{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FBKOA47IKSKEC4DMQT4XOLCGSW","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":"b6220b971b4351814d2dae042f56705e65b853ace33ac95969a5c749d8ff3bbf","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-18T17:59:31Z","title_canon_sha256":"15ac5aa854d9a87765e20e995a25e2f82bb761a17789d8cb9bfa1a69d8967042"},"schema_version":"1.0","source":{"id":"2606.20557","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20557","created_at":"2026-06-19T16:13:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20557v1","created_at":"2026-06-19T16:13:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20557","created_at":"2026-06-19T16:13:15Z"},{"alias_kind":"pith_short_12","alias_value":"FBKOA47IKSKE","created_at":"2026-06-19T16:13:15Z"},{"alias_kind":"pith_short_16","alias_value":"FBKOA47IKSKEC4DM","created_at":"2026-06-19T16:13:15Z"},{"alias_kind":"pith_short_8","alias_value":"FBKOA47I","created_at":"2026-06-19T16:13:15Z"}],"graph_snapshots":[{"event_id":"sha256:b3e99ea12bd94789194b69fae638eef325c02422799a4658634b5351890d761d","target":"graph","created_at":"2026-06-19T16:13:15Z","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/2606.20557/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A model is multicalibrated on a collection of group weights $G$ if it is calibrated -- i.e. unbiased even conditional on its prediction -- not just overall, but also after reweighting contexts by each $g \\in G$. It is a useful property for many downstream applications and is a basic desideratum of trustworthy machine learning. Before this work, all predictors known to attain the minimax-optimal $\\widetilde O(\\varepsilon^{-3})$ sample complexity rate for $\\varepsilon$-multicalibration were randomized, while deterministic predictors were known only with substantially worse sample complexity. Whe","authors_text":"Aaron Roth, Georgy Noarov","cross_cats":["math.ST","stat.ML","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-18T17:59:31Z","title":"Optimal Deterministic Multicalibration and Omniprediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20557","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:cad4ab51099645ef829e209c0a3c7dc4b2172adef7d065f785fb28db524dc236","target":"record","created_at":"2026-06-19T16:13:15Z","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":"b6220b971b4351814d2dae042f56705e65b853ace33ac95969a5c749d8ff3bbf","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-18T17:59:31Z","title_canon_sha256":"15ac5aa854d9a87765e20e995a25e2f82bb761a17789d8cb9bfa1a69d8967042"},"schema_version":"1.0","source":{"id":"2606.20557","kind":"arxiv","version":1}},"canonical_sha256":"2854e073e8549441706c84f9772c469590085eb211dc7a0ab2466401e1a3b973","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2854e073e8549441706c84f9772c469590085eb211dc7a0ab2466401e1a3b973","first_computed_at":"2026-06-19T16:13:15.282546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:15.282546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NPEokJz7C+1OCoYXXSE54aajGWfoW7pL5BOQaMFYmJjBQAJwl4Gvv0Ty7oR59fnHwCdUK2wGvFXtLYI3XwkGDA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:15.282894Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20557","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cad4ab51099645ef829e209c0a3c7dc4b2172adef7d065f785fb28db524dc236","sha256:b3e99ea12bd94789194b69fae638eef325c02422799a4658634b5351890d761d"],"state_sha256":"16e79938eb917cfac5ba6ccc6d8f260c2149a9d95b2abbf89283b16f9961c688"}