{"as_of":"2026-08-06T19:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83d76fcaf19fd1b08d55daa084f9168b76929e7838837c4565e8cbacde4b19a1","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T09:43:05.524088Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.17234","last_updated":"2024-10-22T17:54:03Z","snapshot_observed_at":"2026-07-06T19:38:00.663759Z","submitted_at":"2024-10-22T17:54:03Z","title":"Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy","version":1},"cited_work":{"arxiv_id":"2410.17234","doi":"10.48550/arxiv.2410.17234","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.17234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Fine-tuning large language models to appropriately abstain with semantic entropy.arXiv preprint arXiv:2410.17234","venue":"arXiv (Cornell University)","work_id":"9301f54f-01de-444a-8341-21367db8fda1","year":null},"citing_paper":{"arxiv_id":"2603.22161","last_updated":"2026-05-19T14:46:51Z","snapshot_observed_at":"2026-08-06T02:25:28.537505Z","submitted_at":"2026-03-23T16:23:31Z","title":"Causal Evidence that Language Models use Confidence to Drive Behavior","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T09:43:05.524088Z"},"links":{"cited_paper":"/paper/2410.17234","citing_paper":"/paper/2603.22161"},"observation_digest":"sha256:b3a83cef048c4f406d3ec27f3aba811b4dfbeba962687a8e069e95620ff3e960","observation_id":"56a8d8cf-3450-4091-87fd-117dcfb5e0c5","resolution":{"observed_at":"2026-05-21T09:44:05.676218Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17234","last_updated":"2024-10-22T17:54:03Z","snapshot_observed_at":"2026-07-06T19:38:00.663759Z","submitted_at":"2024-10-22T17:54:03Z","title":"Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy","version":1},"cited_work":{"arxiv_id":"2410.17234","doi":"10.48550/arxiv.2410.17234","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.17234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Fine-tuning large language models to appropriately abstain with semantic entropy.arXiv preprint arXiv:2410.17234","venue":"arXiv (Cornell University)","work_id":"9301f54f-01de-444a-8341-21367db8fda1","year":null},"citing_paper":{"arxiv_id":"2605.12813","last_updated":"2026-05-31T17:51:51Z","snapshot_observed_at":"2026-07-06T23:24:27.821980Z","submitted_at":"2026-05-12T23:13:50Z","title":"REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-05-14T20:13:10.814899Z"},"links":{"cited_paper":"/paper/2410.17234","citing_paper":"/paper/2605.12813"},"observation_digest":"sha256:a3d8a57d5709750483b83e59067825b817d22ae67bee9c9fd5cc1312dcdaf05b","observation_id":"ececa5e3-be36-45f4-965c-ffc7c07be976","resolution":{"observed_at":"2026-05-14T20:19:26.862581Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.17234/citation-record","integrity":"/paper/2410.17234/integrity","json":"/paper/2410.17234/citation-record.json","paper":"/paper/2410.17234"},"outbound":[],"paper":{"arxiv_id":"2410.17234","last_updated":"2024-10-22T17:54:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:38:00.663759Z","submitted_at":"2024-10-22T17:54:03Z","title":"Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.17234."}