{"as_of":"2026-08-09T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d58e27ac9198f5d917f4ebefa5fc0e78dc14c72e99688153a2fca0dfa39787ac","coverage":[{"denominator":10,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-30T21:19:05.616540Z","state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.26780/citation-record","integrity":"/paper/2607.26780/integrity","json":"/paper/2607.26780/citation-record.json","paper":"/paper/2607.26780"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T21:19:05.591919Z","title":"If no proper information could be retrieved, put None as the value","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.591919Z"},"links":{"citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:beb5ea14300ec8b236f3d1fec222b13e6cce867b45ea35d0146cc1007a9d936d","observation_id":"b50f66c4-8196-45c0-a3a6-9e2cb007ee2b","resolution":{"observed_at":"2026-07-30T21:19:05.591919Z","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":"2026-07-30T21:19:05.576668Z","title":"size\":\"\",","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.576668Z"},"links":{"citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:befaefd95a815394429fd0ae49e71848b16a61daa27ff033111201caeea00351","observation_id":"e05d23ad-c3e3-4751-adf9-b39d557b2b0c","resolution":{"observed_at":"2026-07-30T21:19:05.576668Z","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":"2026-07-30T21:19:05.597485Z","title":"size\": [","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.597485Z"},"links":{"citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:b052543df1cd0383d465b95223fdb3b205b0bce0526fb3490034b137e279566d","observation_id":"d512217e-d184-4928-94c0-bcabc513f8c0","resolution":{"observed_at":"2026-07-30T21:19:05.597485Z","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":"2026-07-30T21:19:05.602648Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.602648Z"},"links":{"citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:2481d915f9d9f62742b7cae8e015c1964c94ff01b039b4f2120cc5a953e10bc9","observation_id":"3777465d-b69f-4535-a158-2e63c71b8472","resolution":{"observed_at":"2026-07-30T21:19:05.602648Z","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":"2026-07-30T21:19:05.607470Z","title":"Each key may include zero, one, or multiple suitable values","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.607470Z"},"links":{"citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:7481cbc877cf2ac3548f222658c89e0d5c5f1413fc28626c1db8e25931aee551","observation_id":"9e01d962-bb2c-40ce-82e3-5f2c1459b8dc","resolution":{"observed_at":"2026-07-30T21:19:05.607470Z","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":"2026-07-30T21:19:05.612316Z","title":"If it already looks correct, return it as the output","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.612316Z"},"links":{"citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:d21850705d9036270ed9626fad4210e4e663d134f49e3e0a486205a31cb8b925","observation_id":"184fc498-08cb-43b5-b3e2-f8cd0973ba61","resolution":{"observed_at":"2026-07-30T21:19:05.612316Z","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":"2026-07-30T21:19:05.616540Z","title":"size\": [","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.616540Z"},"links":{"citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:6fa05dfc0a75f4d59187d84b4624cd1555e98447872550d6ba668487ad3ecdce","observation_id":"7c79834c-0a31-4eaa-8b3e-1cbba381bf3b","resolution":{"observed_at":"2026-07-30T21:19:05.616540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05238","last_updated":"2022-12-10T07:51:52Z","snapshot_observed_at":"2026-08-09T02:08:49.488188Z","submitted_at":"2022-12-10T07:51:52Z","title":"Structured information extraction from complex scientific text with fine-tuned large language models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.05238","snapshot_observed_at":"2026-07-30T21:19:05.557235Z","title":"InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 - Industry Track, Singapore, December 6-10, 2023, pages 575–585","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.557235Z"},"links":{"cited_paper":"/paper/2212.05238","citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:6ca58b539e05e00a5fccb9cb38afc85834bfbce7da95d13b32363086ab34451f","observation_id":"150c0a69-b6f5-42fa-bd2e-113628553458","resolution":{"observed_at":"2026-07-30T21:19:05.557235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11779","last_updated":"2024-11-18T17:56:13Z","snapshot_observed_at":"2026-08-06T11:28:50.045048Z","submitted_at":"2024-11-18T17:56:13Z","title":"LLM-IE: A Python Package for Generative Information Extraction with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11779","snapshot_observed_at":"2026-07-30T21:19:05.564720Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.564720Z"},"links":{"cited_paper":"/paper/2411.11779","citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:846abaa042bfc911832cc07745bf5413f5e3bc6a98efba946bb4b3395aa43eed","observation_id":"d0795475-e0f7-43f8-965e-fe71449b6149","resolution":{"observed_at":"2026-07-30T21:19:05.564720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10205","last_updated":"2024-05-27T07:08:31Z","snapshot_observed_at":"2026-08-04T23:18:08.595429Z","submitted_at":"2023-02-20T12:57:12Z","title":"ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.10205","snapshot_observed_at":"2026-07-30T21:19:05.570981Z","title":"Open source software available from https://github.com/HumanSignal/label-studio","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-07-30T21:19:05.570981Z"},"links":{"cited_paper":"/paper/2302.10205","citing_paper":"/paper/2607.26780"},"observation_digest":"sha256:41ddf71cb98545fc687846a28e7b8204cc7d25e5fe958292c4c43fdfa57525fa","observation_id":"150977f5-92dd-427c-84a2-0b9746366fd7","resolution":{"observed_at":"2026-07-30T21:19:05.570981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.26780","last_updated":"2026-07-29T11:23:10Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T02:09:05.678365Z","submitted_at":"2026-07-29T11:23:10Z","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case"},"reference_resolution":{"displayed":10,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":10},"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 9 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2607.26780."}