{"as_of":"2026-08-08T20:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:74d5d671b2aaca91c3b5762e31099d81fe2f8a3cb16ce62cd238318fea6022d4","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:01:47.583347Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2507.03949/citation-record","integrity":"/paper/2507.03949/integrity","json":"/paper/2507.03949/citation-record.json","paper":"/paper/2507.03949"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:01:47.072074Z","title":"Efficient estimation of word representations in vector space,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.03949","last_updated":"2025-07-05T08:22:52Z","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:47.072074Z"},"links":{"citing_paper":"/paper/2507.03949"},"observation_digest":"sha256:1de2c16cd8464ba342b17139624127ce5d313b3dcbeacdf314b92341faeb980e","observation_id":"953e3e4e-0b5b-464b-a271-279473c4ae07","resolution":{"observed_at":"2026-08-06T20:01:47.072074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"cmp-lg/9406033","last_updated":"1994-06-24T03:05:36Z","snapshot_observed_at":"2026-08-02T21:44:56.016283Z","submitted_at":"1994-06-22T01:51:05Z","title":"Verb Semantics and Lexical Selection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"cmp-lg/9406033","snapshot_observed_at":"2026-08-06T20:01:47.193551Z","title":"Verb semantics and lexical selection,","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2507.03949","last_updated":"2025-07-05T08:22:52Z","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:47.193551Z"},"links":{"cited_paper":"/paper/cmp-lg/9406033","citing_paper":"/paper/2507.03949"},"observation_digest":"sha256:bccf0cfee2713c266688b327b0086a0f6234fc5b2aea94734fe934a738c918a3","observation_id":"e714122f-a69d-4d2f-8ae2-5cc5dea5de48","resolution":{"observed_at":"2026-08-06T20:01:47.193551Z","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":"2026-08-06T20:01:48.395316Z","title":"Fellbaum, WordNet: An Electronic Lexical Database","venue":null,"work_id":"ef7fece1-66d1-49b7-a0fc-9f31327cff84","year":1998},"citing_paper":{"arxiv_id":"2507.03949","last_updated":"2025-07-05T08:22:52Z","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:47.255712Z"},"links":{"citing_paper":"/paper/2507.03949"},"observation_digest":"sha256:1083d4e9a6672949379cb7d1a74ce514a64c5f6755063708487e65e074a2aa72","observation_id":"85fe1d68-513d-45b6-a3a1-f630c3f74dc4","resolution":{"observed_at":"2026-08-06T20:01:48.477646Z","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":"1909.00161","last_updated":"2019-08-31T07:42:11Z","snapshot_observed_at":"2026-07-06T08:18:07.023386Z","submitted_at":"2019-08-31T07:42:11Z","title":"Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.00161","snapshot_observed_at":"2026-08-06T20:01:47.348681Z","title":"Benchmarking zero-shot text classifi- cation: Datasets, evaluation and entailment approach,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2507.03949","last_updated":"2025-07-05T08:22:52Z","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:47.348681Z"},"links":{"cited_paper":"/paper/1909.00161","citing_paper":"/paper/2507.03949"},"observation_digest":"sha256:70f05d88f1ab105e7ea99679551ee04e690c6fe657984c285c54b0eea4f02a62","observation_id":"142f4e9e-2992-48a9-a811-c7d2a2d30ee8","resolution":{"observed_at":"2026-08-06T20:01:47.348681Z","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":"2026-08-06T20:01:48.217885Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks,","venue":null,"work_id":"cbde1522-11b2-412b-afaf-05fef57d342e","year":2019},"citing_paper":{"arxiv_id":"2507.03949","last_updated":"2025-07-05T08:22:52Z","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:47.415584Z"},"links":{"citing_paper":"/paper/2507.03949"},"observation_digest":"sha256:e2ea3f536b7657959774c76f4c410a8f8b98970f88d54b4104b18eada77d54bd","observation_id":"2cc99e13-e611-41cf-8413-5e0ea92531d0","resolution":{"observed_at":"2026-08-06T20:01:48.310351Z","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":"8108.11181","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:01:47.831259Z","title":"NLTK: The Natural Language Toolkit,","venue":null,"work_id":"32f38f3a-dd0c-46a1-acd7-c7ad45577696","year":2002},"citing_paper":{"arxiv_id":"2507.03949","last_updated":"2025-07-05T08:22:52Z","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:47.487003Z"},"links":{"citing_paper":"/paper/2507.03949"},"observation_digest":"sha256:b1d7dfe9ec8a8b82f5f04b83c00615c61667f1f4694ccbb58b46b9ced00ffccf","observation_id":"0c0d3f10-c451-4431-a2fe-e8d670fc6a39","resolution":{"observed_at":"2026-08-06T20:01:47.917815Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2026-08-06T20:01:48.051208Z","title":"A Broad-Coverage Challenge Corpus for Sentence Understanding Through Inference,","venue":null,"work_id":"4903c53f-209c-4f63-9f68-8a0fb5f31f61","year":2018},"citing_paper":{"arxiv_id":"2507.03949","last_updated":"2025-07-05T08:22:52Z","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:47.583347Z"},"links":{"citing_paper":"/paper/2507.03949"},"observation_digest":"sha256:772f8506ef2c6ee5fe48a5b772af51e15531d2cec5458cff8ab22322c9839916","observation_id":"45d77aee-b674-48b6-9ab7-2c6afff0a431","resolution":{"observed_at":"2026-08-06T20:01:48.149961Z","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":"2507.03949","last_updated":"2025-07-05T08:22:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T01:36:59.875520Z","submitted_at":"2025-07-05T08:22:52Z","title":"A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":7},"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 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2507.03949."}