{"as_of":"2026-08-20T00:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:749db165f1aeea4860be87dbdd325f762b7d98cae70febbca13f7c86765af0d5","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:37:22.678439Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T04:06:04.669396Z","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":"2026-07-04T16:49:58.484168Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"cited_work":{"arxiv_id":"2501.01237","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.01237","snapshot_observed_at":"2026-07-04T16:49:58.484168Z","title":"arXiv preprint arXiv:2501.01237 , year=","venue":null,"work_id":"62ff393d-e841-4b82-8a0d-12c01d8d5815","year":null},"citing_paper":{"arxiv_id":"2606.24655","last_updated":"2026-06-23T14:48:37Z","snapshot_observed_at":"2026-08-13T19:05:53.998445Z","submitted_at":"2026-06-23T14:48:37Z","title":"AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-26T00:08:52.711205Z"},"links":{"cited_paper":"/paper/2501.01237","citing_paper":"/paper/2606.24655"},"observation_digest":"sha256:8c9f43a0968f16d537118e607b41d162b9931fb6a908a5a63b56dd6fc3dad04a","observation_id":"711c2df0-a307-4946-b6d4-09013f7ddf1b","resolution":{"observed_at":"2026-07-04T16:49:58.485643Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01237","snapshot_observed_at":"2026-08-01T04:06:04.669396Z","title":"Self-refinement strategies for LLM-based product attribute value extraction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22949","last_updated":"2026-07-24T23:25:16Z","snapshot_observed_at":"2026-08-16T21:49:43.511387Z","submitted_at":"2026-07-24T23:25:16Z","title":"Beyond Exact Match: How Evaluation Methodology Dominates Model Choice in LLM-Based Product Attribute Extraction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T04:06:04.669396Z"},"links":{"cited_paper":"/paper/2501.01237","citing_paper":"/paper/2607.22949"},"observation_digest":"sha256:e5794464a70ca1286fc1ac911a3254b9b85eb38da9285a8703ce728519b4fc0d","observation_id":"55609727-35ae-4452-8679-0b478d0658a2","resolution":{"observed_at":"2026-08-01T04:06:04.669396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.01237/citation-record","integrity":"/paper/2501.01237/integrity","json":"/paper/2501.01237/citation-record.json","paper":"/paper/2501.01237"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:37:23.029036Z","title":"In: Advances in Databases and Information Systems","venue":null,"work_id":"183ffdda-4e2a-4d3c-bb06-16763d554fc7","year":2024},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.583812Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:1ce7199a2b14fc49a0f9f24257a4f85ea7fca3aa45ef334b92a81940e2026c3d","observation_id":"d7718a3f-9176-4a8a-b41b-c3eb9b4992d9","resolution":{"observed_at":"2026-08-10T22:37:23.033320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:23.015201Z","title":"In: Advances in Neural Information Processing Systems","venue":null,"work_id":"170563e1-13a1-4307-889f-11884b2669a6","year":1901},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.588712Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:154b86508bd3fbeb5f4ff56db548ea003c844dbff2bf8bd1cc94f76048d7550c","observation_id":"e482c10a-fe00-445f-9f06-37bca16c8567","resolution":{"observed_at":"2026-08-10T22:37:23.019744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:23.000729Z","title":"In: Information Integration and Web Intelligence","venue":null,"work_id":"d813f305-9539-4d84-b2a6-efb3203af693","year":2025},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.593297Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:8e0cce7886c267607eaba5248285adc42b94bdae25e21642fc568aedeefe9082","observation_id":"683e6fbf-fd59-453c-99b6-6669736cb70f","resolution":{"observed_at":"2026-08-10T22:37:23.005264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.986531Z","title":"In: Proceedings of the 47th ACM SIGIR International Conference on Research and Development in Information Retrieval","venue":null,"work_id":"1d7cdb3c-fd4a-488a-a795-3fdc8a3d67a2","year":2024},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.597699Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:c4d0c45f00550e7018c60745fa5e061cf82ea0cd145b7ff65055ea6f84c754e9","observation_id":"ce2a8f43-a667-4b32-ab33-03a213e4a7a9","resolution":{"observed_at":"2026-08-10T22:37:22.990733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.972296Z","title":"In: Proceedings of the 3rd Machine Learning for Health Symposium","venue":null,"work_id":"94a9d46a-e07f-432a-a7bb-11afbbf0e61a","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.602097Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:7cdb94c3fb714d2e8ef3d602593152f97e4aade5bf8100f5c115ceab602fe97a","observation_id":"bdc1cf9a-8c0e-4d17-a9eb-171553ff58c0","resolution":{"observed_at":"2026-08-10T22:37:22.976812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.957361Z","title":"In: Proceedings of the Twelfth International Conference on Learning Representations","venue":null,"work_id":"1ad2212e-6412-4678-b62a-d545c11b878a","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.606898Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:6f2a3a4d46e413a2731b14c6b882d7935ef4b1783ef7e7cd97155beda23c3eb5","observation_id":"1968cd1b-2803-41d3-9306-b721ffd98ad8","resolution":{"observed_at":"2026-08-10T22:37:22.962039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.943216Z","title":"Advances in Neural Information Processing Systems, 36:46534--46594, 2023","venue":null,"work_id":"0874d835-d8ba-47b4-be2c-5ee88dc861e3","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.611874Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:90e874dbbffe22d1e86d542c187fab7599459069d0f71ab23c758f4db16d6349","observation_id":"24d04fec-944d-46eb-8fbf-8f40d5646950","resolution":{"observed_at":"2026-08-10T22:37:22.947737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.929406Z","title":null,"venue":null,"work_id":"309e3b20-ee8c-4351-9377-9a51a72bbcd9","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.616701Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:e70349e8b03daea0f74cca4023a48b3177db4e0ca0bcf53bf7c8ae14df58b09a","observation_id":"9767dd16-3a2d-4afe-9cd6-6de17b53d0d6","resolution":{"observed_at":"2026-08-10T22:37:22.933323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.915528Z","title":"In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics","venue":null,"work_id":"fb5ea5ec-8ad7-41e0-8d29-e3463a8a62bd","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.620771Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:a22ba544eaaf942a93d5d1773dd7195c72a40d065de896b88f6be5d8da561e41","observation_id":"dca70af1-9c14-4934-9fd1-dddf1f77c2c0","resolution":{"observed_at":"2026-08-10T22:37:22.919767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.901815Z","title":"Transactions of the Association for Computational Linguistics, 12:484--506, 2024","venue":null,"work_id":"25884783-02ba-4a02-977e-22af129bf51e","year":2024},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.625158Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:5c811a3951fbf03a646b9279f57295a4f8d24efeec6bc1cc3c7e16493a0bdbd5","observation_id":"79770fb7-be2c-44b5-934b-628f0400f57e","resolution":{"observed_at":"2026-08-10T22:37:22.906305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.887343Z","title":"In: Findings of the Association for Computational Linguistics : EMNLP 2023","venue":null,"work_id":"57a3790b-1e19-4a12-8f15-932bf80667e7","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.629077Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:bcc8b84696d3373c2098cae0c469a4a5c23ef955dc11254707854d71dfebad61","observation_id":"99fc8d07-6e1a-4bd6-8822-859d70d4a59b","resolution":{"observed_at":"2026-08-10T22:37:22.891765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.873057Z","title":"Advances in Neural Information Processing Systems, 36:36339--36348, 2023","venue":null,"work_id":"5c8aa9fc-c917-4122-a9a9-35ee23e0211b","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.633161Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:a59d6b1e609f35db31cdaa3d584384136b42c7297d269be547fc16da7e2a1ccd","observation_id":"72f7c6a4-9958-4c41-9c95-c2c0e11f07c3","resolution":{"observed_at":"2026-08-10T22:37:22.877690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.858315Z","title":"Advances in Neural Information Processing Systems, 36:8634--8652, 2023","venue":null,"work_id":"bfb48da1-4d22-4545-8d97-d1d757a54ee6","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.637431Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:98db815eff6626296daaf0dd402a103b45a102d38ec3598b848117491ecb6f78","observation_id":"f54ccd0f-0b60-4abf-8af9-22c97e0c8112","resolution":{"observed_at":"2026-08-10T22:37:22.863158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.843253Z","title":"Transactions on Machine Learning Research, 2022","venue":null,"work_id":"9b9a91d3-29eb-4441-aea6-52b7aa80c1fa","year":2022},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.641348Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:4354d17c94d9b9d33007efa7ceac540dc4ee2c441763ad1c6ad17f156768ff5c","observation_id":"0397bb12-4e19-4e06-bba8-12cc17f987a7","resolution":{"observed_at":"2026-08-10T22:37:22.848074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.828606Z","title":"In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics","venue":null,"work_id":"95864f76-b0a2-4de1-92ee-d0c9a9b04b16","year":2023},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.645268Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:fb62c7ad83d5991e5ceede41e994bc16f29b0bb66fd63c20c4c70414054b5278","observation_id":"28187a44-c65c-41d0-b90b-beedfe444b76","resolution":{"observed_at":"2026-08-10T22:37:22.833246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.810717Z","title":"In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","venue":null,"work_id":"6da10008-51eb-4389-9008-c2adebef8312","year":2019},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.649418Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:da9afc503812724bf05b1f6bb71f3c607b1a67743dfb3996c34aab42a738ca10","observation_id":"d5eb7096-0f1f-4c3b-9556-a3d823c411f3","resolution":{"observed_at":"2026-08-10T22:37:22.815785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.795051Z","title":"Frontiers of Computer Science, 18(6):186357, 2024","venue":null,"work_id":"66dc0c37-500a-486a-b9c9-c30691895e17","year":2024},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.653578Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:4344334fad81adcbcdd3812a8ca97e781c9ceb9606b3fab5c3700df17015ddaa","observation_id":"d0b3157f-dbe0-4a18-a318-804509cf6337","resolution":{"observed_at":"2026-08-10T22:37:22.799379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.780743Z","title":"In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","venue":null,"work_id":"36a424ef-b7f0-4d6b-b16c-7d9c88aa44e4","year":2022},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.657760Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:34f8051d6b1647a428f192676c892e70d6a58c24d19344b8f5242aa97dc1067a","observation_id":"f5f62285-503c-4958-a20d-9a76c4462943","resolution":{"observed_at":"2026-08-10T22:37:22.785101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.766164Z","title":"In: Proceedings of the ACM Web Conference 2022","venue":null,"work_id":"741c431d-6aa3-4b57-bf86-7b55be2399b0","year":2022},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.661445Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:716d37d12b4f09a0915f7a94b6ffa7bc3f1c72fc553127efaa92a77eec1ce982","observation_id":"23dee0e2-5cbc-4010-9825-0edad27bd42c","resolution":{"observed_at":"2026-08-10T22:37:22.770472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.750975Z","title":"In: Proceedings of the 31st International Conference on Computational Linguistics","venue":null,"work_id":"29b74da1-83f9-4885-92bc-ed033e5cb22d","year":2025},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.665112Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:d98d68597929840dbad9554cb8244b3fbd48ccc6fe8d6f0d676829907f754ec7","observation_id":"1ac5fbb4-c497-4e6f-8725-b2bdfc257f11","resolution":{"observed_at":"2026-08-10T22:37:22.755866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.734058Z","title":"Journal of Computers, 4(6):436--443, 2009","venue":null,"work_id":"34f4baf2-9177-46f2-9f61-054306256f28","year":2009},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.669178Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:54a037c23a3c8adc15442186750d99656cd39c4491141f3af64819b50d93ec53","observation_id":"b23d961f-42b3-429c-b2eb-22a5feccd106","resolution":{"observed_at":"2026-08-10T22:37:22.739776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T22:37:22.673134Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.673134Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:bb68af0b43c626d5d8a3b6c3e2939a23211a931ab190d3f732c8835cd11de5da","observation_id":"e2d4c5a1-5af6-4328-9ac4-6fccc335d8c0","resolution":{"observed_at":"2026-08-10T22:37:22.673134Z","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":"2026-08-10T22:37:22.678439Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T22:37:22.678439Z"},"links":{"citing_paper":"/paper/2501.01237"},"observation_digest":"sha256:d4c6fe83853ab65dfd602f8b20707b203c591bea81251fcd098bd0293de7d896","observation_id":"8bde3363-6d0e-4460-ad55-0a33a5871e7a","resolution":{"observed_at":"2026-08-10T22:37:22.678439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.01237","last_updated":"2025-02-14T14:47:26Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T18:12:52.572475Z","submitted_at":"2025-01-02T12:55:27Z","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":23},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2501.01237."}