{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:MM54GQC3E6ZPNATYAETO2V7NBR","short_pith_number":"pith:MM54GQC3","canonical_record":{"source":{"id":"2207.02121","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-05T15:43:14Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"333ba6046fc6b28fbe864d184f03faf3ee035b494837449883ca16f81b4c1775","abstract_canon_sha256":"5a9474bb8cece923d63ce060bcd643e9ab6d8a12850e16fe07075bf93c2acabc"},"schema_version":"1.0"},"canonical_sha256":"633bc3405b27b2f682780126ed57ed0c7e17a22ce63b96721e4d2f405f56261a","source":{"kind":"arxiv","id":"2207.02121","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.02121","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"arxiv_version","alias_value":"2207.02121v3","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.02121","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"pith_short_12","alias_value":"MM54GQC3E6ZP","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"pith_short_16","alias_value":"MM54GQC3E6ZPNATY","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"pith_short_8","alias_value":"MM54GQC3","created_at":"2026-07-05T05:33:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:MM54GQC3E6ZPNATYAETO2V7NBR","target":"record","payload":{"canonical_record":{"source":{"id":"2207.02121","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-05T15:43:14Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"333ba6046fc6b28fbe864d184f03faf3ee035b494837449883ca16f81b4c1775","abstract_canon_sha256":"5a9474bb8cece923d63ce060bcd643e9ab6d8a12850e16fe07075bf93c2acabc"},"schema_version":"1.0"},"canonical_sha256":"633bc3405b27b2f682780126ed57ed0c7e17a22ce63b96721e4d2f405f56261a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:33:14.007123Z","signature_b64":"zibqdXTjxrm7hYEg9Ykoano24FQxq90xuQPiy8iJIfCNbCphvgUy6VTryfFV49UaqOs9RZWhhQ74gD3qcQZwDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"633bc3405b27b2f682780126ed57ed0c7e17a22ce63b96721e4d2f405f56261a","last_reissued_at":"2026-07-05T05:33:14.006606Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:33:14.006606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.02121","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":"2026-07-05T05:33:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FSf5e+tWQGdVu9nORqymAaIzkR6970FUQLa66W0bcwUY4ZC67OtzKJDyb1YRflG6UncgMiymqI+szYjcL3I7Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:47:47.228829Z"},"content_sha256":"592f47e30802ebde546cb9ab191cbbe2c372eb7d8851f9b68e88f679db099b96","schema_version":"1.0","event_id":"sha256:592f47e30802ebde546cb9ab191cbbe2c372eb7d8851f9b68e88f679db099b96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:MM54GQC3E6ZPNATYAETO2V7NBR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adapting to Online Label Shift with Provable Guarantees","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Masashi Sugiyama, Peng Zhao, Yong Bai, Yu-Jie Zhang, Zhi-Hua Zhou","submitted_at":"2022-07-05T15:43:14Z","abstract_excerpt":"The standard supervised learning paradigm works effectively when training data shares the same distribution as the upcoming testing samples. However, this stationary assumption is often violated in real-world applications, especially when testing data appear in an online fashion. In this paper, we formulate and investigate the problem of \\emph{online label shift} (OLaS): the learner trains an initial model from the labeled offline data and then deploys it to an unlabeled online environment where the underlying label distribution changes over time but the label-conditional density does not. The"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.02121","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/2207.02121/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":"2026-07-05T05:33:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kFuvuCKYXUN+7etEyTJOrQ3QNyDQbGYboYrwzAnKeV3bqoY4a3o59/qumIvhGrkhwuZAqpxhYB5veg9yGkwdAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:47:47.229203Z"},"content_sha256":"63a9dddc2bb5dca83d7a52c97c4c4c7dc1e99722b77932bbee7d2aff510f6cf2","schema_version":"1.0","event_id":"sha256:63a9dddc2bb5dca83d7a52c97c4c4c7dc1e99722b77932bbee7d2aff510f6cf2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MM54GQC3E6ZPNATYAETO2V7NBR/bundle.json","state_url":"https://pith.science/pith/MM54GQC3E6ZPNATYAETO2V7NBR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MM54GQC3E6ZPNATYAETO2V7NBR/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":"2026-07-06T14:47:47Z","links":{"resolver":"https://pith.science/pith/MM54GQC3E6ZPNATYAETO2V7NBR","bundle":"https://pith.science/pith/MM54GQC3E6ZPNATYAETO2V7NBR/bundle.json","state":"https://pith.science/pith/MM54GQC3E6ZPNATYAETO2V7NBR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MM54GQC3E6ZPNATYAETO2V7NBR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MM54GQC3E6ZPNATYAETO2V7NBR","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":"5a9474bb8cece923d63ce060bcd643e9ab6d8a12850e16fe07075bf93c2acabc","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-05T15:43:14Z","title_canon_sha256":"333ba6046fc6b28fbe864d184f03faf3ee035b494837449883ca16f81b4c1775"},"schema_version":"1.0","source":{"id":"2207.02121","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.02121","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"arxiv_version","alias_value":"2207.02121v3","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.02121","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"pith_short_12","alias_value":"MM54GQC3E6ZP","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"pith_short_16","alias_value":"MM54GQC3E6ZPNATY","created_at":"2026-07-05T05:33:14Z"},{"alias_kind":"pith_short_8","alias_value":"MM54GQC3","created_at":"2026-07-05T05:33:14Z"}],"graph_snapshots":[{"event_id":"sha256:63a9dddc2bb5dca83d7a52c97c4c4c7dc1e99722b77932bbee7d2aff510f6cf2","target":"graph","created_at":"2026-07-05T05:33:14Z","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/2207.02121/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The standard supervised learning paradigm works effectively when training data shares the same distribution as the upcoming testing samples. However, this stationary assumption is often violated in real-world applications, especially when testing data appear in an online fashion. In this paper, we formulate and investigate the problem of \\emph{online label shift} (OLaS): the learner trains an initial model from the labeled offline data and then deploys it to an unlabeled online environment where the underlying label distribution changes over time but the label-conditional density does not. The","authors_text":"Masashi Sugiyama, Peng Zhao, Yong Bai, Yu-Jie Zhang, Zhi-Hua Zhou","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-05T15:43:14Z","title":"Adapting to Online Label Shift with Provable Guarantees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.02121","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":"sha256:592f47e30802ebde546cb9ab191cbbe2c372eb7d8851f9b68e88f679db099b96","target":"record","created_at":"2026-07-05T05:33:14Z","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":"5a9474bb8cece923d63ce060bcd643e9ab6d8a12850e16fe07075bf93c2acabc","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-07-05T15:43:14Z","title_canon_sha256":"333ba6046fc6b28fbe864d184f03faf3ee035b494837449883ca16f81b4c1775"},"schema_version":"1.0","source":{"id":"2207.02121","kind":"arxiv","version":3}},"canonical_sha256":"633bc3405b27b2f682780126ed57ed0c7e17a22ce63b96721e4d2f405f56261a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"633bc3405b27b2f682780126ed57ed0c7e17a22ce63b96721e4d2f405f56261a","first_computed_at":"2026-07-05T05:33:14.006606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:33:14.006606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zibqdXTjxrm7hYEg9Ykoano24FQxq90xuQPiy8iJIfCNbCphvgUy6VTryfFV49UaqOs9RZWhhQ74gD3qcQZwDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:33:14.007123Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.02121","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:592f47e30802ebde546cb9ab191cbbe2c372eb7d8851f9b68e88f679db099b96","sha256:63a9dddc2bb5dca83d7a52c97c4c4c7dc1e99722b77932bbee7d2aff510f6cf2"],"state_sha256":"0c6020f274d052ae73bb9198dcb8eeac189566b37b67a9a70f36d953c257a4ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u4AWGWeVVQsRE3x6SazmbqKaoZ6VuE3SHmRV7TvF2WTImVhQlzCvW6/qsgVlWtGMTjMwhjOqiIYZrbXVNjiaCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T14:47:47.231210Z","bundle_sha256":"ff6579ffe347366b2a096c2bd541284e315749815349deca4fdf9bbe5e984b8c"}}