{"as_of":"2026-08-10T03:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:33f8d387f0a3463afc8dbf3e9af511cc2a00d1dff3bdb061596f867b93d345a6","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T12:12:27.988618Z","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":"2026-07-04T03:39:30.625784Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.05980","last_updated":"2025-03-07T23:25:19Z","snapshot_observed_at":"2026-08-07T17:20:57.157613Z","submitted_at":"2025-03-07T23:25:19Z","title":"SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05980","snapshot_observed_at":"2026-08-07T12:12:27.988618Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00344","last_updated":"2025-05-31T02:08:32Z","snapshot_observed_at":"2026-08-08T20:04:47.808291Z","submitted_at":"2025-05-31T02:08:32Z","title":"Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:12:27.988618Z"},"links":{"cited_paper":"/paper/2503.05980","citing_paper":"/paper/2506.00344"},"observation_digest":"sha256:ac59808dc9ae5bf29d0532e021c74d64b915814bf233cf585c0c4bd90607ba01","observation_id":"b50711d4-dc1f-467a-bb87-bbc926547831","resolution":{"observed_at":"2026-08-07T12:12:27.988618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05980","last_updated":"2025-03-07T23:25:19Z","snapshot_observed_at":"2026-08-07T17:20:57.157613Z","submitted_at":"2025-03-07T23:25:19Z","title":"SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05980","snapshot_observed_at":"2026-08-07T05:46:04.252762Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07106","last_updated":"2025-07-31T09:33:35Z","snapshot_observed_at":"2026-08-07T05:39:47.560418Z","submitted_at":"2025-06-08T12:28:38Z","title":"Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T05:46:04.252762Z"},"links":{"cited_paper":"/paper/2503.05980","citing_paper":"/paper/2506.07106"},"observation_digest":"sha256:739c0df6c249b68e58c6970367b09b1d1e5d555ce751cd67eae4019a9dfd43b5","observation_id":"25eab933-031b-42d6-b92f-7a9e7babca01","resolution":{"observed_at":"2026-08-07T05:46:04.252762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05980","last_updated":"2025-03-07T23:25:19Z","snapshot_observed_at":"2026-08-07T17:20:57.157613Z","submitted_at":"2025-03-07T23:25:19Z","title":"SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05980","snapshot_observed_at":"2026-08-03T16:16:21.627960Z","title":"Sindex: Semantic inconsistency index for hallucination detection in llms.arXiv preprint arXiv:2503.05980, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.14177","last_updated":"2026-06-03T14:26:01Z","snapshot_observed_at":"2026-08-09T21:51:36.770626Z","submitted_at":"2025-12-16T08:15:24Z","title":"Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T16:16:21.627960Z"},"links":{"cited_paper":"/paper/2503.05980","citing_paper":"/paper/2512.14177"},"observation_digest":"sha256:36fb06f0f9f4b8b77f3389df5dbc0533246558e080c47351f1722a841ded4a6d","observation_id":"b0c9700c-a4ad-406e-936b-e89049b8bc40","resolution":{"observed_at":"2026-08-03T16:16:21.627960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05980","last_updated":"2025-03-07T23:25:19Z","snapshot_observed_at":"2026-08-07T17:20:57.157613Z","submitted_at":"2025-03-07T23:25:19Z","title":"SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs","version":1},"cited_work":{"arxiv_id":"2503.05980","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.05980","snapshot_observed_at":"2026-07-04T03:39:30.625784Z","title":"Sindex: Semantic inconsistency index for hallucination detection in llms.arXiv preprint arXiv:2503.05980, 2025","venue":null,"work_id":"b242532b-a1a7-42ec-90b3-b4c45cbe380a","year":2025},"citing_paper":{"arxiv_id":"2606.19868","last_updated":"2026-06-18T07:27:34Z","snapshot_observed_at":"2026-08-09T02:21:37.900133Z","submitted_at":"2026-06-18T07:27:34Z","title":"A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-26T17:46:00.822375Z"},"links":{"cited_paper":"/paper/2503.05980","citing_paper":"/paper/2606.19868"},"observation_digest":"sha256:b3597bbf8b277665c6e8ac0fd2757ba80c094e43c3b297d9f861926308abce44","observation_id":"6b75d7d7-59cb-47d1-8fb4-38216aebb878","resolution":{"observed_at":"2026-07-04T03:39:30.628269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.05980/citation-record","integrity":"/paper/2503.05980/integrity","json":"/paper/2503.05980/citation-record.json","paper":"/paper/2503.05980"},"outbound":[],"paper":{"arxiv_id":"2503.05980","last_updated":"2025-03-07T23:25:19Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T17:20:57.157613Z","submitted_at":"2025-03-07T23:25:19Z","title":"SINdex: Semantic INconsistency Index for Hallucination Detection in 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.05980."}