{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LP45PF37OPJTAZHQFGHCHXCTBN","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":"314f65d274a833776a6e9645ce290d092569135791b30dc36e19933dab0e8403","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T16:33:35Z","title_canon_sha256":"6bdb1648bcbe9abcf5dad0c3b0957594cd2df97922fb07c9405ae075e3fa8138"},"schema_version":"1.0","source":{"id":"2402.07772","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.07772","created_at":"2026-07-05T07:44:12Z"},{"alias_kind":"arxiv_version","alias_value":"2402.07772v1","created_at":"2026-07-05T07:44:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07772","created_at":"2026-07-05T07:44:12Z"},{"alias_kind":"pith_short_12","alias_value":"LP45PF37OPJT","created_at":"2026-07-05T07:44:12Z"},{"alias_kind":"pith_short_16","alias_value":"LP45PF37OPJTAZHQ","created_at":"2026-07-05T07:44:12Z"},{"alias_kind":"pith_short_8","alias_value":"LP45PF37","created_at":"2026-07-05T07:44:12Z"}],"graph_snapshots":[{"event_id":"sha256:74964315ed976d9f4d6385a8c00a0abb5e00ef6dd536fd04de1a0c20bec8648f","target":"graph","created_at":"2026-07-05T07:44:12Z","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/2402.07772/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many decision processes in artificial intelligence and operations research are modeled by parametric optimization problems whose defining parameters are unknown and must be inferred from observable data. The Predict-Then-Optimize (PtO) paradigm in machine learning aims to maximize downstream decision quality by training the parametric inference model end-to-end with the subsequent constrained optimization. This requires backpropagation through the optimization problem using approximation techniques specific to the problem's form, especially for nondifferentiable linear and mixed-integer progra","authors_text":"Ferdinando Fioretto, James Kotary, My H Dinh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T16:33:35Z","title":"End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07772","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":"sha256:365a3ec3f2402af8c2381c159ce851e392f323df439821ecad515afee874eeb8","target":"record","created_at":"2026-07-05T07:44:12Z","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":"314f65d274a833776a6e9645ce290d092569135791b30dc36e19933dab0e8403","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T16:33:35Z","title_canon_sha256":"6bdb1648bcbe9abcf5dad0c3b0957594cd2df97922fb07c9405ae075e3fa8138"},"schema_version":"1.0","source":{"id":"2402.07772","kind":"arxiv","version":1}},"canonical_sha256":"5bf9d7977f73d33064f0298e23dc530b594fb68f3e5b575a83547b75ab60c5a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bf9d7977f73d33064f0298e23dc530b594fb68f3e5b575a83547b75ab60c5a8","first_computed_at":"2026-07-05T07:44:12.220149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:44:12.220149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cYXE7wWCNzdPp1gE8M5baUzpT2dfUZRwlX0zncBAq3fS1nHPcvZxk6Z0JIX0v/0c3bUF4IQSySBa3TPIRpH6AA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:44:12.220553Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.07772","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:365a3ec3f2402af8c2381c159ce851e392f323df439821ecad515afee874eeb8","sha256:74964315ed976d9f4d6385a8c00a0abb5e00ef6dd536fd04de1a0c20bec8648f"],"state_sha256":"3c86ab9df8c8e2e7f7afa21cab67c5eb7eec15c7695175888b3e91f27ef0c069"}