{"as_of":"2026-08-17T19:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9c26f1a09ba3cdd02ad0682dee5e17ab17c5d658dfc92ed620baecf17675b4f2","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":"2026-08-17T06:30:58.91139+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":"2026-08-15T18:48:20.456173Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-22T02:54:32.508902Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.06251","last_updated":"2024-10-02T16:17:33Z","snapshot_observed_at":"2026-08-17T12:59:04.204554Z","submitted_at":"2023-04-13T04:04:09Z","title":"Importance is Important: Generalized Markov Chain Importance Sampling Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06251","snapshot_observed_at":"2026-08-15T18:48:20.456173Z","title":"Importance is important: Generalized Markov chain importance sampling methods","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19186","last_updated":"2025-06-23T23:05:06Z","snapshot_observed_at":"2026-08-15T18:32:52.600905Z","submitted_at":"2025-06-23T23:05:06Z","title":"From Minimax Optimal Importance Sampling to Uniformly Ergodic Importance-tempered MCMC","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:48:20.456173Z"},"links":{"cited_paper":"/paper/2304.06251","citing_paper":"/paper/2506.19186"},"observation_digest":"sha256:91f77acb844a3edfa4096b52f536e4caa8c072eb6192ed7c1ce5129df406dcfd","observation_id":"1e6e7847-4d21-49fb-8a3d-781bd9da13f3","resolution":{"observed_at":"2026-08-15T18:48:20.456173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06251","last_updated":"2024-10-02T16:17:33Z","snapshot_observed_at":"2026-08-17T12:59:04.204554Z","submitted_at":"2023-04-13T04:04:09Z","title":"Importance is Important: Generalized Markov Chain Importance Sampling Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06251","snapshot_observed_at":"2026-08-15T16:17:54.257202Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07166","last_updated":"2025-09-08T19:28:33Z","snapshot_observed_at":"2026-08-16T00:05:06.703881Z","submitted_at":"2025-09-08T19:28:33Z","title":"GS-BART: Bayesian Additive Regression Trees with Graph-split Decision Rules","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T16:17:54.257202Z"},"links":{"cited_paper":"/paper/2304.06251","citing_paper":"/paper/2509.07166"},"observation_digest":"sha256:9de88a814c7ca39b8bf1c83ee8d085e219038774e44d0066d6f337b77cb2c9f6","observation_id":"7a47fda8-a87d-4949-bfc3-edb0c4e78a1b","resolution":{"observed_at":"2026-08-15T16:17:54.257202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06251","last_updated":"2024-10-02T16:17:33Z","snapshot_observed_at":"2026-08-17T12:59:04.204554Z","submitted_at":"2023-04-13T04:04:09Z","title":"Importance is Important: Generalized Markov Chain Importance Sampling Methods","version":2},"cited_work":{"arxiv_id":"2304.06251","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.06251","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2304.06251 , year=","venue":null,"work_id":"4dce6e7a-5186-435a-9d86-c6aa53093d44","year":null},"citing_paper":{"arxiv_id":"2605.21899","last_updated":"2026-05-21T02:13:20Z","snapshot_observed_at":"2026-08-17T09:20:52.003134Z","submitted_at":"2026-05-21T02:13:20Z","title":"Mad Props: Parallelism in Markov Chain Monte Carlo Through the Lens of the Infinite Proposal Limit","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-22T02:54:28.824351Z"},"links":{"cited_paper":"/paper/2304.06251","citing_paper":"/paper/2605.21899"},"observation_digest":"sha256:d53c8e479b5fdd7c55ceab8adaf6d94364a08f62c6a1732face50d5af69d014b","observation_id":"6d24685a-54d0-41db-8623-a0561882727a","resolution":{"observed_at":"2026-05-22T02:54:32.512518Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.06251/citation-record","integrity":"/paper/2304.06251/integrity","json":"/paper/2304.06251/citation-record.json","paper":"/paper/2304.06251"},"outbound":[],"paper":{"arxiv_id":"2304.06251","last_updated":"2024-10-02T16:17:33Z","latest_version":2,"primary_category":"stat.CO","snapshot_observed_at":"2026-08-17T12:59:04.204554Z","submitted_at":"2023-04-13T04:04:09Z","title":"Importance is Important: Generalized Markov Chain Importance Sampling Methods"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.06251."}