{"as_of":"2026-08-16T19:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5fbbc688cfa4f8e7b129a4d676b53729e45373aeab8736621a1c2c58001e41ac","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T15:56:48.846200Z","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":"2026-08-07T04:25:20.160025Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.12557","last_updated":"2024-02-19T21:32:19Z","snapshot_observed_at":"2026-08-16T14:17:09.662451Z","submitted_at":"2024-02-19T21:32:19Z","title":"Creating a Fine Grained Entity Type Taxonomy Using LLMs","version":1},"cited_work":{"arxiv_id":"2402.12557","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.12557","snapshot_observed_at":"2026-08-07T04:25:20.160025Z","title":"Creating a Fine Grained Entity Type Taxonomy Using LLMs","venue":"cs.CL","work_id":"687dbc36-9f11-4cb0-817b-97a919b657f3","year":2024},"citing_paper":{"arxiv_id":"2506.10737","last_updated":"2025-06-12T14:26:28Z","snapshot_observed_at":"2026-08-12T13:48:49.263116Z","submitted_at":"2025-06-12T14:26:28Z","title":"TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T04:25:17.868913Z"},"links":{"cited_paper":"/paper/2402.12557","citing_paper":"/paper/2506.10737"},"observation_digest":"sha256:905fd5a2c935f4ebf40b7cf8a6b666313c262ea22b3189206cba1a0de9e49560","observation_id":"f9cd209a-3157-4b78-a334-0f2200c63d18","resolution":{"observed_at":"2026-08-07T04:25:20.268330Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12557","last_updated":"2024-02-19T21:32:19Z","snapshot_observed_at":"2026-08-16T14:17:09.662451Z","submitted_at":"2024-02-19T21:32:19Z","title":"Creating a Fine Grained Entity Type Taxonomy Using LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12557","snapshot_observed_at":"2026-08-15T15:56:48.846200Z","title":"Creating a fine grained entity type taxonomy using llms","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10814","last_updated":"2025-09-13T14:28:20Z","snapshot_observed_at":"2026-08-16T02:23:52.825981Z","submitted_at":"2025-09-13T14:28:20Z","title":"Automatic Generation of a Cryptography Misuse Taxonomy Using Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T15:56:48.846200Z"},"links":{"cited_paper":"/paper/2402.12557","citing_paper":"/paper/2509.10814"},"observation_digest":"sha256:8014c56ca4a9afd7cf3d97514906f4d4a4c77cd864388a8d55a718415e0fd68b","observation_id":"9477ae51-9d0b-4b79-aa91-f0041f7177d4","resolution":{"observed_at":"2026-08-15T15:56:48.846200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12557","last_updated":"2024-02-19T21:32:19Z","snapshot_observed_at":"2026-08-16T14:17:09.662451Z","submitted_at":"2024-02-19T21:32:19Z","title":"Creating a Fine Grained Entity Type Taxonomy Using LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12557","snapshot_observed_at":"2026-08-15T15:10:05.433798Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01592","last_updated":"2026-08-03T01:56:08Z","snapshot_observed_at":"2026-08-15T15:04:18.733561Z","submitted_at":"2026-08-03T01:56:08Z","title":"How Well Do LLMs Generate Taxonomies in the SE Domain? A Multi-perspective Evaluation Framework","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T15:10:05.433798Z"},"links":{"cited_paper":"/paper/2402.12557","citing_paper":"/paper/2608.01592"},"observation_digest":"sha256:c985997d0de7f18359489e9f73f9a867f5c9c91bb12d4a4a73dd696c3ed12146","observation_id":"8e5c909f-4954-463f-ae6a-bebc0563ccd1","resolution":{"observed_at":"2026-08-15T15:10:05.433798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12557","last_updated":"2024-02-19T21:32:19Z","snapshot_observed_at":"2026-08-16T14:17:09.662451Z","submitted_at":"2024-02-19T21:32:19Z","title":"Creating a Fine Grained Entity Type Taxonomy Using LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12557","snapshot_observed_at":"2026-08-10T16:28:57.061650Z","title":"arXiv preprint arXiv:2402.12557 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07023","last_updated":"2026-08-07T09:32:25Z","snapshot_observed_at":"2026-08-15T07:40:28.113355Z","submitted_at":"2026-08-07T09:32:25Z","title":"An Agentic Hybrid Top-Down and Bottom-Up Approach to Knowledge Graph Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:28:57.061650Z"},"links":{"cited_paper":"/paper/2402.12557","citing_paper":"/paper/2608.07023"},"observation_digest":"sha256:fe1dac9213eeac3a75a84cd855442020ac930ac4187f78a24cfa0a4c942a9021","observation_id":"784b7630-ec96-4e98-ade4-dbdbaec81c5a","resolution":{"observed_at":"2026-08-10T16:28:57.061650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.12557/citation-record","integrity":"/paper/2402.12557/integrity","json":"/paper/2402.12557/citation-record.json","paper":"/paper/2402.12557"},"outbound":[],"paper":{"arxiv_id":"2402.12557","last_updated":"2024-02-19T21:32:19Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T14:17:09.662451Z","submitted_at":"2024-02-19T21:32:19Z","title":"Creating a Fine Grained Entity Type Taxonomy Using LLMs"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12557."}