{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:MHDTGA6SM3EONQWSEZMBRJGUVH","short_pith_number":"pith:MHDTGA6S","schema_version":"1.0","canonical_sha256":"61c73303d266c8e6c2d2265818a4d4a9f5b3c2a100e9859c146605e86faae4c4","source":{"kind":"arxiv","id":"1301.1444","version":2},"attestation_state":"computed","paper":{"title":"Object-oriented Bayesian networks for a decision support system for antitrust enforcement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"cs.AI","authors_text":"Cecilia Vergari, Julia Mortera, Paola Vicard","submitted_at":"2013-01-08T08:54:26Z","abstract_excerpt":"We study an economic decision problem where the actors are two firms and the Antitrust Authority whose main task is to monitor and prevent firms' potential anti-competitive behaviour and its effect on the market. The Antitrust Authority's decision process is modelled using a Bayesian network where both the relational structure and the parameters of the model are estimated from a data set provided by the Authority itself. A number of economic variables that influence this decision process are also included in the model. We analyse how monitoring by the Antitrust Authority affects firms' strateg"},"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":"1301.1444","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-01-08T08:54:26Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"fc57337203078b0bea64dd23b7652c130faf789eeed0a12c2261176fe532f67c","abstract_canon_sha256":"fa573bda73bf6c5aa980d4e9a417ff27eec8fbc8de710df471f2aeb9afd65c9e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:26.260272Z","signature_b64":"oGMpZuLD/wCdzu30yyfemhTbPPaMnKBlMpdp21wXJlYQiQGGwwnlZiBpks5BKShXc3RW1lRkrMC4YKNUdutaCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61c73303d266c8e6c2d2265818a4d4a9f5b3c2a100e9859c146605e86faae4c4","last_reissued_at":"2026-05-18T03:05:26.259629Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:26.259629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Object-oriented Bayesian networks for a decision support system for antitrust enforcement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"cs.AI","authors_text":"Cecilia Vergari, Julia Mortera, Paola Vicard","submitted_at":"2013-01-08T08:54:26Z","abstract_excerpt":"We study an economic decision problem where the actors are two firms and the Antitrust Authority whose main task is to monitor and prevent firms' potential anti-competitive behaviour and its effect on the market. The Antitrust Authority's decision process is modelled using a Bayesian network where both the relational structure and the parameters of the model are estimated from a data set provided by the Authority itself. A number of economic variables that influence this decision process are also included in the model. We analyse how monitoring by the Antitrust Authority affects firms' strateg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.1444","kind":"arxiv","version":2},"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":"1301.1444","created_at":"2026-05-18T03:05:26.259720+00:00"},{"alias_kind":"arxiv_version","alias_value":"1301.1444v2","created_at":"2026-05-18T03:05:26.259720+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.1444","created_at":"2026-05-18T03:05:26.259720+00:00"},{"alias_kind":"pith_short_12","alias_value":"MHDTGA6SM3EO","created_at":"2026-05-18T12:27:52.871228+00:00"},{"alias_kind":"pith_short_16","alias_value":"MHDTGA6SM3EONQWS","created_at":"2026-05-18T12:27:52.871228+00:00"},{"alias_kind":"pith_short_8","alias_value":"MHDTGA6S","created_at":"2026-05-18T12:27:52.871228+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/MHDTGA6SM3EONQWSEZMBRJGUVH","json":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH.json","graph_json":"https://pith.science/api/pith-number/MHDTGA6SM3EONQWSEZMBRJGUVH/graph.json","events_json":"https://pith.science/api/pith-number/MHDTGA6SM3EONQWSEZMBRJGUVH/events.json","paper":"https://pith.science/paper/MHDTGA6S"},"agent_actions":{"view_html":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH","download_json":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH.json","view_paper":"https://pith.science/paper/MHDTGA6S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1301.1444&json=true","fetch_graph":"https://pith.science/api/pith-number/MHDTGA6SM3EONQWSEZMBRJGUVH/graph.json","fetch_events":"https://pith.science/api/pith-number/MHDTGA6SM3EONQWSEZMBRJGUVH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH/action/storage_attestation","attest_author":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH/action/author_attestation","sign_citation":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH/action/citation_signature","submit_replication":"https://pith.science/pith/MHDTGA6SM3EONQWSEZMBRJGUVH/action/replication_record"}},"created_at":"2026-05-18T03:05:26.259720+00:00","updated_at":"2026-05-18T03:05:26.259720+00:00"}