61990a878b73e79d8a1ddc063f2e4bb0099b23590","observation_id":"1c430f03-e769-4828-bfe1-54a1c625db85","resolution":{"observed_at":"2026-07-27T02:21:03.069205Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.613677Z","title":"After technical team review, 131 valid questions are retained","venue":null,"work_id":"12155005-bb1c-47e6-8834-1f663c3e1e68","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:076fd92143e5dc873a3b3bceb9a7a5590cef545d1881b0cf7b32d4da4beb750a","observation_id":"4775252a-a953-416e-8240-3c250aeb8b43","resolution":{"observed_at":"2026-07-07T08:53:29.614837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.767967Z","title":"After the tech- nical staff deliver the annotation guidelines, the university team performs the annotation","venue":null,"work_id":"54217edf-ad7a-46b8-a7dc-1838b71a281e","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:0745ef491b6d6dac2fc5bec781cabdea4249bc75dfb72b38b0f2806190516c8e","observation_id":"afda7311-f473-4dbb-9a63-76933858afcd","resolution":{"observed_at":"2026-07-07T09:03:28.772093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.840544Z","title":"Only samples on which all agents reach unanimous agree- ment pass validation","venue":null,"work_id":"81224bf5-fb8c-4ce9-81fd-9e8e7ffe370b","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:0b766e61543e6c6b9add34e06a9ab0da8d11aca2edad7fd26c4f0c2a346ccdca","observation_id":"4fa9e7bc-94d2-46fc-8b05-70d2cf774b88","resolution":{"observed_at":"2026-07-07T09:03:28.842160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.615593Z","title":"You may use files under ./database/ and web search","venue":null,"work_id":"b8ceb40e-a0a5-47cb-929c-46551d38ab39","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:044f4d0def8e0dc5ab591bdcabb7c9ba3c5f23c086e41f84c9b184cebc71710b","observation_id":"aaab36e5-2457-4b9e-9284-7c61730f18f3","resolution":{"observed_at":"2026-07-07T08:53:29.617998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.947174Z","title":"A number appearing in an unrelated context does NOT count","venue":null,"work_id":"b87cb321-c9cb-4183-b96f-193f74144674","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:91472667aaf823b4d85d66401d555600ecbc3f61bf2376c7c1db527720ea41cf","observation_id":"6a514179-7d81-49f0-a29f-4b490141a8bd","resolution":{"observed_at":"2026-07-07T08:53:32.948325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.942004Z","title":"If a downstream milestone is correctly achieved, its upstream dependencies can be inferred as achieved","venue":null,"work_id":"9c986c0d-08c7-4acf-a967-0b7d446a7942","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:950889e706703fcddd148477c88f0118feeb46ff1918397ccbf9be445d7fc69c","observation_id":"b3caefb7-53e2-4840-8cbf-3c7a6373ee7a","resolution":{"observed_at":"2026-07-07T08:53:32.943209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.896536Z","title":"break point","venue":null,"work_id":"ffb61df9-67e5-469d-ace2-e1558ef837a1","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:2d624a096077486e9a52c29cb594c8c3dccd99a800d21e9046a37fa7dc45d274","observation_id":"9f5efaab-bb7a-4db6-8532-dd4a985474a0","resolution":{"observed_at":"2026-07-07T08:53:32.897631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.898203Z","title":"milestones","venue":null,"work_id":"6b6963e6-7480-40cd-9aba-4f238bffaf22","year":2022},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:79164ac706374d3e768ed4688a3725b6e0845a8f2abf626c456fde539caa50b7","observation_id":"18f34aee-e9b8-4358-aab7-ef0e28172d8d","resolution":{"observed_at":"2026-07-07T08:53:32.899238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.908917Z","title":null,"venue":null,"work_id":"52fb4bb5-8f68-4072-b3dc-19763e7ac8ec","year":2022},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:3014e120a1c0b7546ef5a9536d14f06ec531376c5615aac69cb76a1370d9fbd9","observation_id":"60aea124-30c3-44ca-b80c-f99bc2752137","resolution":{"observed_at":"2026-07-07T08:53:32.909927Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.916901Z","title":null,"venue":null,"work_id":"03cdec53-9b04-4cb7-90c6-56bac1e4dcb3","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:55186aab298332140a11686bd5547e010f50153f2093f9a3aa7bd3f22e4ab9e4","observation_id":"44bbf5fd-d0b7-4d19-ae79-544f06c8520a","resolution":{"observed_at":"2026-07-07T08:53:32.918905Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.888564Z","title":null,"venue":null,"work_id":"41c0a302-27b3-43d9-bee6-799d0bd74009","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:5ce2d72190eccdaa01ab3c165946de302c4e69cbc42c237299b646d1a5142324","observation_id":"573c8349-646f-4ad3-a123-46c747073c33","resolution":{"observed_at":"2026-07-07T08:53:32.889834Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.883824Z","title":"Gold answer.[1.64, 1.05]","venue":null,"work_id":"d6a17aa1-9390-488b-931e-1166354c7268","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:5cf9780a6d5d9275cf7bbe405cdede71fef74e1d2fb29e1551e5065a3efec07f","observation_id":"e8e530c2-d09a-44d3-8c3b-3a394241a8f2","resolution":{"observed_at":"2026-07-07T08:53:32.885380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.886706Z","title":"I’ll start by checking what’s avail- able in the database and searching for the relevant financial data,","venue":null,"work_id":"1799ef4f-5769-4d59-baf0-ee10f4dc6974","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:128cbb72c5eb91db11caf37279fec045ea8e803a17761f4cdffa856fd9f468d9","observation_id":"1c17109b-1446-4208-8cf0-c2e00e52a985","resolution":{"observed_at":"2026-07-07T08:53:32.888013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.890571Z","title":null,"venue":null,"work_id":"d684ffb3-6635-4c2a-bd04-390099b7fdf2","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:0debe67718cc63d2353be88821deeec5d576bb5d0e24bfbd9d7981345c7d05ae","observation_id":"ec606a2b-211f-436d-86ad-b03175a019ba","resolution":{"observed_at":"2026-07-07T08:53:32.891871Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.922770Z","title":"The database uses anonymized company names","venue":null,"work_id":"91dd45e3-071d-43d6-9dfc-5a6a7d060018","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:9ecc713bc3e6060a537f4f7a467039c1cd4493c37f6e3f30896d939006d8a2e5","observation_id":"8692c825-3d5a-42d5-8cc1-934d057b2c54","resolution":{"observed_at":"2026-07-07T08:53:32.923927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.924541Z","title":"The keyword for automobile manufacturing yields 242 matches","venue":null,"work_id":"2d7e39c7-7129-4ddc-84ab-46cc8fa5027f","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:530e62e9f4ab17161cf7bc5e083b914f95f32d905e6762e103a738fd0161dac6","observation_id":"ba95fdc0-4263-455a-baa6-8ff82ba0a5f0","resolution":{"observed_at":"2026-07-07T08:53:32.925673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.926185Z","title":"Finds only a sup- plier record that mentions ZEEKR as a customer, with no financials","venue":null,"work_id":"e86e8940-8fb5-41ee-bac3-5c850a619767","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:129b3c50b2fe2e6e452ab76b2ddbd7276aaa90d375c3e5ca1271cb458f1a718e","observation_id":"655499b0-517c-4376-9bf8-f3d2ba76c2a2","resolution":{"observed_at":"2026-07-07T08:53:32.927340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.931629Z","title":"SEC returns 403","venue":null,"work_id":"ae46ead3-a54a-4f6b-b6e9-9c8c3738941b","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:e64eb30909c73d287b55e27551f23b70253af50d7acde053519c2c77f986970f","observation_id":"34adb9b5-318a-44d6-bf78-26a8133f2577","resolution":{"observed_at":"2026-07-07T08:53:32.932714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.933297Z","title":null,"venue":null,"work_id":"26594941-a45c-419b-853d-558df3457f80","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:2dddde3109d35302fb6aac2c4d39692af757b9e63f53687e582e84a5cdea5026","observation_id":"bdf70b20-c175-42ac-b50f-c45dbac8077e","resolution":{"observed_at":"2026-07-07T08:53:32.934277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.940417Z","title":null,"venue":null,"work_id":"a836d5bf-d835-404a-83ea-d732783b978b","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:53b2ba45f26a4228489727edf326f4c493612e2b44850dec8c8936a25f8a7d14","observation_id":"48ac0a75-6b6a-4d0c-813c-c0fe2e16fb5e","resolution":{"observed_at":"2026-07-07T08:53:32.941458Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.823697Z","title":"First attempt returns an absurd median of 51,601.32 from a unit mismatch","venue":null,"work_id":"6d43cde7-3f23-40ec-b386-9a1c0d9d89e2","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:853fe51676780bf8f3db28c89aea48a368275bb964b1c95d2834f3a06fe2e282","observation_id":"224335ab-68b2-4964-b653-32c8ee0bfbab","resolution":{"observed_at":"2026-07-07T09:03:28.825578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.919468Z","title":"The units are NOT consistent – different companies use different units","venue":null,"work_id":"11863e42-7860-42a4-8245-a450cbabc5f0","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:05c59db285e172d22e26ae3488de41aceeeb99fa575ada29572f6d43db584233","observation_id":"0abe042d-94cc-4c46-9290-11046b688629","resolution":{"observed_at":"2026-07-07T08:53:32.920673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.921262Z","title":null,"venue":null,"work_id":"8e847386-7b04-44f1-8506-e64466fb3ea4","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:1abba5e906035c417817f4df1dbd13ab634c1056221f9215fb45a3d1f69fee53","observation_id":"69dca2d0-4009-4da0-baa5-74727576cb6f","resolution":{"observed_at":"2026-07-07T08:53:32.922245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.913402Z","title":"Two more web fetches fail or return garbled data","venue":null,"work_id":"6d7ba513-b708-48af-99a3-b0aced7675aa","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:38eebc2cf36ac97d4eba85938051e0272508b98e10c16827bb2990ed681eae89","observation_id":"7fa07781-e8c6-48b6-b52c-de18e536c930","resolution":{"observed_at":"2026-07-07T08:53:32.914500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.831798Z","title":"Total assets = RMB 19,477 M, rev- enue = RMB 31,899 M","venue":null,"work_id":"90740256-5c8c-4ab1-acd9-1dce0fa5a8df","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:45821ce3f7fa078cd3748725bb70c6986d79acd388bfb3dd26d6b8ff6e4e0e4c","observation_id":"e75770ce-c82a-4ec7-baba-920d3543b5a3","resolution":{"observed_at":"2026-07-07T09:03:28.833385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.598824Z","title":null,"venue":null,"work_id":"8cf32c7f-14af-4f92-ad50-a0e69289bd0e","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:6918883dc28546f929f5c07a006d60091147bcd7c0a4e1d8336cd9afb565ee60","observation_id":"9551a7e7-0637-4458-92e3-3f42eaf39d14","resolution":{"observed_at":"2026-07-07T08:53:29.600131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.801897Z","title":"Both are redundant","venue":null,"work_id":"418ee8d1-4694-4af6-a7ff-7b20bb4d28cf","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:6f6a4fc86f9f74bb5fc3933cae4baffe2755b9bebfc3944b35c1f51a943a1a82","observation_id":"0878031e-c7b6-495b-ab34-dde6a3f100a8","resolution":{"observed_at":"2026-07-07T09:03:28.804693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.557137Z","title":"Inefficiency pattern.Each individual step is defen- sible, yet the compound trajectory exhibits five dis- tinct sources of slack","venue":null,"work_id":"05bf57b2-c8b3-4e97-8a5e-fd3e01c08886","year":2022},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:c5fa31f50de1680cc161933e4a1aa14e22179aa22718a864079f8dfe3e256fcd","observation_id":"86a86c8e-4376-4133-89cf-b7e4ed35b952","resolution":{"observed_at":"2026-07-07T08:53:29.561679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.625961Z","title":null,"venue":null,"work_id":"ba0e7c55-9cb3-404d-813e-878ea94a11e8","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:0a8858d63163043d6db9e96568c730ddca7665dc6958b5437640fc2d320a44ef","observation_id":"c123ae7a-05ea-48f0-8ca2-cff6328d4388","resolution":{"observed_at":"2026-07-07T08:53:29.626987Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.609629Z","title":null,"venue":null,"work_id":"cb9fdb32-6dbb-41a1-8375-4b5790cff644","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:17ed4b611e17da1328321529f75bf51ab8d79b8341aecccde142726c2c0e56da","observation_id":"968c82c8-cb9f-457e-afc8-9ab45a53226f","resolution":{"observed_at":"2026-07-07T08:53:29.610858Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.602569Z","title":null,"venue":null,"work_id":"d44ced4b-4cc7-4504-8499-65a1f4477ec3","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:c606713288d13981437135e06d615fd4b920412ed93525f514f1a0068cc1d6f3","observation_id":"cff7cfc6-baad-41fc-8e98-62f5a93e3d46","resolution":{"observed_at":"2026-07-07T08:53:29.603605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.627552Z","title":null,"venue":null,"work_id":"4ba7fe1c-a41e-4a04-ac58-121e192807aa","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:376149e3bb721875d712c28bd95c5938e5b0ef68574f8c7075733cf6fd1740b7","observation_id":"a0fe74ac-5101-46e9-9092-b7fc3a45733a","resolution":{"observed_at":"2026-07-07T08:53:29.628628Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.620294Z","title":null,"venue":null,"work_id":"677e8a24-ace9-4be3-9db6-e569276afa8d","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:7e0c5115f828199631584bdd33fe4296a2f968b14255620fde39078f13a2c6da","observation_id":"1c64736d-b732-4b24-8e85-e0b638b65165","resolution":{"observed_at":"2026-07-07T08:53:29.621511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.831383Z","title":null,"venue":null,"work_id":"73310233-7e68-48a7-bcdd-a1a60270ccae","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:8e897666ce61312154520d76e4c1fd3002349932036335dcf795cf1d6ea56066","observation_id":"0fa730b3-1c67-48f9-a3a1-d799a621d6b8","resolution":{"observed_at":"2026-07-07T09:03:28.832818Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.606015Z","title":null,"venue":null,"work_id":"0d518258-78cf-4330-8a70-10ee5292554f","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:e18f9ce9a10bbeac7abd2d9a599176869cffbe82d80e5dc8cf1a0608517a4125","observation_id":"8ff15d79-538e-4cc7-989d-289ea72a93b2","resolution":{"observed_at":"2026-07-07T08:53:29.607158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.581130Z","title":"Gold answer.0.92","venue":null,"work_id":"70d1e373-f3f0-4768-a6dc-cfb72a58080e","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:6c991d13b7adca0db95aef2ca926a3db40449da3d77cc1a95748fcc9235fc2d6","observation_id":"ef360a6c-de5e-4a15-affa-b5ec2fe9f00c","resolution":{"observed_at":"2026-07-07T08:53:29.582404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.834012Z","title":null,"venue":null,"work_id":"55927be2-c6cb-48d1-b3c3-81c96631fcff","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:e6fa9d82a1f005e9050cf3a86b6cfe703ebc95baa6ca2e9d9face75289e0733c","observation_id":"239927d6-309f-47db-8569-d4e199d2215f","resolution":{"observed_at":"2026-07-07T09:03:28.835698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.829138Z","title":"Reaches 449 nationwide across 16 valid provinces, achieving M1 and M3","venue":null,"work_id":"832668c3-a805-470e-8469-ad3c2f8a7416","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:cd5f058cea6b70add92f6ecc4da24a1f6ef513cfcffa2c157b979de6ed0295b9","observation_id":"487e7f7f-11a9-410d-b9cb-d7836bb73128","resolution":{"observed_at":"2026-07-07T09:03:28.830533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.618586Z","title":"relevant policies","venue":null,"work_id":"6a847598-db98-48b2-977e-744a210104a5","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:03bc1d04e2fa80adc6f7488b72a84a74b6c0fff333a0c96d5a184c05a872050f","observation_id":"d65e8a81-e5f9-4952-810d-62dce412cd39","resolution":{"observed_at":"2026-07-07T08:53:29.619656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.578969Z","title":null,"venue":null,"work_id":"346678b7-4466-406b-a114-01bf7aab9edd","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:96b4da1be2053a3df4f82f5a7859e2fa1878cc4a99490741fdb93a6eef69742f","observation_id":"ce30f5a4-0c48-4b6d-91b9-1cd01dfebebb","resolution":{"observed_at":"2026-07-07T08:53:29.580426Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.843108Z","title":null,"venue":null,"work_id":"89703308-4d03-46ac-93d1-70d1e5d5fabe","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:57eaa441fce46fcb083fb94c19cf4386e00cc228e1af03d5509bff6febc9ae2c","observation_id":"2ada7a97-0097-4e8e-9cb5-d70f3a745403","resolution":{"observed_at":"2026-07-07T09:03:28.844510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.835461Z","title":null,"venue":null,"work_id":"1a31e29f-ee21-49ba-a64c-6147c8dcb4e0","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:7ad57abc52bfbe3c6c9bae33fae5ce09aba181cb00454d71f009faf0aa0a5a7b","observation_id":"e725bd78-7851-4361-b29e-b58c1746a13f","resolution":{"observed_at":"2026-07-07T09:03:28.836746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.836383Z","title":"Incorrect","venue":null,"work_id":"da8813b2-0f06-4c0c-8c6e-46d12c2f4747","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:9cda3336a14414d78602871c5ee9c48d03edebb014d11d0a7030fe616875131c","observation_id":"5912313e-c25a-4f7e-86fc-efe7ba846ab3","resolution":{"observed_at":"2026-07-07T09:03:28.837667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.633335Z","title":"= Real Estate","venue":null,"work_id":"99f1c841-94f6-47ef-9533-2c7826d698d8","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:aa1858822f46c57955b6cb1d18cb6318f09dd9f6892136f58bf85d0456822165","observation_id":"4494fd8b-ec28-43aa-b1f3-dcfcfd524cec","resolution":{"observed_at":"2026-07-07T08:53:29.634433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.821622Z","title":null,"venue":null,"work_id":"6c1f34bf-ff3f-47a7-ba82-d4f2e2db2514","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:3c5a51b4cf0d8c67ff5e24834fa4377c45d5fb00d6f6ce89cba368d23ff938ae","observation_id":"14d422dd-75d1-48d6-a3e7-d0a06ea34331","resolution":{"observed_at":"2026-07-07T09:03:28.823054Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.631329Z","title":"= Financial Industry","venue":null,"work_id":"f48bbc72-8390-4d30-a096-8a3b5b2d9706","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:68773d1ff9d4f4903094cb9c70a324388824227437478e6f01f1ffd4163c8784","observation_id":"2c649037-a507-43bf-8981-5a5ec52a0e9c","resolution":{"observed_at":"2026-07-07T08:53:29.632608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.553300Z","title":null,"venue":null,"work_id":"f1141f37-6cff-4d70-aec8-f51f6deba50c","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:0782b8a2829a679671a44e2d7cb09c69cf6624ad94dbc65115fafa39189604e8","observation_id":"8ad8669c-6a3d-4b56-b523-4b16707c018e","resolution":{"observed_at":"2026-07-07T08:53:29.556434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.943761Z","title":"Gold answer.-880561639.0","venue":null,"work_id":"5520baa7-c0b9-4aa1-8b06-945306ab7ea5","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:eadeef68a0fb65b6432c526a53d083107eaf593ffde52da8e63daa9c0d467193","observation_id":"bad71ba2-573b-463c-a940-1553912f2c93","resolution":{"observed_at":"2026-07-07T08:53:32.944791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.936808Z","title":"Let me start by exploring the database structure and finding information about these two companies","venue":null,"work_id":"84896bce-3316-4670-a95c-336766e7a43a","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:4482e2a6848b45fec2c6e4412a091d0a84eebd126ebcf5fd8ac409d8aa2771bf","observation_id":"f092c32b-20fa-4bc7-9dc2-6bd1d5efa590","resolution":{"observed_at":"2026-07-07T08:53:32.938056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.927859Z","title":null,"venue":null,"work_id":"276899c4-3e9a-438d-b312-01bfce565554","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:105d39107259d3bfb4aef9a7797b7c665825e7ea36856536d77cc2db8b07f7bd","observation_id":"5ad7d2b6-96fa-425f-a562-2c73485a4f00","resolution":{"observed_at":"2026-07-07T08:53:32.928956Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.929536Z","title":"Only one carries the Zhao Ye prefix; Claude identifies it as the intended match","venue":null,"work_id":"36a380c3-c7ce-4b22-9879-a5d0ec57e413","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:ba7e31b90ea2219991e6719e8445975ab5c3d3bab7e36fec25fff2921ce9c387","observation_id":"fd3dbeee-46ac-4d6f-8f88-9e9621ffd00b","resolution":{"observed_at":"2026-07-07T08:53:32.930994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.934773Z","title":"Both company-to- industry milestones cleanly achieved","venue":null,"work_id":"d42bb0a3-78df-4d18-b59f-b993ea1847e5","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:26da26a403d7d2cada980e5e5018318bc3a6b5de677c6dcd8276bb9debc0220c","observation_id":"623a61ff-0e73-4652-bf16-84df950c7e5f","resolution":{"observed_at":"2026-07-07T08:53:32.936085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.938694Z","title":"Company A maps to Real Estate (industryId=4)","venue":null,"work_id":"4438819d-0d38-4308-8054-d42cd2a24c8b","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:7b2ff25815fa77957700689e76d5db2eeacea626aa4c93a9aebf618a6cada91c","observation_id":"3f286947-cdde-4348-b7da-685972f421b4","resolution":{"observed_at":"2026-07-07T08:53:32.939857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.951031Z","title":"Retrieves 101.0930425 in units of 10,000,000 yuan","venue":null,"work_id":"a35bff9d-dd8d-4371-a527-2865fcd3144a","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:8f040edd360cf60ebaf3ce38bebc20f097addbe7cd5ba1e62db703ce4b1555b0","observation_id":"94156162-948f-4115-a76e-0cf7e9717434","resolution":{"observed_at":"2026-07-07T08:53:32.952436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1303.68786","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T00:25:09.631171Z","title":"Real Estate: 1303.68786×10 5 = 130,368,786 yuan","venue":null,"work_id":"0d7e1eb4-cfa2-4713-acf5-9994034f8ad8","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:58b2af3cf1b11ae35e645369f184e9e2a23e5e4a4bf1c8c4f6e66b5ee553c487","observation_id":"6a32db79-7da7-49b5-a196-fd36844a4b28","resolution":{"observed_at":"2026-07-01T00:25:09.633252Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.910429Z","title":"The difference = |1,010,930,425−130,368,786|= 880,561,639 yuan","venue":null,"work_id":"3748ab9b-65f4-4f67-90b4-fdc4b2cd0863","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:784e09aabc59d3613f84cd2ad25bad1073612b9564d39b87b5c52e66954649c9","observation_id":"ac49c4a6-fc34-40a8-a4eb-ec3eca5baa4a","resolution":{"observed_at":"2026-07-07T08:53:32.911413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.905309Z","title":null,"venue":null,"work_id":"f31c45a8-7dd6-4f58-bdab-fc8e820e4949","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:5a837313093941f19b82372a0124f89193d3f1f41deedc5eb3aa4c1555b7d1b4","observation_id":"d5781385-265f-49fc-94b4-092d1166c8a3","resolution":{"observed_at":"2026-07-07T08:53:32.906440Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.911915Z","title":"difference","venue":null,"work_id":"a1a4feea-a750-43dd-aee9-743d540069bb","year":2022},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:e1d4b2061a059c8092d04aa06b705ac5a708c78d741ec570cfb85a3c173d6750","observation_id":"7fae62dc-5467-4d76-9719-65401b785d19","resolution":{"observed_at":"2026-07-07T08:53:32.912890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.901266Z","title":null,"venue":null,"work_id":"9aac63ad-9c52-4cc3-9ff2-16fcb1a8fe80","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:be563daa89a2900ef515137108ecc77ad91053d42cc5eef0d52550ea95d37d14","observation_id":"2d4ccf0a-90e1-46d0-82a6-e2c90f666307","resolution":{"observed_at":"2026-07-07T08:53:32.902628Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.899788Z","title":null,"venue":null,"work_id":"d70a0e54-e661-45a3-866c-83837aeb9656","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:d4a9911bf039a37d1a5f76d1681888b2a726384aa01050f955a951281493995b","observation_id":"faa0f4bc-2832-4bd4-9f83-cb69a5118c79","resolution":{"observed_at":"2026-07-07T08:53:32.900783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.907136Z","title":null,"venue":null,"work_id":"70661059-3b37-4067-90a9-efb4dbed82e9","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:f58afaa4572cf4ba4f986a5aa195590d17be7a5a7535a6ad00e5a3b27d22badd","observation_id":"32cea603-df72-4a70-a64f-c35ca954e7ae","resolution":{"observed_at":"2026-07-07T08:53:32.908244Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.914998Z","title":"Gold answer","venue":null,"work_id":"afc24178-cf20-4f27-98cb-0dc7eb596735","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:361c9d555703c015686f05825eb77c1d3a31980fe3a14f2b71aacaac0ad67e63","observation_id":"62a13a74-0e29-4883-ab44-2716dc9b910e","resolution":{"observed_at":"2026-07-07T08:53:32.916243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.892692Z","title":null,"venue":null,"work_id":"b944d2bf-5953-4170-88cc-447f211203af","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:27a65af083746c71b78766bf097373d4a82489993ec9035b06623cfb9678fb5a","observation_id":"116bea19-5016-4442-8f87-bf93e6e5c682","resolution":{"observed_at":"2026-07-07T08:53:32.893991Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.894710Z","title":null,"venue":null,"work_id":"597c9371-a3e2-45bc-a5ae-fb835b35b86b","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:9b1c74a30e6bf65d4260f65ceb775ad5dd03227dd1262a8f9d2a8bdb22c10373","observation_id":"28770226-9952-416f-b7bb-a90284b81312","resolution":{"observed_at":"2026-07-07T08:53:32.895947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.903773Z","title":null,"venue":null,"work_id":"e2a7797a-50a8-4dfc-8c2c-e831d8421026","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:e8f99dc712c44a3586b17211b2621bce691dfbf4614cc527d47920b03ba55f1a","observation_id":"0100c323-fba7-4c81-a3e0-745729039f4b","resolution":{"observed_at":"2026-07-07T08:53:32.904808Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:32.945416Z","title":"Minimax M2.7 (42 requests, correct), persistent- but-late","venue":null,"work_id":"70d1af7d-58aa-444d-bc36-762d21003050","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:24f923c55948cd263f4c5185a4c54aeb5af7fa773c6e82cbe3150147a8b9d511","observation_id":"13c05e17-cf2e-463e-97b0-90df8806930d","resolution":{"observed_at":"2026-07-07T08:53:32.946625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.591288Z","title":null,"venue":null,"work_id":"e04ec542-ab2a-4373-b695-b2c602d0ff35","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:be7f3ba5c6ecdcb72b56d23cb5970747b11ba01f562cf55dc69f520df55bab43","observation_id":"68edff18-e12b-4d6b-acd0-60d541b70f23","resolution":{"observed_at":"2026-07-07T08:53:29.592444Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.824198Z","title":null,"venue":null,"work_id":"6d4ad25a-56cc-4950-9be6-a5362e5aa723","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:ee4a190d225678533aeec281ca6277ca90867c6977de7e35d80115ea4898f55e","observation_id":"b96824f1-e684-44ce-8d6c-a4765af7268b","resolution":{"observed_at":"2026-07-07T09:03:28.826464Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.833625Z","title":null,"venue":null,"work_id":"bf17a8d0-3fd1-4827-8293-e16d1829b562","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:d4db211c2f642cbf0cd42727da639cadee3f41aa4e3f8f2b8bc39eda38e69a76","observation_id":"40fbcdd2-c328-42d4-b6c9-a1e16a19f613","resolution":{"observed_at":"2026-07-07T09:03:28.834918Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.821323Z","title":"DeepSeek-V3.2 (83 requests, incorrect), wasteful trial-and-error","venue":null,"work_id":"ac32c583-a738-47c5-aa46-172062847379","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:b28c3440f79d47a58b9033cddff3bf4c5e889836902fb711a3ec98da204c9161","observation_id":"2b990172-fa87-4b79-b37e-b32bdbefd762","resolution":{"observed_at":"2026-07-07T09:03:28.823275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.788798Z","title":"M1 already broken","venue":null,"work_id":"1cae1b34-6b6c-4f0c-9a8e-57cc4b52dd52","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:4eee8b9b0626c487da5bb03ff8743459ddd7e6c024a7a03673c31bdb7ab5250a","observation_id":"135d4a5a-b4b6-4c0a-b17e-02becf94d6aa","resolution":{"observed_at":"2026-07-07T09:03:28.791871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.829496Z","title":null,"venue":null,"work_id":"0d27ac3a-eab5-4abb-bae6-62c8bf1bb928","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:9c0c2dfe034b7a5c75c22fbbfdb08472d4b31c50481d6be7e687ef562fb462d8","observation_id":"b129f037-f5c2-432d-bb4b-078b07d20398","resolution":{"observed_at":"2026-07-07T09:03:28.831153Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.827164Z","title":"No relevant data found","venue":null,"work_id":"2711c2f3-6c61-447e-9b5a-b9f2c14c601b","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:7ba1bd9c31b548b0187829eebc8402aed07cac4d19cd5928ee6e58f7804bee98","observation_id":"06e117f6-6e17-4b35-af75-de4ff83fcc50","resolution":{"observed_at":"2026-07-07T09:03:28.828903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.818955Z","title":null,"venue":null,"work_id":"1071f25a-d306-4d91-85da-2df129aaf8ff","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:938c593a9eb7dc0be501353e14ca567f1aaa61b54bff8a3bf9c606749d4be87c","observation_id":"5aaace9c-8f54-4d3a-9e13-7c8406114564","resolution":{"observed_at":"2026-07-07T09:03:28.821024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.837335Z","title":null,"venue":null,"work_id":"a55c4d39-90dd-45f0-818d-0656594a28a0","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:33509f684d8eee4a0b90a56e4914071598f32e7d56348cfe2a9998e49cf3ba53","observation_id":"85a0ed06-9414-4ab3-8797-9d332f3dc536","resolution":{"observed_at":"2026-07-07T09:03:28.838692Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T08:53:29.595036Z","title":"No relevant data found","venue":null,"work_id":"fc4a03bd-ec18-4e17-acd0-309426fc9987","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:593ba463a4c874be30837e565649f20d7a0b368dfd76071db5958429d601a70d","observation_id":"f518da2b-1c0d-4e9f-b771-cb499c3960f1","resolution":{"observed_at":"2026-07-07T08:53:29.596206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.807541Z","title":null,"venue":null,"work_id":"a808b32a-f1f2-40fa-85cf-abc95d2edebc","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:9b57cd92ffbb4beb97cfd464d038fe81ecf4af1ef871079b61de42accde7e7e4","observation_id":"bed31fbf-dd05-4e68-994b-d720405a5b17","resolution":{"observed_at":"2026-07-07T09:03:28.809763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T09:03:28.815922Z","title":"Style-contrast analysis.The five trajectories trace the four archetypes from §4.1 on a single concrete task","venue":null,"work_id":"47802092-ff9c-43d6-9c6d-aa1ce3d9984c","year":null},"citing_paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis","version":3},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-07-01T00:19:52.480293Z"},"links":{"citing_paper":"/paper/2605.02503"},"observation_digest":"sha256:c0e95347b132bd456fc3d645c23b3919c2b96fadd8455bbed98882fde5803f2c","observation_id":"4356bea6-cbb8-4f82-80b3-d3d2b1a35a1a","resolution":{"observed_at":"2026-07-07T09:03:28.817881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.02503","last_updated":"2026-05-27T09:45:47Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-02T19:40:05.951592Z","submitted_at":"2026-05-04T11:57:09Z","title":"DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis"},"reference_resolution":{"displayed":84,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":36,"verified_exact":2,"verified_fuzzy":44},"total_outbound_references":84},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 1 inbound Pith citation observation for arXiv:2605.02503."}