{"as_of":"2026-08-18T10:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c8678a3592f97e1d0f61c8c02224e8f8b4fe1645d425ef67286a1f36817c3332","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T23:30:59.077730Z","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":"2026-08-06T19:20:59.795786Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.06991","last_updated":"2025-01-24T18:00:08Z","snapshot_observed_at":"2026-08-16T16:53:02.883057Z","submitted_at":"2022-06-14T17:07:19Z","title":"Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.06991","snapshot_observed_at":"2026-08-15T23:30:59.077730Z","title":"Concentration of discrepancy-based abc via rademacher complexity","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.04603","last_updated":"2025-05-07T17:50:14Z","snapshot_observed_at":"2026-08-15T23:22:17.569334Z","submitted_at":"2025-05-07T17:50:14Z","title":"Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T23:30:59.077730Z"},"links":{"cited_paper":"/paper/2206.06991","citing_paper":"/paper/2505.04603"},"observation_digest":"sha256:2a66f96b6c75188714420422deb60b4fb0038c3747e267d764f7c71f7a866623","observation_id":"8bacc760-ceb1-4840-9b84-8da956506181","resolution":{"observed_at":"2026-08-15T23:30:59.077730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.06991","last_updated":"2025-01-24T18:00:08Z","snapshot_observed_at":"2026-08-16T16:53:02.883057Z","submitted_at":"2022-06-14T17:07:19Z","title":"Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity","version":5},"cited_work":{"arxiv_id":"2206.06991","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.06991","snapshot_observed_at":"2026-08-06T19:20:59.795786Z","title":"Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity","venue":"stat.ME","work_id":"4f577a73-90d2-40e6-91ca-1538351d30b2","year":2022},"citing_paper":{"arxiv_id":"2507.06055","last_updated":"2025-07-08T14:56:44Z","snapshot_observed_at":"2026-08-14T06:16:31.173585Z","submitted_at":"2025-07-08T14:56:44Z","title":"Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T19:20:59.712744Z"},"links":{"cited_paper":"/paper/2206.06991","citing_paper":"/paper/2507.06055"},"observation_digest":"sha256:3193e932c328bfe4aaca58d3db3db840d6f2d17b67375951c96a17f033be4fce","observation_id":"08f0ac0d-0479-4c01-a694-30c378581f55","resolution":{"observed_at":"2026-08-06T19:20:59.800798Z","resolver_source":"local_arxiv","status":"verified_exact"},"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/2206.06991/citation-record","integrity":"/paper/2206.06991/integrity","json":"/paper/2206.06991/citation-record.json","paper":"/paper/2206.06991"},"outbound":[],"paper":{"arxiv_id":"2206.06991","last_updated":"2025-01-24T18:00:08Z","latest_version":5,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-16T16:53:02.883057Z","submitted_at":"2022-06-14T17:07:19Z","title":"Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity"},"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 2 inbound Pith citation observations for arXiv:2206.06991."}