{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7N3HBUVRBW7JIV4OBYN2OU7GQI","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":"705d6859175e8bd0b602ceac460cf3d22363406979745a4da10943d7e6a26fbc","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-05T17:05:49Z","title_canon_sha256":"56c561d03c62c37d7b3aba04c60e8948be8e4c8e90950048ce0cf1601173ee52"},"schema_version":"1.0","source":{"id":"2412.04346","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04346","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04346v2","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04346","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_12","alias_value":"7N3HBUVRBW7J","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_16","alias_value":"7N3HBUVRBW7JIV4O","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_8","alias_value":"7N3HBUVR","created_at":"2026-07-05T10:11:29Z"}],"graph_snapshots":[{"event_id":"sha256:00964b780eefe89cfb0fdf4be125baa6bb50f3522034c645830052c4d48d3905","target":"graph","created_at":"2026-07-05T10:11:29Z","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/2412.04346/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Performative prediction aims to model scenarios where predictive outcomes subsequently influence the very systems they target. The pursuit of a performative optimum (PO) -- minimizing performative risk -- is generally reliant on modeling of the distribution map, which characterizes how a deployed ML model alters the data distribution. Unfortunately, inevitable misspecification of the distribution map can lead to a poor approximation of the true PO. To address this issue, we introduce a novel framework of distributionally robust performative prediction and study a new solution concept termed as","authors_text":"Songkai Xue, Yuekai Sun","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-05T17:05:49Z","title":"Distributionally Robust Performative Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04346","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:e7d358835c2ce4be93cfeda31aa52079e988fe540878f09ca0bc427c68c3eed7","target":"record","created_at":"2026-07-05T10:11:29Z","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":"705d6859175e8bd0b602ceac460cf3d22363406979745a4da10943d7e6a26fbc","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-05T17:05:49Z","title_canon_sha256":"56c561d03c62c37d7b3aba04c60e8948be8e4c8e90950048ce0cf1601173ee52"},"schema_version":"1.0","source":{"id":"2412.04346","kind":"arxiv","version":2}},"canonical_sha256":"fb7670d2b10dbe94578e0e1ba753e6823f7dfe7cb76773277f947c01b6f27e2e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb7670d2b10dbe94578e0e1ba753e6823f7dfe7cb76773277f947c01b6f27e2e","first_computed_at":"2026-07-05T10:11:29.658961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:29.658961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WpO5HK1MbefD/ZfXOE8Ztxs3mHlKUzDWP35u0ramY2/Kkn54T8Q/FiBZa2CUzTXQ4QvN8aw8yG6mC4WpSZsPDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:29.659545Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.04346","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7d358835c2ce4be93cfeda31aa52079e988fe540878f09ca0bc427c68c3eed7","sha256:00964b780eefe89cfb0fdf4be125baa6bb50f3522034c645830052c4d48d3905"],"state_sha256":"e67ff538c70b0061ff3c8ec6034e202f3906d11ae915d3fb4f4685b76c3c9aa3"}