{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:TBMPDFAAIY5MUA3WMZXUJONTHW","short_pith_number":"pith:TBMPDFAA","canonical_record":{"source":{"id":"2202.04000","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-08T17:11:40Z","cross_cats_sorted":[],"title_canon_sha256":"32ce6442290b65129add78b6c49aa558ac1dc89ef9e0d2ef17c3d9a49fd43f93","abstract_canon_sha256":"9fd91925b9098f5e0d0e7386e63047683f60435f4b5102084d3e72954e57f9d9"},"schema_version":"1.0"},"canonical_sha256":"9858f19400463aca0376666f44b9b33d8ce093b1989a93e86ab394d32d2ea9f3","source":{"kind":"arxiv","id":"2202.04000","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.04000","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"arxiv_version","alias_value":"2202.04000v3","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.04000","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"pith_short_12","alias_value":"TBMPDFAAIY5M","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"pith_short_16","alias_value":"TBMPDFAAIY5MUA3W","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"pith_short_8","alias_value":"TBMPDFAA","created_at":"2026-07-05T03:55:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:TBMPDFAAIY5MUA3WMZXUJONTHW","target":"record","payload":{"canonical_record":{"source":{"id":"2202.04000","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-08T17:11:40Z","cross_cats_sorted":[],"title_canon_sha256":"32ce6442290b65129add78b6c49aa558ac1dc89ef9e0d2ef17c3d9a49fd43f93","abstract_canon_sha256":"9fd91925b9098f5e0d0e7386e63047683f60435f4b5102084d3e72954e57f9d9"},"schema_version":"1.0"},"canonical_sha256":"9858f19400463aca0376666f44b9b33d8ce093b1989a93e86ab394d32d2ea9f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:55:52.758774Z","signature_b64":"qt2z7CHdbaVc1hLgjHrbsaGgTmkel+tRN40xq2XIvsEC1zPw3HaQWXxubhbeue3B+RwiLRNn8Q9P21/e3PJWCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9858f19400463aca0376666f44b9b33d8ce093b1989a93e86ab394d32d2ea9f3","last_reissued_at":"2026-07-05T03:55:52.758179Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:55:52.758179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.04000","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:55:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rMS6YhHJ4fCVA7K6WQNX1W3s/hYyw/WksyWpvWUcq8qABJL0HuFpPpp17OJ4BLrL199InhnXGtpRimHtZp+3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:23:55.396404Z"},"content_sha256":"5f83b3720c4eae3b9d172336c0db4af06c315b2c0541c3cf56e31d41e1376ee9","schema_version":"1.0","event_id":"sha256:5f83b3720c4eae3b9d172336c0db4af06c315b2c0541c3cf56e31d41e1376ee9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:TBMPDFAAIY5MUA3WMZXUJONTHW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Sinkhorn divergences for supervised change point detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Eva L. Dyer, Keith B. Hengen, Mark A. Davenport, Nauman Ahad, Yao Xie","submitted_at":"2022-02-08T17:11:40Z","abstract_excerpt":"Many modern applications require detecting change points in complex sequential data. Most existing methods for change point detection are unsupervised and, as a consequence, lack any information regarding what kind of changes we want to detect or if some kinds of changes are safe to ignore. This often results in poor change detection performance. We present a novel change point detection framework that uses true change point instances as supervision for learning a ground metric such that Sinkhorn divergences can be then used in two-sample tests on sliding windows to detect change points in an "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.04000","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.04000/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:55:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3J/YzS07b9v7RtO4+dYtSAbjUu5vxa1nHthnqk3W3Ul8vDZGN2WRH5r0YCog8O52M2UKJWAqVVPQmjwTaeIfAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:23:55.397011Z"},"content_sha256":"20b1790add2bb6b260e5ac720b69c7cd6d1a8ddf5dfbc74a10e933a2d4622b3f","schema_version":"1.0","event_id":"sha256:20b1790add2bb6b260e5ac720b69c7cd6d1a8ddf5dfbc74a10e933a2d4622b3f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TBMPDFAAIY5MUA3WMZXUJONTHW/bundle.json","state_url":"https://pith.science/pith/TBMPDFAAIY5MUA3WMZXUJONTHW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TBMPDFAAIY5MUA3WMZXUJONTHW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T16:23:55Z","links":{"resolver":"https://pith.science/pith/TBMPDFAAIY5MUA3WMZXUJONTHW","bundle":"https://pith.science/pith/TBMPDFAAIY5MUA3WMZXUJONTHW/bundle.json","state":"https://pith.science/pith/TBMPDFAAIY5MUA3WMZXUJONTHW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TBMPDFAAIY5MUA3WMZXUJONTHW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TBMPDFAAIY5MUA3WMZXUJONTHW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9fd91925b9098f5e0d0e7386e63047683f60435f4b5102084d3e72954e57f9d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-08T17:11:40Z","title_canon_sha256":"32ce6442290b65129add78b6c49aa558ac1dc89ef9e0d2ef17c3d9a49fd43f93"},"schema_version":"1.0","source":{"id":"2202.04000","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.04000","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"arxiv_version","alias_value":"2202.04000v3","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.04000","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"pith_short_12","alias_value":"TBMPDFAAIY5M","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"pith_short_16","alias_value":"TBMPDFAAIY5MUA3W","created_at":"2026-07-05T03:55:52Z"},{"alias_kind":"pith_short_8","alias_value":"TBMPDFAA","created_at":"2026-07-05T03:55:52Z"}],"graph_snapshots":[{"event_id":"sha256:20b1790add2bb6b260e5ac720b69c7cd6d1a8ddf5dfbc74a10e933a2d4622b3f","target":"graph","created_at":"2026-07-05T03:55:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2202.04000/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many modern applications require detecting change points in complex sequential data. Most existing methods for change point detection are unsupervised and, as a consequence, lack any information regarding what kind of changes we want to detect or if some kinds of changes are safe to ignore. This often results in poor change detection performance. We present a novel change point detection framework that uses true change point instances as supervision for learning a ground metric such that Sinkhorn divergences can be then used in two-sample tests on sliding windows to detect change points in an ","authors_text":"Eva L. Dyer, Keith B. Hengen, Mark A. Davenport, Nauman Ahad, Yao Xie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-08T17:11:40Z","title":"Learning Sinkhorn divergences for supervised change point detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.04000","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:5f83b3720c4eae3b9d172336c0db4af06c315b2c0541c3cf56e31d41e1376ee9","target":"record","created_at":"2026-07-05T03:55:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9fd91925b9098f5e0d0e7386e63047683f60435f4b5102084d3e72954e57f9d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-08T17:11:40Z","title_canon_sha256":"32ce6442290b65129add78b6c49aa558ac1dc89ef9e0d2ef17c3d9a49fd43f93"},"schema_version":"1.0","source":{"id":"2202.04000","kind":"arxiv","version":3}},"canonical_sha256":"9858f19400463aca0376666f44b9b33d8ce093b1989a93e86ab394d32d2ea9f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9858f19400463aca0376666f44b9b33d8ce093b1989a93e86ab394d32d2ea9f3","first_computed_at":"2026-07-05T03:55:52.758179Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:55:52.758179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qt2z7CHdbaVc1hLgjHrbsaGgTmkel+tRN40xq2XIvsEC1zPw3HaQWXxubhbeue3B+RwiLRNn8Q9P21/e3PJWCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:55:52.758774Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.04000","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f83b3720c4eae3b9d172336c0db4af06c315b2c0541c3cf56e31d41e1376ee9","sha256:20b1790add2bb6b260e5ac720b69c7cd6d1a8ddf5dfbc74a10e933a2d4622b3f"],"state_sha256":"d48352cb59fb73eca9fcc6414e6310ab3bd7100029b6a7ae5150c79a39a5ce40"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"agh6mOedf+fbYqRWHecePutVb0WFVIpV+MotOqVjCvtHwcY+mxt7vpj1Z5YAj+tZ1pipYTkDbZPXhLo+/w2ABg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T16:23:55.402212Z","bundle_sha256":"936d12ad0fe577bdcec14919620defdc92b5cce09aa98120526b049c9d3f145e"}}