{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WDSOIIS4X5AERCPN6MJWCKZFWU","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":"ebfec93d3c122a0bcfe4f9664cb1aaa63759757c689565149c0107c1c6ce3ed1","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"math.OC","submitted_at":"2026-05-18T01:46:45Z","title_canon_sha256":"4f8df8f6de9dc66f3f01d59f852399910fca9fa23a5c839465542cd0b4e4d50c"},"schema_version":"1.0","source":{"id":"2605.17741","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17741","created_at":"2026-05-20T00:04:55Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17741v1","created_at":"2026-05-20T00:04:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17741","created_at":"2026-05-20T00:04:55Z"},{"alias_kind":"pith_short_12","alias_value":"WDSOIIS4X5AE","created_at":"2026-05-20T00:04:55Z"},{"alias_kind":"pith_short_16","alias_value":"WDSOIIS4X5AERCPN","created_at":"2026-05-20T00:04:55Z"},{"alias_kind":"pith_short_8","alias_value":"WDSOIIS4","created_at":"2026-05-20T00:04:55Z"}],"graph_snapshots":[{"event_id":"sha256:7d11014fbd91dea0b2269031b4d4e81ac97bd573655d538ec99740d523083ebc","target":"graph","created_at":"2026-05-20T00:04:55Z","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/2605.17741/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study investigates a robust screening problem under distributional ambiguity, where a seller is uncertain about a buyer's true valuation distribution, knowing only that it lies near a reference distribution measured by the Wasserstein metric. Traditional robust optimization (RO) approaches prioritize maximizing worst-case revenue within predefined ambiguity sets, often yielding seller-centric outcomes and reliance on precise set specifications. We propose a robust satisficing (RS) framework aimed at attaining a specified revenue target by minimizing the worst-case shortfall across all pot","authors_text":"Daniel Zhuoyu Long, Lijian Lu, Shumin Ma","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"math.OC","submitted_at":"2026-05-18T01:46:45Z","title":"From Optimization to Satisficing: Robust Screening under Distributional Ambiguity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17741","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":"sha256:4c2059e14b3b9440a62b2e00ffe35b68d3d184209c0684066689dfec1eb6b6d7","target":"record","created_at":"2026-05-20T00:04:55Z","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":"ebfec93d3c122a0bcfe4f9664cb1aaa63759757c689565149c0107c1c6ce3ed1","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"math.OC","submitted_at":"2026-05-18T01:46:45Z","title_canon_sha256":"4f8df8f6de9dc66f3f01d59f852399910fca9fa23a5c839465542cd0b4e4d50c"},"schema_version":"1.0","source":{"id":"2605.17741","kind":"arxiv","version":1}},"canonical_sha256":"b0e4e4225cbf404889edf313612b25b52210fd215d79da1c606cf575ad7356bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0e4e4225cbf404889edf313612b25b52210fd215d79da1c606cf575ad7356bd","first_computed_at":"2026-05-20T00:04:55.803070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:55.803070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mQBTjsp/5Il15JUtpJhObxZFGy4gqfNpkfMe2zt45wc/fntlKlHx3lKN0+QEtA5g3AkpMPARYjvYAvUSAVq+Bw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:55.803911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17741","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c2059e14b3b9440a62b2e00ffe35b68d3d184209c0684066689dfec1eb6b6d7","sha256:7d11014fbd91dea0b2269031b4d4e81ac97bd573655d538ec99740d523083ebc"],"state_sha256":"7e41e7dd9ada896c429fc0227e25ea3c08dc8225681544745376fc141dd86baf"}