{"as_of":"2026-08-09T07:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aa0cb9aed6a01ea2d51d00d630ff2646c52154e56481255589632c1ee9a039b9","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T12:07:52.403085Z","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":"2026-05-14T18:29:22.726050Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1510.02451","last_updated":"2017-02-17T20:49:02Z","snapshot_observed_at":"2026-08-04T19:22:23.796772Z","submitted_at":"2015-10-08T19:17:41Z","title":"The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.02451","snapshot_observed_at":"2026-08-05T12:07:52.403085Z","title":"Vollmer, and Arnaud Doucet","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.02003","last_updated":"2025-09-02T06:37:57Z","snapshot_observed_at":"2026-08-06T19:24:55.654996Z","submitted_at":"2025-09-02T06:37:57Z","title":"Bouncy particle sampler with infinite exchanging parallel tempering","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T12:07:52.403085Z"},"links":{"cited_paper":"/paper/1510.02451","citing_paper":"/paper/2509.02003"},"observation_digest":"sha256:97812a10aaf25fa6e5227d5cdb2a7023d11fd96681f81a03f00ffc55231798b5","observation_id":"df88e33a-3676-4c5a-a44e-b0f542a21ccd","resolution":{"observed_at":"2026-08-05T12:07:52.403085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.02451","last_updated":"2017-02-17T20:49:02Z","snapshot_observed_at":"2026-08-04T19:22:23.796772Z","submitted_at":"2015-10-08T19:17:41Z","title":"The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.02451","snapshot_observed_at":"2026-08-04T07:36:36.013980Z","title":"J., Doucet A., 2015, @doi [arXiv e-prints] 10.48550/arXiv.1510.02451 , https://ui.adsabs.harvard.edu/abs/2015arXiv151002451B p","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2510.25824","last_updated":"2026-07-27T20:50:55Z","snapshot_observed_at":"2026-08-07T12:03:29.706461Z","submitted_at":"2025-10-29T18:00:00Z","title":"The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T07:36:36.013980Z"},"links":{"cited_paper":"/paper/1510.02451","citing_paper":"/paper/2510.25824"},"observation_digest":"sha256:bd68b3ca1007a844aafd9727052592c1e51b5c5b56402069ca1cabe113fc0782","observation_id":"ad6f6890-c705-41c9-9603-1fa8aa69e567","resolution":{"observed_at":"2026-08-04T07:36:36.013980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.02451","last_updated":"2017-02-17T20:49:02Z","snapshot_observed_at":"2026-08-04T19:22:23.796772Z","submitted_at":"2015-10-08T19:17:41Z","title":"The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method","version":6},"cited_work":{"arxiv_id":"1510.02451","doi":null,"metadata_source":"pith","pith_arxiv_id":"1510.02451","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method","venue":"stat.ME","work_id":"d398c794-9224-45a9-b4c0-7a938719208d","year":2015},"citing_paper":{"arxiv_id":"2605.13127","last_updated":"2026-05-13T07:54:37Z","snapshot_observed_at":"2026-07-06T23:24:42.799888Z","submitted_at":"2026-05-13T07:54:37Z","title":"State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives","version":1},"reference_index":243,"source":"arxiv_source","source_observed_at":"2026-05-14T18:27:47.980646Z"},"links":{"cited_paper":"/paper/1510.02451","citing_paper":"/paper/2605.13127"},"observation_digest":"sha256:146bf23c913d626103f853fbd7f4130f5c794abf64dffd991654241e09d0ee01","observation_id":"b9f0d71a-812c-4042-81a9-270c0f948c60","resolution":{"observed_at":"2026-05-14T18:29:22.729497Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1510.02451/citation-record","integrity":"/paper/1510.02451/integrity","json":"/paper/1510.02451/citation-record.json","paper":"/paper/1510.02451"},"outbound":[],"paper":{"arxiv_id":"1510.02451","last_updated":"2017-02-17T20:49:02Z","latest_version":6,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-04T19:22:23.796772Z","submitted_at":"2015-10-08T19:17:41Z","title":"The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1510.02451."}