{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2010:3E3QPMFXYYEENC3445CV4VWMVL","short_pith_number":"pith:3E3QPMFX","schema_version":"1.0","canonical_sha256":"d93707b0b7c608468b7ce7455e56ccaae27522259a112feeac107121544db5c3","source":{"kind":"arxiv","id":"1005.4244","version":4},"attestation_state":"computed","paper":{"title":"Bayesian Incentive Compatibility via Fractional Assignments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Xiaohui Bei, Zhiyi Huang","submitted_at":"2010-05-24T02:17:38Z","abstract_excerpt":"Very recently, Hartline and Lucier studied single-parameter mechanism design problems in the Bayesian setting. They proposed a black-box reduction that converted Bayesian approximation algorithms into Bayesian-Incentive-Compatible (BIC) mechanisms while preserving social welfare. It remains a major open question if one can find similar reduction in the more important multi-parameter setting. In this paper, we give positive answer to this question when the prior distribution has finite and small support. We propose a black-box reduction for designing BIC multi-parameter mechanisms. The reductio"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1005.4244","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2010-05-24T02:17:38Z","cross_cats_sorted":[],"title_canon_sha256":"aafcabb56d5e08e8cacafa00e9885cff994c381246b1f9acd47ffb618c7af19f","abstract_canon_sha256":"18398c4df420f3ffa9674af29114782f97a444901d5ee7202aa85864be109901"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:33:15.698843Z","signature_b64":"p2QZgzMLa/FIBujJgnkzC+hOVvCR9H+kI+2LsmAz2fRDLsdIwt7iXcDz/Dlr1mW8W/HOinTDvYcLQv7BSOSACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d93707b0b7c608468b7ce7455e56ccaae27522259a112feeac107121544db5c3","last_reissued_at":"2026-05-18T04:33:15.698352Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:33:15.698352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Incentive Compatibility via Fractional Assignments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Xiaohui Bei, Zhiyi Huang","submitted_at":"2010-05-24T02:17:38Z","abstract_excerpt":"Very recently, Hartline and Lucier studied single-parameter mechanism design problems in the Bayesian setting. They proposed a black-box reduction that converted Bayesian approximation algorithms into Bayesian-Incentive-Compatible (BIC) mechanisms while preserving social welfare. It remains a major open question if one can find similar reduction in the more important multi-parameter setting. In this paper, we give positive answer to this question when the prior distribution has finite and small support. We propose a black-box reduction for designing BIC multi-parameter mechanisms. The reductio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1005.4244","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1005.4244","created_at":"2026-05-18T04:33:15.698428+00:00"},{"alias_kind":"arxiv_version","alias_value":"1005.4244v4","created_at":"2026-05-18T04:33:15.698428+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1005.4244","created_at":"2026-05-18T04:33:15.698428+00:00"},{"alias_kind":"pith_short_12","alias_value":"3E3QPMFXYYEE","created_at":"2026-05-18T12:26:03.138858+00:00"},{"alias_kind":"pith_short_16","alias_value":"3E3QPMFXYYEENC34","created_at":"2026-05-18T12:26:03.138858+00:00"},{"alias_kind":"pith_short_8","alias_value":"3E3QPMFX","created_at":"2026-05-18T12:26:03.138858+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL","json":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL.json","graph_json":"https://pith.science/api/pith-number/3E3QPMFXYYEENC3445CV4VWMVL/graph.json","events_json":"https://pith.science/api/pith-number/3E3QPMFXYYEENC3445CV4VWMVL/events.json","paper":"https://pith.science/paper/3E3QPMFX"},"agent_actions":{"view_html":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL","download_json":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL.json","view_paper":"https://pith.science/paper/3E3QPMFX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1005.4244&json=true","fetch_graph":"https://pith.science/api/pith-number/3E3QPMFXYYEENC3445CV4VWMVL/graph.json","fetch_events":"https://pith.science/api/pith-number/3E3QPMFXYYEENC3445CV4VWMVL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL/action/storage_attestation","attest_author":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL/action/author_attestation","sign_citation":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL/action/citation_signature","submit_replication":"https://pith.science/pith/3E3QPMFXYYEENC3445CV4VWMVL/action/replication_record"}},"created_at":"2026-05-18T04:33:15.698428+00:00","updated_at":"2026-05-18T04:33:15.698428+00:00"}