{"as_of":"2026-08-08T21:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:68ae6f80b96c6a28c3719fb654f6fcd4cbe8c07c42bd99f80d8f18dadf9af445","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:12:21.777254Z","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":"2026-08-07T15:12:25.820338Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.03211","last_updated":"2025-04-04T06:49:56Z","snapshot_observed_at":"2026-08-07T16:09:45.401365Z","submitted_at":"2025-04-04T06:49:56Z","title":"Persuasive Calibration","version":1},"cited_work":{"arxiv_id":"2504.03211","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.03211","snapshot_observed_at":"2026-08-07T15:12:25.820338Z","title":"Persuasive Calibration","venue":"cs.LG","work_id":"af332b47-66bc-497c-8f0d-db344143a575","year":2025},"citing_paper":{"arxiv_id":"2505.16141","last_updated":"2025-05-22T02:35:38Z","snapshot_observed_at":"2026-08-08T15:42:18.786943Z","submitted_at":"2025-05-22T02:35:38Z","title":"Persuasive Prediction via Decision Calibration","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T15:12:21.777254Z"},"links":{"cited_paper":"/paper/2504.03211","citing_paper":"/paper/2505.16141"},"observation_digest":"sha256:c875c1dfa174d03b3b607817345c4bab3aece0bbb2abca8b8dca7661e30dcd3c","observation_id":"9960c894-1a1b-4c97-a8ba-8c3a55b258f0","resolution":{"observed_at":"2026-08-07T15:12:25.897845Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03211","last_updated":"2025-04-04T06:49:56Z","snapshot_observed_at":"2026-08-07T16:09:45.401365Z","submitted_at":"2025-04-04T06:49:56Z","title":"Persuasive Calibration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03211","snapshot_observed_at":"2026-08-01T17:38:10.654971Z","title":"arXiv preprint arXiv:2504.03211 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17607","last_updated":"2026-08-05T04:57:10Z","snapshot_observed_at":"2026-08-08T21:10:17.851715Z","submitted_at":"2026-07-20T06:53:59Z","title":"Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles","version":1},"reference_index":213,"source":"arxiv_source","source_observed_at":"2026-08-01T17:38:10.654971Z"},"links":{"cited_paper":"/paper/2504.03211","citing_paper":"/paper/2607.17607"},"observation_digest":"sha256:8333430044d6b55d857652f23d2101f20d507851105f6ad6cfb9c8fe553f945c","observation_id":"5d77a089-2eeb-4727-9bca-6ab1f22b2667","resolution":{"observed_at":"2026-08-01T17:38:10.654971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.03211/citation-record","integrity":"/paper/2504.03211/integrity","json":"/paper/2504.03211/citation-record.json","paper":"/paper/2504.03211"},"outbound":[],"paper":{"arxiv_id":"2504.03211","last_updated":"2025-04-04T06:49:56Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:09:45.401365Z","submitted_at":"2025-04-04T06:49:56Z","title":"Persuasive Calibration"},"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 2 inbound Pith citation observations for arXiv:2504.03211."}