{"as_of":"2026-08-08T13:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f0345e2ff2cf0dcd79054de87c0097d49e98fa82bff31ee286985c58b3f8e1cd","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:37:51.062005Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:29:06.786058Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T13:26:39.746952Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08828","snapshot_observed_at":"2026-08-07T15:29:06.786058Z","title":"A survey on data-centric ai: Tabular learning from reinforcement learning and generative ai perspective.arXiv preprint arXiv:2502.08828, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15076","last_updated":"2025-05-21T03:49:24Z","snapshot_observed_at":"2026-08-07T15:22:29.590135Z","submitted_at":"2025-05-21T03:49:24Z","title":"Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:29:06.786058Z"},"links":{"cited_paper":"/paper/2502.08828","citing_paper":"/paper/2505.15076"},"observation_digest":"sha256:3a57653c0ed8704af3c708010bae67a9ff57853acb64e639f6e530e2b69030bf","observation_id":"96437a3f-0a74-4956-83f6-8c18e6906304","resolution":{"observed_at":"2026-08-07T15:29:06.786058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08828","snapshot_observed_at":"2026-08-07T15:25:50.223176Z","title":"A survey on data-centric ai: Tabular learning from reinforcement learning and generative ai perspective","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15152","last_updated":"2025-05-21T06:18:42Z","snapshot_observed_at":"2026-08-07T15:20:50.085904Z","submitted_at":"2025-05-21T06:18:42Z","title":"Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T15:25:50.223176Z"},"links":{"cited_paper":"/paper/2502.08828","citing_paper":"/paper/2505.15152"},"observation_digest":"sha256:e9e718e261832904ee808d155d2f5b3287a7bc8b8031eae008401623d0a1b89a","observation_id":"3a70cef8-ebdc-4df3-91c8-142f5887d96d","resolution":{"observed_at":"2026-08-07T15:25:50.223176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08828","snapshot_observed_at":"2026-08-07T15:19:41.963199Z","title":"A survey on data-centric ai: Tabular learning from reinforcement learning and generative ai perspective","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15572","last_updated":"2025-05-21T14:25:41Z","snapshot_observed_at":"2026-08-07T15:12:33.360178Z","submitted_at":"2025-05-21T14:25:41Z","title":"Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T15:19:41.963199Z"},"links":{"cited_paper":"/paper/2502.08828","citing_paper":"/paper/2505.15572"},"observation_digest":"sha256:f5e43db1133d0eddb75ac81d263f46593a7649c8a738f906cdb1e38686c0966e","observation_id":"721bf089-eab2-4bcc-b062-a8f256d138bc","resolution":{"observed_at":"2026-08-07T15:19:41.963199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08828","snapshot_observed_at":"2026-08-07T15:18:59.457922Z","title":"A survey on data-centric ai: Tabular learning from reinforcement learning and generative ai perspective","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18204","last_updated":"2025-05-21T14:11:46Z","snapshot_observed_at":"2026-08-07T15:12:48.623730Z","submitted_at":"2025-05-21T14:11:46Z","title":"Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T15:18:59.457922Z"},"links":{"cited_paper":"/paper/2502.08828","citing_paper":"/paper/2505.18204"},"observation_digest":"sha256:d41b874a701fa29821a95fa137c65f2cff3877a52c4dac2bf3bba9126d16644d","observation_id":"60bf0a8f-9325-4ac0-85bb-fe9d3b8c434f","resolution":{"observed_at":"2026-08-07T15:18:59.457922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08828","snapshot_observed_at":"2026-08-07T05:14:57.391564Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.09085","last_updated":"2025-06-10T08:10:16Z","snapshot_observed_at":"2026-08-07T05:05:12.126967Z","submitted_at":"2025-06-10T08:10:16Z","title":"LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T05:14:57.391564Z"},"links":{"cited_paper":"/paper/2502.08828","citing_paper":"/paper/2506.09085"},"observation_digest":"sha256:ea456e1ef3088aa27475cad9557e3f44b076c3dea32e5ec4623c734a937c1ddf","observation_id":"1ef9000a-55ec-458a-8ce1-c92d40ba38dd","resolution":{"observed_at":"2026-08-07T05:14:57.391564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08828","snapshot_observed_at":"2026-08-06T21:29:08.347320Z","title":"A survey on data-centric ai: Tabular learning from reinforcement learning and generative ai perspective","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.24124","last_updated":"2025-07-01T03:40:22Z","snapshot_observed_at":"2026-08-07T22:30:29.169423Z","submitted_at":"2025-06-30T17:59:14Z","title":"Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives","version":2},"reference_index":125,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:08.347320Z"},"links":{"cited_paper":"/paper/2502.08828","citing_paper":"/paper/2506.24124"},"observation_digest":"sha256:2cfd01f0ddd8bae7b7e30345a9050c665dd37d31430f8ae5df49a3f07f06c555","observation_id":"41eb6468-59af-42f5-b693-880edb0748c9","resolution":{"observed_at":"2026-08-06T21:29:08.347320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"cited_work":{"arxiv_id":"2502.08828","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.08828","snapshot_observed_at":"2026-08-05T13:26:39.746952Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","venue":"cs.LG","work_id":"e82762d3-6374-492f-852a-bdb6b38321b1","year":2025},"citing_paper":{"arxiv_id":"2509.00693","last_updated":"2025-08-31T04:18:42Z","snapshot_observed_at":"2026-08-06T11:14:22.004858Z","submitted_at":"2025-08-31T04:18:42Z","title":"DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:26:35.937111Z"},"links":{"cited_paper":"/paper/2502.08828","citing_paper":"/paper/2509.00693"},"observation_digest":"sha256:c6e13a4443d9f305b14823049366b99c6a5f3534fbee9fe370bbd336ffa52cd2","observation_id":"2df629b5-d4d9-4d06-a3e7-3a9920d138fa","resolution":{"observed_at":"2026-08-05T13:26:39.782018Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.08828/citation-record","integrity":"/paper/2502.08828/integrity","json":"/paper/2502.08828/citation-record.json","paper":"/paper/2502.08828"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T23:37:51.311940Z","title":"Feature interaction aware automated data representation transformation","venue":null,"work_id":"6ecf177e-2aaf-4667-b3d5-d3afe1faf204","year":2024},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.007408Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:5ae6662b75d9a33d893b1878af2bd703c6118b02be22c1dbd558feb27fd46a22","observation_id":"22a01ec6-85d6-476e-8ced-e7fe413272d4","resolution":{"observed_at":"2026-08-07T23:37:51.315265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16203","last_updated":"2024-12-18T10:25:12Z","snapshot_observed_at":"2026-08-07T22:49:49.753466Z","submitted_at":"2024-05-25T12:27:21Z","title":"Evolutionary Large Language Model for Automated Feature Transformation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16203","snapshot_observed_at":"2026-08-07T23:37:51.015155Z","title":"Evolutionary large language model for automated feature transformation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.015155Z"},"links":{"cited_paper":"/paper/2405.16203","citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:d32c7038fc9e1776ce77ad4347e53e11a622405c6d8817f5403872995877cb3d","observation_id":"a9c738b7-574f-4d47-8c8c-110bd9867b3b","resolution":{"observed_at":"2026-08-07T23:37:51.015155Z","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":"2026-08-07T23:37:51.294279Z","title":"An empirical analysis of feature engineering for predictive modeling","venue":null,"work_id":"79d3d653-594d-46a6-8ac0-ee7c7382649f","year":2016},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.023004Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:1d4e03ec2c8fa6e0bde804604f1639aaa44f9f5e3d470057ccbb287b27c6f260","observation_id":"57891a5c-577e-4a8d-964e-6bd7dfa4561f","resolution":{"observed_at":"2026-08-07T23:37:51.297460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07404","last_updated":"2024-06-11T16:10:37Z","snapshot_observed_at":"2026-07-06T18:29:00.001236Z","submitted_at":"2024-06-11T16:10:37Z","title":"Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy","version":1},"cited_work":{"arxiv_id":"2406.07404","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07404","snapshot_observed_at":"2026-08-07T23:37:51.205275Z","title":"Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy","venue":"cs.LG","work_id":"82babe93-0ca7-4874-874d-f7daf29f7f95","year":2024},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.026781Z"},"links":{"cited_paper":"/paper/2406.07404","citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:41fa9ace46a7fa6b1a85b22055b14314a8e2942ac26c61b7cba3a3063c913416","observation_id":"bcda1b67-0b61-431b-976b-68ea6e694ae5","resolution":{"observed_at":"2026-08-07T23:37:51.209335Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:51.276699Z","title":"Efficient reinforced fea- ture selection via early stopping traverse strategy","venue":null,"work_id":"225f2fec-7f7c-44a5-9bfa-46ca7d5210e9","year":2021},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.033343Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:51036081719fd1e9d5b2bd363330011b4a5f762acedb251f771220794371951d","observation_id":"45e422a3-6eac-4561-bb1c-e4940e46ae29","resolution":{"observed_at":"2026-08-07T23:37:51.279722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04015","last_updated":"2024-03-06T19:58:19Z","snapshot_observed_at":"2026-08-03T07:21:30.180572Z","submitted_at":"2024-03-06T19:58:19Z","title":"Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.04015","snapshot_observed_at":"2026-08-07T23:37:51.036912Z","title":"Knockoff-guided feature selection via a single pre-trained reinforced agent","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.036912Z"},"links":{"cited_paper":"/paper/2403.04015","citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:1f73a937ea67d29dcc407bdb4e9d2273de39eb44b997586e28b8d38d87e2a897","observation_id":"18566ba5-b9fa-4cfe-8bae-b1b3468e40da","resolution":{"observed_at":"2026-08-07T23:37:51.036912Z","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":"2026-08-07T23:37:51.267449Z","title":"Beyond Discrete Se- lection: Continuous Embedding Space Optimization for Generative Feature Selection","venue":null,"work_id":"15a9782e-d769-4aaf-9780-13996bfc2cc5","year":2023},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.041296Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:71a4624b4f4f9573774121c9e9eea1cc8298a51263dc013d127cd56aa78594e6","observation_id":"3c040690-685a-4521-8dfe-1cc9f3231a54","resolution":{"observed_at":"2026-08-07T23:37:51.271067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:51.257975Z","title":"Self-optimizing feature generation via cat- egorical hashing representation and hierarchical reinforce- ment crossing","venue":null,"work_id":"9006f6b1-1033-441c-9397-ec4223bc6d54","year":2023},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.045142Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:31e3968d627170fbfbf5544c0892e4cc8da05290757878d90132afae1c7f9a24","observation_id":"25d30e8e-6976-4146-ad92-4d37ed35c314","resolution":{"observed_at":"2026-08-07T23:37:51.261476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08403","last_updated":"2024-05-17T07:47:16Z","snapshot_observed_at":"2026-08-06T14:22:30.866226Z","submitted_at":"2024-05-14T07:56:09Z","title":"TFWT: Tabular Feature Weighting with Transformer","version":2},"cited_work":{"arxiv_id":"2405.08403","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.08403","snapshot_observed_at":"2026-08-07T23:37:51.172185Z","title":"TFWT: Tabular Feature Weighting with Transformer","venue":"cs.LG","work_id":"f72a24d2-6f82-4580-8ca4-2e9423d8a4a2","year":2024},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.052143Z"},"links":{"cited_paper":"/paper/2405.08403","citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:87cf00e7ac90e5369f4ccf78474623fb5dc6402ea5871de131e13f62e38527f1","observation_id":"f2d5c92c-66a1-423e-b5c1-eee7ffea1340","resolution":{"observed_at":"2026-08-07T23:37:51.178113Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:51.056130Z","title":"Dy- namic and adaptive feature generation with llm","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.056130Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:aa6ea3f7e6f51320200b4b48688695e32d246f090965bc1d4155e857e807c5cb","observation_id":"ce7cfb9a-1d81-4986-b43e-d117643ac819","resolution":{"observed_at":"2026-08-07T23:37:51.056130Z","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":"2026-08-07T23:37:51.248449Z","title":"Simplifying reinforced feature selection via restructured choice strategy of single agent","venue":null,"work_id":"28ce768d-2437-4395-8e64-4455ad735c64","year":2020},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.059130Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:f46c5faac58222a75ea4bd8b84682ddbc7636f393dee04090aa3a90f422c2c3d","observation_id":"70dd576a-f4f0-4b70-b676-b01ad9fb9874","resolution":{"observed_at":"2026-08-07T23:37:51.251986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:51.238770Z","title":"Difer: differentiable automated feature engineer- ing","venue":null,"work_id":"752ac958-5e3b-44e8-b3ce-3e14e6299647","year":2022},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.062005Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:9fa8f58f400b3ddc36518e5a47820ebb33c32bfb040f0387370bf461ae93d4cf","observation_id":"cba39228-1617-4ea3-95e8-d597e0b28b8d","resolution":{"observed_at":"2026-08-07T23:37:51.242156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:51.303189Z","title":"Autogfs: Automated group-based feature selection via interactive reinforcement learning","venue":null,"work_id":"b36056a0-eb2a-48ed-94a4-b0ec093f883b","year":2021},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.011544Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:9863b566a0414b879dcc906139f260424e16a7b1798625b62d4323410bcb7962","observation_id":"8b5b28d9-5665-4d89-b884-7fb7078294b9","resolution":{"observed_at":"2026-08-07T23:37:51.306469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05742","last_updated":"2024-11-08T18:01:05Z","snapshot_observed_at":"2026-07-06T19:47:34.320753Z","submitted_at":"2024-11-08T18:01:05Z","title":"Topology-aware Reinforcement Feature Space Reconstruction for Graph Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05742","snapshot_observed_at":"2026-08-07T23:37:51.048297Z","title":"Topology-aware reinforcement feature space reconstruc- tion for graph data","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.048297Z"},"links":{"cited_paper":"/paper/2411.05742","citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:da6d3e023feec43bed47ee320752154e7696868c59f4a1edddbe7b2fc5e9576c","observation_id":"083b9215-7260-4c2f-9898-e4b657d94d1e","resolution":{"observed_at":"2026-08-07T23:37:51.048297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17157","last_updated":"2024-12-18T10:32:06Z","snapshot_observed_at":"2026-08-05T03:24:26.100334Z","submitted_at":"2024-04-26T05:01:08Z","title":"Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation","version":2},"cited_work":{"arxiv_id":"2404.17157","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.17157","snapshot_observed_at":"2026-08-07T23:37:51.219751Z","title":"Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation","venue":"cs.LG","work_id":"b8067c67-d295-4e1a-95cd-a6ca4a710e89","year":2024},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.019206Z"},"links":{"cited_paper":"/paper/2404.17157","citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:f57ff55e03d41b0e002950de5ba414aeb6f616156a1a928cc4792b77ed8a499a","observation_id":"6418b741-c4b7-4e8b-aeb8-5d269c35beb7","resolution":{"observed_at":"2026-08-07T23:37:51.223983Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:51.285675Z","title":"Deep fea- ture synthesis: Towards automating data science endeav- ors","venue":null,"work_id":"d4bd2c62-523f-4698-9c32-9ad72faa0b5e","year":2015},"citing_paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:51.030250Z"},"links":{"citing_paper":"/paper/2502.08828"},"observation_digest":"sha256:c5be1fefcd2f767e2dbd77e51fc742e709c4b816ac0bffe6544a1d2a4d31290a","observation_id":"7a3a3c1c-190c-4bf5-8936-1b0ae9511c25","resolution":{"observed_at":"2026-08-07T23:37:51.288760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.08828","last_updated":"2025-02-16T16:41:47Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T23:30:50.064504Z","submitted_at":"2025-02-12T22:34:50Z","title":"A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":9},"total_outbound_references":16},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 7 inbound Pith citation observations for arXiv:2502.08828."}