{"as_of":"2026-08-08T14:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3bfaa6b2980c9fcb09740d8e7084c7898884184a91b586c6a73aaaa3a5cc0e06","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":"2026-08-08T06:32:00.761636+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":"2026-08-05T13:40:58.274985Z","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":"2026-05-11T11:16:03.303665Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.13774","last_updated":"2025-05-28T19:41:14Z","snapshot_observed_at":"2026-08-07T15:42:47.476737Z","submitted_at":"2025-05-19T23:20:24Z","title":"Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13774","snapshot_observed_at":"2026-08-05T10:39:04.273817Z","title":"Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03871","last_updated":"2025-09-04T04:12:31Z","snapshot_observed_at":"2026-08-08T03:54:26.940042Z","submitted_at":"2025-09-04T04:12:31Z","title":"A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:04.273817Z"},"links":{"cited_paper":"/paper/2505.13774","citing_paper":"/paper/2509.03871"},"observation_digest":"sha256:ab7dd59560de1f08a06ac633149af5f1de9da0e3d564f8a4e440318037d6c5c8","observation_id":"df660e94-2abd-4754-be99-949a2751cd90","resolution":{"observed_at":"2026-08-05T10:39:04.273817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13774","last_updated":"2025-05-28T19:41:14Z","snapshot_observed_at":"2026-08-07T15:42:47.476737Z","submitted_at":"2025-05-19T23:20:24Z","title":"Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models","version":2},"cited_work":{"arxiv_id":"2505.13774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13774","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"24ccd1ed-4693-473e-b41e-17599071664b","year":2025},"citing_paper":{"arxiv_id":"2604.10693","last_updated":"2026-04-20T08:48:59Z","snapshot_observed_at":"2026-07-06T22:59:13.936436Z","submitted_at":"2026-04-12T15:35:08Z","title":"FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-10T15:04:23.688239Z"},"links":{"cited_paper":"/paper/2505.13774","citing_paper":"/paper/2604.10693"},"observation_digest":"sha256:86fe53d88fa4d1855a26a6744ed218c454994b8e23d1b2f54aa6684f23e27646","observation_id":"7729dbc3-4d62-424b-b6a5-fa630867821b","resolution":{"observed_at":"2026-05-11T11:16:03.312937Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2505.13774","last_updated":"2025-05-28T19:41:14Z","snapshot_observed_at":"2026-08-07T15:42:47.476737Z","submitted_at":"2025-05-19T23:20:24Z","title":"Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models","version":2},"cited_work":{"arxiv_id":"2505.13774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13774","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"24ccd1ed-4693-473e-b41e-17599071664b","year":2025},"citing_paper":{"arxiv_id":"2604.15726","last_updated":"2026-04-17T05:59:08Z","snapshot_observed_at":"2026-08-01T01:44:21.919940Z","submitted_at":"2026-04-17T05:59:08Z","title":"LLM Reasoning Is Latent, Not the Chain of Thought","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T08:49:05.178087Z"},"links":{"cited_paper":"/paper/2505.13774","citing_paper":"/paper/2604.15726"},"observation_digest":"sha256:495a055a8042f7b91d97ffe276915ffdd3cf924132260948597247a961404a8d","observation_id":"23ad4e73-b7ef-42c6-89ad-399ff2c6e743","resolution":{"observed_at":"2026-05-10T08:53:04.637091Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2505.13774","last_updated":"2025-05-28T19:41:14Z","snapshot_observed_at":"2026-08-07T15:42:47.476737Z","submitted_at":"2025-05-19T23:20:24Z","title":"Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13774","snapshot_observed_at":"2026-08-05T13:40:58.274985Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03745","last_updated":"2026-08-04T14:38:06Z","snapshot_observed_at":"2026-08-08T09:35:52.621563Z","submitted_at":"2026-08-04T14:38:06Z","title":"Risky Business: Measuring The Faithfulness-Safety Tension","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T13:40:58.274985Z"},"links":{"cited_paper":"/paper/2505.13774","citing_paper":"/paper/2608.03745"},"observation_digest":"sha256:f76aafa589c91418b11a1e17be9f305ef7de6ac3affb755d3f419d594ef1fc57","observation_id":"a20b96d2-668e-4fd7-917e-c93fd6d2546b","resolution":{"observed_at":"2026-08-05T13:40:58.274985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.13774/citation-record","integrity":"/paper/2505.13774/integrity","json":"/paper/2505.13774/citation-record.json","paper":"/paper/2505.13774"},"outbound":[],"paper":{"arxiv_id":"2505.13774","last_updated":"2025-05-28T19:41:14Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T15:42:47.476737Z","submitted_at":"2025-05-19T23:20:24Z","title":"Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models"},"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":"2026-08-08T06:32:00.761636+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 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.13774."}