{"as_of":"2026-08-16T01:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d3c2b22b74e94bf5107c45c3920a4a0a46bd4eda57751028de9569763ec1d38","coverage":[{"denominator":109,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:25:46.537034Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.10366/citation-record","integrity":"/paper/2608.10366/integrity","json":"/paper/2608.10366/citation-record.json","paper":"/paper/2608.10366"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.233615Z","title":"2016 , publisher=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.233615Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:780549f838f6826b3e684913aa501d3b04aa7b27ce1760ed2eddd9975ae8389c","observation_id":"fc2b6cd7-9578-43a5-8164-1de4b90e87f4","resolution":{"observed_at":"2026-08-15T14:25:46.233615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.237931Z","title":"Proceedings International Conference on Coordinated and Multiple Views in Exploratory Visualization-CMV 2003- , pages=","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.237931Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:ae5e1263d384caa2df2ff9427e8f5d9c67d78dd31a6ea51aa8ca7f716b61270a","observation_id":"f2d5bfc0-ae36-4139-aca5-9d6eb07be9f2","resolution":{"observed_at":"2026-08-15T14:25:46.237931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.241190Z","title":"Proceedings of the ACM on Human-Computer Interaction , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.241190Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:176fb479bd784e01fa413200b8998883b1594c06294e78a360eda3640f61756a","observation_id":"3de8c274-f689-48af-aef4-1a3e98dec212","resolution":{"observed_at":"2026-08-15T14:25:46.241190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.245080Z","title":"Hugginggpt: Solving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.245080Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:e811da3277daf90b685c84de659d02a7b096ac71405fcb7f4db751d0783143a1","observation_id":"96ac7dd0-238c-4c87-8e34-10b6a0012596","resolution":{"observed_at":"2026-08-15T14:25:46.245080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-13T14:29:35.782471Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-15T14:25:46.249184Z","title":"arXiv preprint arXiv:2410.20424 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.249184Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:25f4b3827fd2ef41b7469a842593681bdc88f71db45fe8e10daab9e2215bf945","observation_id":"790adce7-ce24-48f7-965e-a224c118aad3","resolution":{"observed_at":"2026-08-15T14:25:46.249184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.255517Z","title":"Proceedings of the 41st International Conference on Machine Learning , articleno =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.255517Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:2db384b7ff3299f664fc8d267b583c9fcbb67ccb47a82da790df4f5725f57948","observation_id":"8ff97455-da08-4827-9570-11eef90aa4a1","resolution":{"observed_at":"2026-08-15T14:25:46.255517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17541","last_updated":"2024-06-20T02:53:20Z","snapshot_observed_at":"2026-08-13T05:14:36.591429Z","submitted_at":"2023-11-29T11:23:42Z","title":"TaskWeaver: A Code-First Agent Framework","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17541","snapshot_observed_at":"2026-08-15T14:25:46.258487Z","title":"arXiv preprint arXiv:2311.17541 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.258487Z"},"links":{"cited_paper":"/paper/2311.17541","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:53d43284ab88d866ff4cbc8a618361fb9b6e4aba30fdf10e144ee71022f2c5ea","observation_id":"32ed1fd5-3eca-403e-864e-17ce97a19fa6","resolution":{"observed_at":"2026-08-15T14:25:46.258487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.262029Z","title":"Health Management & Information Science , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.262029Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:35efcb62d4046173a05472e39bf6fd2e88d573d2dd602641f504d8ca2559bd03","observation_id":"727f0026-51a7-43ed-820f-eb9b8854624c","resolution":{"observed_at":"2026-08-15T14:25:46.262029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.264975Z","title":"Journal of information systems research and innovation , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.264975Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:58bd451bb3a7599c30a65cfb5051941a5447f27524215e2336d33f94d1eda426","observation_id":"3bba06c2-9f8a-4a4c-847b-4cbbc7da05be","resolution":{"observed_at":"2026-08-15T14:25:46.264975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.268073Z","title":"Reviews of Contemporary Business Analytics , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.268073Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:e3121b54ebd32f4231b3708b3dee41db552fd7a5bff4091c2a83ad58a3def824","observation_id":"d716f813-11ce-4b5e-9058-a582233d164b","resolution":{"observed_at":"2026-08-15T14:25:46.268073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.270980Z","title":"2019 , school =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.270980Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:38874c7fae8b2cc37f5ebc0577af6a15e6a0202957253b7be3d86bc2d221d1fb","observation_id":"d9678446-78ae-4382-a7f3-351e16ad8509","resolution":{"observed_at":"2026-08-15T14:25:46.270980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.07300","last_updated":"2018-02-22T22:50:42Z","snapshot_observed_at":"2026-08-15T22:53:17.165603Z","submitted_at":"2017-10-19T18:01:38Z","title":"FigureQA: An Annotated Figure Dataset for Visual Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.07300","snapshot_observed_at":"2026-08-15T14:25:46.273572Z","title":"arXiv preprint arXiv:1710.07300 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.273572Z"},"links":{"cited_paper":"/paper/1710.07300","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:b208563d480520d435924935b1f446eb72be08947c666474fd3b9850f4948c0e","observation_id":"42d0f4f3-81d2-43f4-b502-414ec2935872","resolution":{"observed_at":"2026-08-15T14:25:46.273572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.277374Z","title":"Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.277374Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:13e3ebf7f622dbb1b951ff3b511e5743f3c7d102ce940671beb5ccf2000ff021","observation_id":"8dad50a5-cb98-4eeb-8a40-ba40bfe0be81","resolution":{"observed_at":"2026-08-15T14:25:46.277374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.280233Z","title":"Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.280233Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:b6cc555a2f07eee047fb5b833d1e5772e71fb5c24b93da93c05f7290fc362f93","observation_id":"a3ad14f1-8473-40be-97a6-5120669605b8","resolution":{"observed_at":"2026-08-15T14:25:46.280233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.283451Z","title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.283451Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:98b482bf09583433aebce376c4761346ec43c951cbd7f91c0fab7c21bf32a9c2","observation_id":"ebc7a3ae-8315-4cba-93d0-90e874e8d36a","resolution":{"observed_at":"2026-08-15T14:25:46.283451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.286408Z","title":"Proceedings of the IEEE conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.286408Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:4e55091f481c60cbae58e32355964db8cdd49ae40946c01817d89a91ea13ddae","observation_id":"6712856b-95ba-4abf-b6c3-789a86c1f0c0","resolution":{"observed_at":"2026-08-15T14:25:46.286408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.289994Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.289994Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:b417e9d9cd0eeb8c8fbc5e02ad6d5087c2b6fbaeca56cdeee3c83f8895a5c24f","observation_id":"d8961767-03a2-4245-8df6-c07adadaa6f1","resolution":{"observed_at":"2026-08-15T14:25:46.289994Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.293721Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.293721Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:83372c6a6f575c28c3f500d6b58abb049ae88760c73ae4bad90c7500ac8b7fba","observation_id":"86ba1b50-260d-4aa2-945d-75745778c573","resolution":{"observed_at":"2026-08-15T14:25:46.293721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.10244","last_updated":"2022-03-19T05:00:30Z","snapshot_observed_at":"2026-08-11T03:45:43.920485Z","submitted_at":"2022-03-19T05:00:30Z","title":"ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.10244","snapshot_observed_at":"2026-08-15T14:25:46.296074Z","title":"arXiv preprint arXiv:2203.10244 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.296074Z"},"links":{"cited_paper":"/paper/2203.10244","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:8be3ff48e5fba955704b25aa92c682150efc1ff176ef8c4333ef0f8b3a98ac74","observation_id":"ad4aacc3-7e22-4360-b9ff-be73c4be50fe","resolution":{"observed_at":"2026-08-15T14:25:46.296074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.298397Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.298397Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:d72375f1dfdc21f8cb4dddb0982462dd115326bc6a0de4e3476ef501467ebb22","observation_id":"25015998-0159-4442-b287-b471690f656a","resolution":{"observed_at":"2026-08-15T14:25:46.298397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.301448Z","title":"2016 , eprint=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.301448Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:3f27324b6866d5b8e547adcbdcaf5ee52f83273e106cd7ce4c304407562ea9bd","observation_id":"1f9f8d6f-5b3b-4839-9ea1-ba31f4aa999c","resolution":{"observed_at":"2026-08-15T14:25:46.301448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.304173Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.304173Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:de9f88898d183a727dc0cd662862e91973f74ac23c2ae7f27572972d3435eb47","observation_id":"8021c97d-7196-47ba-a81b-4c3a2d478ad0","resolution":{"observed_at":"2026-08-15T14:25:46.304173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.307234Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.307234Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:2bc161ea614ede4e8efb89fdbbbdd7ff403e93af7f4fd44634d61a3c1ba66940","observation_id":"c7285926-efea-4b26-be12-80700f0b8669","resolution":{"observed_at":"2026-08-15T14:25:46.307234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.310558Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.310558Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:badb8ce1bc26d01322cce8c8d1b9eb6986fc3b67a27723109f432131d7cf04b0","observation_id":"28587a97-0785-4e73-b900-0ddcebfb10aa","resolution":{"observed_at":"2026-08-15T14:25:46.310558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.313598Z","title":"2015 , publisher=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.313598Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:e6b4c3fe5a753819cf347fa41b9e6819d5909e8dbd432ec46eab246b8b0b48ee","observation_id":"eecdabff-8c3a-4603-bba5-6ff1d78616a1","resolution":{"observed_at":"2026-08-15T14:25:46.313598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.316344Z","title":"2021 25th International Conference Information Visualisation (IV) , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.316344Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:3e3ad0b3bfaedb9ea48d9b7bfc23cbcde89d19ca50e4845ac6a35bfd08ff14b6","observation_id":"182566a0-c7a1-44fd-b700-70bf9b1f010a","resolution":{"observed_at":"2026-08-15T14:25:46.316344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.319353Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.319353Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:9dc11a8b29e3f8412d9d6abe9636fc8d57a186363755884944e7f94347fc6fff","observation_id":"6d36f2aa-feb2-428c-b70b-da214c3bfb2f","resolution":{"observed_at":"2026-08-15T14:25:46.319353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.321728Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.321728Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:029ef2ef404d7f90d2aac1b499c9d99ade6a20fc5d790851e7b3a350d723d762","observation_id":"d92a6f2f-3c69-4b42-b0f8-d2e2f9afc1c2","resolution":{"observed_at":"2026-08-15T14:25:46.321728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.324524Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.324524Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:44b20d6d8580955e971c8d7833b2cd8965e76092fc8a40c864997a9e61cb6ec5","observation_id":"a94280b8-d70e-430e-98e3-1ed7a578851c","resolution":{"observed_at":"2026-08-15T14:25:46.324524Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.327085Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.327085Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:7c192cf40b1812c6f76b3e8a0c76f8d2d123a1053d54466f8bad9fa657433b56","observation_id":"d9a2df44-f553-41a3-af3e-2aa4dbb528e7","resolution":{"observed_at":"2026-08-15T14:25:46.327085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.329870Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.329870Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:49cda73eee7a4a0110ef1d6acf574ee0d2460a53770342f16b1a4d964988e21d","observation_id":"abc4dbc0-48d4-452b-bda9-11c49021eb04","resolution":{"observed_at":"2026-08-15T14:25:46.329870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.333057Z","title":"2020 , eprint=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.333057Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:3cf3669ad5d84a9a9fa6870ea610b74cc815a5c71fb9382b725feeb4eca04776","observation_id":"ecd7aa22-bd5c-4ea1-a86d-66798fb85fed","resolution":{"observed_at":"2026-08-15T14:25:46.333057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.335990Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.335990Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:30f6ae5733354e2976e0c36f1685cfd9b25d4f64693ca93caa51188626ab8553","observation_id":"9cea02b9-5856-4859-9fa4-7ef4cb586b3a","resolution":{"observed_at":"2026-08-15T14:25:46.335990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.339432Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.339432Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:d35c1dcb3ca4594a9a2972542df884c6b5618b859bcb18f4fda49cc25ef7d221","observation_id":"9050ed4c-316d-41d9-8923-50499f53630c","resolution":{"observed_at":"2026-08-15T14:25:46.339432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.342947Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.342947Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:daaaadae7dd902a689f89f639490806597a95b804e6217ea7e5cb741e78102ac","observation_id":"de4f89d0-99b2-4e94-946f-d8aa6872eb24","resolution":{"observed_at":"2026-08-15T14:25:46.342947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.345436Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.345436Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:7236ec336c79493fd62571a3c84ff798cf4bee7daf72ec6335596f39043554e0","observation_id":"946a43c6-4253-4fc4-9d39-20501ccabc2e","resolution":{"observed_at":"2026-08-15T14:25:46.345436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.377803Z","title":"2025 , eprint=","venue":null,"work_id":"71eac7d0-55ef-4258-a2f1-4701bc473e05","year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.348837Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:81644cfa4f593ec471180ac60d643b6e6c84e263e05aee394afa7950307cce7a","observation_id":"6d74e466-4dcc-48f9-b8b2-b5613eb13360","resolution":{"observed_at":"2026-08-15T14:25:47.380439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.351028Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.351028Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:a195da0b68860886662ce53b63c6226416745f8922c01e67568d38bf091becec","observation_id":"13eefc95-6cb0-4fe8-a0c1-c5593146f517","resolution":{"observed_at":"2026-08-15T14:25:46.351028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.354273Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.354273Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:790c9330cb4410e8e604c9a9f017f96d5fe39d7f68d5114b570dfc5271bc93a3","observation_id":"81dbbd77-9661-4d57-91f2-802d8a9970d8","resolution":{"observed_at":"2026-08-15T14:25:46.354273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.362066Z","title":"2025 , eprint=","venue":null,"work_id":"d068dded-98ff-4756-b98e-de4bb3897436","year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.356911Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:376cf0b978e885c963d16ddcf568f27ee00b156381a5354f65b1657603b12b7e","observation_id":"afef795d-17ca-40db-9658-590489afb3d9","resolution":{"observed_at":"2026-08-15T14:25:47.364952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.360208Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.360208Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:8e9c7d4ced0eadf8fde9329283810432fa41d98a49bbab9ca243c0f44fd42052","observation_id":"47510e66-0d27-44c0-aae7-68dbcadf6c2b","resolution":{"observed_at":"2026-08-15T14:25:46.360208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.362994Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.362994Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:e3d697137dc834b5439b6f634d9cba6104f46ef4481523fb57685be0ffeafff4","observation_id":"00a96894-1723-4c29-a26e-2331a98cb462","resolution":{"observed_at":"2026-08-15T14:25:46.362994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.365294Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.365294Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:02e5e7133fd966186e9fadf45b3f830028eeed9b71407b5175258546495f4a7e","observation_id":"016757c8-53b4-4f5a-b73a-f76bc91b7ad7","resolution":{"observed_at":"2026-08-15T14:25:46.365294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.367628Z","title":"Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.367628Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:3fd49fc64b2f4dd20bcce6da0e835fa8877c238048d9488440b73374570854dc","observation_id":"fdd8ad69-49b5-4357-b9ee-2b19c8c8c9d9","resolution":{"observed_at":"2026-08-15T14:25:46.367628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.370645Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.370645Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:980e6e4ce090bc0dca915b47741c1dac3ce69a56cbcb74cbdf749b3b16022376","observation_id":"dbc08263-e9d4-4309-bb34-68c9096b34e7","resolution":{"observed_at":"2026-08-15T14:25:46.370645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.374383Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.374383Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:9b4c963cb7d32020a56284510d5bf95a5c65d3be1328d0ee83b19ce6b6b2c12f","observation_id":"13107e90-1e92-4735-ab58-b34b8f24bcc3","resolution":{"observed_at":"2026-08-15T14:25:46.374383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.377200Z","title":"2019 , eprint=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.377200Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:e23adb65b33f96067d2a65f11db85288bbb30f396b3e1400bf202fee8f06af91","observation_id":"d65c8789-b396-43ed-b247-90fe94b51480","resolution":{"observed_at":"2026-08-15T14:25:46.377200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.324397Z","title":"and Kumar, Pratyush , title =","venue":null,"work_id":"c41fbca7-6d8b-48a7-a945-35cc77204dc4","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.379803Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:06fe44c6f712711072eb59247ec8915d89bcd21b04bb2fe128524e728083aa14","observation_id":"b3be21d6-ca39-4767-a76a-fdb46ca3a055","resolution":{"observed_at":"2026-08-15T14:25:47.328278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.315337Z","title":"Price and Christopher Kanan , title =","venue":null,"work_id":"eb9177fa-f666-49b7-8596-d143658b1d91","year":2018},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.382723Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:94e84563f423903cf1c895d6fc98c4177ede93ff5e462afe4cbf482035b0c3b9","observation_id":"5b1b8c4a-0005-4616-a630-3441e9bef719","resolution":{"observed_at":"2026-08-15T14:25:47.318282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.306890Z","title":"2018 , eprint=","venue":null,"work_id":"866924c2-d850-4905-a42a-4ffe965494dd","year":2018},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.385020Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:c290fa60f521aec4bac25e005818c82a1374a51e13212d01ad66a8f7c5a56c1f","observation_id":"0a941156-9b6d-4880-abe7-92c3687da568","resolution":{"observed_at":"2026-08-15T14:25:47.309559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.389010Z","title":"2021 , eprint=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.389010Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:afb63ad9630fac06a2f23b93416f7ee74f42499adf68a372473fc32bc129483d","observation_id":"1d9bf6c1-31e3-4de4-98bf-4cb944ba98db","resolution":{"observed_at":"2026-08-15T14:25:46.389010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.295561Z","title":"Applying Pragmatics Principles for Interaction with Visual Analytics , year=","venue":null,"work_id":"fb8c83d3-19dd-4d3c-8c80-3aee213578b8","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.392214Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:bdde87386f2889fae835f182cda2c14f3adaaa33d9da2581bfd6f506676bb6c8","observation_id":"a8fe7b04-ac66-405d-a3f6-64ef06c02ecd","resolution":{"observed_at":"2026-08-15T14:25:47.298873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.394993Z","title":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems , pages =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.394993Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:10ee982fc163215eb5a810b7bab794364fe17d514194d8ca5a8720b36923518a","observation_id":"ac70452a-2d43-464a-ae64-88fedbba958c","resolution":{"observed_at":"2026-08-15T14:25:46.394993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.397811Z","title":"C hart A ssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.397811Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:d56187116386c086f1ee31794a94f2409da34b69beeeaaa81e0b2979b78880a3","observation_id":"b94feaac-bd2e-4875-9e59-0f6b222b9bda","resolution":{"observed_at":"2026-08-15T14:25:46.397811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.400247Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.400247Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:440d4c430679574dbd9c369862c8512536edd4846e9ac71a233698bce86def5d","observation_id":"11dcb5cf-c7e2-4c23-9f85-e830e55a8148","resolution":{"observed_at":"2026-08-15T14:25:46.400247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.281243Z","title":"2024 , eprint=","venue":null,"work_id":"93dda743-1957-4757-9803-3d0d1ee8feb7","year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.402957Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:761869c6d604e4cb3648aff4f596e1755004e929b953902d2daa545327cb1aab","observation_id":"ff9cf378-06dc-47fd-9182-70dc62a678b5","resolution":{"observed_at":"2026-08-15T14:25:47.284798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.272687Z","title":"2024 , eprint=","venue":null,"work_id":"b6bd6133-b0c8-478e-866b-131a60c77683","year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.405220Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:912eb3524114a173681dbce304169d12c6e4c91f59ffa4d1027697aeadf0f5b0","observation_id":"c2f96ee1-826e-4b0f-9163-510e55dba4d8","resolution":{"observed_at":"2026-08-15T14:25:47.275447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.263087Z","title":"2023 , eprint=","venue":null,"work_id":"9399707b-cdbe-49b5-9cf1-0f6676283b82","year":2023},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.407766Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:d6340a74cc0154433f9e3728ca81ba7cb36ef845a17a747301379a9785dbc0ce","observation_id":"4ef0ffe9-65d9-4d17-8181-91e8b5a45778","resolution":{"observed_at":"2026-08-15T14:25:47.266422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-08-06T05:35:29.109022Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-08-15T14:25:46.411063Z","title":"arXiv preprint arXiv:2409.12191 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.411063Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:581aa9be0e59959517360f187c748574872ca30cb549d3dda2ea68eb07f5e802","observation_id":"b2b32b45-851b-4482-8bf7-89b0972575b3","resolution":{"observed_at":"2026-08-15T14:25:46.411063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.414158Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.414158Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:b2bc22892b88afb60c1fab2bae69ee3f1a867b33d89779bbf3e7542f23ab422e","observation_id":"72918966-8a1a-4d67-8333-60586a4976b5","resolution":{"observed_at":"2026-08-15T14:25:46.414158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.252345Z","title":null,"venue":null,"work_id":"2a4488a6-5c68-4940-8e7d-931d2b3e1e31","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.417531Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:56b8e63095c9a9bb334541088340143ddfd2ebcdfe3d400fda8c976300df969a","observation_id":"523e4ea2-6d60-441a-9b8e-1ae1ef6f4690","resolution":{"observed_at":"2026-08-15T14:25:47.255046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.245017Z","title":"2025 , url =","venue":null,"work_id":"6bb9346c-fb0c-46cb-acf6-49619db616bb","year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.420613Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:9c833ac35c5940eba446eda4d0c7324b8d596639fb9a8c1807650101568570ea","observation_id":"c39e03df-3e13-43ba-8b4a-207f4658fdfc","resolution":{"observed_at":"2026-08-15T14:25:47.247730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.423181Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.423181Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:8b3cbebd01bbae098129dce593a57c1ba56a26759116dc4b3184b234375df584","observation_id":"13681dc3-e5b4-4ba2-94ca-d28376e7862a","resolution":{"observed_at":"2026-08-15T14:25:46.423181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-15T14:25:46.426051Z","title":"arXiv preprint arXiv:2107.03374 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.426051Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:82d6c52c17115817724a81d017a6b0b3a357a9b4ec73b6e48cb71dd9d92a2d26","observation_id":"e8c87054-2f51-4e70-b02d-fa9803f62004","resolution":{"observed_at":"2026-08-15T14:25:46.426051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07331","last_updated":"2024-10-11T00:53:05Z","snapshot_observed_at":"2026-08-12T22:26:56.504594Z","submitted_at":"2024-10-09T18:00:05Z","title":"DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07331","snapshot_observed_at":"2026-08-15T14:25:46.429057Z","title":"arXiv preprint arXiv:2410.07331 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.429057Z"},"links":{"cited_paper":"/paper/2410.07331","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:0809225d7a30178dc15259e930071902375dbef556276be13aa42de7cb9a849e","observation_id":"cac7f5a5-0a13-4682-a228-fbc3738bc5a1","resolution":{"observed_at":"2026-08-15T14:25:46.429057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23719","last_updated":"2025-06-30T10:49:21Z","snapshot_observed_at":"2026-08-11T05:06:41.954885Z","submitted_at":"2025-06-30T10:49:21Z","title":"DABstep: Data Agent Benchmark for Multi-step Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.23719","snapshot_observed_at":"2026-08-15T14:25:46.432202Z","title":"arXiv preprint arXiv:2506.23719 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.432202Z"},"links":{"cited_paper":"/paper/2506.23719","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:a8d42ef2790f2c440cb099223edf0677c0c2e13231a709c582d787a4cce389df","observation_id":"abd6e8be-f1d7-4b41-8692-58b83a2fdb26","resolution":{"observed_at":"2026-08-15T14:25:46.432202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.434771Z","title":"arXiv preprint arXiv:2506.06541 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.434771Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:fd1a8ecf5001db3a457e6227e7d8b8573f091683bb08aa434df23c9afc7723b8","observation_id":"955b9ff0-d0cf-4ea4-9c46-9fc05d74d3eb","resolution":{"observed_at":"2026-08-15T14:25:46.434771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.437608Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.437608Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:30700a0b4aaf76008cc5b77ea5ae0a9714554baa8248b9062d2ab6ce0eb3d331","observation_id":"fac6bf2b-5c97-4c83-8285-b318cad4550e","resolution":{"observed_at":"2026-08-15T14:25:46.437608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03302","last_updated":"2024-04-14T21:02:16Z","snapshot_observed_at":"2026-08-13T05:57:05.956099Z","submitted_at":"2023-10-05T04:06:12Z","title":"MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03302","snapshot_observed_at":"2026-08-15T14:25:46.440154Z","title":"arXiv preprint arXiv:2310.03302 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.440154Z"},"links":{"cited_paper":"/paper/2310.03302","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:469828742a658c21689f2816c5fbc85d2c872233bd71d4e9040d673bf211b33b","observation_id":"2a32d19f-9c42-4377-8d46-6418a4e133d2","resolution":{"observed_at":"2026-08-15T14:25:46.440154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07703","last_updated":"2025-04-11T14:12:58Z","snapshot_observed_at":"2026-08-14T14:52:35.565301Z","submitted_at":"2024-09-12T02:08:00Z","title":"DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07703","snapshot_observed_at":"2026-08-15T14:25:46.442800Z","title":"arXiv preprint arXiv:2409.07703 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.442800Z"},"links":{"cited_paper":"/paper/2409.07703","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:bc7253f7161f316d4d99154dee6c0ae08cfcf4e24c6d3f82c9af00bac0a0677d","observation_id":"8f302c8f-b879-4bee-b4c2-ec405d920637","resolution":{"observed_at":"2026-08-15T14:25:46.442800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.226706Z","title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":"17946dc6-b2ee-4d8e-b2ec-f35494276f2d","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.445397Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:ebec96879a00a56b5bf44d90f3a75b021cd01f85c0ca8a438c37e66617a781d9","observation_id":"d4b05079-7ed9-4a0c-a66c-46a9ca25273b","resolution":{"observed_at":"2026-08-15T14:25:47.230064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.218029Z","title":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":"bc77a535-4862-4321-897e-3a8f4556888e","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.448793Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:2c49086d64dc059ac5589728c07dac57bf2f46afd2e49c8dccd944a3343f58fa","observation_id":"63638a79-8ba0-464b-a562-07ebed7b55e4","resolution":{"observed_at":"2026-08-15T14:25:47.221241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.451344Z","title":"arXiv preprint arXiv:2510.04023 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.451344Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:1b52de7b176ecac5fe8e6f9bfcdb67b4b367f64906c338a9371ea6823558f8d7","observation_id":"a786e87b-9dc7-4861-ab60-496d430ea940","resolution":{"observed_at":"2026-08-15T14:25:46.451344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00515","last_updated":"2024-11-10T22:02:27Z","snapshot_observed_at":"2026-08-14T16:40:35.729198Z","submitted_at":"2024-06-01T17:48:15Z","title":"A Survey on Large Language Models for Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00515","snapshot_observed_at":"2026-08-15T14:25:46.453584Z","title":"arXiv preprint arXiv:2406.00515 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.453584Z"},"links":{"cited_paper":"/paper/2406.00515","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:f12f94bc33a6808415aea40d795bbebf2ec92976737ab573cbb475041bf23092","observation_id":"73cba74f-3cd9-44d6-8c92-50591f033436","resolution":{"observed_at":"2026-08-15T14:25:46.453584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04890","last_updated":"2025-02-13T10:09:37Z","snapshot_observed_at":"2026-08-12T22:05:30.395662Z","submitted_at":"2024-11-07T17:28:10Z","title":"GUI Agents with Foundation Models: A Comprehensive Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04890","snapshot_observed_at":"2026-08-15T14:25:46.456716Z","title":"arXiv preprint arXiv:2411.04890 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.456716Z"},"links":{"cited_paper":"/paper/2411.04890","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:90714ae065e0b55b7e3e04e8d10848f56fdaaa0cb6fb6e0937fa2ecb5b78bdc0","observation_id":"6381f793-c309-4347-a4a8-37f892cba3de","resolution":{"observed_at":"2026-08-15T14:25:46.456716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.459349Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.459349Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:6e59c234274be863cf56d125d9903467a1ea21da67c5edccbe5f652b1b34c57f","observation_id":"871198bc-35f2-4ddb-be35-9600e058ef6e","resolution":{"observed_at":"2026-08-15T14:25:46.459349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.461903Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.461903Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:44a8413fc3ba4b9ab964ae13bbde7cc62860a47c8002f526bcbd21d795e6d5a4","observation_id":"60c660ba-6d56-4d07-9d5d-98a155d8fa13","resolution":{"observed_at":"2026-08-15T14:25:46.461903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.465198Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.465198Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:f96c909b6ab04049b3ce1cb27ceda24d8adbb09ad65997b30762b700d608af83","observation_id":"996288c0-2928-4e93-80b1-3c8b32a48c91","resolution":{"observed_at":"2026-08-15T14:25:46.465198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.468784Z","title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.468784Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:49e76235544f7b020d837dadc6d2b18e7d1e753517f0b797b1cf90ffc7fdd4a0","observation_id":"34fc86be-090a-4ad7-b4da-e3d0857d281d","resolution":{"observed_at":"2026-08-15T14:25:46.468784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19056","last_updated":"2024-07-26T19:27:17Z","snapshot_observed_at":"2026-08-14T21:13:10.568018Z","submitted_at":"2024-07-26T19:27:17Z","title":"OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19056","snapshot_observed_at":"2026-08-15T14:25:46.473505Z","title":"arXiv preprint arXiv:2407.19056 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.473505Z"},"links":{"cited_paper":"/paper/2407.19056","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:8ce3a9d28ca420afd0bd99af414d756c58486c02ea3e21d56da17776fb8758e2","observation_id":"cee6cd0a-078d-406f-a1ab-5e8e38fe15af","resolution":{"observed_at":"2026-08-15T14:25:46.473505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.476874Z","title":"Proceedings of the 33rd ACM International Conference on Multimedia , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.476874Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:e0794e53f41d59c42bc343ba35d112da2364676e94c4f899fec8522c3a9fd201","observation_id":"bec7489f-d44e-4acf-aafa-bded29de0c6a","resolution":{"observed_at":"2026-08-15T14:25:46.476874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.13854","last_updated":"2024-04-16T15:13:18Z","snapshot_observed_at":"2026-08-14T11:14:55.351653Z","submitted_at":"2023-07-25T22:59:32Z","title":"WebArena: A Realistic Web Environment for Building Autonomous Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.13854","snapshot_observed_at":"2026-08-15T14:25:46.479951Z","title":"arXiv preprint arXiv:2307.13854 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.479951Z"},"links":{"cited_paper":"/paper/2307.13854","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:15c2a2cca5e5a3e346cd649efc4ff10f53621698a6a6d72be721aee5a50c431e","observation_id":"c63e1713-758a-48fa-9ada-30b3778c70b9","resolution":{"observed_at":"2026-08-15T14:25:46.479951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14573","last_updated":"2025-04-06T20:37:50Z","snapshot_observed_at":"2026-08-13T23:11:04.935073Z","submitted_at":"2024-05-23T13:48:54Z","title":"AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14573","snapshot_observed_at":"2026-08-15T14:25:46.482930Z","title":"arXiv preprint arXiv:2405.14573 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.482930Z"},"links":{"cited_paper":"/paper/2405.14573","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:667cbe3b28c4e66a34e0a23856e1a63506a17f917d4a0cb692a45e35915cd9c4","observation_id":"ce454eaa-8177-4205-be98-a38de426c6eb","resolution":{"observed_at":"2026-08-15T14:25:46.482930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.185776Z","title":"SN Computer Science , volume=","venue":null,"work_id":"d87700be-0869-4908-ba62-fffa69018e96","year":2021},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.486288Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:ca036187984e0ed62f9ccb3c741ef0210fb74616cf77849fa6a85096de5ea08e","observation_id":"4991dc4a-1227-446d-b283-ed0ff5890295","resolution":{"observed_at":"2026-08-15T14:25:47.190318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.178336Z","title":"Computer Science & IT Research Journal , volume=","venue":null,"work_id":"de3d6019-1f3f-46f9-a7e7-72beefbc506e","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.489589Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:0b897802cb4ab3b9b924878022aad54e9b88c91a16bae26b50e81dddc358918a","observation_id":"a009e679-cb4d-46c1-bbf0-edeaa5c97c94","resolution":{"observed_at":"2026-08-15T14:25:47.180975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.170008Z","title":"ACM Computing Surveys (CSUR) , volume=","venue":null,"work_id":"d5b61fc6-edab-4076-a5d9-811c7601920c","year":2017},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.493015Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:54406be303d92e5fc8a1ed9f3b7448bd96bd0c6db302d597b5729a4069567f21","observation_id":"f9c155b2-cf32-45c2-97e7-0a790b110b31","resolution":{"observed_at":"2026-08-15T14:25:47.172905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.162069Z","title":"2022 , publisher=","venue":null,"work_id":"595ff42d-5ed0-4feb-a2a1-51ebd1f8be58","year":2022},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.496009Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:d8d51ec04cd98045eacfbe0407b07532a9d22a4169c573fe7807b3dc5fb93d50","observation_id":"8efe28f4-5ac9-4c2e-b910-3bbcbec3958a","resolution":{"observed_at":"2026-08-15T14:25:47.164808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.153432Z","title":"IEEE transactions on visualization and computer graphics , volume=","venue":null,"work_id":"97b8c630-c97c-4a9b-9621-6cbc7b2dbfcc","year":2022},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.499035Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:adb7dad6f11f50053e952a9c4821f9be6078ba00784f1845317566d5c799cd8b","observation_id":"4204852b-193e-49c2-9701-2b52a55869da","resolution":{"observed_at":"2026-08-15T14:25:47.156137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07763","last_updated":"2025-03-17T16:10:45Z","snapshot_observed_at":"2026-08-14T16:10:07.215049Z","submitted_at":"2024-11-12T12:52:17Z","title":"Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07763","snapshot_observed_at":"2026-08-15T14:25:46.501908Z","title":"arXiv preprint arXiv:2411.07763 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.501908Z"},"links":{"cited_paper":"/paper/2411.07763","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:add6ad6f4dec832b241ba5e149d58c8f507acca016a0fc2b7750023ac691bfca","observation_id":"bde77146-5afd-484e-ab4c-053449edeb6d","resolution":{"observed_at":"2026-08-15T14:25:46.501908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.145464Z","title":"IEEE Transactions on Visualization and Computer Graphics , year=","venue":null,"work_id":"e62925fb-aa45-4783-9d40-06f8e06b48cb","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.505131Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:d9646e73c3b80dd0042ab8a3d6b684bb18eb91c0385cece4655a0b2728015c9c","observation_id":"9d1b0c15-568d-463a-b0ec-2c43b4c01430","resolution":{"observed_at":"2026-08-15T14:25:47.148535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.509221Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.509221Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:fc78c7b52d247333f1e0d2cac11d808dc043ec1e08a7c5e2d1a52c1f48808e3d","observation_id":"cf4cefe3-fcd4-4ea3-a703-0dda2e575269","resolution":{"observed_at":"2026-08-15T14:25:46.509221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.133418Z","title":"Data interpreter: An","venue":null,"work_id":"85715f0d-7829-4966-9cca-5d50b80ade6b","year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.512355Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:6ffba79640cb5ff30cf5ca314f21327ec1b9d10d8da6764d483a885e98deeef1","observation_id":"39e9564d-5c62-4687-a8bd-16a95fdd7ef7","resolution":{"observed_at":"2026-08-15T14:25:47.136392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13865","last_updated":"2025-06-04T17:29:13Z","snapshot_observed_at":"2026-08-07T16:32:02.150493Z","submitted_at":"2025-03-27T17:58:31Z","title":"A Survey on (M)LLM-Based GUI Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.13865","snapshot_observed_at":"2026-08-15T14:25:46.515291Z","title":"arXiv preprint arXiv:2504.13865 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.515291Z"},"links":{"cited_paper":"/paper/2504.13865","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:8f5c0d8c7aeeff76890941c7cbd42b9b9aa11857b2444f3612ebf67c73206db8","observation_id":"d61842c3-363b-4d8a-b4f2-db2e082d58ee","resolution":{"observed_at":"2026-08-15T14:25:46.515291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.124063Z","title":"2023 , publisher=","venue":null,"work_id":"3ed0fbeb-038a-4afc-8eae-be707a1c9ec7","year":2023},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.518518Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:aeefa070baeb5fc37b1d834ee789495ff1d310a92b826f04c1fe892d4492bafe","observation_id":"977fcbec-84a1-49c8-8d85-9942410d560e","resolution":{"observed_at":"2026-08-15T14:25:47.127079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.113913Z","title":"Journal of Computational and Graphical Statistics , volume=","venue":null,"work_id":"7eaed298-b7ca-4df9-a112-50d8ece4b156","year":2017},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.521705Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:544f42da2f79698bda26d27c029bfb55c16ae7726f698a0599408cac753f2813","observation_id":"1bd9627a-e3df-440d-b722-d9edced8ca76","resolution":{"observed_at":"2026-08-15T14:25:47.117946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.17398","last_updated":"2025-08-24T15:11:44Z","snapshot_observed_at":"2026-08-15T22:38:21.862876Z","submitted_at":"2025-08-24T15:11:44Z","title":"DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards","version":1},"cited_work":{"arxiv_id":"2508.17398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.17398","snapshot_observed_at":"2026-08-15T14:25:46.793890Z","title":"DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards","venue":"cs.CL","work_id":"01b5b3a5-09a7-4aa5-ba4f-9454afa95ec9","year":2025},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.524921Z"},"links":{"cited_paper":"/paper/2508.17398","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:57d12928eb8ab4a642cb1255d2752856b608a16ae0daffce810c9d805f91bfcf","observation_id":"975032a0-cb30-4b29-b639-d76b9f12b4db","resolution":{"observed_at":"2026-08-15T14:25:46.798643Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.07332","last_updated":"2026-06-09T21:30:32Z","snapshot_observed_at":"2026-08-09T15:43:09.649238Z","submitted_at":"2025-11-10T17:35:21Z","title":"Grounding Computer Use Agents on Human Demonstrations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.07332","snapshot_observed_at":"2026-08-15T14:25:46.528339Z","title":"arXiv preprint arXiv:2511.07332 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.528339Z"},"links":{"cited_paper":"/paper/2511.07332","citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:36cbe2219a548128326a762197ca6954848d3197f04b153829e5a05f0d8deb45","observation_id":"e5570cba-939b-4817-9d19-62789e66478b","resolution":{"observed_at":"2026-08-15T14:25:46.528339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.531417Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.531417Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:5ba7960021cf4ded9018b92aabce811478d49ad1f556e468ef06cfd34c3dfea5","observation_id":"3309aad1-4bc3-4bec-ad40-a60a6510f894","resolution":{"observed_at":"2026-08-15T14:25:46.531417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:46.534290Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.534290Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:74820c4043f371e5be01494f912b757b4339d8742c033ef72839e563de7e7632","observation_id":"cc125295-fde1-48c7-a604-c9c2e1aa08dd","resolution":{"observed_at":"2026-08-15T14:25:46.534290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:25:47.099045Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":"57bd5db9-05ae-45e1-b896-fbc477966bb0","year":2024},"citing_paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-08-15T14:25:46.537034Z"},"links":{"citing_paper":"/paper/2608.10366"},"observation_digest":"sha256:75e99409239dae54ffa4484d07b695a61134934b028c4b35062ab5459468de28","observation_id":"4962b42c-278e-4bed-9518-cca4b0c46295","resolution":{"observed_at":"2026-08-15T14:25:47.101695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.10366","last_updated":"2026-08-11T01:45:56Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-15T22:38:50.645098Z","submitted_at":"2026-08-11T01:45:56Z","title":"DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":1,"unresolved":76,"verified_exact":0,"verified_fuzzy":22},"total_outbound_references":109},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 0 inbound Pith citation observations for arXiv:2608.10366."}