{"as_of":"2026-08-18T14:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a64d0ba047868c1caf5ceb25052caa70ca58329e55476df04cb3c1a209bc5629","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":"2026-08-18T06:34:40.430872+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":"2026-08-11T18:45:33.241030Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T18:45:33.319210Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.08164","last_updated":"2024-05-20T02:34:42Z","snapshot_observed_at":"2026-08-16T14:01:34.429016Z","submitted_at":"2024-04-12T00:03:56Z","title":"Language Model Prompt Selection via Simulation Optimization","version":2},"cited_work":{"arxiv_id":"2404.08164","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.08164","snapshot_observed_at":"2026-08-11T18:45:33.319210Z","title":"Language Model Prompt Selection via Simulation Optimization","venue":"stat.ML","work_id":"06ce1e0c-70db-4f72-a296-bbd169f19750","year":2024},"citing_paper":{"arxiv_id":"2412.07820","last_updated":"2025-06-03T09:59:18Z","snapshot_observed_at":"2026-08-14T06:52:51.902022Z","submitted_at":"2024-12-10T14:42:51Z","title":"Hyperband-based Bayesian Optimization for Black-box Prompt Selection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T18:45:33.241030Z"},"links":{"cited_paper":"/paper/2404.08164","citing_paper":"/paper/2412.07820"},"observation_digest":"sha256:cc26cc1cc073713dd21e81758d4b3d3b94ecaed8462023a4a8c80058eba71628","observation_id":"cfe9c8cf-cb34-4d2a-a25d-14c31311890f","resolution":{"observed_at":"2026-08-11T18:45:33.326603Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.08164/citation-record","integrity":"/paper/2404.08164/integrity","json":"/paper/2404.08164/citation-record.json","paper":"/paper/2404.08164"},"outbound":[],"paper":{"arxiv_id":"2404.08164","last_updated":"2024-05-20T02:34:42Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-16T14:01:34.429016Z","submitted_at":"2024-04-12T00:03:56Z","title":"Language Model Prompt Selection via Simulation Optimization"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.08164."}