{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/change-point-detection/papers/ran/1","list_of":"/task/change-point-detection","task":"Change Point Detection","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,16],"of":16,"counts":{"archive_papers_tagged":285,"with_a_code_link":97,"where_syntology_ran_a_sample":16,"not_listed_spam_title":0,"listed":285,"listed_where_code_ran":16,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":13,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":13,"listed_every_run_a_failure_of_syntologys_instrument":3,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/change-point-detection/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/streaming-sliced-optimal-transport","slug":"streaming-sliced-optimal-transport","title":"Streaming Sliced Optimal Transport","date":"2025-05-11","arxiv_id":"2505.06835","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":3,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":3,"phrase":"3 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","sample_list":"/paper/streaming-sliced-optimal-transport#ran","syntology_url":"https://syntology.ai/paper/2505.06835","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.06835"}},"official":{"repos":["khainb/StreamSW"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/watch-weighted-adaptive-testing-for","slug":"watch-weighted-adaptive-testing-for","title":"WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales","date":"2025-05-07","arxiv_id":"2505.04608","repositories_listed":1,"syntology":{"n":24,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":21,"n_honours":0,"n_violates":1,"n_no_contract":1,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 21 unverified","sample_list":"/paper/watch-weighted-adaptive-testing-for#ran","syntology_url":"https://syntology.ai/paper/2505.04608","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.04608"}},"official":{"repos":["aaronhan223/wtr"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["found_in_text","official"]}}},{"url":"/paper/segmenting-watermarked-texts-from-language","slug":"segmenting-watermarked-texts-from-language","title":"Segmenting Watermarked Texts From Language Models","date":"2024-10-28","arxiv_id":"2410.20670","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/segmenting-watermarked-texts-from-language#ran","syntology_url":"https://syntology.ai/paper/2410.20670","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.20670"}},"official":{"repos":["doccstat/llm-watermark-cpd"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/the-causal-chambers-real-physical-systems-as","slug":"the-causal-chambers-real-physical-systems-as","title":"The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology","date":"2024-04-17","arxiv_id":"2404.11341","repositories_listed":2,"syntology":{"n":29,"n_ran":20,"n_constructed":0,"n_ran_checked":20,"n_instrument":0,"n_unverified":9,"n_honours":0,"n_violates":1,"n_no_contract":19,"n_pointer_only":5,"phrase":"20 ran (of which 0 constructed an object rather than computing a result; 20 with no instrument failure: 0 honoured, 1 violated, 19 with no contract checked; 0 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/the-causal-chambers-real-physical-systems-as#ran","syntology_url":"https://syntology.ai/paper/2404.11341","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.11341"}},"official":{"repos":["juangamella/causal-chamber-paper"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":6,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/a-computational-topology-based-spatiotemporal","slug":"a-computational-topology-based-spatiotemporal","title":"A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation","date":"2023-07-19","arxiv_id":"2307.09720","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/a-computational-topology-based-spatiotemporal#ran","syntology_url":"https://syntology.ai/paper/2307.09720","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.09720"}},"official":{"repos":["vrd1243/tda_bees"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/fast-and-attributed-change-detection-on","slug":"fast-and-attributed-change-detection-on","title":"Fast and Attributed Change Detection on Dynamic Graphs with Density of States","date":"2023-05-15","arxiv_id":"2305.08750","repositories_listed":2,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":3,"n_instrument":4,"n_unverified":0,"n_honours":3,"n_violates":0,"n_no_contract":0,"n_pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/fast-and-attributed-change-detection-on#ran","syntology_url":"https://syntology.ai/paper/2305.08750","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.08750"}},"official":{"repos":["shenyanghuang/scpd"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/nonparametric-and-online-change-detection-in","slug":"nonparametric-and-online-change-detection-in","title":"Nonparametric and Online Change Detection in Multivariate Datastreams using QuantTree","date":"2022-08-30","arxiv_id":"2208.14801","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/nonparametric-and-online-change-detection-in#ran","syntology_url":"https://syntology.ai/paper/2208.14801","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2208.14801"}},"official":{"repos":["diegocarrera89/quantTree"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/enhancing-environmental-enforcement-with-near","slug":"enhancing-environmental-enforcement-with-near","title":"Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms","date":"2021-05-29","arxiv_id":"2105.14159","repositories_listed":1,"syntology":{"n":5,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/enhancing-environmental-enforcement-with-near#ran","syntology_url":"https://syntology.ai/paper/2105.14159","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2105.14159"}},"official":{"repos":["reglab/building_expansion"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/minimum-delay-adaptation-in-non-stationary","slug":"minimum-delay-adaptation-in-non-stationary","title":"Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection","date":"2021-05-20","arxiv_id":"2105.09452","repositories_listed":1,"syntology":{"n":12,"n_ran":10,"n_constructed":0,"n_ran_checked":7,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":1,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/minimum-delay-adaptation-in-non-stationary#ran","syntology_url":"https://syntology.ai/paper/2105.09452","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2105.09452"}},"official":{"repos":["LucasAlegre/mbcd"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/an-evaluation-of-change-point-detection","slug":"an-evaluation-of-change-point-detection","title":"An Evaluation of Change Point Detection Algorithms","date":"2020-03-13","arxiv_id":"2003.06222","repositories_listed":3,"syntology":{"n":9,"n_ran":7,"n_constructed":0,"n_ran_checked":0,"n_instrument":7,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 7 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/an-evaluation-of-change-point-detection#ran","syntology_url":"https://syntology.ai/paper/2003.06222","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2003.06222"}},"official":{"repos":["alan-turing-institute/AnnotateChange","alan-turing-institute/TCPD","alan-turing-institute/TCPDBench"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/bayesian-online-detection-and-prediction-of","slug":"bayesian-online-detection-and-prediction-of","title":"Bayesian Online Prediction of Change Points","date":"2019-02-12","arxiv_id":"1902.04524","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":2,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/bayesian-online-detection-and-prediction-of#ran","syntology_url":"https://syntology.ai/paper/1902.04524","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1902.04524"}},"official":{"repos":["DiegoAE/BOSD"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/kernel-change-point-detection-with-auxiliary","slug":"kernel-change-point-detection-with-auxiliary","title":"Kernel Change-point Detection with Auxiliary Deep Generative Models","date":"2019-01-18","arxiv_id":"1901.06077","repositories_listed":2,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/kernel-change-point-detection-with-auxiliary#ran","syntology_url":"https://syntology.ai/paper/1901.06077","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1901.06077"}},"official":{"repos":["OctoberChang/klcpd_code"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/change-point-detection-on-hierarchical","slug":"change-point-detection-on-hierarchical","title":"Change-Point Detection on Hierarchical Circadian Models","date":"2018-09-11","arxiv_id":"1809.04197","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/change-point-detection-on-hierarchical#ran","syntology_url":"https://syntology.ai/paper/1809.04197","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1809.04197"}},"official":{"repos":["pmorenoz/HierCPD"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/doubly-robust-bayesian-inference-for-non-1","slug":"doubly-robust-bayesian-inference-for-non-1","title":"Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $β$-Divergences","date":"2018-06-06","arxiv_id":"1806.02261","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/doubly-robust-bayesian-inference-for-non-1#ran","syntology_url":"https://syntology.ai/paper/1806.02261","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1806.02261"}},"official":{"repos":["alan-turing-institute/bocpdms"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/newma-a-new-method-for-scalable-model-free","slug":"newma-a-new-method-for-scalable-model-free","title":"NEWMA: a new method for scalable model-free online change-point detection","date":"2018-05-21","arxiv_id":"1805.08061","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":1,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/newma-a-new-method-for-scalable-model-free#ran","syntology_url":"https://syntology.ai/paper/1805.08061","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.08061"}},"official":{"repos":["lightonai/newma"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/bayesian-online-changepoint-detection","slug":"bayesian-online-changepoint-detection","title":"Bayesian Online Changepoint Detection","date":"2007-10-19","arxiv_id":"0710.3742","repositories_listed":8,"syntology":{"n":17,"n_ran":8,"n_constructed":0,"n_ran_checked":6,"n_instrument":2,"n_unverified":9,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":3,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/bayesian-online-changepoint-detection#ran","syntology_url":"https://syntology.ai/paper/0710.3742","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"0710.3742"}},"official":null}}],"record_sha256":"348133c8d9cfdefa7581027307eeda823f1e4783efe89839bbcc48d567292d5f","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}