{"as_of":"2026-08-08T02:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e2ef5185439c445123de7a4dde517deeb3ada5ae053cf7c3d01a0189e985bdd","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T23:25:14.958783Z","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":"2026-06-30T08:04:28.220561Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.14871","last_updated":"2023-11-03T19:40:21Z","snapshot_observed_at":"2026-08-04T21:44:29.757437Z","submitted_at":"2023-05-24T08:24:25Z","title":"ClusterLLM: Large Language Models as a Guide for Text Clustering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14871","snapshot_observed_at":"2026-08-06T23:25:14.958783Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18257","last_updated":"2025-06-23T03:05:31Z","snapshot_observed_at":"2026-08-07T15:40:28.048539Z","submitted_at":"2025-06-23T03:05:31Z","title":"TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:25:14.958783Z"},"links":{"cited_paper":"/paper/2305.14871","citing_paper":"/paper/2506.18257"},"observation_digest":"sha256:90ba456657a856eb650ea01340b150c739d39061143ac1ea0115ae6ad2f9dd44","observation_id":"5ae401b0-a539-4805-aa78-a51e90e1a7b3","resolution":{"observed_at":"2026-08-06T23:25:14.958783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14871","last_updated":"2023-11-03T19:40:21Z","snapshot_observed_at":"2026-08-04T21:44:29.757437Z","submitted_at":"2023-05-24T08:24:25Z","title":"ClusterLLM: Large Language Models as a Guide for Text Clustering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14871","snapshot_observed_at":"2026-08-05T22:35:18.654046Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06814","last_updated":"2025-08-09T04:22:30Z","snapshot_observed_at":"2026-08-08T01:45:54.236470Z","submitted_at":"2025-08-09T04:22:30Z","title":"Metadata Management for AI-Augmented Data Workflows","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T22:35:18.654046Z"},"links":{"cited_paper":"/paper/2305.14871","citing_paper":"/paper/2508.06814"},"observation_digest":"sha256:111713a9dfecf04132b561720d7a3032c7602ca70377db8bdb12727fd1f2a33b","observation_id":"5afdcfed-bcda-4eb1-8c42-bbd8b32033da","resolution":{"observed_at":"2026-08-05T22:35:18.654046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14871","last_updated":"2023-11-03T19:40:21Z","snapshot_observed_at":"2026-08-04T21:44:29.757437Z","submitted_at":"2023-05-24T08:24:25Z","title":"ClusterLLM: Large Language Models as a Guide for Text Clustering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14871","snapshot_observed_at":"2026-08-02T19:10:40.741302Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.03536","last_updated":"2026-07-27T02:42:05Z","snapshot_observed_at":"2026-08-08T00:59:17.102915Z","submitted_at":"2026-03-03T21:46:53Z","title":"SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T19:10:40.741302Z"},"links":{"cited_paper":"/paper/2305.14871","citing_paper":"/paper/2603.03536"},"observation_digest":"sha256:ca594a324672654c79307bc93bd8a4acec946fe1afe49535305319a54ba506ad","observation_id":"b75a7561-b93b-4799-9455-933232b18b32","resolution":{"observed_at":"2026-08-02T19:10:40.741302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14871","last_updated":"2023-11-03T19:40:21Z","snapshot_observed_at":"2026-08-04T21:44:29.757437Z","submitted_at":"2023-05-24T08:24:25Z","title":"ClusterLLM: Large Language Models as a Guide for Text Clustering","version":2},"cited_work":{"arxiv_id":"2305.14871","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.14871","snapshot_observed_at":"2026-06-30T08:04:28.220561Z","title":"Zhang, Z","venue":null,"work_id":"3c964f13-4955-4fe4-95f9-5c625871d9bd","year":2023},"citing_paper":{"arxiv_id":"2606.29182","last_updated":"2026-06-28T04:06:12Z","snapshot_observed_at":"2026-08-03T06:34:03.593036Z","submitted_at":"2026-06-28T04:06:12Z","title":"Evidence-Informed LLM Beliefs for Continual Scientific Discovery","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-06-30T07:58:16.860761Z"},"links":{"cited_paper":"/paper/2305.14871","citing_paper":"/paper/2606.29182"},"observation_digest":"sha256:02652cbe984b62c4d2827e1388456ca6969a0443f59410b9e3cfa23e65d96272","observation_id":"d8269910-d2ae-422a-b742-f19c61135da0","resolution":{"observed_at":"2026-06-30T08:04:28.222002Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.14871/citation-record","integrity":"/paper/2305.14871/integrity","json":"/paper/2305.14871/citation-record.json","paper":"/paper/2305.14871"},"outbound":[],"paper":{"arxiv_id":"2305.14871","last_updated":"2023-11-03T19:40:21Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T21:44:29.757437Z","submitted_at":"2023-05-24T08:24:25Z","title":"ClusterLLM: Large Language Models as a Guide for Text Clustering"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.14871."}