{"as_of":"2026-08-07T19:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e41868d6c51cce8e7b04943a7a3c6f4784fb537f9fa6f86a9f02393390eb54da","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T14:55:42.870553Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"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/2607.26481/citation-record","integrity":"/paper/2607.26481/integrity","json":"/paper/2607.26481/citation-record.json","paper":"/paper/2607.26481"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:38.067875Z","title":"Selective review of ofﬂine change point detection methods,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:38.067875Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:737d8978930f577f866f714f4e26175708cf7fbf3198a573bebfde9f0892e98b","observation_id":"3c2ceed5-25aa-4c3c-bdaa-d854c5004c80","resolution":{"observed_at":"2026-08-01T14:55:38.067875Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:38.159543Z","title":"A survey of methods for time series change point detection,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:38.159543Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:6c22b9d86684fec785bc4154e2ece8e619bba051eeac2e41c0af4a2b8eabd2ca","observation_id":"6cfeb9bb-4cf8-400b-abd5-5e5d9428ed30","resolution":{"observed_at":"2026-08-01T14:55:38.159543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.08546","last_updated":"2017-07-03T13:01:07Z","snapshot_observed_at":"2026-07-06T05:28:00.484837Z","submitted_at":"2017-01-30T11:17:14Z","title":"Survey on Models and Techniques for Root-Cause Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.08546","snapshot_observed_at":"2026-08-01T14:55:38.317001Z","title":"Survey on models and techniques for root-cause analysis,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:38.317001Z"},"links":{"cited_paper":"/paper/1701.08546","citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:2612ba4d9511d6473a53fa1bb5d64e4a5990a4104c1e90a1db34e55b34d7b2f5","observation_id":"b31d372c-7ce5-466b-a629-b2afe1aaea58","resolution":{"observed_at":"2026-08-01T14:55:38.317001Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:38.448747Z","title":"Anomaly detection and failure r oot cause analysis in (micro)service-based cloud applicat ions: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:38.448747Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:055f2e8c7e8248c0a9910dc12949d474074770c8275854ed5c3aa59fd4f2ab58","observation_id":"f87a87ab-e690-41f2-add2-ceaf9161d0bd","resolution":{"observed_at":"2026-08-01T14:55:38.448747Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:38.589716Z","title":"Detection and localizati on of change-points in high-dimensional network trafﬁc dat a,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:38.589716Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:8f195621946a66ef715b4a2a45b005bedc2355951f651aa4c91d1819bdbf080a","observation_id":"00805575-c600-4e67-93ec-96c74f810704","resolution":{"observed_at":"2026-08-01T14:55:38.589716Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:38.737506Z","title":"Understanding O-RAN: Architecture, interfaces, algori thms, security, and research challenges,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:38.737506Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:a06fe980f0dd99dbf89f485ada1b0012f9a8cb2525ab23986a0439591dbd0fac","observation_id":"8f0ca2bd-7dee-4b23-baa2-661fdd71df5e","resolution":{"observed_at":"2026-08-01T14:55:38.737506Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:38.902865Z","title":"Conformal calibrat ion: Ensuring the reliability of black-box AI in wireless sy stems,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:38.902865Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:b586f1ca947bde7c083846570af65a5f82d5dcfd94a4ea3d6e5106406e374211","observation_id":"c144b7ae-fa7d-4bae-9f89-685be872476f","resolution":{"observed_at":"2026-08-01T14:55:38.902865Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:39.046724Z","title":"A novel approach to detection of intrusions in computer networks via adaptive sequential and batch-sequential change-point de tection methods,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.046724Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:2bd01b1aaebf221ed666682700fbb7878062a0b055f47879f9bb1460cdb23f4e","observation_id":"9fdc65a8-7f27-42e0-876a-ff2ff1cf48f6","resolution":{"observed_at":"2026-08-01T14:55:39.046724Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:39.219011Z","title":"On fault detection and diag nosis in robotic systems,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.219011Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:ce4e3db19ac87bf5c222f3fcf19cbf9d45ab91ce727c0490c355048f5286d481","observation_id":"994cd2b9-c1d3-4380-aaa5-284074002144","resolution":{"observed_at":"2026-08-01T14:55:39.219011Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:39.354767Z","title":"Nonparametric d etection of anomalous data streams,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.354767Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:1969f565af58572c4473a7a1e3d09d6f7c6c8aba95cc91c61ac2a07ebe9ee028","observation_id":"1d46056b-758e-42e4-a418-7059fed3a533","resolution":{"observed_at":"2026-08-01T14:55:39.354767Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:39.518768Z","title":"Asymptotically optimal anomaly d etection via sequential testing,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.518768Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:abc501d0e0caaa14e02146b86d91213a540f3a1f1cea1471383c6da1c3f9b079","observation_id":"0135a0b9-14c0-404c-b182-de251b6f1229","resolution":{"observed_at":"2026-08-01T14:55:39.518768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.02561","last_updated":"2025-02-04T18:37:10Z","snapshot_observed_at":"2026-07-06T20:31:08.252721Z","submitted_at":"2025-02-04T18:37:10Z","title":"Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.02561","snapshot_observed_at":"2026-08-01T14:55:39.648061Z","title":"Decision theoretic foundations for conformal prediction: Optimal u ncertainty quantiﬁcation for risk-averse agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.648061Z"},"links":{"cited_paper":"/paper/2502.02561","citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:6b625a033708a3e4cfe23928f937c2222658c442cfa5d5280decf643244193bb","observation_id":"fced17fc-9788-44ee-9241-5eaa4dd62048","resolution":{"observed_at":"2026-08-01T14:55:39.648061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.06267","last_updated":"2026-07-27T21:05:42Z","snapshot_observed_at":"2026-08-07T12:35:47.185022Z","submitted_at":"2026-02-05T23:50:53Z","title":"Conformal changepoint localization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.06267","snapshot_observed_at":"2026-08-01T14:55:39.754912Z","title":"Conformal changepoint localiza tion,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.754912Z"},"links":{"cited_paper":"/paper/2602.06267","citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:2abe50d91e11c3f12329e5f3a40c9a0a99fb69bf04526b0c5fc1aae5579deb5d","observation_id":"9d0f5ae5-2514-48e1-9ce1-e72378fed7f2","resolution":{"observed_at":"2026-08-01T14:55:39.754912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.21627","last_updated":"2026-05-20T18:40:04Z","snapshot_observed_at":"2026-08-05T11:24:56.137741Z","submitted_at":"2026-05-20T18:40:04Z","title":"Distribution-free root cause analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.21627","snapshot_observed_at":"2026-08-01T14:55:39.879961Z","title":"Distribution-free root cause analysis,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.879961Z"},"links":{"cited_paper":"/paper/2605.21627","citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:75a6f3c5a1191b407765e0e98ae6ab6b73293a941b0408e22f43ea40a550d457","observation_id":"2f13c2c5-2825-42b1-b9c0-96a3d70daf79","resolution":{"observed_at":"2026-08-01T14:55:39.879961Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:39.994386Z","title":"A test for a change in a parameter occurring a t an unknown point,","venue":null,"work_id":null,"year":1955},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:39.994386Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:1c6d879ff7d55ed1cda9ea48f5ac4fa286813b0d819c0c1bedc566adeb1b345c","observation_id":"35477ee2-29c9-47ff-aa7c-42bd63318d73","resolution":{"observed_at":"2026-08-01T14:55:39.994386Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.112680Z","title":"The likelihood ratio test fo r a change-point in simple linear regression,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.112680Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:834654bab1d367a5948372a477dcee0ad5796708db20e0167abb27b3c0cc6444","observation_id":"8050f6ae-ff12-492b-bfb7-a98dc880fab5","resolution":{"observed_at":"2026-08-01T14:55:40.112680Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.244698Z","title":"A non-parametric approach to the change -point problem,","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.244698Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:9e1a881be0734120f58917d9b35f7142595c553a9060bdc454d559a7bed54571","observation_id":"e46052a1-3a6b-46e6-9675-4de666682834","resolution":{"observed_at":"2026-08-01T14:55:40.244698Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.360942Z","title":"Practical and powerful kernel-bas ed change-point detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.360942Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:914a81411162e356d3e41f96fa5176774d8b168ec3b6823716211e207779b77e","observation_id":"a2504efc-805a-457f-9cae-cbe918e2776e","resolution":{"observed_at":"2026-08-01T14:55:40.360942Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.502175Z","title":"A log-linear nonparametric online changepoint detection algorithm bas ed on functional pruning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.502175Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:53b91758067a72f4a117182b6a26adcaf2e83048f0e76b13cace30277b0a6e47","observation_id":"fab7ebb5-11db-438a-a938-4a6b499d01df","resolution":{"observed_at":"2026-08-01T14:55:40.502175Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.650419Z","title":"Adversarially robust change point dete ction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.650419Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:e840e6bf3c6268d927260b78226283832f2c0676829b935722434aa46261885a","observation_id":"a3aed49c-8cf7-4e9c-8341-6d01a3ba4524","resolution":{"observed_at":"2026-08-01T14:55:40.650419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.09737","last_updated":"2026-06-08T17:01:15Z","snapshot_observed_at":"2026-08-05T10:11:01.139215Z","submitted_at":"2026-06-08T17:01:15Z","title":"Online change point detection under heavy-tailedness and contamination","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.09737","snapshot_observed_at":"2026-08-01T14:55:40.746091Z","title":"Online change poi nt detection under heavy-tailedness and contamination,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.746091Z"},"links":{"cited_paper":"/paper/2606.09737","citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:34a01789b152d2cf0a8067a187b2005b8e6adacfd31b52edf50a6b9b64284988","observation_id":"6205f702-1f6f-47d9-ae36-545760f383b6","resolution":{"observed_at":"2026-08-01T14:55:40.746091Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.791302Z","title":"Root cause analysis for microservice systems via hierarchical reinforcement learning from huma n feedback,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.791302Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:3001f8dbf9042c28547b3e8f59efb5bb2e1bb8a66b7126ac6dd9ec5b25989581","observation_id":"dd1835ad-98b1-4099-8279-212064c88ed4","resolution":{"observed_at":"2026-08-01T14:55:40.791302Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.861090Z","title":"Machine-learn ing applications of algorithmic randomness,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.861090Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:c3815e72ed61f9571064de8fe6baf616a4c55a090936a6e2c95083983e25c570","observation_id":"162c521a-7e3e-4849-9082-6c18eb8a2dfd","resolution":{"observed_at":"2026-08-01T14:55:40.861090Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.918740Z","title":"A tutorial on conformal predicti on,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.918740Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:4b8995757029fafaeaaa88c66fbb7169a8b40bac326a761d7573623e14aedffe","observation_id":"8cc6eeba-752a-4930-8c62-58124725a650","resolution":{"observed_at":"2026-08-01T14:55:40.918740Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:40.954801Z","title":"Conformalized quantile regression,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:40.954801Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:a2097a4db6fe17e9ff943601ae14006ffe7e9e4ce00ac40835e9a67145dd0acd","observation_id":"18180c2e-3dac-44de-8256-aa1a3e50e1ee","resolution":{"observed_at":"2026-08-01T14:55:40.954801Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.028295Z","title":"Conformal prediction under covariate shift,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.028295Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:a8deab4d4ccf5bd34f6fb7d62996e0fe36d3395abb02528b5bb3e1b1d6a46e05","observation_id":"0db3d93b-b27f-4176-961e-38c93a7b1044","resolution":{"observed_at":"2026-08-01T14:55:41.028295Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.089472Z","title":"Ca librating wireless ai via meta-learned context-dependent conformal prediction,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.089472Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:6f440496866f03e0e757b7075b4e97991d4e7c08b8c10bf7085a7890eca9f541","observation_id":"5566e79f-c538-4af8-8505-ec0b9faaf717","resolution":{"observed_at":"2026-08-01T14:55:41.089472Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.150468Z","title":"Conformal prediction beyond exchangeability,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.150468Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:e5b30e5d77bafdf6a5f26350d05b09eeb5308dd44a76cfd5962d38118e78f54b","observation_id":"05bb8d2b-febe-4a5e-927d-482e5f4a851a","resolution":{"observed_at":"2026-08-01T14:55:41.150468Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.210354Z","title":"Adaptive conformal inferen ce under distribution shift,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.210354Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:a520c5c169cc6bedfd6baa9c97615c077c59e1abc7734386f0c38dc113a776c8","observation_id":"4def7357-de6b-4d8d-9cca-59df491be67f","resolution":{"observed_at":"2026-08-01T14:55:41.210354Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.263925Z","title":"Localized adaptive risk con trol,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.263925Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:b8a20768d208428d28b46d11f060b98fcfa927ac817a658e4693a1d7bca7af47","observation_id":"f5a55c25-7c9b-48ac-8284-bb0cf808355c","resolution":{"observed_at":"2026-08-01T14:55:41.263925Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.319386Z","title":"Testing randomness online,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.319386Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:d0918253287d1c3b586413124ee50bc9a39080541db28d4a238c8b9dd1ce12c5","observation_id":"e82bf1c9-1c45-4383-b445-a9e074b88a31","resolution":{"observed_at":"2026-08-01T14:55:41.319386Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.382916Z","title":"Robust estimation of a location parameter ,","venue":null,"work_id":null,"year":1964},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.382916Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:277af4087c02cc63eb5db25a9b2bcc945b64ab598237a57de9fdb8f4e779ed46","observation_id":"b17cee42-4e0e-469b-8e8f-33d59213b8ae","resolution":{"observed_at":"2026-08-01T14:55:41.382916Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.434861Z","title":null,"venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.434861Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:4489fbc7dc8ed1b4d539484dc66269f6610a95e19978f403c7ddd175b4e7e684","observation_id":"23a712de-042f-40a2-94f5-2781835bf862","resolution":{"observed_at":"2026-08-01T14:55:41.434861Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.500229Z","title":"Certiﬁed de fenses for data poisoning attacks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.500229Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:4edc9468fd346a6a97b18dd4aff8d64086f86b6e5f99809c18c82e9db308b67c","observation_id":"e62758c3-d420-49e0-8022-21e4740f22cc","resolution":{"observed_at":"2026-08-01T14:55:41.500229Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.556702Z","title":"Evidential deep learning to quantify classiﬁcation uncertainty,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.556702Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:6f5bef5df693c7b21b512045621bddfe5e511210d208f6934882d0113104f59a","observation_id":"b5481e70-0d3b-4a29-bd28-482aaca4dd48","resolution":{"observed_at":"2026-08-01T14:55:41.556702Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.606336Z","title":"Dropout as a bayesian approxi mation: Representing model uncertainty in deep learning,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.606336Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:2fb7fb94f13ce2a8af4621c3fcab25abdc92063ea328e5e69aaa58e78ac2bb72","observation_id":"220f8a3c-dce0-4c13-aa32-00a73fb43084","resolution":{"observed_at":"2026-08-01T14:55:41.606336Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.665895Z","title":"Sim ple and scalable predictive uncertainty estimation using d eep ensembles,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.665895Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:e379922c26806897202f957722e120497713c5f15eea523a5f70d794e9d43db9","observation_id":"1b0328df-bbd6-43a6-9148-f851af56ad7b","resolution":{"observed_at":"2026-08-01T14:55:41.665895Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.705029Z","title":"Calibrating Bayesia n learning via regularization, conﬁdence minimization, an d selective inference,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.705029Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:fc60942ad246c16e8d6e9cd85f172f371c53e5363697380843fe7f38484fe52c","observation_id":"e709c8fc-7a9f-41db-9fd5-566a34fa93fe","resolution":{"observed_at":"2026-08-01T14:55:41.705029Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.779679Z","title":"Simeone, Machine learning for engineers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.779679Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:89cc6b22863e57316563e2d433d7af5526c47a9737b7d3eec9d47c60d5e134e5","observation_id":"b3edc5bf-bb77-4487-9493-1cf522a2dea6","resolution":{"observed_at":"2026-08-01T14:55:41.779679Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.831546Z","title":"Model-agnostic meta -learning for fast adaptation of deep networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.831546Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:14f33f68690adc3a32149495b9ce2cd5c0d1c8e5d55696927d9d8446a5f5d175","observation_id":"fc244b6d-55cb-49f5-915a-b139c449c7b9","resolution":{"observed_at":"2026-08-01T14:55:41.831546Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:41.884338Z","title":"Learning with limited samples: Meta-learning an d applications to communication systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.884338Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:c9098055ba161c3c933ae0d70d06a2cde11dc00db74841970d506048fd5942d6","observation_id":"ea50b070-116a-44e2-9746-59606c97b7d7","resolution":{"observed_at":"2026-08-01T14:55:41.884338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-07-06T11:59:01.339042Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-01T14:55:41.945104Z","title":"Learning optimal conformal classiﬁers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.945104Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:106496e97cb67720e59d4c2b5b14f6f883cc3b051d5b6322ffb34c1041527cb8","observation_id":"8d0ac397-0ba0-4f1e-9be7-d3dfa72211b7","resolution":{"observed_at":"2026-08-01T14:55:41.945104Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.020909Z","title":"Few-shot calibrat ion of set predictors via meta-learned cross-validation-b ased conformal prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.020909Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:5f932205f3739ced574203a5e45621a57dc7e4e59c668f77d398a546b37a78b3","observation_id":"3629755c-9cf4-41c0-aa9e-4bdae7799227","resolution":{"observed_at":"2026-08-01T14:55:42.020909Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.099271Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.099271Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:cac46f56679573bb7bad5c95e00ad82ac26de0e245df13693e72aabfa6d6bad4","observation_id":"7198fc1f-c2e3-49a2-913b-ef5e21841edc","resolution":{"observed_at":"2026-08-01T14:55:42.099271Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.148532Z","title":"Ofﬂine changepoint lo calization using a matrix of conformal p-values,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.148532Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:c1c8d092a142f2aa1d299c46bfd66ba46e3cd88a18e19b8aacdfe825b4b95727","observation_id":"6262a820-738c-4432-bfa6-47fbbdbb08f6","resolution":{"observed_at":"2026-08-01T14:55:42.148532Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.211490Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.211490Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:2d45ffef90a0771e0ff7dbebac31322c619a7f4b142a0698443e5ee00f4a14b3","observation_id":"5effbbfe-ac96-45c8-9e5a-e9d44c2b91b4","resolution":{"observed_at":"2026-08-01T14:55:42.211490Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.263650Z","title":"Predictive uncertainty estim ation via prior networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.263650Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:bed55ec4121930984495a6e21a1da21a9523b49d306969c9b6ba640eaecf87d2","observation_id":"9273e3b7-a5c0-4578-ad00-7c672c81fc80","resolution":{"observed_at":"2026-08-01T14:55:42.263650Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.323633Z","title":"False disc overy control with p-value weighting,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.323633Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:5f499caec55460ffdbdd3ac737428bf560405fb122f533f212792ca6632e3272","observation_id":"42c1edd4-bce3-48ab-97a7-cdd8b109694b","resolution":{"observed_at":"2026-08-01T14:55:42.323633Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.409454Z","title":"A multi-source dataset of urban life in the city of Milan and th e province of Trentino,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.409454Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:cff70e0a8654f3302f798bf2706ad7b40fa9003e61fa95f6b262a5e8ee0e2e44","observation_id":"d4c6851a-c755-42b4-baac-a376e0fe4e5a","resolution":{"observed_at":"2026-08-01T14:55:42.409454Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.478060Z","title":"Gen eralization and informativeness of conformal prediction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.478060Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:f4667a5bf92642ce90e0c36cd2a89f2be15929facf86c2234870d4a51f897c49","observation_id":"7b04a720-b87b-497c-a732-45c67b239658","resolution":{"observed_at":"2026-08-01T14:55:42.478060Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.545469Z","title":"Moment matching for multi-source domain adaptation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.545469Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:b2f3e0255ba11cee568397873755de110763cba2cf773f35e96a4605da58bd7b","observation_id":"19060926-fe80-4f5d-9532-54880a82e683","resolution":{"observed_at":"2026-08-01T14:55:42.545469Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.637105Z","title":"Learning multiple layers of features f rom tiny images,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.637105Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:453e9892727c2c2f1d6967fd817bcf50f9b8d9306852a30ff5648b04e33397cc","observation_id":"e2f7e3be-2c7c-47e0-bbdc-0a7f346831cc","resolution":{"observed_at":"2026-08-01T14:55:42.637105Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.708002Z","title":"Deep residual learni ng for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.708002Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:4860f1678c7e6a4cef1ea5c5aadc2c62ca3995949c39a7548375891a1360b39d","observation_id":"21a427fa-f046-4f3e-90ba-2fc3028c1ef8","resolution":{"observed_at":"2026-08-01T14:55:42.708002Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.777143Z","title":"Uncer tainty estimation using a single deep deterministic neural network,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.777143Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:d8bcedcbedbc49f7520095792a07fc86166435829a92228a744284b96273d99f","observation_id":"071b28ca-b122-4e12-a65a-b2a5c1240173","resolution":{"observed_at":"2026-08-01T14:55:42.777143Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:55:42.870553Z","title":"The mnist database of handwritten digit image s for machine learning research [best of the web],","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:42.870553Z"},"links":{"citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:e3e6be2a8c5c7aca99307c18fa710ebe838b105497b8c65dd4535cca6364130e","observation_id":"ab3b2d65-226a-4ee7-8d7e-2f250910a134","resolution":{"observed_at":"2026-08-01T14:55:42.870553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T06:37:06.749911Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":55,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":55},"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 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.26481."}