{"as_of":"2026-08-07T09:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8df61118b88ff76ac28d113c1655b2e511953ddda3cc2b4eaad03e843e269e32","coverage":[{"denominator":127,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-09T18:07:38.708080Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.07188/citation-record","integrity":"/paper/2607.07188/integrity","json":"/paper/2607.07188/citation-record.json","paper":"/paper/2607.07188"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.516726Z","title":", title =","venue":null,"work_id":"012a9223-4499-4e8e-83cb-e6bd274299c5","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f17a79dca999bdd173681654967301147537e6f56f16067891e1b90478d04284","observation_id":"eb25d202-6a13-452d-8f4c-c009af82efe2","resolution":{"observed_at":"2026-07-09T18:16:26.518049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.503779Z","title":"and Bilge, A","venue":null,"work_id":"93fbf708-5904-4de4-a123-82995b158137","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:7df0d10eb9b98c7f6f86db6e68cb550705130b80a1d7807ac7dba5af14131600","observation_id":"fcdf779c-fb10-4493-8e45-36ec52920be8","resolution":{"observed_at":"2026-07-09T18:16:26.505129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.405186Z","title":"and Dunson, D.B","venue":null,"work_id":"9caedeb3-76e2-4485-9c9d-defb75e6d7e3","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:c5a1532eec79db918930948f5f8df58cb9be3ec70d64263d61c3fd7a6277d024","observation_id":"03868646-35ca-423c-9f28-608aa5339af5","resolution":{"observed_at":"2026-07-09T18:16:26.406305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.417817Z","title":", title =","venue":null,"work_id":"90cdb519-77f1-4815-85a6-fb9546534364","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:a7c7d5e929d5ce33f21e4525ae4dd45b0398d1342aa34247579b34914448b598","observation_id":"625b76f6-c80b-4f03-8455-d8cf82b1838f","resolution":{"observed_at":"2026-07-09T18:16:26.419484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.428997Z","title":", title =","venue":null,"work_id":"90bbf12d-130e-4f23-bda0-f6325bf8f8eb","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:e154f7c92612b9b56db94077649d8ff467de47486d580be9d39278cd1a72d2c3","observation_id":"974d8233-4f17-4f7e-900d-27501041b84a","resolution":{"observed_at":"2026-07-09T18:16:26.430345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"aoms/1177693","doi":"10.1214/aoms/1177693054","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The Annals of Mathematical Statistics , author =","venue":"The Annals of Mathematical Statistics","work_id":"20f41902-53ef-45c4-9f44-b015ee26634e","year":1908},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:398caef05376b2f8a72c6a272af98bbf7a9c7a993ae2224351f0efe70a46f139","observation_id":"7eb2a2f5-df96-49b5-a7ab-a023ab6bd4b5","resolution":{"observed_at":"2026-07-09T18:16:25.724696Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.383429Z","title":null,"venue":null,"work_id":"7f2c8eff-183a-4f24-adb3-631380beac9b","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:35c57da114e5977468f7027d3c7a8782150358924d3672b7537452d7d9ea36ab","observation_id":"af362436-0093-4d0f-a051-eb84b28350e6","resolution":{"observed_at":"2026-07-09T18:16:26.385559Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.379053Z","title":"and Jimenez-Silva, C","venue":null,"work_id":"476f719e-5f37-4327-a70b-4bc3ad1aeb54","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:e145565e9f9908eebe6204413ad358ecb105fc7879655afa20d26fb88a402f1b","observation_id":"86239d32-81fa-45d2-bf85-3300881fa758","resolution":{"observed_at":"2026-07-09T18:16:26.380767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.401108Z","title":", title =","venue":null,"work_id":"78e8d654-d0fb-469e-a6e4-6c8516dc92b1","year":1994},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:8a1aedff9ac7018d81c2690f3b115c405d1d5b761e3571abda2fd40feff791e5","observation_id":"bccb4a52-5692-4fde-8018-d81b14f2fdcc","resolution":{"observed_at":"2026-07-09T18:16:26.402191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.423099Z","title":", title =","venue":null,"work_id":"b08228b8-7f4f-4cbd-b7c7-6fbcf2e2eb26","year":1989},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:91fd2e51ddf9386a8838e51ce4eedd651cec1bb7bde50ef8f1c7dcde3d4f35ff","observation_id":"538c2f1a-bfb6-4cce-8b15-b6084c2f908d","resolution":{"observed_at":"2026-07-09T18:16:26.424529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.496227Z","title":null,"venue":null,"work_id":"a7e92b3d-c190-4058-a902-dbf19356db3a","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:6f72e62ff40563270b5be6749a7df6371d26af91c1aa2da8985449abb296d8fb","observation_id":"0fd9904f-f2a6-47f6-a7b3-63915f85ed75","resolution":{"observed_at":"2026-07-09T18:16:26.497564Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.511162Z","title":"and Snell, J.L","venue":null,"work_id":"55d2aee3-7342-454a-a20d-50d932d0225b","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:69179036b7da9b364f01e19f9c9413747dda82e93d9425e463df1653c10ccea1","observation_id":"813d39be-34fa-4793-b666-4946114374b7","resolution":{"observed_at":"2026-07-09T18:16:26.512292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.387297Z","title":"and Rosenbluth, A","venue":null,"work_id":"3df200a8-7b0c-45ae-bc66-04a8dcc9ca65","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:caa57e7368dfe0b81d4b142168e62f6520ef7f40c24271711e0c4a8b1e411e46","observation_id":"62946861-ac1d-4492-a578-5bd2a8f9be6e","resolution":{"observed_at":"2026-07-09T18:16:26.388705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.343044Z","title":"and Cantor, C.R","venue":null,"work_id":"9f917f1c-a637-4304-8e2f-1ca8d3b9edad","year":1969},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:04512c229e5bd51cd702ed11031713a54d00eb610231b6ca115f8e5782776a50","observation_id":"feddd6ea-40f6-4ad5-8a0c-77fe9dce2142","resolution":{"observed_at":"2026-07-09T18:16:26.344444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.399226Z","title":", Title =","venue":null,"work_id":"d292c2ac-56a9-483d-9271-2813ea6f6963","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:6923743f6007d618f937a1f0de98ef22b80425c83657db8cb84781f1347af105","observation_id":"dc4f1156-08aa-4fee-831e-5f42b7ddc2eb","resolution":{"observed_at":"2026-07-09T18:16:26.400407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.400044Z","title":null,"venue":null,"work_id":"4f6862b5-2e19-439a-aac6-ce8c43b695b7","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:82220e02b96dded3fbf8048bb720de2b7b44770462abd3608ce633af4b73693d","observation_id":"a65721af-08bb-4919-aec8-433e6fc9a87f","resolution":{"observed_at":"2026-07-09T18:16:26.401234Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.421017Z","title":"and Hwang, Chii-Ruey and Younes, Laurent , title =","venue":null,"work_id":"11dbcd92-f27d-4bab-b77b-4526107d0142","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:8ed783dc5539a1ed70de345ded7c005c507a65c8a92a87142afc096de66ce27a","observation_id":"b1b3c2f1-c31d-4939-af80-8c6943079bef","resolution":{"observed_at":"2026-07-09T18:16:26.422327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.335973Z","title":null,"venue":null,"work_id":"34cef7ee-ccd9-4816-8b81-f3828c5b893b","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:389d0930513730d62856f2fc73362561727a039e75c67413d1792d4becc503b6","observation_id":"40206b1f-2bf1-4acf-bf1a-547b933f4d41","resolution":{"observed_at":"2026-07-09T18:16:26.337439Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.242130Z","title":"and Miller, M","venue":null,"work_id":"299f31d3-8d17-49a1-8027-49cf71110bd5","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:4054bbeae71290756937aa1132c5c76d4a0520b2eea4acc89df4ad92cde9d12f","observation_id":"6add4d29-3c9f-4a91-8177-c0ecdfbb0bfb","resolution":{"observed_at":"2026-07-09T18:16:26.243895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.390400Z","title":null,"venue":null,"work_id":"94bf6efe-de2b-461d-9618-60749c3ddf72","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:de6c7dc2e21c1135ee0e673b61db491d5cabe5458aa2bc9b2670c81ac5d5d16c","observation_id":"466d7b6b-8d3a-4bca-b22a-1ef313e6ff95","resolution":{"observed_at":"2026-07-09T18:16:26.391459Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.353360Z","title":null,"venue":null,"work_id":"fc01ac48-14bc-4751-991f-d27288837238","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:7ec7bccf1b8f76a8d3a6b8e8ff6fb8be99a9982bdac958e0df54b882f39910e6","observation_id":"6013dde5-343d-42ec-92d1-922d5eb0e2bd","resolution":{"observed_at":"2026-07-09T18:16:26.354814Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.212659Z","title":"and Roberts, G.O","venue":null,"work_id":"5cc9c6e7-fc27-4ba0-9f21-1e2712953109","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:ee76a138f0e89f243e9b6ff305968022f9cf72fcfc1ddb7a42917105a76a334f","observation_id":"d45a559d-5da8-4e5e-aedd-db6bd52389c7","resolution":{"observed_at":"2026-07-09T18:16:26.217330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.219837Z","title":null,"venue":null,"work_id":"dc5a37ca-4cf5-4d56-b429-5d914d4a0964","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:c29904752045ae69cf98c84a65783d796707822daaf88964da75372fe2f85998","observation_id":"6c5fe9fe-0d08-4741-8275-7d210fe35796","resolution":{"observed_at":"2026-07-09T18:16:26.223848Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.410652Z","title":null,"venue":null,"work_id":"e35fa3e7-d733-4240-be92-f1a3eb326a6a","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:1a7e0b8a4c477955138f9cda2f71b08629ecee8bf03981fc1faaa4e4d022730f","observation_id":"d46e2228-46e9-49d8-bd7d-b2b944526896","resolution":{"observed_at":"2026-07-09T18:16:26.411757Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.395405Z","title":", Journal =","venue":null,"work_id":"e063a9bb-4bcb-4742-8dfd-3297924d7ad0","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:b03fa44cc0d4d18c212c891c5ab7ac05200a27a6b8d63947bb5021a466ca5d06","observation_id":"e508be06-1fe5-4b50-acaf-09eded3efcb0","resolution":{"observed_at":"2026-07-09T18:16:26.396801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.392817Z","title":", Journal =","venue":null,"work_id":"b78879d2-f38d-4f2c-83e4-a0dc2cee7ba1","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:789997347cfe9d472baeac52348f9ec934a73dcc7f4844a4b4f38b2921ae7d65","observation_id":"f11d0f89-f771-4eee-9eb2-16ae5aee0488","resolution":{"observed_at":"2026-07-09T18:16:26.394070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.500006Z","title":null,"venue":null,"work_id":"8b872d0e-042c-4aa6-b9ec-2575b85e2184","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:eb4e61fdf4b4e78f89d6d6ab5ba094a8d9aa93d539ec09ad30288054e8010ce8","observation_id":"ba1562f5-5578-445b-a420-853462e305c5","resolution":{"observed_at":"2026-07-09T18:16:26.501632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.505485Z","title":"and Wong, W","venue":null,"work_id":"899c9f7c-b841-4cbf-8bdf-c8121bf5d871","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:028df7b401d1c95d53fd39982a7bf92a7fd4262a9df25052b9c7e01793779d25","observation_id":"20430565-c92c-408e-ad5b-1e87bfc29e25","resolution":{"observed_at":"2026-07-09T18:16:26.506593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.499711Z","title":"and Forster, J","venue":null,"work_id":"880b684e-bc36-4d9a-9790-831d4fe40d98","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:4676245b568ee36fc3de0ce7939a572b3bd388a45d8c785fcb03bdcfcf1e81f4","observation_id":"5a80be1a-ba16-4601-aec6-205c2eb0873e","resolution":{"observed_at":"2026-07-09T18:16:26.500915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.494281Z","title":"and Rosenthal, J.S","venue":null,"work_id":"c868ec50-2667-43aa-8368-fe84e2a29569","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:adade0349beb36f760240dfd733588e23c05258e6728ed239ca7929055dc2314","observation_id":"c2961131-9513-431f-9de4-d81fc7eaa559","resolution":{"observed_at":"2026-07-09T18:16:26.495730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.473909Z","title":null,"venue":null,"work_id":"f6931924-5438-497d-99d6-61ac580a4c3b","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:16a19adf7c24151106e00170ef7e238a9bc53b07881b96a2d5665deaae820fc3","observation_id":"b7b4b6dc-264c-4827-877e-bee56aaa4e37","resolution":{"observed_at":"2026-07-09T18:16:26.476466Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.486851Z","title":"and Robert, C","venue":null,"work_id":"94bb7827-027d-4617-87ce-054067d752bc","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:5c4b32cdcd88e12c11caba1af465119e06b10ab5c143c862f006a1db78c318db","observation_id":"54bf4bbc-9c2b-438d-baa9-77be59f1d0ed","resolution":{"observed_at":"2026-07-09T18:16:26.488258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.492090Z","title":"and Hurn, M","venue":null,"work_id":"564298bd-b654-4698-8878-0c29fc57c758","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:1e4c848d309039434e94f0e32b9e25e58c9743b6a3c457eaf13d8e04b4c95dd2","observation_id":"765f91cc-f073-496c-a7d1-86e3133f3b11","resolution":{"observed_at":"2026-07-09T18:16:26.493518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.422936Z","title":null,"venue":null,"work_id":"2a25efe2-b13c-496a-afaa-334b1bb9a8ff","year":2003},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:b2f81cd290d6afcea2d567d48079206b0798df859493a603b4f897fd9db4bd66","observation_id":"8b180a30-3506-463a-a892-b6a50d2ad1f2","resolution":{"observed_at":"2026-07-09T18:16:26.424023Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.514774Z","title":null,"venue":null,"work_id":"71495228-7067-46ae-9b1e-c220a8d2563a","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:25d8a1a3ed31d153a6b8cd54d9be231dd583bd682cafcdce82595285d7180f48","observation_id":"ec95c4b1-b29e-4e90-aaba-ed31deee4c8b","resolution":{"observed_at":"2026-07-09T18:16:26.516144Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.270163Z","title":"and Stephens, D","venue":null,"work_id":"0372c47a-f303-4d79-afec-4517ceb9adf3","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:4796b5cc23744243fdbd3a5bca79756455050630aa087e4f30491ce94d203a16","observation_id":"5096192c-52fe-472c-986a-3241f594d69a","resolution":{"observed_at":"2026-07-09T18:16:26.272081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.385310Z","title":"and Dellaportas, P","venue":null,"work_id":"6259164f-0162-4e78-9930-d1d93633c0cf","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:44912f90b211dd2b6bd313b34fe59bd7f6d44ff865d64115d78e02c13d05e54f","observation_id":"bee0eed0-1287-40be-b8e4-71212f1fd5d2","resolution":{"observed_at":"2026-07-09T18:16:26.386699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.393593Z","title":"and Peters, G","venue":null,"work_id":"80083728-59b6-423d-bc2b-bac185001009","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:bbb4bc2a866b9ddaba978982d7b530cd1c9d757cb7a008cc824b58fc5723a016","observation_id":"db58cfa3-8cf6-4b56-99f1-7007a85d2ede","resolution":{"observed_at":"2026-07-09T18:16:26.394787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.392006Z","title":null,"venue":null,"work_id":"2cdf6e13-ecbd-4f4f-b81f-437dffa5889b","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:0c76e7efcd840181aa14e4d409924139f7cb45611644611541d0d92d1c788051","observation_id":"9dd3845b-1cbd-4df9-b126-dca2714391dd","resolution":{"observed_at":"2026-07-09T18:16:26.393054Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.341071Z","title":null,"venue":null,"work_id":"e38bcf36-a924-4bcc-97e2-a6f189003e6d","year":2011},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:dbbb96abba5893524b4738cf1e79774f7e6b2d60e24554e6b46fdb9f67ff34aa","observation_id":"05c394d2-0389-4f32-93fc-7a1d0d432ea9","resolution":{"observed_at":"2026-07-09T18:16:26.342447Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.389219Z","title":"and Calderhead, B","venue":null,"work_id":"b643a79c-336c-466e-b3a2-836cb6c0e89a","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:7961ec8de17e4ce2d5e1cabfc3560c2ff783b95c7af870c0e4666f43635979e7","observation_id":"be637afc-439f-4fd0-ab32-4cfa268308da","resolution":{"observed_at":"2026-07-09T18:16:26.390594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.338446Z","title":"and Yang, Z","venue":null,"work_id":"a61d9f6e-8928-406b-a3c1-fc4f08f65fc5","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:13059a48c53780a26972f6c497f530bf3187319baa7224077ef2c483e4aaa893","observation_id":"b9b504a9-1611-437f-8e1b-9ee5e262811d","resolution":{"observed_at":"2026-07-09T18:16:26.339905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.427095Z","title":null,"venue":null,"work_id":"ba3e07f6-fcb6-4dd9-9033-c715258306c9","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:9935ebba70ebf0d0f8bda3abe56ed2ae3fac3ae5b2429d773b514707cd950185","observation_id":"c65ca55a-e772-4c69-9b4b-22b5f9f06a20","resolution":{"observed_at":"2026-07-09T18:16:26.428457Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.402746Z","title":", Title =","venue":null,"work_id":"a3c5df04-b6f6-43d7-8dbe-5761021cdba9","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:952da0b245a2f496d502d6007b697b6d3dac61cf5cdcd37ead041dc3ba06d29a","observation_id":"370cbc95-8e8a-419a-bdb5-5906f9f91d41","resolution":{"observed_at":"2026-07-09T18:16:26.403728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.396622Z","title":"and Yang, Z","venue":null,"work_id":"bd8abdba-df35-4c10-9c2f-af8fbcdb922b","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:dfa4b9e0d0800f20d0503af5025f576f3ba2989de8a11e2a36e224108ed9fc54","observation_id":"f0c2ff06-f14a-4b08-9915-c342bde56b2f","resolution":{"observed_at":"2026-07-09T18:16:26.397763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.381431Z","title":"and Rannala, B","venue":null,"work_id":"fe5ed14e-d3e5-477b-84df-c0c980f29bc3","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:b60709937b2ae45972e0934258420343e03abc64770cb00391532a6de871b9ca","observation_id":"46d0b7a8-c926-4d86-b733-7acdcdd35047","resolution":{"observed_at":"2026-07-09T18:16:26.382813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.369868Z","title":"and Newton, M.A","venue":null,"work_id":"60a9fd81-d483-446a-9261-41018d7e3ee8","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:e80957228f5d971c87c050b05c6f2a2dae7e3ac7e53113fcff5b3809661b5c52","observation_id":"e9732df5-182d-486c-81c0-490134c991b3","resolution":{"observed_at":"2026-07-09T18:16:26.371253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.323164Z","title":"and Pearl, D","venue":null,"work_id":"3cf7f5ee-654e-4d88-b1d0-cc94dd0d55de","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:de1d483ad1e5ad3c254244b41d78cba189ff7495e434e21fa8c7463d220f0942","observation_id":"61cef391-29e6-417d-9fd0-945d83771cbe","resolution":{"observed_at":"2026-07-09T18:16:26.324577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.376731Z","title":"and Teslenko, M","venue":null,"work_id":"3ce5c276-07d2-4cb8-b905-54bd8ebddeba","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:040ec39dc8993afd29ed8bd1c812833ada9b4bee04463a9b073e5aea820a01a0","observation_id":"a8fa7f2f-9c5f-49ba-aeab-083358b32799","resolution":{"observed_at":"2026-07-09T18:16:26.378444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.403526Z","title":"and Lepage, T","venue":null,"work_id":"866afb73-2b68-42e1-883a-11851966fb5a","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:3ea17c3cc49464beab0fb294c2a6711183a56ea7f98364f20c4f8d3a95a355b3","observation_id":"c13ace98-9e02-444c-bbb3-a6d19dfdfc92","resolution":{"observed_at":"2026-07-09T18:16:26.404629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.365482Z","title":"and Heled, J","venue":null,"work_id":"8b5a1f47-3132-4159-ae35-04b8cad51fb7","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:1cb003679a87f6322cdc3ba20e83632fe181e0c5d3d747450ff9b19fa6512486","observation_id":"30ccb323-6bd1-49c8-b0f5-ef3c8aa32910","resolution":{"observed_at":"2026-07-09T18:16:26.367197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btx088","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Lemey, P","venue":"Bioinformatics","work_id":"58fdce47-f7e6-4d17-9d73-8e1b9d1cd0e2","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:363be6ffb262c49281c37ea7449ced402f010917a7cb350e5fb05ef0bf9d5a6e","observation_id":"26d38cf6-9767-440e-8c4a-c92b7376e8e8","resolution":{"observed_at":"2026-07-09T18:16:25.733735Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.394730Z","title":"and Simon, D.L","venue":null,"work_id":"b7513505-5883-4e12-8615-dc72c7c34b38","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:d370867886f373d9b71b226cfa3ed51a3ec7651aa10bafcec08606b76e1d044c","observation_id":"27392396-36af-474b-81f7-8e1f9692e408","resolution":{"observed_at":"2026-07-09T18:16:26.396046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.371975Z","title":"and van der Mark, P","venue":null,"work_id":"e93fd539-e321-4454-9dc5-5c979f1e6ecc","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:52885484220e837dad11e29313816a438cb90b079f5d29a530971944f2b47931","observation_id":"9642f5ba-a8ff-4e91-a378-e846a8b72927","resolution":{"observed_at":"2026-07-09T18:16:26.375984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.386161Z","title":"and Drummond, Alexei J","venue":null,"work_id":"08fc7acf-4797-4ca6-bad0-c2673b381508","year":2008},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:68a44fa37395045ad52b2a5a458a1b00b050f2873ae9d877bbb3c498db48686a","observation_id":"4eb87ac7-f5fe-4d1b-9c06-83f4b93fc514","resolution":{"observed_at":"2026-07-09T18:16:26.388002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.512484Z","title":", title =","venue":null,"work_id":"352c428a-82d3-48ee-a36d-764a53015384","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:3c26504c35d6a062e0301e4e107aefded435206c71ff3734c41ace709ae3e689","observation_id":"8457a173-eadf-4efb-8e98-fc5ba0035dfc","resolution":{"observed_at":"2026-07-09T18:16:26.513533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/sysbio/syy008","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Systematic Biology","work_id":"0b196fef-e5ae-4f4e-b59c-b3da1ca0150a","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:7b6c9c939ace6bd4d83bfc8fe91e7262f0b0aa4e58f0651e7e8e898bc5af2b2d","observation_id":"8ee98c5f-2a7a-4dbe-afd1-846d5c31a1e7","resolution":{"observed_at":"2026-07-09T18:16:25.734158Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/sysbio/syv006","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Matsen, F","venue":"Systematic Biology","work_id":"e2c4390d-b944-41f5-abac-79d2b0e34aa6","year":2015},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:975dd7c141f4b3333c3325e69dac615278bb1b7f0a692c6fa049414a2f569ccd","observation_id":"eb01d3a4-12f2-4543-8493-e4a70ef806bd","resolution":{"observed_at":"2026-07-09T18:16:25.732206Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.357513Z","title":null,"venue":null,"work_id":"1f478439-9959-4471-8717-7f7c6b9cdd08","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:65b2bd1ce9a61886301f3c7efc4cb52a6795524fef94c3c6b6e8eeeb4fc9135e","observation_id":"f959a427-89ce-4ba7-9531-31ccbd099d43","resolution":{"observed_at":"2026-07-09T18:16:26.358936Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.498103Z","title":"and Olsen, G.J","venue":null,"work_id":"5e9dfe3f-a12e-43c0-87a0-7306f80971f5","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:2f9e0432f66d53365485480a68bddc49e8b4103faab22c0f9a814bfe9119897c","observation_id":"540c7651-cd22-4d34-ac3f-6eb0b579b799","resolution":{"observed_at":"2026-07-09T18:16:26.499292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.505748Z","title":", Title =","venue":null,"work_id":"f94b42cb-6739-4ec9-a17f-5032fe07fd1e","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:e5c1fe3e697b0ad351651e394a24c0b2028fe58ab76d53a67c1b738007a4b05c","observation_id":"90b76ffb-3fb5-4448-8cfd-378592e3927c","resolution":{"observed_at":"2026-07-09T18:16:26.507068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.507215Z","title":", Title =","venue":null,"work_id":"718b4dba-74ca-4bdd-82c7-8c5c036eafdb","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:336d8db8bec189e91fd1c3a08a984a5e352d6f4a39a4c0d262b58316fd98267a","observation_id":"1543f157-4ab7-48f1-8659-5532878e1dcb","resolution":{"observed_at":"2026-07-09T18:16:26.508269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.507617Z","title":"and Yoder, A.D","venue":null,"work_id":"205ffe61-5ed6-4e21-b65e-c70c9595a090","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:3d5c88e39d5193069198fe5a5dd5946b49f871b7ce76a9e0a3f13f0b6f5bb4d0","observation_id":"f123f967-9725-4d21-ad9b-2a5da8c09427","resolution":{"observed_at":"2026-07-09T18:16:26.508708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.497851Z","title":null,"venue":null,"work_id":"0b8b61e1-41ab-4779-b008-4635c584ab80","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:1f20ced397374ff4f0ab51385d95f8751d3d405091010189c9254cd272448fde","observation_id":"24044bcb-4530-47c2-8b74-dfb12d416426","resolution":{"observed_at":"2026-07-09T18:16:26.499127Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.325500Z","title":"and Yang, Z","venue":null,"work_id":"474a2979-3e00-4e0f-95c8-d2294f48c6ad","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:61ea74066fe3fe20e2dad246397527edc65fdb0df944849c7ce1304fb3000c76","observation_id":"5ee98f05-711a-40ac-8008-c596bda9fb87","resolution":{"observed_at":"2026-07-09T18:16:26.328099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.1712673115","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Zhu, T","venue":"Proceedings of the National Academy of Sciences","work_id":"5e62c9c6-b4d2-4376-bce4-921c7b2109b2","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f11a4d140bace5fc001a2bd2ea1a3910e26a11067cc17fdf1efd73717bd50d3a","observation_id":"b259e371-3f30-45f9-9298-daf8bf831b56","resolution":{"observed_at":"2026-07-09T18:16:25.716677Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.322271Z","title":", Title =","venue":null,"work_id":"bbd4b51c-2956-410c-a319-a4e55de61946","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:d4d45087a59751c45bc7578c823940650ab3c1fc50d2660d77658cc56334f8f0","observation_id":"48cb48d1-07ee-4b56-8f71-56ecf29d3319","resolution":{"observed_at":"2026-07-09T18:16:26.324033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.302688Z","title":"and Jiao, X","venue":null,"work_id":"89984a3e-816d-4fdb-b863-ce788a7695f7","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:a23f60819cdbe48df43fe0b527ed249e715325385aa755151662e84cd12310e3","observation_id":"caffca30-372e-4256-b3d1-c5dbc82f1871","resolution":{"observed_at":"2026-07-09T18:16:26.309751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/17-ba1084","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Dalquen, D.A","venue":"Bayesian Analysis","work_id":"e7f5812b-9770-4e48-a4bb-9b8c459c4afb","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:ced089c25f8120f8c1220350bc70f00b1eaef322408719376a22e5df5679ec91","observation_id":"9e093772-e485-4da2-9cd0-74c988f8999b","resolution":{"observed_at":"2026-07-09T18:16:25.730177Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.320049Z","title":null,"venue":null,"work_id":"cece21eb-c836-4c07-9bef-fdb7b82754a1","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f339011d4265a54ef5cd5478627333f917f0f4bb693e630f100ea775a3676ef0","observation_id":"45c510b8-892a-493b-bbb6-d7b3c9a8a9cc","resolution":{"observed_at":"2026-07-09T18:16:26.321491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/sysbio/syac002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Systematic Biology","work_id":"05d91052-68d6-4da6-95f0-2803714b453d","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:77c577eac0f4d520010b15c16542b191cdbf9a31445d4afa096e69fecb178223","observation_id":"1dccc4ee-9a77-44ee-b9aa-8daafa8581a9","resolution":{"observed_at":"2026-07-09T18:16:25.727302Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/sysbio/syaa002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Huelsenbeck, J","venue":"Systematic Biology","work_id":"a78f5616-a627-4743-8431-a0602ff5a713","year":null},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:30ce888e504e5d59f08592e969335302ac85b9ee30bdc8713c85eb131a424c3b","observation_id":"b93a2801-4886-42f2-a10d-d38842a5fed8","resolution":{"observed_at":"2026-07-09T18:16:25.731721Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/sysbio/syab004","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adaptive tree proposals for bayesian phylogenetic inference","venue":"Systematic Biology","work_id":"4c4cdf37-b411-4783-8da2-1b663f1a7491","year":2021},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:58f6459f88e7c0a4a2558524b18b2b8ae41331bbede9947f9bcd97c0aad81e1b","observation_id":"8d6c0162-3c26-4da0-8b3f-b5681248e3e6","resolution":{"observed_at":"2026-07-09T18:16:25.721974Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.349470Z","title":"H., Xie, D., Suchard, M","venue":null,"work_id":"755d419b-c1f3-4e60-9d7b-3b925d0e2714","year":2014},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:adcbeaa30903bdc2da7e16619da71c34581a9374c1d0cbc77ecdd74b11b29aac","observation_id":"9b909256-f0bf-49d3-9d06-ed5fdccb79b7","resolution":{"observed_at":"2026-07-09T18:16:26.350903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.344659Z","title":"P., Guidici, P., and Roberts, G","venue":null,"work_id":"1a3386b3-f715-42ec-aebb-8bc1475b4d6b","year":2003},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:074b4c4ba8c91e090f743f41489bc7ad9cff81e65cafafadca809bb1206dbcce","observation_id":"31166f39-1952-4753-8a9e-0a4497143029","resolution":{"observed_at":"2026-07-09T18:16:26.346085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.315170Z","title":"P., and Ryd\\'en, T","venue":null,"work_id":"5edf1170-8e6b-46b0-819d-6ae5127072f9","year":2003},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f775ce27166416d69319fe9601c0f77de57d71a9cef7a59f539af6ac642d6359","observation_id":"9718e43a-8c4a-4efe-8821-240995ba4040","resolution":{"observed_at":"2026-07-09T18:16:26.316898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.292646Z","title":null,"venue":null,"work_id":"51977086-9708-420d-81b0-34f654759d60","year":1995},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f9d7bcedf6aa7fd82dde922a4fc5737d41aafdd8aab9e614d104cfe5f25fae10","observation_id":"26f39752-0b8c-4abf-8fad-e9205d68bedf","resolution":{"observed_at":"2026-07-09T18:16:26.294165Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.267023Z","title":null,"venue":null,"work_id":"040d2eb0-865d-4a60-bb02-e16fbfaf757e","year":2014},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:cc44684210a1ff578e124ab7f687bc119959eddb0e2c311664f325e1c6cd5470","observation_id":"7dcc6ab7-b04a-4f60-b544-98ce1a8ec13c","resolution":{"observed_at":"2026-07-09T18:16:26.269323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.298760Z","title":"J., and Ntzoufras, I","venue":null,"work_id":"59cd5ad5-60f6-4d44-b011-52f91974346f","year":2002},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:e66ad58bbc69d16a914c64b391f17aa18bbe1139c5da905361135a6d27edd2ba","observation_id":"80741c86-1e8a-4f1c-833f-0362ccfbaf02","resolution":{"observed_at":"2026-07-09T18:16:26.300570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.261593Z","title":null,"venue":null,"work_id":"1b9ab086-1de8-4484-bff8-c461b1284465","year":2004},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:ae9696afa02953c263d3a4be2a5b7cf2d175aa49e67b819c8498a5a7163a5975","observation_id":"19260f2d-6e90-45c3-b799-c82e940a8704","resolution":{"observed_at":"2026-07-09T18:16:26.263272Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.351561Z","title":null,"venue":null,"work_id":"6262b420-def6-4a25-8e4a-9e76bc997abc","year":2018},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:a89bde8b490055d75aad195d7ee896e6d493740e0d35565422653ad8dfb5bda0","observation_id":"02af14e3-2369-486a-9978-a58646b3bac3","resolution":{"observed_at":"2026-07-09T18:16:26.352685Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.510756Z","title":null,"venue":null,"work_id":"d0e8156e-9106-4db2-a149-6f413bf79281","year":2020},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:0d213351e4b278100af2d354a28ca00720382ed6ed78b55f144f628e42ae4c67","observation_id":"cfea3477-e23d-444f-956d-5df96e64cd45","resolution":{"observed_at":"2026-07-09T18:16:26.511791Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.330698Z","title":null,"venue":null,"work_id":"07a83b5c-74ea-47d0-ba31-92da0a325168","year":1992},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:eb4ecb7fe5e94093c9a17584c8c26d853def19740df80ace14a8f331c5aa7e0e","observation_id":"2fbf1876-93c8-4a19-99cf-feeb6356b958","resolution":{"observed_at":"2026-07-09T18:16:26.332326Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.267301Z","title":null,"venue":null,"work_id":"bef398d0-4546-4325-b695-c04939523c0b","year":1996},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:4e3d80d28a75900115f8cc58f0ee18ee8e2f6c863bc5a4c807156bfb8e7e16db","observation_id":"40449762-0e33-49f8-9278-2125872c0b54","resolution":{"observed_at":"2026-07-09T18:16:26.268823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.256096Z","title":null,"venue":null,"work_id":"3d7d15b5-3c69-4ebc-bda1-a8237a04fcaf","year":1992},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f4f3c787f8f79ecb7cf4df0eb93ff7aa0d6040ed180110e74cfdcdc505b8ddd0","observation_id":"ff4bebd0-a4a2-4e92-9a44-ed1d81b4ab20","resolution":{"observed_at":"2026-07-09T18:16:26.257958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.310683Z","title":"and Calderhead, B","venue":null,"work_id":"ffa0f57a-828f-4b79-a124-e54959816bb7","year":2011},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:ef1c8c433a54ea798e534aef9f92c608a96641901983714a0be689b04912331c","observation_id":"71f13ae5-2f9e-4655-8b0f-f7eb67a79dcb","resolution":{"observed_at":"2026-07-09T18:16:26.313646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.355466Z","title":null,"venue":null,"work_id":"e839fd26-05c5-43d1-9cd7-4fbd26e976f0","year":2001},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:40bc1cf55551ddd36ab44de1ac473ebdb204c916ccbcb7c33cfbcb9717d79f5f","observation_id":"b26565f3-fa44-4911-b78a-d8651ab1ef5b","resolution":{"observed_at":"2026-07-09T18:16:26.356947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.361467Z","title":null,"venue":null,"work_id":"8f098eb7-800b-46fa-b887-6c40385cabd6","year":1995},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:c3e6237d55170fa206b426e0539015afd75f37d186df84fa88a81c8b9d79934d","observation_id":"4ffea9d0-6051-40c2-baa9-64518754e042","resolution":{"observed_at":"2026-07-09T18:16:26.362872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.407002Z","title":null,"venue":null,"work_id":"619ee5e1-4077-4d98-a940-4edf9c8e5dab","year":1992},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:ebe7df7c8608d231d1ac8389bf0da7b5ceb7fac094184fd650818825fa526c9f","observation_id":"3ad5d9c2-c389-47df-98e7-3470bc2ec2c6","resolution":{"observed_at":"2026-07-09T18:16:26.408613Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.412271Z","title":"and Miller, M","venue":null,"work_id":"07ca017f-1dc4-4de2-b607-eb689dfc3039","year":1994},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:5472b4e7cd2966a6c38890677e6938c5ecaa631f84756fb83004f51f4236b516","observation_id":"100b8d03-ab11-40b6-8b51-0fe78ccdc139","resolution":{"observed_at":"2026-07-09T18:16:26.413506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.415908Z","title":null,"venue":null,"work_id":"6e0ae546-2219-45bb-97fe-f16056173b05","year":1970},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f35eeefa9879356e11b8d5a1a7cedd3a2c837bbe0b6d3e874fc44f367f97e86c","observation_id":"d6228870-f617-49fc-a1c8-ed8551bcc866","resolution":{"observed_at":"2026-07-09T18:16:26.417008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.415722Z","title":"and Drummond, A","venue":null,"work_id":"978ec50c-0f20-4fac-acac-709087b1f6e5","year":2012},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:6ead42f4b2dd223714a42533b37da91d9842f4fc6fdb158d581adf41e1c426af","observation_id":"332ef5f8-a573-48c0-b5f2-333fbd50627b","resolution":{"observed_at":"2026-07-09T18:16:26.417195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2008.469666","doi":"10.1109/bibe.2008.4696663","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"17381e2b-8a7f-4483-86da-6d32f1e8e1a5","year":2008},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:5684ae8c2fdeb2a170e9555f33e1210886d78494a8ac08d2bcafd7707d2a9625","observation_id":"cbede1fb-ab59-487b-9557-79091e8577a0","resolution":{"observed_at":"2026-07-09T18:16:25.727975Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.420654Z","title":"A., and Holmes, C","venue":null,"work_id":"cbd9f776-3bf0-44d5-b771-a79d870710f6","year":2007},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:63f2346cad708eb808e49e63133039c7fbd52238e507ca6b031c621ed3bc3fb7","observation_id":"5fd83b93-bf89-402d-91dd-0f6b1a1e626a","resolution":{"observed_at":"2026-07-09T18:16:26.422511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.483477Z","title":"A., and Al-Awadhi, F","venue":null,"work_id":"211853b5-78d8-4f2d-9f85-c83a1972f584","year":2003},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:9bece9a59ce6c37a28b025881e12c0489d11deee81c7893ce36b8dd8ad9ba31b","observation_id":"8a0929ec-b2ec-48e9-be27-9bc059679a67","resolution":{"observed_at":"2026-07-09T18:16:26.484530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.480060Z","title":"and Cantor, C","venue":null,"work_id":"707d83a7-c0d0-4e50-a071-e1b3d2faf3c1","year":1969},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:bfd36c5bc0738b921709e63bbef612ca6944529c59d2b93639c0ff74637c1410","observation_id":"c34d6588-8114-4f6c-a6c1-d4f41b5374e8","resolution":{"observed_at":"2026-07-09T18:16:26.483301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.333028Z","title":"and Snell, J","venue":null,"work_id":"2a3805c6-fb9e-4f07-9f36-1bf977d2f85a","year":1960},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:4a5ee1b1113d776ce1826d32ef335aa2baec899af0a739589e0e5f72e6f36af4","observation_id":"026a5b04-c03b-4154-baa5-20dfbad9595c","resolution":{"observed_at":"2026-07-09T18:16:26.334385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.359587Z","title":"P., Larget, B., and Ronquist, F","venue":null,"work_id":"a1090449-ac11-4aac-b956-6b95611fcd9e","year":2008},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:b6ec8433c08aa13a77a1739c138ed0cbe4dba8eb3d65b77f267cf7eb00abd9a3","observation_id":"1ae7d445-5a86-40b2-89ac-7eb77c52243a","resolution":{"observed_at":"2026-07-09T18:16:26.360865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.340495Z","title":"and Simon, D","venue":null,"work_id":"c93f0f05-097c-4545-b5ad-f94e595778f3","year":1999},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:f094c2b367086b81c6b6ce3ed564cb61a7ec94c757820919c191e6e5ea0fb8f6","observation_id":"55c83a2f-39bd-493a-aca1-16c4ef991f6e","resolution":{"observed_at":"2026-07-09T18:16:26.341696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:16:26.271371Z","title":null,"venue":null,"work_id":"74c7460b-7455-497f-95f6-aa051b24a91d","year":2009},"citing_paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-07-09T18:07:38.708080Z"},"links":{"citing_paper":"/paper/2607.07188"},"observation_digest":"sha256:8b2269e514462ab52ed0efcebbb393cce80b16f42e2fce6e5b14a44c94e0abbc","observation_id":"6decefff-8421-4d4d-8008-dd566aefaf84","resolution":{"observed_at":"2026-07-09T18:16:26.276561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.07188","last_updated":"2026-07-08T09:23:55Z","latest_version":1,"primary_category":"stat.CO","snapshot_observed_at":"2026-08-04T11:34:14.828025Z","submitted_at":"2026-07-08T09:23:55Z","title":"Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":31,"verified_exact":9,"verified_fuzzy":59},"total_outbound_references":127},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 0 inbound Pith citation observations for arXiv:2607.07188."}