{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QXMKQVDVJUIMPHLQCA3A5HOPDJ","short_pith_number":"pith:QXMKQVDV","canonical_record":{"source":{"id":"2602.11406","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-02-11T22:16:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0e49a832e1462096228d627c67055f229d9cd225c0549c70c8c2f1f79ed83f44","abstract_canon_sha256":"fa03b088fec62e9aeb546967445365f55ba5bc808f15cba6a809ebd54ad43160"},"schema_version":"1.0"},"canonical_sha256":"85d8a854754d10c79d7010360e9dcf1a7c3d5ab0be19bb228aaa72756c7ec26f","source":{"kind":"arxiv","id":"2602.11406","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.11406","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"arxiv_version","alias_value":"2602.11406v2","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.11406","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"pith_short_12","alias_value":"QXMKQVDVJUIM","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"pith_short_16","alias_value":"QXMKQVDVJUIMPHLQ","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"pith_short_8","alias_value":"QXMKQVDV","created_at":"2026-06-04T01:09:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QXMKQVDVJUIMPHLQCA3A5HOPDJ","target":"record","payload":{"canonical_record":{"source":{"id":"2602.11406","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-02-11T22:16:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0e49a832e1462096228d627c67055f229d9cd225c0549c70c8c2f1f79ed83f44","abstract_canon_sha256":"fa03b088fec62e9aeb546967445365f55ba5bc808f15cba6a809ebd54ad43160"},"schema_version":"1.0"},"canonical_sha256":"85d8a854754d10c79d7010360e9dcf1a7c3d5ab0be19bb228aaa72756c7ec26f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:47.265283Z","signature_b64":"L++rUt92BgxXnFERCav1653Y1wTrR/NUi2jCoRXEWFpJiw31oYIYmsR8q9fXjPvFa9s5K7XdRtyx8kX4iqP3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85d8a854754d10c79d7010360e9dcf1a7c3d5ab0be19bb228aaa72756c7ec26f","last_reissued_at":"2026-06-04T01:09:47.264362Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:47.264362Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.11406","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-04T01:09:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P4VPNcH5oZRRItBUel4qlHdTSUrJOZniW89ryE/gZ+87Xo51lXHqVyCJzTfX3d9CqCUFi7M4FYPMDwaPdAupBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:17:12.460277Z"},"content_sha256":"46407d8de2ac4e85a41e70a14b54764dabad1d7320b974cc303a1ef42b25d939","schema_version":"1.0","event_id":"sha256:46407d8de2ac4e85a41e70a14b54764dabad1d7320b974cc303a1ef42b25d939"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QXMKQVDVJUIMPHLQCA3A5HOPDJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Cost of Learning Under Multiple Change Points","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Assaf Zeevi, Garud Iyengar, Tomer Gafni","submitted_at":"2026-02-11T22:16:20Z","abstract_excerpt":"We consider an online learning problem in environments with multiple change points. In contrast to the single change point problem that is widely studied using classical \"high confidence\" detection schemes, the multiple change point environment presents new learning-theoretic and algorithmic challenges. Specifically, we show that classical methods may exhibit catastrophic failure (high regret) due to a phenomenon we refer to as endogenous confounding. To overcome this, we propose a new class of learning algorithms dubbed Anytime Tracking CUSUM (ATC). These are horizon-free online algorithms th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.11406","kind":"arxiv","version":2},"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/2602.11406/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":"2026-06-04T01:09:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hp2NqWTDTLPAqiRSLgpJc1j2eZX5w6XYjR4FzAJzfuSg3aTAqZBJrXixhq44UxqCCosPnriHLulWs75jW1mWDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:17:12.460685Z"},"content_sha256":"37fe06a552e7a71e8062ce98f1d874b630a6ffcc4fb5b21b21d2aec60a711cf2","schema_version":"1.0","event_id":"sha256:37fe06a552e7a71e8062ce98f1d874b630a6ffcc4fb5b21b21d2aec60a711cf2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QXMKQVDVJUIMPHLQCA3A5HOPDJ/bundle.json","state_url":"https://pith.science/pith/QXMKQVDVJUIMPHLQCA3A5HOPDJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QXMKQVDVJUIMPHLQCA3A5HOPDJ/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":"2026-06-06T20:17:12Z","links":{"resolver":"https://pith.science/pith/QXMKQVDVJUIMPHLQCA3A5HOPDJ","bundle":"https://pith.science/pith/QXMKQVDVJUIMPHLQCA3A5HOPDJ/bundle.json","state":"https://pith.science/pith/QXMKQVDVJUIMPHLQCA3A5HOPDJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QXMKQVDVJUIMPHLQCA3A5HOPDJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QXMKQVDVJUIMPHLQCA3A5HOPDJ","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":"fa03b088fec62e9aeb546967445365f55ba5bc808f15cba6a809ebd54ad43160","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-02-11T22:16:20Z","title_canon_sha256":"0e49a832e1462096228d627c67055f229d9cd225c0549c70c8c2f1f79ed83f44"},"schema_version":"1.0","source":{"id":"2602.11406","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.11406","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"arxiv_version","alias_value":"2602.11406v2","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.11406","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"pith_short_12","alias_value":"QXMKQVDVJUIM","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"pith_short_16","alias_value":"QXMKQVDVJUIMPHLQ","created_at":"2026-06-04T01:09:47Z"},{"alias_kind":"pith_short_8","alias_value":"QXMKQVDV","created_at":"2026-06-04T01:09:47Z"}],"graph_snapshots":[{"event_id":"sha256:37fe06a552e7a71e8062ce98f1d874b630a6ffcc4fb5b21b21d2aec60a711cf2","target":"graph","created_at":"2026-06-04T01:09:47Z","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/2602.11406/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider an online learning problem in environments with multiple change points. In contrast to the single change point problem that is widely studied using classical \"high confidence\" detection schemes, the multiple change point environment presents new learning-theoretic and algorithmic challenges. Specifically, we show that classical methods may exhibit catastrophic failure (high regret) due to a phenomenon we refer to as endogenous confounding. To overcome this, we propose a new class of learning algorithms dubbed Anytime Tracking CUSUM (ATC). These are horizon-free online algorithms th","authors_text":"Assaf Zeevi, Garud Iyengar, Tomer Gafni","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-02-11T22:16:20Z","title":"The Cost of Learning Under Multiple Change Points"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.11406","kind":"arxiv","version":2},"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":"sha256:46407d8de2ac4e85a41e70a14b54764dabad1d7320b974cc303a1ef42b25d939","target":"record","created_at":"2026-06-04T01:09:47Z","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":"fa03b088fec62e9aeb546967445365f55ba5bc808f15cba6a809ebd54ad43160","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-02-11T22:16:20Z","title_canon_sha256":"0e49a832e1462096228d627c67055f229d9cd225c0549c70c8c2f1f79ed83f44"},"schema_version":"1.0","source":{"id":"2602.11406","kind":"arxiv","version":2}},"canonical_sha256":"85d8a854754d10c79d7010360e9dcf1a7c3d5ab0be19bb228aaa72756c7ec26f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85d8a854754d10c79d7010360e9dcf1a7c3d5ab0be19bb228aaa72756c7ec26f","first_computed_at":"2026-06-04T01:09:47.264362Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:47.264362Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L++rUt92BgxXnFERCav1653Y1wTrR/NUi2jCoRXEWFpJiw31oYIYmsR8q9fXjPvFa9s5K7XdRtyx8kX4iqP3AA==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:47.265283Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.11406","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46407d8de2ac4e85a41e70a14b54764dabad1d7320b974cc303a1ef42b25d939","sha256:37fe06a552e7a71e8062ce98f1d874b630a6ffcc4fb5b21b21d2aec60a711cf2"],"state_sha256":"1394a5f0903cac928e4ebdf3dbd26cb531eb7034e6250086824c41899903da3f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TLfo/0JgpBoZxCKO1y3lbn7/vozRAZfoXSM6Hi5923a8EqaA8YCEi6slPM+2JLGk01ZgQcU+BZJ4NtLsZxFlBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T20:17:12.463379Z","bundle_sha256":"08223a3c7e83ed1eae7f8ca9d0f21f5dc11219231d47bff0e3841f2f24f10c8d"}}