{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PT7SUAO7B5GLGZGHOTQVWYEMFU","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":"d8d66d2097eb5cfb573867c471dc30b34b157898f9ae38b246346d0501870a63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-10-22T07:41:30Z","title_canon_sha256":"b3ecd2fb72c6117cec434b31fe2908c9827bf22df68e8270ee6a7680fcd763f9"},"schema_version":"1.0","source":{"id":"2510.19328","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.19328","created_at":"2026-05-26T01:03:17Z"},{"alias_kind":"arxiv_version","alias_value":"2510.19328v2","created_at":"2026-05-26T01:03:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.19328","created_at":"2026-05-26T01:03:17Z"},{"alias_kind":"pith_short_12","alias_value":"PT7SUAO7B5GL","created_at":"2026-05-26T01:03:17Z"},{"alias_kind":"pith_short_16","alias_value":"PT7SUAO7B5GLGZGH","created_at":"2026-05-26T01:03:17Z"},{"alias_kind":"pith_short_8","alias_value":"PT7SUAO7","created_at":"2026-05-26T01:03:17Z"}],"graph_snapshots":[{"event_id":"sha256:b734438a5b80d9842c41c7db316181d45217b128356391905cc51281b0df2605","target":"graph","created_at":"2026-05-26T01:03:17Z","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/2510.19328/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ensuring that predicted probabilities align with observed frequencies is critical in high-stakes domains such as clinical decision support, autonomous driving and financial risk assessment. Existing calibration methods typically apply a single global transformation or rely on post-hoc binning over predicted confidences, limiting their ability to exploit heterogeneous reliability across sub-populations. We propose Clustered Calibration, a representation-aware framework that identifies sub-populations via clustering in learned feature spaces (e.g., coverage vectors, SHAP values, CNN activations,","authors_text":"Bracha Shapira, Nadav Rappoport, Tomer Lavi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-10-22T07:41:30Z","title":"Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.19328","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":"sha256:212446edec8ba9e9077bf968ce0899e90311dbab80527ce9a6b32c723771a2ca","target":"record","created_at":"2026-05-26T01:03:17Z","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":"d8d66d2097eb5cfb573867c471dc30b34b157898f9ae38b246346d0501870a63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-10-22T07:41:30Z","title_canon_sha256":"b3ecd2fb72c6117cec434b31fe2908c9827bf22df68e8270ee6a7680fcd763f9"},"schema_version":"1.0","source":{"id":"2510.19328","kind":"arxiv","version":2}},"canonical_sha256":"7cff2a01df0f4cb364c774e15b608c2d26834b5fd366eec51aaa9c3cd8dd5e44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7cff2a01df0f4cb364c774e15b608c2d26834b5fd366eec51aaa9c3cd8dd5e44","first_computed_at":"2026-05-26T01:03:17.081570Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:17.081570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Pdwa6vSHB5+VNOT/bEyzDEiDR49cskCF8Jrrnw+nbWzf+mPxfXJz3oMJHo/Z9jTuqPR2hgQoF0X82gLh1SIRBw==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:17.082173Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.19328","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:212446edec8ba9e9077bf968ce0899e90311dbab80527ce9a6b32c723771a2ca","sha256:b734438a5b80d9842c41c7db316181d45217b128356391905cc51281b0df2605"],"state_sha256":"ce06727870cdf941679551c5e8055ffa498c08027bff9f76cd6b2d9bee359485"}