{"as_of":"2026-08-08T01:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c0bb82b9ed173cd3adc1556bb377e9ff97cfa69fa756f1e7685082d2fe4079ff","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:27:46.965142Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T14:37:13.189800Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-15T18:51:30.623605Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"cited_work":{"arxiv_id":"2505.15859","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.15859","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Autodata: A multi-agent system for open web data collection","venue":null,"work_id":"409e80bb-38d1-49a2-aa5c-5188f253942a","year":2025},"citing_paper":{"arxiv_id":"2602.23452","last_updated":"2026-05-01T20:05:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-26T19:17:39Z","title":"CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-15T18:50:13.036260Z"},"links":{"cited_paper":"/paper/2505.15859","citing_paper":"/paper/2602.23452"},"observation_digest":"sha256:3b39d80273abb79ab7c0501a3e5d0282b3680f8277cadf55744771beaba049a8","observation_id":"764b8b66-2145-499e-8dd9-9c055a3afe41","resolution":{"observed_at":"2026-05-15T18:51:30.626981Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"cited_work":{"arxiv_id":"2505.15859","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.15859","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Autodata: A multi-agent system for open web data collection","venue":null,"work_id":"409e80bb-38d1-49a2-aa5c-5188f253942a","year":2025},"citing_paper":{"arxiv_id":"2605.08583","last_updated":"2026-07-14T18:45:18Z","snapshot_observed_at":"2026-08-02T14:37:11.023209Z","submitted_at":"2026-05-09T00:53:24Z","title":"Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T01:18:56.043672Z"},"links":{"cited_paper":"/paper/2505.15859","citing_paper":"/paper/2605.08583"},"observation_digest":"sha256:1f90139869a6e1541aa45d623cc34ec3aa034101f2da7dcb9b06aafcc9c64b01","observation_id":"1657face-e72a-4ee6-87d3-e5e4d66b5dd3","resolution":{"observed_at":"2026-05-12T08:06:28.856263Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.15859","snapshot_observed_at":"2026-08-02T14:37:13.189800Z","title":"Autodata: A multi-agent system for open web data collection.arXiv preprint arXiv:2505.15859, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.08583","last_updated":"2026-07-14T18:45:18Z","snapshot_observed_at":"2026-08-02T14:37:11.023209Z","submitted_at":"2026-05-09T00:53:24Z","title":"Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T14:37:13.189800Z"},"links":{"cited_paper":"/paper/2505.15859","citing_paper":"/paper/2605.08583"},"observation_digest":"sha256:50a2da4ae4ce98d7ffba33553a2f9a24074146d2bac9df82f0d63f5e0ea1021d","observation_id":"cf6c0464-ebad-482c-b510-005a1034f7d5","resolution":{"observed_at":"2026-08-02T14:37:13.189800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.15859/citation-record","integrity":"/paper/2505.15859/integrity","json":"/paper/2505.15859/citation-record.json","paper":"/paper/2505.15859"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:53.036323Z","title":"Drivingdojo dataset: Advancing interactive and knowledge-enriched driving world model","venue":null,"work_id":"70ba5f4e-7e4b-4862-a272-b62f1a93407a","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.669406Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:1f66210cb20b7dfecc4fe665472dfee80e85bdb1abb9914987b23ac847431436","observation_id":"016f5699-9bba-41fd-a7a3-632ee5f1432e","resolution":{"observed_at":"2026-08-07T15:27:53.065773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.881247Z","title":"Olympicarena: Benchmarking multi-discipline cognitive reasoning for superintelligent ai","venue":null,"work_id":"d5300809-cf44-4952-b62b-57378ddb9422","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.695958Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:e2e2d83860f153b5e82db3436ca7ad5117c3ef2808447c9e855c8a31d52db507","observation_id":"032c3fc4-860f-4474-91da-57d881791d8d","resolution":{"observed_at":"2026-08-07T15:27:52.950696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.754680Z","title":"Adaptive graph enhancement for imbalanced multi-relation graph learning","venue":null,"work_id":"452b812d-5fde-419b-84ff-aefb106cbfc1","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.737899Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:c29359e9332883b468e77c5e7f448b22d8fa3ccb7a4c3a774188276737c44ef2","observation_id":"d4f9a0db-ca14-4a2d-88d0-458f4f6c7355","resolution":{"observed_at":"2026-08-07T15:27:52.818928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.606097Z","title":"The fineweb datasets: Decanting the web for the finest text data at scale","venue":null,"work_id":"faea9f9b-15ef-4e94-af2c-a1595ec27e6d","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.768897Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:548e44cb4eaf6bf0e13bfdc62928b94b8cbe02e06175fd87aadb8eb38e798079","observation_id":"837d8209-d252-43a5-9626-f399ba9800c3","resolution":{"observed_at":"2026-08-07T15:27:52.671469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.500328Z","title":"Diet-odin: A novel framework for opioid misuse detection with interpretable dietary patterns","venue":null,"work_id":"cf48ac9b-7229-432a-a599-d4a312cc0e8f","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.808446Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:fe782425fbb17edcd68a05cf51d93c4f728949bcf64928f66a885d31bd012faa","observation_id":"d7903b6f-17bd-460f-9195-14bf1f28e71b","resolution":{"observed_at":"2026-08-07T15:27:52.546717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.392909Z","title":"Openwebmath: An open dataset of high-quality mathematical web text","venue":null,"work_id":"dbbb172d-a9a8-4e00-aeb0-c0d21ed1118a","year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.842921Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:f273483a0cecd162bdc8e0b9de50172b32bc4bba5be1f7fe7a450dd679e40394","observation_id":"662a6eb0-9739-4732-b4d1-5ca2630d20cc","resolution":{"observed_at":"2026-08-07T15:27:52.439711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.273054Z","title":"Dual-level hypergraph contrastive learning with adaptive temperature enhancement","venue":null,"work_id":"c9524842-78ab-4bcc-b668-1a59bc30c992","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.912224Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:8599d6720cdacdd8cc405a4a70b9ca7fdab9e0047112ff3d92dc8b6209501491","observation_id":"2db29b08-fba1-45c9-a508-338fda18cd98","resolution":{"observed_at":"2026-08-07T15:27:52.339377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.166192Z","title":"Hypergraph contrastive learning for drug trafficking community detection","venue":null,"work_id":"da1cfa6d-2391-4194-b82c-ed1b955b2e0d","year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.951228Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:00844894d9b6b8a6c028cda418f1dc9348d8631482ece14bc5e4404bc0fc550a","observation_id":"4e7051a2-ab19-4cf0-b610-b0c4ec569796","resolution":{"observed_at":"2026-08-07T15:27:52.208617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15547","last_updated":"2024-12-20T04:13:46Z","snapshot_observed_at":"2026-07-06T20:10:37.385214Z","submitted_at":"2024-12-20T04:13:46Z","title":"NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning","version":1},"cited_work":{"arxiv_id":"2412.15547","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.15547","snapshot_observed_at":"2026-08-07T15:27:47.492970Z","title":"NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning","venue":"cs.CL","work_id":"3322f705-9c81-4746-87e6-c6cd037cbe7b","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:42.986276Z"},"links":{"cited_paper":"/paper/2412.15547","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:edfeea7a6a9380492cecf4bd6d232d7787b5741ec162c5fb6a2119f6ffad9c7a","observation_id":"7aa412ee-1e7a-447b-898f-00401250b109","resolution":{"observed_at":"2026-08-07T15:27:47.511649Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:52.073667Z","title":"Can llms convert graphs to text-attributed graphs? InNACCL, 2025","venue":null,"work_id":"a4064617-b1dd-4224-b4bf-2d9d26e8d13a","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.031856Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:12d08d4bec846b8353866f48a8f21c7d670c9202cd57dbfbb54b4eef9b92f471","observation_id":"4b7dd37e-a900-4f1a-bf2f-d02aa97ff9d1","resolution":{"observed_at":"2026-08-07T15:27:52.121757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11338","last_updated":"2026-04-19T00:17:32Z","snapshot_observed_at":"2026-07-06T19:03:52.342045Z","submitted_at":"2024-08-21T04:45:12Z","title":"Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11338","snapshot_observed_at":"2026-08-07T15:27:43.078991Z","title":"Automatic dataset construction (adc): Sample collection, data curation, and beyond.arXiv preprint arXiv:2408.11338, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.078991Z"},"links":{"cited_paper":"/paper/2408.11338","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:fe68d50fdee51e38eb5d3825f454b6cbaeb4e75a3d5e937dc71f941087e8842a","observation_id":"ad9aa2a7-d5bc-481b-afde-fbf9b171e450","resolution":{"observed_at":"2026-08-07T15:27:43.078991Z","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":"2026-08-07T15:27:51.992267Z","title":"Tool-planner: Task planning with clusters across multiple tools","venue":null,"work_id":"2ce95d6d-cacd-4628-8c0d-b0e92b63f7c6","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.130677Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:5c4d92a256485fcd21acfaec32eddfd8e73486dff706df00148cae4dbfea6fb5","observation_id":"b2e257a4-04fd-47e4-acdb-c92ab4fa671b","resolution":{"observed_at":"2026-08-07T15:27:52.019656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:43.179896Z","title":"Tool learning with foundation models.ACM Comput","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.179896Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:a4556e3abf243a18ca52aa20c114c5e57f73079690ed9c633bdd14860ba334c6","observation_id":"a9d45adf-5cb4-4563-b500-210db57746cd","resolution":{"observed_at":"2026-08-07T15:27:43.179896Z","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":"2026-08-07T15:27:51.905703Z","title":"Llm-empowered class imbalanced graph prompt learning for online drug trafficking detection","venue":null,"work_id":"06fba08f-946e-4182-9f1c-d4561dd8678a","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.224737Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ee8c455828f9f008d6e9942cbb74895d20cf0a101f4f9d52245a52553d3bd0f8","observation_id":"1d0b8d62-4308-4bba-8b11-41fdd5594979","resolution":{"observed_at":"2026-08-07T15:27:51.939860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:51.793390Z","title":"From one tree to a forest: a unified solution for structured web data extraction","venue":null,"work_id":"046268d2-e89f-4412-b503-387977f37ef3","year":2011},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.289977Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:34144191d423e22229b564619311326254b26d83008781dd58100f8b56f73fe5","observation_id":"6d1ade48-9ef4-4d0f-b55b-2072f6945ffe","resolution":{"observed_at":"2026-08-07T15:27:51.840393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:51.661062Z","title":"Synthesis of forgiving data extractors","venue":null,"work_id":"c83e87a6-65c8-4f21-ab0f-e204722d6440","year":2017},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.332477Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:3d1aa8847ef2ed7b0dd7db949b6e4efab1d2b09481804ba21ad01b0a64f59da5","observation_id":"1ed538d0-0ad9-44b5-834a-8a3d5c530ae0","resolution":{"observed_at":"2026-08-07T15:27:51.732169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15564","last_updated":"2025-02-21T16:24:24Z","snapshot_observed_at":"2026-08-07T17:58:06.450954Z","submitted_at":"2025-02-21T16:24:24Z","title":"Adaptive Expansion for Hypergraph Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15564","snapshot_observed_at":"2026-08-07T15:27:43.399197Z","title":"Adaptive expansion for hypergraph learning.arXiv preprint arXiv:2502.15564, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.399197Z"},"links":{"cited_paper":"/paper/2502.15564","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:1ec7f8788d84f61d1e594f69937b9837dab5f2b1607287a8724c24332b57403a","observation_id":"db1eba95-7604-4223-9fed-849ffea05431","resolution":{"observed_at":"2026-08-07T15:27:43.399197Z","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":"2026-08-07T15:27:51.529768Z","title":"Towards learning generalities across graphs via task-trees","venue":null,"work_id":"14a3d4f7-4a60-45c4-9c87-4642b290ed59","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.449925Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:1242d072dbd87e4b21154c1fda7c475e6b2d0dbe52709e12e80cd40cc26c6813","observation_id":"a1294439-b19b-406d-b41f-b09d6b85121b","resolution":{"observed_at":"2026-08-07T15:27:51.581594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:51.415347Z","title":"Neural graph pattern machine","venue":null,"work_id":"27d879a4-a788-4700-86c4-2b45b1b917ec","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.493121Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:e87b14e500bfa5895146920327d6547b333100113b8f9ad4777ee8d1ba17e515","observation_id":"f6e86a1d-da4d-4147-ac50-06e56288f9f6","resolution":{"observed_at":"2026-08-07T15:27:51.464149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:43.554298Z","title":"Toolllm: Facilitating large language models to master 16000+ real-world apis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.554298Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:b2501291e4779092374c5eab3374877e9ccd1afe246230ad98bd8cbcf6287d82","observation_id":"5ff337db-09d9-4353-bc46-21496b6e99d3","resolution":{"observed_at":"2026-08-07T15:27:43.554298Z","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":"2026-08-07T15:27:51.281690Z","title":"O’Reilly Media, Inc., 2018","venue":null,"work_id":"b0b5fe1c-623e-493f-b9d5-8945088cd041","year":2018},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.619254Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:d63174ec6d35564274c5514adaaabb2de4c0f9234fff704042f94634c9b976fc","observation_id":"a178e0dc-64dd-4342-8fcf-0001996ccfce","resolution":{"observed_at":"2026-08-07T15:27:51.349964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:51.143921Z","title":"Web scraping technologies in an api world.Briefings in bioinformatics, 15(5):788–797, 2014","venue":null,"work_id":"d4a30236-6b1d-4bf5-9f0d-b83a13ab6553","year":2014},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.670030Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:11acde32b31cfaa5f4b734b125beb95f7bf129a615e54e23d3d6ec5f7771fca9","observation_id":"918b9604-167c-45b0-8a4c-91ed7040b3b6","resolution":{"observed_at":"2026-08-07T15:27:51.215023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:51.025378Z","title":"Web scraping or web crawling: State of art, techniques, approaches and application.International Journal of Advances in Soft Computing & Its Applications, 13(3), 2021","venue":null,"work_id":"42bb9192-ebc5-43b1-8384-63875232a3e3","year":2021},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.730263Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ec261d97804f68f2f5600d7906e6183b796937d78f9dde555c81c11bc785e7ed","observation_id":"986fb204-11b5-4259-af4d-fb81ad841293","resolution":{"observed_at":"2026-08-07T15:27:51.082432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18041","last_updated":"2024-02-28T04:35:51Z","snapshot_observed_at":"2026-07-06T17:36:36.437597Z","submitted_at":"2024-02-28T04:35:51Z","title":"Datasets for Large Language Models: A Comprehensive Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18041","snapshot_observed_at":"2026-08-07T15:27:43.774684Z","title":"Datasets for large language models: A comprehensive survey.arXiv preprint arXiv:2402.18041, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.774684Z"},"links":{"cited_paper":"/paper/2402.18041","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:aeb31f3d8242451787d02fb0daa12d8a57d8189cd0619055902f6dd8e5f3c27c","observation_id":"fb1b238b-7c38-4c83-a1be-ad3ad378718b","resolution":{"observed_at":"2026-08-07T15:27:43.774684Z","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":"2026-08-07T15:27:50.864995Z","title":"ChatDev: Communicative agents for software development","venue":null,"work_id":"512e9cc5-0541-4611-bdb9-aab5e8b0d3b4","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.838274Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:84f597a8866ddcea6204925aa98629251064e7e6fa3f369666da48417a0a0525","observation_id":"6a3302e0-1489-4504-a034-1aae938b912a","resolution":{"observed_at":"2026-08-07T15:27:50.958518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:43.913390Z","title":"MetaGPT: Meta programming for a multi-agent collaborative framework","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.913390Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:164455972b8fdf5173658d55186c222fcb87d14ca05ec65922f84c4ec1a3699f","observation_id":"3eabe26f-9960-4c95-a8ba-cd4dacb5b663","resolution":{"observed_at":"2026-08-07T15:27:43.913390Z","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":"2026-08-07T15:27:50.752572Z","title":"Self-collaboration code generation via chatgpt","venue":null,"work_id":"bab90b77-994a-4ffa-b4d5-7d47be7282ad","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.027902Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ec1db1ef135a2c38c96cb26ce49b87241c3c0751b3bc45f6d5558c173cc85188","observation_id":"2edbf453-7e32-4424-96d4-9c8617aab828","resolution":{"observed_at":"2026-08-07T15:27:50.801185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:44.079007Z","title":"Improving factuality and reasoning in language models through multiagent debate","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.079007Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:e267493c70d1c9ef28dcf5ba05586f036af4d2ee53e6f6647cd55f4c975f839f","observation_id":"c70b1a76-62f7-492b-a80d-e4dc280d86ea","resolution":{"observed_at":"2026-08-07T15:27:44.079007Z","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":"2026-08-07T15:27:50.634329Z","title":"Chateval: Towards better llm-based evaluators through multi-agent debate","venue":null,"work_id":"ecb60f14-77e9-4b5c-8db6-c6bfa13c9ec7","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.147187Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:2f61a3e20f4e13024f64cd2a27398c5e967d41e4f9a81eb8f4b17c3f33e09efa","observation_id":"786b1f91-d9d1-4312-a71f-b98787381ae4","resolution":{"observed_at":"2026-08-07T15:27:50.678461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:50.495683Z","title":"Agentcf: Collaborative learning with autonomous language agents for recommender systems","venue":null,"work_id":"03ebfaf5-2737-48c3-a9d5-ba23d66f1a99","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.212665Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:edb4759848fd3945d43f6599d13f0e8cbdca7b1dfe434875f16da21c2805f634","observation_id":"faee287e-b1a9-4c8a-81d6-43a48f1221af","resolution":{"observed_at":"2026-08-07T15:27:50.567861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:50.363146Z","title":"Mopi-hfrs: A multi-objective personalized health-aware food recommendation system with llm-enhanced interpretation","venue":null,"work_id":"982e70ab-65b9-4b3e-9149-84c94c03dd90","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.251584Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:5100f14115fbade64a949fcd3d3739e2149e2bc6997f14b3a058384604776759","observation_id":"762d0280-8861-4576-b254-d66f8d1feb48","resolution":{"observed_at":"2026-08-07T15:27:50.416860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:44.324832Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.324832Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:d1861aceefd1b3555914bb09127f949354d14236e45a2b4b966b2e9dd61544f6","observation_id":"18c27939-8d6f-4b9c-8972-94aa87a1bdb3","resolution":{"observed_at":"2026-08-07T15:27:44.324832Z","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":"2026-08-07T15:27:44.422288Z","title":"Reflective multi-agent collaboration based on large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.422288Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ea9dcb66145e528e1f27c061ebeacc79bb2aa695b32c32de249619030f58d63e","observation_id":"cb494d7d-e9d9-49d8-b702-d8632556f4fb","resolution":{"observed_at":"2026-08-07T15:27:44.422288Z","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":"2026-08-07T15:27:50.241339Z","title":"Camel: Communicative agents for\" mind\" exploration of large scale language model society","venue":null,"work_id":"8145c068-9862-4252-b984-57540eb6f687","year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.454182Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:d810df0a17d3cef5305d774962a5d43f22547771c2fc10b003225fc15110a146","observation_id":"773ef901-1fd4-4276-bcb2-e808d70aa14f","resolution":{"observed_at":"2026-08-07T15:27:50.288936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14454","last_updated":"2024-12-19T02:09:59Z","snapshot_observed_at":"2026-07-06T20:09:42.677491Z","submitted_at":"2024-12-19T02:09:59Z","title":"Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14454","snapshot_observed_at":"2026-08-07T15:27:44.516169Z","title":"Are longer prompts always bet- ter? prompt selection in large language models for recommendation systems.arXiv preprint arXiv:2412.14454, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.516169Z"},"links":{"cited_paper":"/paper/2412.14454","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:b5c2d4e4ef3a2858e6423916e1337c4915a5f7f2b99a50468b323c81551eb90f","observation_id":"96a8f860-89cf-450a-8125-f2f81fccd38f","resolution":{"observed_at":"2026-08-07T15:27:44.516169Z","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":"2026-08-07T15:27:50.123536Z","title":"Multi-agent discussion mechanism for natural language generation","venue":null,"work_id":"81116b85-197c-4fe5-ae20-7add20e7f679","year":2019},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.598300Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:01fe9a3d78c64fb688e6f659a5b4026cffa73a1da21d06e93cd7e93e178a6c37","observation_id":"de6f6ea7-9a77-4d63-be54-4ec0a8846f9a","resolution":{"observed_at":"2026-08-07T15:27:50.189758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08155","last_updated":"2023-10-03T20:47:10Z","snapshot_observed_at":"2026-07-31T19:03:03.494918Z","submitted_at":"2023-08-16T05:57:52Z","title":"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08155","snapshot_observed_at":"2026-08-07T15:27:44.682840Z","title":"Autogen: Enabling next-gen llm applications via multi-agent conversation.arXiv preprint arXiv:2308.08155, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.682840Z"},"links":{"cited_paper":"/paper/2308.08155","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:08ccf65acb00ea1d7db2ff7a77d3852730a7c11869e548d639747f93fe2fe8f5","observation_id":"07a315c8-4ce6-45e3-888e-29ecaadd44c0","resolution":{"observed_at":"2026-08-07T15:27:44.682840Z","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":"2026-08-07T15:27:50.005357Z","title":"Generative agents: Interactive simulacra of human behavior","venue":null,"work_id":"b620bc3b-dfd0-4fa4-a69d-de4d954dbe7f","year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.726706Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:d1a6cf635e223f4fd3652a98959439f974b24a9c805b692b5c751c32e9f1971b","observation_id":"7253b641-800a-4fdd-9816-2c3bafac4e94","resolution":{"observed_at":"2026-08-07T15:27:50.068743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:49.847276Z","title":"Building cooperative embodied agents modularly with large language models","venue":null,"work_id":"9a09598f-4291-4895-a80b-59fc1ad7e1a0","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.770072Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ac84dc91fb3cae36b9d5545e389cd435c173f63668fe6e44da6b773d3f6d25ee","observation_id":"556a11c5-d165-4941-b1f6-af060397241f","resolution":{"observed_at":"2026-08-07T15:27:49.916697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:49.737040Z","title":"Openceres: When open information extraction meets the semi-structured web","venue":null,"work_id":"f8f3e851-121f-45c3-a6bc-7b3430c1329a","year":2019},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.843941Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:c43508b3fb7583001dc56995bf4b6a01969efd62a23aa09881fcc8c3c042f737","observation_id":"3f7111d9-6f9d-45ed-8ac8-73352224dd78","resolution":{"observed_at":"2026-08-07T15:27:49.800631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:49.616717Z","title":"Zeroshotceres: Zero-shot relation extraction from semi-structured webpages","venue":null,"work_id":"08fd7258-bf8c-4ab4-9dc9-9c9a10f0cbb0","year":2020},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.925083Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:891b6d4bed6164d8cb561c3c0512c8e81366b0cb97f0b9e95d25d42bbbc8c41b","observation_id":"ac750c8d-c1b0-4ba2-9878-808ac025db09","resolution":{"observed_at":"2026-08-07T15:27:49.666679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:49.544274Z","title":"Leave it to manus, 2025","venue":null,"work_id":"b4a2f851-928b-487e-a914-48660d59d4a8","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:44.959273Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:b9ea4d945127ec56602da1302b22a929baaa0573fa99012d4a640a1f3bfd745e","observation_id":"f70b35db-b743-4896-b2e8-4215b916f5f7","resolution":{"observed_at":"2026-08-07T15:27:49.588320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:49.416260Z","title":"Autoagent: A fully-automated and zero-code framework for llm agents.arXiv e-prints, pages arXiv–2502, 2025","venue":null,"work_id":"7dee9276-bf0d-4e36-b0b3-a64c9f557f9c","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.011841Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:5e8233265372490bc5d1f2d60d2adf5c899ab5e30216314f7c5ed0955e3320af","observation_id":"35e39be6-f235-4654-95e5-8f4c98141cbc","resolution":{"observed_at":"2026-08-07T15:27:49.463016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:45.126070Z","title":"Openmanus: An open-source framework for building general ai agents, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.126070Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:c09ce5a85a04d3419b1b5e5468dd53b4ea8ee86e23a5d7a1cb5b5d80d499ae1c","observation_id":"ce8c73f2-25de-4e31-a3fe-51d3333a536e","resolution":{"observed_at":"2026-08-07T15:27:45.126070Z","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":"2026-08-07T15:27:49.292789Z","title":"Autoagents: The automatic agents generation framework","venue":null,"work_id":"667c21c6-1d05-40d7-8c76-9ebfb91a6262","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.174554Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ce7700f70539f9d77097edecbe9d7cdb8aac749ca1ed7098c454b4d3721579f4","observation_id":"65cf4d06-9db3-4ec0-ab57-ee1f9148a59a","resolution":{"observed_at":"2026-08-07T15:27:49.362598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:49.170671Z","title":"Cline, the collaborative ai coder, 2024","venue":null,"work_id":"74410d23-33ca-4518-843a-67e8fa5e16c9","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.227446Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:0da92064b05ae6fe18ee7d5640a5e30de4da986bda604e3d33f7eec684e51da7","observation_id":"639153bf-19c0-4c01-b120-5fc17c37f08e","resolution":{"observed_at":"2026-08-07T15:27:49.193297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:49.066805Z","title":"Cursor ide, 2025","venue":null,"work_id":"62db98d6-47b1-44f3-bfd0-0a8cc33c75d0","year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.271249Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:e10b5d38209d09872398aa4621b44a8f787bf64ccbe1ff994051e06635743847","observation_id":"4e6ceb7b-3669-4d25-ad33-7c1d2a1af1c3","resolution":{"observed_at":"2026-08-07T15:27:49.140822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:45.358045Z","title":"Chain-of-thought prompting elicits reasoning in large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.358045Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:44587eeb0938abfafd7a901cc3ef847c3bf88a1db667129f94a09d8dcf97ac89","observation_id":"f3808902-a748-4893-894e-c356771a9dae","resolution":{"observed_at":"2026-08-07T15:27:45.358045Z","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":"2026-08-07T15:27:45.448989Z","title":"Reflexion: Language agents with verbal reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.448989Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:291c54bcaba159f363a821cce0a2630625645b985a78e30a12b0c22eadc847de","observation_id":"47377260-6f0e-4653-9ce6-c1104e4fcb51","resolution":{"observed_at":"2026-08-07T15:27:45.448989Z","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":"2026-08-07T15:27:48.959515Z","title":"Autoscraper: A progressive understanding web agent for web scraper generation","venue":null,"work_id":"e071f749-3263-48ef-b041-49c9a4a9d6e5","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.504232Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:78b93b31c95592937c29ac9808e7dfbf3fbe4e2f1897bfc28ed17c4964e24bf6","observation_id":"984807a0-3027-4907-a8ae-7035efd8eb24","resolution":{"observed_at":"2026-08-07T15:27:48.980890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:45.553658Z","title":"Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240): 1–113, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.553658Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:4965cc66b4c515c0bdb68e825a6b8012d691a9c009482c5624bc603a646df79b","observation_id":"422914e4-5f7d-437e-b0de-659835d4910d","resolution":{"observed_at":"2026-08-07T15:27:45.553658Z","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":"2026-07-06T02:11:23.670680Z","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":"2026-08-07T15:27:45.655375Z","title":"Evaluating large language models trained on code.arXiv preprint arXiv:2107.03374, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.655375Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:c154875be45773ee4e1ce03c52e73a502ef22cd9bf8756eeefbbc906129c0d29","observation_id":"dcab8ebc-6b3b-4fb0-8b95-906322860fee","resolution":{"observed_at":"2026-08-07T15:27:45.655375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T15:27:45.734172Z","title":"Gpt-4 technical report.arXiv preprint arXiv:2303.08774, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.734172Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:4143bd0eebb7b349771c12a7b9e023800d2d60b06926f272fcb960e60d128339","observation_id":"f5e7b1e1-f0be-4955-bc0d-f4ca638c61e4","resolution":{"observed_at":"2026-08-07T15:27:45.734172Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-07T15:27:45.807157Z","title":"Gpt-4o system card.arXiv preprint arXiv:2410.21276, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.807157Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:54d4b43fad1c2c5e6c6e4f3c26e051974b3f7aa6135c95a37f59f3c71b89a8d5","observation_id":"d0db6b74-8b51-4fc7-bc97-b3e8ba2fd9ac","resolution":{"observed_at":"2026-08-07T15:27:45.807157Z","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":"2026-08-07T15:27:48.816073Z","title":"Verbal and visual literacy: the role of picturebooks in the reading experience of young children.Handbook of early childhood literacy, pages 235–248, 2003","venue":null,"work_id":"413a9751-fe8f-429c-8574-dbc8a4a1da0e","year":2003},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.912825Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:00543356e2dc3a494dfc83e83edfbb27e9f74b7d7fd8e06763d00dcda6d112da","observation_id":"4b27298e-007d-447e-94a9-fc79b4f7b113","resolution":{"observed_at":"2026-08-07T15:27:48.890228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:48.698041Z","title":"Mirrors, windows, and sliding glass doors","venue":null,"work_id":"e298f8fc-c093-4f9f-9cd1-b0500b8a68d9","year":1990},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.962269Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:a15e8e98e656ca8a52c5f193db2aa88d9b4021188e345e7d1311daf430ac1500","observation_id":"e3205e7d-8e5d-42ba-ba8f-e882d2d29436","resolution":{"observed_at":"2026-08-07T15:27:48.733582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:48.555949Z","title":"https://dlp.lib.miamioh.edu/ picturebook/","venue":null,"work_id":"ae2c89ac-0b05-4002-affb-0a5ea58a64ba","year":null},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:45.996893Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:df0afc19de524906cdfd75194a8ea81aeabad6b5e9d46e7f6fdeee0e14bfd58f","observation_id":"f4ebb9ad-9d52-4af8-a5bd-a9a23036714a","resolution":{"observed_at":"2026-08-07T15:27:48.644684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13501","last_updated":"2024-04-21T01:49:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-21T01:49:46Z","title":"A Survey on the Memory Mechanism of Large Language Model based Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13501","snapshot_observed_at":"2026-08-07T15:27:46.029851Z","title":"A survey on the memory mechanism of large language model based agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.029851Z"},"links":{"cited_paper":"/paper/2404.13501","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:41ea17a62231b6f5f4197a7959ea2f9ea17cde6b003aa7a21a119e5e6f7ea863","observation_id":"177a9faf-ca5a-422b-bc2c-4a0c64c11cdf","resolution":{"observed_at":"2026-08-07T15:27:46.029851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02479","last_updated":"2025-04-13T09:42:30Z","snapshot_observed_at":"2026-07-06T18:56:57.369673Z","submitted_at":"2024-08-05T14:01:15Z","title":"From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02479","snapshot_observed_at":"2026-08-07T15:27:46.092115Z","title":"From llms to llm-based agents for software engineering: A survey of current, challenges and future.arXiv preprint arXiv:2408.02479, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.092115Z"},"links":{"cited_paper":"/paper/2408.02479","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:643b529f3943c8de8cf1af8706c8725d71cdcf45f7f1d263f48c11e553b06e79","observation_id":"f1ee7180-cc92-49da-9b40-6616f15bc654","resolution":{"observed_at":"2026-08-07T15:27:46.092115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01680","last_updated":"2024-04-19T01:15:16Z","snapshot_observed_at":"2026-08-06T19:10:15.466826Z","submitted_at":"2024-01-21T23:36:14Z","title":"Large Language Model based Multi-Agents: A Survey of Progress and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01680","snapshot_observed_at":"2026-08-07T15:27:46.180958Z","title":"Large language model based multi-agents: A survey of progress and challenges.arXiv preprint arXiv:2402.01680, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.180958Z"},"links":{"cited_paper":"/paper/2402.01680","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:db25f875e01bf20a145e199c5dc278dcac2410fa264f75260debeeb81a5f8f83","observation_id":"879cafcd-0207-4649-982c-29a917a7f5c3","resolution":{"observed_at":"2026-08-07T15:27:46.180958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14743","last_updated":"2025-02-21T02:41:44Z","snapshot_observed_at":"2026-08-07T18:01:22.870258Z","submitted_at":"2025-02-20T17:12:45Z","title":"Multi-Agent Coordination across Diverse Applications: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14743","snapshot_observed_at":"2026-08-07T15:27:46.217367Z","title":"Multi-agent coordination across diverse applications: A survey.arXiv preprint arXiv:2502.14743, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.217367Z"},"links":{"cited_paper":"/paper/2502.14743","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:4a86a6ba167796cb57b282d0ad2ab0e7e6a3a2d032c0955d5f5d9a8a28b5d0c4","observation_id":"284d244c-2492-4ccd-a38e-f041caeca7f2","resolution":{"observed_at":"2026-08-07T15:27:46.217367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11584","last_updated":"2024-04-17T17:32:41Z","snapshot_observed_at":"2026-08-04T23:37:27.678120Z","submitted_at":"2024-04-17T17:32:41Z","title":"The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11584","snapshot_observed_at":"2026-08-07T15:27:46.292386Z","title":"The landscape of emerging ai agent architectures for reasoning, planning, and tool calling: A survey.arXiv preprint arXiv:2404.11584, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.292386Z"},"links":{"cited_paper":"/paper/2404.11584","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:0fa8297a34aa82a59d8847adb419815464f126e1653be6fdd014a55b91e86772","observation_id":"6e01f4e1-1eb8-40d7-8b1d-7559bb1f023d","resolution":{"observed_at":"2026-08-07T15:27:46.292386Z","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":"2026-08-07T15:27:48.431856Z","title":"Accelerating scientific breakthroughs with an ai co-scientist, 2024","venue":null,"work_id":"0dc10b8f-963d-471c-8a01-f58142088884","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.383483Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:4d49ffa3e3046898de1611e8e1f42fe3e0fa9466a6f989c86d665b201c4dad55","observation_id":"e7059363-c662-42ad-98aa-ff8873625778","resolution":{"observed_at":"2026-08-07T15:27:48.462039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:48.294729Z","title":"Webarena: A realistic web environment for building autonomous agents","venue":null,"work_id":"fcfa6b8e-ec0e-4ca8-be85-27c342e1a353","year":2023},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.439048Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:c555a70d33bddbc29b7f033893b32709f8a7753767b41059d02174ec4a451e01","observation_id":"a708c093-6d80-4990-89a1-555670af3a70","resolution":{"observed_at":"2026-08-07T15:27:48.374654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:48.196851Z","title":"AutoScraper: A smart, automatic, fast and lightweight web scraper for python,","venue":null,"work_id":"bc30d9b1-dccc-4580-8f08-c908158853a5","year":null},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.493050Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:41302fa2884332c26dfe92f76baeb55686ec4ec8e17c85126509e91b3c4f9640","observation_id":"645c06aa-208c-4930-8af8-3949dffa4d24","resolution":{"observed_at":"2026-08-07T15:27:48.241751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15453","last_updated":"2024-03-18T20:10:44Z","snapshot_observed_at":"2026-07-06T17:49:11.762370Z","submitted_at":"2024-03-18T20:10:44Z","title":"Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction","version":1},"cited_work":{"arxiv_id":"2403.15453","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.15453","snapshot_observed_at":"2026-08-07T15:27:47.252461Z","title":"Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction","venue":"cs.CL","work_id":"e876bd23-2e59-4aad-98b9-2fc854d9a824","year":2024},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.663070Z"},"links":{"cited_paper":"/paper/2403.15453","citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:29cae9dcb06531c9055b90deaac90d0c5f433ec440b8f5b42f7e799304b0f6d2","observation_id":"6c5e834f-0789-4624-a7c0-2816981bc856","resolution":{"observed_at":"2026-08-07T15:27:47.295806Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:47.959475Z","title":"A survey on deep learning for named entity recognition.IEEE transactions on knowledge and data engineering, 34(1):50–70, 2020","venue":null,"work_id":"dd1df3e4-ef38-4d7c-a175-580e43dfe96f","year":2020},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.714865Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:bcfc65ccdf374e8b81be6387de07b7f03e1a0db953bae51483a90a56c423483a","observation_id":"c8cb3f43-7980-46c3-9a9c-3c9640d00f75","resolution":{"observed_at":"2026-08-07T15:27:48.006036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:47.802679Z","title":"Entity linking with a knowledge base: Issues, techniques, and solutions.IEEE Transactions on Knowledge and Data Engineering, 27(2): 443–460, 2014","venue":null,"work_id":"1a67ef82-f743-4016-9c94-d7f23cc576ee","year":2014},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.767113Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ae437817d2da720958a5da2500604deab915d23224529a58cc11748316db73c1","observation_id":"b62e84a9-d54f-42f7-ad76-d39652ba48e3","resolution":{"observed_at":"2026-08-07T15:27:47.852378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:47.697009Z","title":"End-to-end sequence labeling via bi-directional LSTM-CNNs- CRF","venue":null,"work_id":"012e67a0-1f03-4d1c-a028-6dd3a3cfe28c","year":2016},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.814103Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:a9b2c2a07d73bc3218fa99feaa6a4b6a9c920ff6c5067e45213b1f5f4e031e8e","observation_id":"8608dd0e-1082-46ed-bae1-9cbdfcb6af75","resolution":{"observed_at":"2026-08-07T15:27:47.756693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:47.563033Z","title":"Rodney L","venue":null,"work_id":"fac51533-2c05-4e4a-8851-f1a40b10ab61","year":2004},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.909511Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:2b00cf4af54f153c9e8e3d5327b0cb929dbd56be906eee28ddc1008c87ffe3e4","observation_id":"4acd82c0-b5c7-40b2-a509-9b5518578edd","resolution":{"observed_at":"2026-08-07T15:27:47.601872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7498.4693","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:47.141729Z","title":"V olume” string, e.g., “Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics 22 (V olume 1: Long Papers)","venue":null,"work_id":"724f7aaa-0ebf-436c-b1d7-63d601eede03","year":2022},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.965142Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:892167ddca8c3246a4c5780f37261d7474d4b9d82d4dab34bc5201ae9ac1c9b4","observation_id":"e14de681-6cd6-461f-a2cc-44b4c9c14225","resolution":{"observed_at":"2026-08-07T15:27:47.211920Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:48.049385Z","title":null,"venue":null,"work_id":"83925c6a-feb3-4eba-9a43-b1e194568c29","year":null},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:46.571553Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ffb22cbf406b11d2e35bfa99b5ff8864705465530f5d62f7d8eb8c7a96d2d67a","observation_id":"69baaf8a-b981-4681-8236-9f1a8e4ee6cb","resolution":{"observed_at":"2026-08-07T15:27:48.100482Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:27:43.966359Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:43.966359Z"},"links":{"citing_paper":"/paper/2505.15859"},"observation_digest":"sha256:ccbdffc3003779ad06481cdc847cb733506e7f068ad2f3f2d0be59f63782e373","observation_id":"f82c603a-9332-4e44-b2f0-87d54d0678c2","resolution":{"observed_at":"2026-08-07T15:27:43.966359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.15859","last_updated":"2025-05-21T04:32:35Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T15:21:59.167327Z","submitted_at":"2025-05-21T04:32:35Z","title":"AutoData: A Multi-Agent System for Open Web Data Collection"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":3,"verified_fuzzy":45},"total_outbound_references":73},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 3 inbound Pith citation observations for arXiv:2505.15859."}