{"as_of":"2026-08-09T09:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71a653936dc063a00806fed4b213980b7090df584d20d372d7e3d9326e555553","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":"2026-08-07T05:14:47.525722Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.15797","last_updated":"2025-02-10T05:31:43Z","snapshot_observed_at":"2026-08-05T21:53:24.131309Z","submitted_at":"2025-01-27T05:46:06Z","title":"LemmaHead: RAG Assisted Proof Generation Using Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15797","snapshot_observed_at":"2026-08-07T05:14:47.525722Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08446","last_updated":"2025-06-10T04:44:28Z","snapshot_observed_at":"2026-08-07T09:15:20.058485Z","submitted_at":"2025-06-10T04:44:28Z","title":"A Survey on Large Language Models for Mathematical Reasoning","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:47.525722Z"},"links":{"cited_paper":"/paper/2501.15797","citing_paper":"/paper/2506.08446"},"observation_digest":"sha256:33b094ef9f2119228ba089549c90d312d647a01c83dbc31989755a4ffbaa3fea","observation_id":"94edd8fa-aa7d-4681-978a-f0cf0230288f","resolution":{"observed_at":"2026-08-07T05:14:47.525722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15797","last_updated":"2025-02-10T05:31:43Z","snapshot_observed_at":"2026-08-05T21:53:24.131309Z","submitted_at":"2025-01-27T05:46:06Z","title":"LemmaHead: RAG Assisted Proof Generation Using Large Language Models","version":4},"cited_work":{"arxiv_id":"2501.15797","doi":"10.48550/arxiv.2501.15797","metadata_source":"pith","pith_arxiv_id":"2501.15797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lemmahead: Rag assisted proof generation using large language models.ArXiv, abs/2501.15797","venue":"cs.LG","work_id":"960b279a-108b-47c2-b12f-294f70137eb3","year":2025},"citing_paper":{"arxiv_id":"2605.22875","last_updated":"2026-05-20T04:54:22Z","snapshot_observed_at":"2026-08-08T18:16:45.579144Z","submitted_at":"2026-05-20T04:54:22Z","title":"RMA: an Agentic System for Research-Level Mathematical Problems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-25T06:06:47.226726Z"},"links":{"cited_paper":"/paper/2501.15797","citing_paper":"/paper/2605.22875"},"observation_digest":"sha256:ddc0f2d5ac5f88d7b439edfac1cba0db756daadb00adbb1e923f54a2eed6184f","observation_id":"ab02f73c-516e-4f5a-bc97-4b90c666211c","resolution":{"observed_at":"2026-05-25T06:10:24.198336Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15797","last_updated":"2025-02-10T05:31:43Z","snapshot_observed_at":"2026-08-05T21:53:24.131309Z","submitted_at":"2025-01-27T05:46:06Z","title":"LemmaHead: RAG Assisted Proof Generation Using Large Language Models","version":4},"cited_work":{"arxiv_id":"2501.15797","doi":"10.48550/arxiv.2501.15797","metadata_source":"pith","pith_arxiv_id":"2501.15797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lemmahead: Rag assisted proof generation using large language models.ArXiv, abs/2501.15797","venue":"cs.LG","work_id":"960b279a-108b-47c2-b12f-294f70137eb3","year":2025},"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":102,"source":"pdf_text","source_observed_at":"2026-06-29T14:54:59.333847Z"},"links":{"cited_paper":"/paper/2501.15797","citing_paper":"/paper/2605.27485"},"observation_digest":"sha256:f2cb66b9b10ca2599003291ce2ce0c66da0f26a5cbe91641b8de8220ccecb837","observation_id":"ddd9a24c-bbfa-467c-9bc0-ec294169e9c3","resolution":{"observed_at":"2026-06-29T15:03:31.369174Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15797","last_updated":"2025-02-10T05:31:43Z","snapshot_observed_at":"2026-08-05T21:53:24.131309Z","submitted_at":"2025-01-27T05:46:06Z","title":"LemmaHead: RAG Assisted Proof Generation Using Large Language Models","version":4},"cited_work":{"arxiv_id":"2501.15797","doi":"10.48550/arxiv.2501.15797","metadata_source":"pith","pith_arxiv_id":"2501.15797","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lemmahead: Rag assisted proof generation using large language models.ArXiv, abs/2501.15797","venue":"cs.LG","work_id":"960b279a-108b-47c2-b12f-294f70137eb3","year":2025},"citing_paper":{"arxiv_id":"2607.07779","last_updated":"2026-07-08T17:46:36Z","snapshot_observed_at":"2026-07-12T23:17:59.879344Z","submitted_at":"2026-07-08T17:46:36Z","title":"From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier","version":1},"reference_index":277,"source":"pdf_text","source_observed_at":"2026-07-10T18:16:31.176239Z"},"links":{"cited_paper":"/paper/2501.15797","citing_paper":"/paper/2607.07779"},"observation_digest":"sha256:7854268191299f66e7cdf3a0a2895025e09816f186d6bdb64ef84c725324a052","observation_id":"ae1e6e93-97e0-494b-ba6e-311514b76d72","resolution":{"observed_at":"2026-07-10T18:17:33.823072Z","resolver_source":"local_arxiv","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/2501.15797/citation-record","integrity":"/paper/2501.15797/integrity","json":"/paper/2501.15797/citation-record.json","paper":"/paper/2501.15797"},"outbound":[],"paper":{"arxiv_id":"2501.15797","last_updated":"2025-02-10T05:31:43Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T21:53:24.131309Z","submitted_at":"2025-01-27T05:46:06Z","title":"LemmaHead: RAG Assisted Proof Generation Using Large Language 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.15797."}