{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:W3MMOFUD2G3VOSR7DJETQJ52E7","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":"51abba41a99316e108fcf0b1456fc3cc5a098a47def1723825c2c63d94b54f1e","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-20T12:55:37Z","title_canon_sha256":"0e34ce8d6fea516994a037bc51713e840ae35da2d19a45f1dd7cfe74ca8276b4"},"schema_version":"1.0","source":{"id":"2104.09937","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.09937","created_at":"2026-07-05T02:57:53Z"},{"alias_kind":"arxiv_version","alias_value":"2104.09937v3","created_at":"2026-07-05T02:57:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.09937","created_at":"2026-07-05T02:57:53Z"},{"alias_kind":"pith_short_12","alias_value":"W3MMOFUD2G3V","created_at":"2026-07-05T02:57:53Z"},{"alias_kind":"pith_short_16","alias_value":"W3MMOFUD2G3VOSR7","created_at":"2026-07-05T02:57:53Z"},{"alias_kind":"pith_short_8","alias_value":"W3MMOFUD","created_at":"2026-07-05T02:57:53Z"}],"graph_snapshots":[{"event_id":"sha256:429c95db3e5b0e13a0dec0447cfa040871c26bd977f0957c9f18b259684ada36","target":"graph","created_at":"2026-07-05T02:57:53Z","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/2104.09937/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning systems typically assume that the distributions of training and test sets match closely. However, a critical requirement of such systems in the real world is their ability to generalize to unseen domains. Here, we propose an inter-domain gradient matching objective that targets domain generalization by maximizing the inner product between gradients from different domains. Since direct optimization of the gradient inner product can be computationally prohibitive -- requires computation of second-order derivatives -- we derive a simpler first-order algorithm named Fish that appr","authors_text":"Awni Hannun, Gabriel Synnaeve, Jeffrey Seely, Nicolas Usunier, N. Siddharth, Philip H.S. Torr, Yuge Shi","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-20T12:55:37Z","title":"Gradient Matching for Domain Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.09937","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":"sha256:8d0a3ecba6c765e5e24c1d9ebaf21e16ac932840628a11166a31289aada92bdb","target":"record","created_at":"2026-07-05T02:57:53Z","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":"51abba41a99316e108fcf0b1456fc3cc5a098a47def1723825c2c63d94b54f1e","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-20T12:55:37Z","title_canon_sha256":"0e34ce8d6fea516994a037bc51713e840ae35da2d19a45f1dd7cfe74ca8276b4"},"schema_version":"1.0","source":{"id":"2104.09937","kind":"arxiv","version":3}},"canonical_sha256":"b6d8c71683d1b7574a3f1a493827ba27db95b557d06b5e8b8273e63882eb5a27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6d8c71683d1b7574a3f1a493827ba27db95b557d06b5e8b8273e63882eb5a27","first_computed_at":"2026-07-05T02:57:53.864390Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:57:53.864390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7hekKJxHpp9nEO83YSdbPFR3ejSYf3i45xleDqpf5zhollr4JWSYET+NOPDfOJCszZYAhRuRM4sg74Nj8/YGCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:57:53.864848Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.09937","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d0a3ecba6c765e5e24c1d9ebaf21e16ac932840628a11166a31289aada92bdb","sha256:429c95db3e5b0e13a0dec0447cfa040871c26bd977f0957c9f18b259684ada36"],"state_sha256":"c0a6694318ef8052cedfdf8dd8daec2a943ecf8aa84c561751b7b63ca9d4c82b"}