{"as_of":"2026-08-16T00:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:13f56d64b6e9e4aaa77ed123d9477e3e77b47e7d2b88157a3f0e4d5929a88bb5","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:33:34.537839Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T22:20:34.053820Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.13187","snapshot_observed_at":"2026-08-02T22:20:34.053820Z","title":"doi: 10.1007/978-3-319-97704-1","venue":null,"work_id":null,"year":1964},"citing_paper":{"arxiv_id":"2602.17587","last_updated":"2026-05-29T10:41:53Z","snapshot_observed_at":"2026-08-13T23:18:21.436210Z","submitted_at":"2026-02-19T18:11:02Z","title":"Asymptotically Optimal Sequential Testing with Markovian Data","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-02T22:20:34.053820Z"},"links":{"cited_paper":"/paper/2501.13187","citing_paper":"/paper/2602.17587"},"observation_digest":"sha256:d57ff90eb33c4d38ff31e25fa4701addbebef7d96ae72891f741d3dbc471834d","observation_id":"dd686627-8b08-495a-860e-a3c3adc2617b","resolution":{"observed_at":"2026-08-02T22:20:34.053820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.13187/citation-record","integrity":"/paper/2501.13187/integrity","json":"/paper/2501.13187/citation-record.json","paper":"/paper/2501.13187"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:33:35.262027Z","title":"Large deviations, hypotheses testing, a nd source coding for ﬁnite Markov chains,","venue":null,"work_id":"306de872-e975-4f26-b866-6629b820afcf","year":1985},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.402109Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:bf297eff9ee4a482e0451a5dadaeb8d0cecfd98cbdccd863ca16b0d7e85b8dc9","observation_id":"793870b0-57c0-496a-86c7-082ae814f28c","resolution":{"observed_at":"2026-08-10T16:33:35.269602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2333821","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:33:34.821553Z","title":"Sequential Analysis of Dependent Obse rvations. I,","venue":null,"work_id":"2f018c65-9e5b-40fb-b906-99f2f478129b","year":1965},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.408498Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:efbfe9c4ff5eed9567370c19ac0fb0b0a0551120693ab3dfa67528d34e1db42d","observation_id":"3db3ec85-0460-42e9-a7ee-b925bb7ce5f6","resolution":{"observed_at":"2026-08-10T16:33:34.833676Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:33:34.415539Z","title":"Sequential Tests of Statistical Hypotheses,","venue":null,"work_id":null,"year":1945},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.415539Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:dadf76a6716d612885357fa5fc7ec9dbb562715ee6826b6772501b8c139f037c","observation_id":"829eace2-b3dd-4914-ae84-3ce18461e68c","resolution":{"observed_at":"2026-08-10T16:33:34.415539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:33:35.240953Z","title":"Minimax optimal se quential hypothesis tests for Markov processes,","venue":null,"work_id":"3dcadf67-936c-46a0-ba9e-5fc6f089371f","year":2020},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.421877Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:0a6a94a03bd576cebabc49c83c4a40c5b0a5eafd5649913128c869ae74db19dd","observation_id":"8eeaacbd-a5c3-4961-8a29-477550ca5d43","resolution":{"observed_at":"2026-08-10T16:33:35.246495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.220635Z","title":"Asymptotically optimal tests for multin omial distribu- tions,","venue":null,"work_id":"d361059e-3585-4550-9795-28307330fa2c","year":1965},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.428816Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:34f20a40451e29f6eec24d630e229bd619d2968894d4c9f52888a231eb1cfbf2","observation_id":"65990005-1f7b-44ce-9aa4-66a6e5f85ee0","resolution":{"observed_at":"2026-08-10T16:33:35.227711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.201649Z","title":"Generalized sequential proba bility ratio test for separate families of hypotheses,","venue":null,"work_id":"07ca072c-35fa-4d8b-90e8-2f9c7c31dc8c","year":2014},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.435561Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:a9a17ba2061ff439e2eb964a6e8521d456039a319857660c7f53abd549e6fd67","observation_id":"97dc3fc4-e6ad-4bdd-b23d-5abf349e2621","resolution":{"observed_at":"2026-08-10T16:33:35.207308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.180706Z","title":"Statistical anomaly det ection via composite hypothesis testing for markov models,","venue":null,"work_id":"f8dab5fe-c38b-4e05-9f02-ac40fff3b861","year":2018},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.442951Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:2d928fd076a8bb7e58303fc0c5b30ce23bb7b246ad6dab319026975c42fae4c2","observation_id":"936d029e-ac12-4fc8-8ee8-48f954a5382f","resolution":{"observed_at":"2026-08-10T16:33:35.186222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.06069","last_updated":"2022-05-12T13:06:11Z","snapshot_observed_at":"2026-08-13T15:45:10.679616Z","submitted_at":"2022-05-12T13:06:11Z","title":"Sequential algorithms for testing identity and closeness of distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.06069","snapshot_observed_at":"2026-08-10T16:33:34.449059Z","title":"Sequential algorithms for testing identity and closeness of distributions,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.449059Z"},"links":{"cited_paper":"/paper/2205.06069","citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:efc644e7decf971253f392a2644d4b910212a483939d5bd311744a3c499e7be2","observation_id":"588da4b4-27c2-4ba4-876f-e1fd3ff08d81","resolution":{"observed_at":"2026-08-10T16:33:34.449059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:33:35.146641Z","title":"Properties o f Jeffreys mixture for Markov sources,","venue":null,"work_id":"e58b1b43-d4a0-4beb-93d5-11eba7eb099c","year":2012},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.457083Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:7142ce03b87c82bb135b823b8caa2cf7c80c36b7e13a56d6f3a107ccfd6192ff","observation_id":"024d1dc9-166b-4260-a38c-71fef55682dd","resolution":{"observed_at":"2026-08-10T16:33:35.165718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.107453Z","title":"Minimax Testing of Ident ity to a Reference Ergodic Markov Chain,","venue":null,"work_id":"39994d68-917b-47a8-ba58-2667861a98d8","year":2020},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.463117Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:bd901a2429f3fe9ef6c10cd33f7b5e0018a499e6b3aae1014b61a4b2b339324f","observation_id":"c41428fa-12f6-4cb5-8b55-c3cd025d520d","resolution":{"observed_at":"2026-08-10T16:33:35.127238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.084655Z","title":"A survey on distribution testing: Y our d ata is big. but is it blue?","venue":null,"work_id":"0aa2c340-7514-43cd-86d8-35ae4e59adeb","year":2020},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.469926Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:7c196c77366fc5552d4e9f5a4ab4e477594db8e22f6991b2a541ba83778acd79","observation_id":"c7210ea0-46dd-4fc3-8cb6-700df30057ea","resolution":{"observed_at":"2026-08-10T16:33:35.090746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.055374Z","title":"Exact goodness-of-ﬁt tests for markov chains,","venue":null,"work_id":"29ca505c-02b2-41ba-ad26-5af3777814e7","year":2013},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.476034Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:da3572d2d5366731fa49823ae1f1202bb5d3ca1ae19b30e3c9b8eff2013329df","observation_id":"6d5d888a-f4e7-434b-b20e-8341479dd679","resolution":{"observed_at":"2026-08-10T16:33:35.063701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.031414Z","title":"Testing for the markov property in t ime series,","venue":null,"work_id":"14280510-ef87-4e6d-9d23-9e41a8f02579","year":2012},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.483079Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:89cb4b2926af5b50f0c892071f4f02c69986aa4c6d96b4895f04c06c4006f246","observation_id":"859e5409-e81f-41b0-a100-f448de0a1b1b","resolution":{"observed_at":"2026-08-10T16:33:35.039915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:35.003092Z","title":"Extension of Wald’s ﬁrst lemma to Ma rkov pro- cesses,","venue":null,"work_id":"6c31b94b-bcff-4a1a-9d17-60c86c42c557","year":1999},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.488952Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:98fb9dd758c3719b7219500b841dfcfca9558427abeb4a16c48455598001407f","observation_id":"667a60e4-1951-40bb-84a9-b71710acdf6c","resolution":{"observed_at":"2026-08-10T16:33:35.014531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:34.979120Z","title":"On Learning Distributions from their Samples,","venue":null,"work_id":"fe61f51a-c3bd-4117-9552-f3a222ee7389","year":2015},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.494676Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:1803118cc9c39e1abface7946460e02d981a3ecf90a391e46d5a37fd04747a74","observation_id":"4821967c-ce6f-4429-a906-aece673c40fe","resolution":{"observed_at":"2026-08-10T16:33:34.986392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:34.953545Z","title":"The performance of unive rsal encod- ing,","venue":null,"work_id":"1b89b8c5-5499-4b4d-887f-5d6fba32f6aa","year":1981},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.500925Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:e675080b6e6430841ccb3f2af3b81e901797628a2161ccf780180ac1b64bc52f","observation_id":"2c3a4f53-5736-439a-b65f-56a7a93645ca","resolution":{"observed_at":"2026-08-10T16:33:34.959290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:34.932077Z","title":"An automatic inequality pro ver and instance optimal identity testing,","venue":null,"work_id":"e6a0c980-fee0-4ff8-94f9-69244148a525","year":2017},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.506233Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:b62f6b51116b1de0bdb25d7ed54104af08c14df5814256a21f430e8886fa631d","observation_id":"f3aa5f2a-c47c-4216-a3b5-a44fcc9bc49e","resolution":{"observed_at":"2026-08-10T16:33:34.939126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:34.908864Z","title":"Bayesian context trees: Modelling and exa ct inference for discrete time series,","venue":null,"work_id":"f77a6ce7-585c-4fe4-9e8d-38d6dd7efed5","year":2022},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.512489Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:eaf550ad8fa63d5260036e41b094c5a37688be8f237b26bb4308d8de128e72b1","observation_id":"2e31d4ec-efcb-45d2-a781-c8e578938d5f","resolution":{"observed_at":"2026-08-10T16:33:34.916370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:34.891581Z","title":"DeepAR: Probabilistic forecasting with autoregressive recurrent networks,","venue":null,"work_id":"7aa0a6e8-d01c-467c-bb2a-7eeb93a6c8d7","year":2020},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.518216Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:9da01915aef2d15682a5bea900defd977c3d515f936bcc66332d96a8b25b9967","observation_id":"fbdb7633-3505-4573-800a-22ad378270c3","resolution":{"observed_at":"2026-08-10T16:33:34.896998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:34.870723Z","title":"A survey of methods fo r time series change point detection,","venue":null,"work_id":"d4ccf68d-8be3-4789-9ceb-f06867873af4","year":2017},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.524650Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:fa25e0de9e77cc5fba52f0d0ef7eaefaf5df887dc7228cdd92b2e8d7fc0b1758","observation_id":"73faced9-2e5a-42c6-afb9-433151cce75a","resolution":{"observed_at":"2026-08-10T16:33:34.876598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04341","last_updated":"2025-01-10T22:45:32Z","snapshot_observed_at":"2026-08-13T16:27:17.944524Z","submitted_at":"2022-03-08T19:03:21Z","title":"Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees","version":3},"cited_work":{"arxiv_id":"2203.04341","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.04341","snapshot_observed_at":"2026-08-10T16:33:34.596796Z","title":"Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees","venue":"stat.ME","work_id":"060e7c21-27cb-42a4-9fb3-4687287262cd","year":2022},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.531697Z"},"links":{"cited_paper":"/paper/2203.04341","citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:ac10d403c60616c3553ae2e3133e681b2c0081e1ab10e5a6b463fa5756cd0fa7","observation_id":"347bcdc2-a726-4b79-8687-881eaa3ee356","resolution":{"observed_at":"2026-08-10T16:33:34.605468Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T16:33:34.847552Z","title":"Asymptotic operating characteristics of a n optimal change point detection in hidden markov models,","venue":null,"work_id":"78ae0840-360a-436e-804e-9d871c5e8831","year":2004},"citing_paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T16:33:34.537839Z"},"links":{"citing_paper":"/paper/2501.13187"},"observation_digest":"sha256:ee44b5fa5b8402c24e79368e0087c6b66927a35805a93f06f7c1a963dd5458bc","observation_id":"646f21db-28da-4d1d-b340-27c8a21b6943","resolution":{"observed_at":"2026-08-10T16:33:34.855046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.13187","last_updated":"2025-01-22T19:35:14Z","latest_version":1,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-10T16:20:30.399221Z","submitted_at":"2025-01-22T19:35:14Z","title":"Sequential One-Sided Hypothesis Testing of Markov Chains"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":2,"verified_fuzzy":18},"total_outbound_references":22},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2501.13187."}