{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LTVINVI5AAAGXL6RB7TKCDHB5U","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":"f804acca7379e0ea67cba183b58c32d48064ebfa215f01df75cb7e5c41ac9730","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-09T18:45:43Z","title_canon_sha256":"b678442a42abd1e69b182e3b63a940aabf42fc8da7c2f1014c2e6bbd0aa3ba3d"},"schema_version":"1.0","source":{"id":"2409.05996","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.05996","created_at":"2026-07-05T09:05:00Z"},{"alias_kind":"arxiv_version","alias_value":"2409.05996v1","created_at":"2026-07-05T09:05:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.05996","created_at":"2026-07-05T09:05:00Z"},{"alias_kind":"pith_short_12","alias_value":"LTVINVI5AAAG","created_at":"2026-07-05T09:05:00Z"},{"alias_kind":"pith_short_16","alias_value":"LTVINVI5AAAGXL6R","created_at":"2026-07-05T09:05:00Z"},{"alias_kind":"pith_short_8","alias_value":"LTVINVI5","created_at":"2026-07-05T09:05:00Z"}],"graph_snapshots":[{"event_id":"sha256:50cd0e347b80ddf3daab54456e323caa78ebee1d34ccb07ca80cf895865dfd07","target":"graph","created_at":"2026-07-05T09:05:00Z","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/2409.05996/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distribution shifts between sites can seriously degrade model performance since models are prone to exploiting unstable correlations. Thus, many methods try to find features that are stable across sites and discard unstable features. However, unstable features might have complementary information that, if used appropriately, could increase accuracy. More recent methods try to adapt to unstable features at the new sites to achieve higher accuracy. However, they make unrealistic assumptions or fail to scale to multiple confounding features. We propose Generalized Prevalence Adjustment (GPA for s","authors_text":"Alan Q. Wang, Heejong Kim, Mert R. Sabuncu, Minh Nguyen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-09T18:45:43Z","title":"Adapting to Shifting Correlations with Unlabeled Data Calibration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.05996","kind":"arxiv","version":1},"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":"sha256:563d0d219b9fb087daaf4efb42fbdb7a6281ece92b98c4c6ad7344ee9f3d64b1","target":"record","created_at":"2026-07-05T09:05:00Z","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":"f804acca7379e0ea67cba183b58c32d48064ebfa215f01df75cb7e5c41ac9730","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-09T18:45:43Z","title_canon_sha256":"b678442a42abd1e69b182e3b63a940aabf42fc8da7c2f1014c2e6bbd0aa3ba3d"},"schema_version":"1.0","source":{"id":"2409.05996","kind":"arxiv","version":1}},"canonical_sha256":"5cea86d51d00006bafd10fe6a10ce1ed383422d869b5c1e6824c516798cc174d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cea86d51d00006bafd10fe6a10ce1ed383422d869b5c1e6824c516798cc174d","first_computed_at":"2026-07-05T09:05:00.681389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:00.681389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rAtvRS66s6Nutu2ns76hjNvH270ip0X9wJNg6dLQ68okodZclDUeXnC9xXuvZrcrrMpdeINu36TupzSNL8TXAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:00.681858Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.05996","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:563d0d219b9fb087daaf4efb42fbdb7a6281ece92b98c4c6ad7344ee9f3d64b1","sha256:50cd0e347b80ddf3daab54456e323caa78ebee1d34ccb07ca80cf895865dfd07"],"state_sha256":"4f021f6a8864e7908d70d8bd5240a4a0e1d1c690c2788c22db67a6a0e261c58f"}