{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:URZPSY5X24O4YJ4W4KXI3FBDVB","short_pith_number":"pith:URZPSY5X","schema_version":"1.0","canonical_sha256":"a472f963b7d71dcc2796e2ae8d9423a85e6aeaef4368b37c7d91f6cf7695a314","source":{"kind":"arxiv","id":"1106.5270","version":1},"attestation_state":"computed","paper":{"title":"Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"D. McAllester, J. A. Csirik, M. L. Littman, P. Stone, R. E. Schapire","submitted_at":"2011-06-26T21:08:54Z","abstract_excerpt":"Auctions are becoming an increasingly popular method for transacting business, especially over the Internet. This article presents a general approach to building autonomous bidding agents to bid in multiple simultaneous auctions for interacting goods. A core component of our approach learns a model of the empirical price dynamics based on past data and uses the model to analytically calculate, to the greatest extent possible, optimal bids. We introduce a new and general boosting-based algorithm for conditional density estimation problems of this kind, i.e., supervised learning problems in whic"},"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":"1106.5270","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-06-26T21:08:54Z","cross_cats_sorted":[],"title_canon_sha256":"7dc16d0834d2487b79fa024fd1a1ec4c33515371aecf3c2f037c5ea4f157bf09","abstract_canon_sha256":"2e90fd162a8df8ccdf745e394bed2e754bd656d9d82f5a56c788d30519ca2065"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:19:13.914170Z","signature_b64":"6q3+yylEQNTmdj49wBAOcYvJyHel2xlYTkvtPSiNFvR/FIJ5t9t4X/1csbq2hWFYHLBn73utAPciNrgeK/npCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a472f963b7d71dcc2796e2ae8d9423a85e6aeaef4368b37c7d91f6cf7695a314","last_reissued_at":"2026-05-18T04:19:13.913693Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:19:13.913693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"D. McAllester, J. A. Csirik, M. L. Littman, P. Stone, R. E. Schapire","submitted_at":"2011-06-26T21:08:54Z","abstract_excerpt":"Auctions are becoming an increasingly popular method for transacting business, especially over the Internet. This article presents a general approach to building autonomous bidding agents to bid in multiple simultaneous auctions for interacting goods. A core component of our approach learns a model of the empirical price dynamics based on past data and uses the model to analytically calculate, to the greatest extent possible, optimal bids. We introduce a new and general boosting-based algorithm for conditional density estimation problems of this kind, i.e., supervised learning problems in whic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.5270","kind":"arxiv","version":1},"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":"1106.5270","created_at":"2026-05-18T04:19:13.913771+00:00"},{"alias_kind":"arxiv_version","alias_value":"1106.5270v1","created_at":"2026-05-18T04:19:13.913771+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.5270","created_at":"2026-05-18T04:19:13.913771+00:00"},{"alias_kind":"pith_short_12","alias_value":"URZPSY5X24O4","created_at":"2026-05-18T12:26:42.757692+00:00"},{"alias_kind":"pith_short_16","alias_value":"URZPSY5X24O4YJ4W","created_at":"2026-05-18T12:26:42.757692+00:00"},{"alias_kind":"pith_short_8","alias_value":"URZPSY5X","created_at":"2026-05-18T12:26:42.757692+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/URZPSY5X24O4YJ4W4KXI3FBDVB","json":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB.json","graph_json":"https://pith.science/api/pith-number/URZPSY5X24O4YJ4W4KXI3FBDVB/graph.json","events_json":"https://pith.science/api/pith-number/URZPSY5X24O4YJ4W4KXI3FBDVB/events.json","paper":"https://pith.science/paper/URZPSY5X"},"agent_actions":{"view_html":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB","download_json":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB.json","view_paper":"https://pith.science/paper/URZPSY5X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1106.5270&json=true","fetch_graph":"https://pith.science/api/pith-number/URZPSY5X24O4YJ4W4KXI3FBDVB/graph.json","fetch_events":"https://pith.science/api/pith-number/URZPSY5X24O4YJ4W4KXI3FBDVB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB/action/storage_attestation","attest_author":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB/action/author_attestation","sign_citation":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB/action/citation_signature","submit_replication":"https://pith.science/pith/URZPSY5X24O4YJ4W4KXI3FBDVB/action/replication_record"}},"created_at":"2026-05-18T04:19:13.913771+00:00","updated_at":"2026-05-18T04:19:13.913771+00:00"}