{"as_of":"2026-08-10T01:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07ffdb5196456b6820bcd26b9e51e1cc56905a61b4510440ebe0ed23177110c2","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:25:56.809828Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T12:33:38.867604Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2409.12186"},"observation_digest":"sha256:bf336494e0696a1d41926d225c159d736d341d3a217abc15f95a22af46b0c29a","observation_id":"6e6963ea-3b6d-40a8-8432-5d5d3e7f93a9","resolution":{"observed_at":"2026-05-10T12:33:39.068779Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2504.02181","last_updated":"2026-04-22T01:49:17Z","snapshot_observed_at":"2026-07-30T09:24:14.725185Z","submitted_at":"2025-04-02T23:51:27Z","title":"A Survey of Scaling in Large Language Model Reasoning","version":2},"reference_index":105,"source":"pdf_text","source_observed_at":"2026-05-22T21:20:07.238992Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2504.02181"},"observation_digest":"sha256:776b254cb43ce2169cdc01964423815c2019c03356c718cae4f1d6c6296361ac","observation_id":"ed2366e0-d98a-4cdc-b79a-f632305c3275","resolution":{"observed_at":"2026-05-22T21:22:09.364756Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2505.05583","last_updated":"2025-05-08T18:27:27Z","snapshot_observed_at":"2026-07-06T21:21:10.492037Z","submitted_at":"2025-05-08T18:27:27Z","title":"KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-22T15:35:23.427742Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2505.05583"},"observation_digest":"sha256:e729e8f895aab678cfa05919fd1954adf566fe2fed78bbd1a9c345e585da9d1d","observation_id":"58b5e258-c888-4157-aed7-ce976b3b6e6d","resolution":{"observed_at":"2026-05-22T15:36:44.949381Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-07T15:09:34.155519Z","title":"Autokaggle: A multi-agent framework for autonomous data science competitions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.16100","last_updated":"2025-05-22T01:02:21Z","snapshot_observed_at":"2026-08-08T09:18:44.401175Z","submitted_at":"2025-05-22T01:02:21Z","title":"BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:34.155519Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2505.16100"},"observation_digest":"sha256:984eb9aa727d20d4e57946a4b65a15d274f901809a77fb51594ab26f6c438842","observation_id":"ad6a749d-e588-4dec-97ff-2c65770d20c2","resolution":{"observed_at":"2026-08-07T15:09:34.155519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-07T05:01:08.574502Z","title":"Autokaggle: A multi-agent framework for autonomous data science competitions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09003","last_updated":"2025-06-11T03:30:10Z","snapshot_observed_at":"2026-08-09T09:48:08.035561Z","submitted_at":"2025-06-10T17:23:33Z","title":"SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T05:01:08.574502Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2506.09003"},"observation_digest":"sha256:f1f9a589b7241c4f114b8f49299cd46537585223cced112a3bf3f9790d5aa761","observation_id":"8e9ec177-bc41-4190-965b-3f7ff071d622","resolution":{"observed_at":"2026-08-07T05:01:08.574502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-06T19:15:33.042830Z","title":"Autokaggle: A multi-agent framework for autonomous data science competitions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06138","last_updated":"2025-07-08T16:20:43Z","snapshot_observed_at":"2026-08-09T09:48:26.239549Z","submitted_at":"2025-07-08T16:20:43Z","title":"Coding Triangle: How Does Large Language Model Understand Code?","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:15:33.042830Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2507.06138"},"observation_digest":"sha256:6b8fc55a5239f05f88f1dacb66f7bb12be52586c11569ca1f5ed058451138a78","observation_id":"f5b4ceed-068e-43fb-ad23-bbc3f8c4f042","resolution":{"observed_at":"2026-08-06T19:15:33.042830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-06T11:44:34.002594Z","title":"Autokaggle: A multi-agent framework for autonomous data science competitions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.22462","last_updated":"2025-08-01T10:07:37Z","snapshot_observed_at":"2026-08-09T15:17:03.370644Z","submitted_at":"2025-07-30T08:08:48Z","title":"IFEvalCode: Controlled Code Generation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:34.002594Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2507.22462"},"observation_digest":"sha256:2db0f9f2527bd52a8b8735335ee92f99032fd585dd705cc5eed9d2fd3f1fb7c6","observation_id":"e4ec9551-eb9f-42f8-8a87-a18bd4ec5166","resolution":{"observed_at":"2026-08-06T11:44:34.002594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2508.10177","last_updated":"2026-04-22T18:28:23Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-13T20:29:56Z","title":"KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-18T22:22:19.478156Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2508.10177"},"observation_digest":"sha256:2fb9436550b625d0d5680873016a44b56f97bb5bb37541bfa52561b7a3e867a1","observation_id":"8fce9f46-61dc-49bb-91c3-c42ff7159270","resolution":{"observed_at":"2026-05-18T22:22:51.760303Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T12:24:02.281057Z","title":"Autokaggle: A multi-agent framework for autonomous data science competitions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01684","last_updated":"2025-09-01T18:04:10Z","snapshot_observed_at":"2026-08-09T08:19:47.205759Z","submitted_at":"2025-09-01T18:04:10Z","title":"Reinforcement Learning for Machine Learning Engineering Agents","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T12:24:02.281057Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2509.01684"},"observation_digest":"sha256:cea88de6695ad84b37a474d49ebc98edfa2fc6ff4acbbb26db4007be414eb4b5","observation_id":"bbc19c93-e2ff-42b8-b25e-cd50ec355bb9","resolution":{"observed_at":"2026-08-05T12:24:02.281057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2604.14655","last_updated":"2026-05-11T06:17:04Z","snapshot_observed_at":"2026-08-03T18:25:43.429312Z","submitted_at":"2026-04-16T06:03:45Z","title":"AgentGA: Evolving Code Solutions in Agent-Seed Space","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-10T11:59:05.907000Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2604.14655"},"observation_digest":"sha256:0e2b8df0bda51989175bffd38d85a6b73c5bb10edbde192d411e839e07211ac1","observation_id":"a50618b7-6b2f-4032-b833-b7a27fdbf557","resolution":{"observed_at":"2026-05-10T12:00:20.933734Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2604.14655","last_updated":"2026-05-11T06:17:04Z","snapshot_observed_at":"2026-08-03T18:25:43.429312Z","submitted_at":"2026-04-16T06:03:45Z","title":"AgentGA: Evolving Code Solutions in Agent-Seed Space","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-12T04:13:02.212804Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2604.14655"},"observation_digest":"sha256:0d65b771f8de49e43c8a15816623b482a0faafde243de7c3914c32b3eb157c7a","observation_id":"ed451777-01d0-42c4-9cea-ea873c61bc03","resolution":{"observed_at":"2026-05-12T04:16:20.144693Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2605.15871","last_updated":"2026-05-15T11:40:41Z","snapshot_observed_at":"2026-08-09T03:39:59.807242Z","submitted_at":"2026-05-15T11:40:41Z","title":"Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-20T18:58:11.197587Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2605.15871"},"observation_digest":"sha256:d321139781629daa245d5dd80177d5dbb6b2ad25026865fe6c52820d786a29dd","observation_id":"3f331a04-f9b1-4cf3-894c-49e6f8ff1ee7","resolution":{"observed_at":"2026-05-20T18:58:53.850837Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2606.05250","last_updated":"2026-06-03T12:56:11Z","snapshot_observed_at":"2026-07-06T23:45:19.055840Z","submitted_at":"2026-06-03T12:56:11Z","title":"Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-28T05:19:14.975753Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2606.05250"},"observation_digest":"sha256:01338cb10e40247e065ecd7f69acde6af5504aad1d7cbab74ee7bec55a416338","observation_id":"b400c09b-c38e-4762-94cb-65e875961f6e","resolution":{"observed_at":"2026-07-02T10:06:51.682263Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":"2410.20424","doi":"10.48550/arxiv.2410.20424","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2410.20424 , archiveprefix =","venue":"arXiv (Cornell University)","work_id":"92220f35-00c7-4cd7-ba52-5fed068c5a8c","year":2024},"citing_paper":{"arxiv_id":"2606.09004","last_updated":"2026-06-16T11:38:16Z","snapshot_observed_at":"2026-08-03T18:11:02.602058Z","submitted_at":"2026-06-08T04:03:54Z","title":"LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version)","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T16:54:34.676936Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2606.09004"},"observation_digest":"sha256:2d1569ee524fa72d7bf6d4d77a28a6ca7235dc0db517407ba1230a8981cad171","observation_id":"2d7b6cde-1905-46d1-bbbc-5b2c5ba507b3","resolution":{"observed_at":"2026-07-03T00:57:30.254401Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-07-31T01:39:47.689559Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25090","last_updated":"2026-07-27T21:30:39Z","snapshot_observed_at":"2026-08-07T19:23:56.811379Z","submitted_at":"2026-07-27T21:30:39Z","title":"Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-31T01:39:47.689559Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2607.25090"},"observation_digest":"sha256:82d5c4151ce1521d57dc22c29c202306faa27d0fd99f80812c81d8465bbbd77a","observation_id":"e1654d27-9de8-471c-b6db-1ba5e75bf16b","resolution":{"observed_at":"2026-07-31T01:39:47.689559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20424","snapshot_observed_at":"2026-08-08T19:25:56.809828Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04341","last_updated":"2026-08-05T01:40:25Z","snapshot_observed_at":"2026-08-08T23:11:29.136067Z","submitted_at":"2026-08-05T01:40:25Z","title":"Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T19:25:56.809828Z"},"links":{"cited_paper":"/paper/2410.20424","citing_paper":"/paper/2608.04341"},"observation_digest":"sha256:ce9ad23514f542832a6e7485209fc2ac9afd02dd22b9d2af8145d9aa3b31bce1","observation_id":"6f4b3616-4da9-405f-9c6a-d073173ee440","resolution":{"observed_at":"2026-08-08T19:25:56.809828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.20424/citation-record","integrity":"/paper/2410.20424/integrity","json":"/paper/2410.20424/citation-record.json","paper":"/paper/2410.20424"},"outbound":[],"paper":{"arxiv_id":"2410.20424","last_updated":"2024-11-05T19:46:38Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T09:48:01.790453Z","submitted_at":"2024-10-27T12:44:25Z","title":"AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2410.20424."}