{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:IX5BJV4WAAGLAVLA4OHTUB45C2","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":"90fbd33011e191bebbdde2185202b458a34073c8a72f0c6fecb82ea6bb63e197","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-08T08:42:09Z","title_canon_sha256":"08145191e47f973c7ea10ccf006b308b85f8735101ac5a79efe3357ed29004dd"},"schema_version":"1.0","source":{"id":"1708.02406","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.02406","created_at":"2026-05-18T00:38:24Z"},{"alias_kind":"arxiv_version","alias_value":"1708.02406v1","created_at":"2026-05-18T00:38:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.02406","created_at":"2026-05-18T00:38:24Z"},{"alias_kind":"pith_short_12","alias_value":"IX5BJV4WAAGL","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IX5BJV4WAAGLAVLA","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IX5BJV4W","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:cd324ecd48ba1c95195976d06106a118f75a8fabcdae6f5fc000c9e89967fcc7","target":"graph","created_at":"2026-05-18T00:38:24Z","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"},"paper":{"abstract_excerpt":"Conditional probabilities are a core concept in machine learning. For example, optimal prediction of a label $Y$ given an input $X$ corresponds to maximizing the conditional probability of $Y$ given $X$. A common approach to inference tasks is learning a model of conditional probabilities. However, these models are often based on strong assumptions (e.g., log-linear models), and hence their estimate of conditional probabilities is not robust and is highly dependent on the validity of their assumptions.\n  Here we propose a framework for reasoning about conditional probabilities without assuming","authors_text":"Amir Globerson, Yoav Wald","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-08T08:42:09Z","title":"Robust Conditional Probabilities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.02406","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":"sha256:1e8e4996c3ebe476d906d7329adaead6ca865c459e8ff1469a828dc4dfb30ef2","target":"record","created_at":"2026-05-18T00:38:24Z","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":"90fbd33011e191bebbdde2185202b458a34073c8a72f0c6fecb82ea6bb63e197","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-08T08:42:09Z","title_canon_sha256":"08145191e47f973c7ea10ccf006b308b85f8735101ac5a79efe3357ed29004dd"},"schema_version":"1.0","source":{"id":"1708.02406","kind":"arxiv","version":1}},"canonical_sha256":"45fa14d796000cb05560e38f3a079d168be33a0b510df06dcce9c0a5b8e4e9a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45fa14d796000cb05560e38f3a079d168be33a0b510df06dcce9c0a5b8e4e9a7","first_computed_at":"2026-05-18T00:38:24.388135Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:24.388135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1o2dlC5EhZ4YWzJlSeoemVgWgpszU71QYpi9xBH0HvnPSOGcDJiPD8ToTGq16ONQOf3pC1OQ6MRaFEB2XQPDCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:24.388835Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.02406","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e8e4996c3ebe476d906d7329adaead6ca865c459e8ff1469a828dc4dfb30ef2","sha256:cd324ecd48ba1c95195976d06106a118f75a8fabcdae6f5fc000c9e89967fcc7"],"state_sha256":"da296a0ba7c609747ab1ed0a48f0b0f9d3247dc695cf53c2d730a6f58624bc53"}