{"as_of":"2026-08-07T23:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6cdbf1377ff7ae17f99eba921be894bb1ef18afbbc5338eeffa012733dfbf739","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T10:46:57.386476Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.10938","last_updated":"2025-02-16T00:27:05Z","snapshot_observed_at":"2026-08-07T18:15:23.433438Z","submitted_at":"2025-02-16T00:27:05Z","title":"PEA: Enhancing LLM Performance on Computational-Reasoning Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.10938","snapshot_observed_at":"2026-08-03T10:46:57.386476Z","title":"InProceedings of the 37th International Conference on Neural Information Pro- cessing Systems (NeurIPS)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.09097","last_updated":"2026-07-10T08:14:37Z","snapshot_observed_at":"2026-08-06T12:19:36.404612Z","submitted_at":"2026-01-14T02:58:07Z","title":"Programming over Thinking: Efficient and Robust Multi-Constraint Planning","version":4},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-03T10:46:57.386476Z"},"links":{"cited_paper":"/paper/2502.10938","citing_paper":"/paper/2601.09097"},"observation_digest":"sha256:e323ca3793212cc23fd5e12bfbc44066eab3d7ef57ecac71246cfc5084d5abe5","observation_id":"6634404a-6774-468e-b145-ab4d880e9488","resolution":{"observed_at":"2026-08-03T10:46:57.386476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.10938/citation-record","integrity":"/paper/2502.10938/integrity","json":"/paper/2502.10938/citation-record.json","paper":"/paper/2502.10938"},"outbound":[],"paper":{"arxiv_id":"2502.10938","last_updated":"2025-02-16T00:27:05Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T18:15:23.433438Z","submitted_at":"2025-02-16T00:27:05Z","title":"PEA: Enhancing LLM Performance on Computational-Reasoning Tasks"},"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 1 inbound Pith citation observation for arXiv:2502.10938."}