{"as_of":"2026-08-08T09:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:388cd0e960904314afbc414bd3542ae1476615c781522ec55b76666ad806b9f5","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":"2026-08-08T06:32:00.761636+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":"2026-07-30T20:34:29.019828Z","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":"2405.11196","last_updated":"2024-05-18T06:15:52Z","snapshot_observed_at":"2026-08-05T12:11:22.078877Z","submitted_at":"2024-05-18T06:15:52Z","title":"Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11196","snapshot_observed_at":"2026-07-30T20:34:29.019828Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26805","last_updated":"2026-07-29T11:47:51Z","snapshot_observed_at":"2026-08-07T18:29:14.226535Z","submitted_at":"2026-07-29T11:47:51Z","title":"MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-30T20:34:29.019828Z"},"links":{"cited_paper":"/paper/2405.11196","citing_paper":"/paper/2607.26805"},"observation_digest":"sha256:202160e29821632a96bd4c803aff97c1c0384aa08eb1b65e3c43386db68e953e","observation_id":"f0d80e35-d193-4beb-bf68-98b6e732a50a","resolution":{"observed_at":"2026-07-30T20:34:29.019828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.11196/citation-record","integrity":"/paper/2405.11196/integrity","json":"/paper/2405.11196/citation-record.json","paper":"/paper/2405.11196"},"outbound":[],"paper":{"arxiv_id":"2405.11196","last_updated":"2024-05-18T06:15:52Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-05T12:11:22.078877Z","submitted_at":"2024-05-18T06:15:52Z","title":"Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained 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":"2026-08-08T06:32:00.761636+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 1 inbound Pith citation observation for arXiv:2405.11196."}