{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WYJISPVQODPVBKHT7SIGQI6EZV","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":"4a8ab9b2f9687beabd67199460c80a21e45176a7317d5de278a52e7dd27f2949","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-15T22:35:06Z","title_canon_sha256":"df17bb3b60db890d1fc875bd97bfc8be797133a8b178679220e0e0c88f3411a1"},"schema_version":"1.0","source":{"id":"2206.07837","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.07837","created_at":"2026-07-05T08:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"2206.07837v4","created_at":"2026-07-05T08:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.07837","created_at":"2026-07-05T08:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"WYJISPVQODPV","created_at":"2026-07-05T08:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"WYJISPVQODPVBKHT","created_at":"2026-07-05T08:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"WYJISPVQ","created_at":"2026-07-05T08:20:20Z"}],"graph_snapshots":[{"event_id":"sha256:e179e6dac9ba80c125e17daaee71c9c2e90343acf67e6aa2fe3a2eab2db209a2","target":"graph","created_at":"2026-07-05T08:20:20Z","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/2206.07837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent empirical studies on domain generalization (DG) have shown that DG algorithms that perform well on some distribution shifts fail on others, and no state-of-the-art DG algorithm performs consistently well on all shifts. Moreover, real-world data often has multiple distribution shifts over different attributes; hence we introduce multi-attribute distribution shift datasets and find that the accuracy of existing DG algorithms falls even further. To explain these results, we provide a formal characterization of generalization under multi-attribute shifts using a canonical causal graph. Base","authors_text":"Amit Sharma, Emre Kiciman, Jivat Neet Kaur","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-15T22:35:06Z","title":"Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.07837","kind":"arxiv","version":4},"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":"sha256:9f4c5e0de65adc75dda7b0c9f58545ca397314e4b7999315c393d89fc9ce6a38","target":"record","created_at":"2026-07-05T08:20:20Z","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":"4a8ab9b2f9687beabd67199460c80a21e45176a7317d5de278a52e7dd27f2949","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-15T22:35:06Z","title_canon_sha256":"df17bb3b60db890d1fc875bd97bfc8be797133a8b178679220e0e0c88f3411a1"},"schema_version":"1.0","source":{"id":"2206.07837","kind":"arxiv","version":4}},"canonical_sha256":"b612893eb070df50a8f3fc906823c4cd4097569935c83447344e7ce617357e15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b612893eb070df50a8f3fc906823c4cd4097569935c83447344e7ce617357e15","first_computed_at":"2026-07-05T08:20:20.883729Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:20.883729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JEwhwK9zch0Vyuo4iCl2e29jUccEQfKqUCWC4Xr25iYTDY7/DwuuqlquXwlPmZPk+ct7TWHWat/HrLxHXSkiDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:20.884163Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.07837","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f4c5e0de65adc75dda7b0c9f58545ca397314e4b7999315c393d89fc9ce6a38","sha256:e179e6dac9ba80c125e17daaee71c9c2e90343acf67e6aa2fe3a2eab2db209a2"],"state_sha256":"9d9cc0fdd7daa873c7aba2e31c72129278e96f41789b43de4e48fc0eaa4862ff"}