{"as_of":"2026-08-07T19:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f462eb0828100c5f420e5ad712d7d04df997d7a8d61370a190eb617f4c16af19","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:19.988186Z","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":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.18457","last_updated":"2023-10-27T20:10:56Z","snapshot_observed_at":"2026-07-06T16:39:44.572167Z","submitted_at":"2023-10-27T20:10:56Z","title":"LLMSTEP: LLM proofstep suggestions in Lean","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18457","snapshot_observed_at":"2026-08-07T12:35:19.988186Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24264","last_updated":"2025-05-30T06:38:39Z","snapshot_observed_at":"2026-08-07T12:25:00.520357Z","submitted_at":"2025-05-30T06:38:39Z","title":"Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.988186Z"},"links":{"cited_paper":"/paper/2310.18457","citing_paper":"/paper/2505.24264"},"observation_digest":"sha256:4f8672bc7bcc258f81887f08e15356a1c0fe258536f68e9a8a198239a39eacd4","observation_id":"b3e6e4c1-938e-4d67-bd70-b145e51e865d","resolution":{"observed_at":"2026-08-07T12:35:19.988186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18457","last_updated":"2023-10-27T20:10:56Z","snapshot_observed_at":"2026-07-06T16:39:44.572167Z","submitted_at":"2023-10-27T20:10:56Z","title":"LLMSTEP: LLM proofstep suggestions in Lean","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18457","snapshot_observed_at":"2026-08-06T20:31:27.491862Z","title":"Llmstep: Llm proofstep suggestions in lean","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02541","last_updated":"2025-07-03T11:35:34Z","snapshot_observed_at":"2026-08-06T20:24:14.330298Z","submitted_at":"2025-07-03T11:35:34Z","title":"Clarifying Before Reasoning: A Coq Prover with Structural Context","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:27.491862Z"},"links":{"cited_paper":"/paper/2310.18457","citing_paper":"/paper/2507.02541"},"observation_digest":"sha256:e7ecd7e9013c6496607809d9cce1a3ebe0a53cc03b0e6da9a2f07f4fe895cfe0","observation_id":"f0cb1a60-ee53-4a9b-b0b2-aab6ff464e43","resolution":{"observed_at":"2026-08-06T20:31:27.491862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18457","last_updated":"2023-10-27T20:10:56Z","snapshot_observed_at":"2026-07-06T16:39:44.572167Z","submitted_at":"2023-10-27T20:10:56Z","title":"LLMSTEP: LLM proofstep suggestions in Lean","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18457","snapshot_observed_at":"2026-08-06T05:55:51.110232Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.02733","last_updated":"2025-08-01T22:16:30Z","snapshot_observed_at":"2026-08-07T07:37:27.553567Z","submitted_at":"2025-08-01T22:16:30Z","title":"What's in a Proof? Analyzing Expert Proof-Writing Processes in F* and Verus","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T05:55:51.110232Z"},"links":{"cited_paper":"/paper/2310.18457","citing_paper":"/paper/2508.02733"},"observation_digest":"sha256:d7d9ca7ce5e750999afc9a77c83c8ed3e5cc431cd07f162a64f3fff406b870f9","observation_id":"1c937c3b-4814-4146-b2c3-163eeeda63ce","resolution":{"observed_at":"2026-08-06T05:55:51.110232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18457","last_updated":"2023-10-27T20:10:56Z","snapshot_observed_at":"2026-07-06T16:39:44.572167Z","submitted_at":"2023-10-27T20:10:56Z","title":"LLMSTEP: LLM proofstep suggestions in Lean","version":1},"cited_work":{"arxiv_id":"2310.18457","doi":"10.48550/arxiv.2310.18457","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.18457","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llmstep: Llm proofstep suggestions in lean,","venue":"arXiv (Cornell University)","work_id":"97375b32-e5cf-44db-8ff8-d7886a920a8b","year":2023},"citing_paper":{"arxiv_id":"2605.27485","last_updated":"2026-05-26T14:50:47Z","snapshot_observed_at":"2026-08-02T13:15:11.614769Z","submitted_at":"2026-05-26T14:50:47Z","title":"Automating Formal Verification with Agent-Guided Tree Search","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-06-29T14:54:59.333847Z"},"links":{"cited_paper":"/paper/2310.18457","citing_paper":"/paper/2605.27485"},"observation_digest":"sha256:15070de043bfd7f7c7fa2ab8cbd46df3969f3b4dbda993940f9fa35b1398d922","observation_id":"5c573cbb-1617-4894-82e9-4991b4589413","resolution":{"observed_at":"2026-06-29T15:03:31.413991Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18457","last_updated":"2023-10-27T20:10:56Z","snapshot_observed_at":"2026-07-06T16:39:44.572167Z","submitted_at":"2023-10-27T20:10:56Z","title":"LLMSTEP: LLM proofstep suggestions in Lean","version":1},"cited_work":{"arxiv_id":"2310.18457","doi":"10.48550/arxiv.2310.18457","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.18457","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llmstep: Llm proofstep suggestions in lean,","venue":"arXiv (Cornell University)","work_id":"97375b32-e5cf-44db-8ff8-d7886a920a8b","year":2023},"citing_paper":{"arxiv_id":"2606.26490","last_updated":"2026-06-25T00:50:43Z","snapshot_observed_at":"2026-08-04T02:59:00.589727Z","submitted_at":"2026-06-25T00:50:43Z","title":"An Empirical Study of LLM-Generated Specifications for VeriFast","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T04:49:18.958925Z"},"links":{"cited_paper":"/paper/2310.18457","citing_paper":"/paper/2606.26490"},"observation_digest":"sha256:2f9b42c7b266243382eed9c90769fdd0d5e80db0b36a4704b9c4a99262b6ec12","observation_id":"90fd31b1-ae9d-46b9-bb69-d6ab7899aa55","resolution":{"observed_at":"2026-07-04T13:49:52.468005Z","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/2310.18457/citation-record","integrity":"/paper/2310.18457/integrity","json":"/paper/2310.18457/citation-record.json","paper":"/paper/2310.18457"},"outbound":[],"paper":{"arxiv_id":"2310.18457","last_updated":"2023-10-27T20:10:56Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T16:39:44.572167Z","submitted_at":"2023-10-27T20:10:56Z","title":"LLMSTEP: LLM proofstep suggestions in Lean"},"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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.18457."}