{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:UXH7ABWM44SO55LG6IP47FWN4P","short_pith_number":"pith:UXH7ABWM","schema_version":"1.0","canonical_sha256":"a5cff006cce724eef566f21fcf96cde3eacb0b38a990133db3d983ac2565809d","source":{"kind":"arxiv","id":"1405.2572","version":2},"attestation_state":"computed","paper":{"title":"Theory-independent limits on correlations from generalised Bayesian networks","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Joe Henson, Matthew F. Pusey, Raymond Lal","submitted_at":"2014-05-11T19:20:52Z","abstract_excerpt":"Bayesian networks provide a powerful tool for reasoning about probabilistic causation, used in many areas of science. They are, however, intrinsically classical. In particular, Bayesian networks naturally yield the Bell inequalities. Inspired by this connection, we generalise the formalism of classical Bayesian networks in order to investigate non-classical correlations in arbitrary causal structures. Our framework of `generalised Bayesian networks' replaces latent variables with the resources of any generalised probabilistic theory, most importantly quantum theory, but also, for example, Pope"},"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":"1405.2572","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"quant-ph","submitted_at":"2014-05-11T19:20:52Z","cross_cats_sorted":[],"title_canon_sha256":"6985a5c3d9a51f081d63259113b01d766769e024accac41bf7e856390c44a5fd","abstract_canon_sha256":"a7054856188e0ab1cbb91b2ca713877e7366b4fd4fa4c73b342b15b21e37fafd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:32:22.305126Z","signature_b64":"pakjwHAQbPgVeVnc7qcyEjy63LES8/+viek/zUzKIgRAg8yMPXS0Sm8BaYFhPP6LimUQ7v3M1/igIG4i8/z6BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5cff006cce724eef566f21fcf96cde3eacb0b38a990133db3d983ac2565809d","last_reissued_at":"2026-05-18T02:32:22.304760Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:32:22.304760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Theory-independent limits on correlations from generalised Bayesian networks","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Joe Henson, Matthew F. Pusey, Raymond Lal","submitted_at":"2014-05-11T19:20:52Z","abstract_excerpt":"Bayesian networks provide a powerful tool for reasoning about probabilistic causation, used in many areas of science. They are, however, intrinsically classical. In particular, Bayesian networks naturally yield the Bell inequalities. Inspired by this connection, we generalise the formalism of classical Bayesian networks in order to investigate non-classical correlations in arbitrary causal structures. Our framework of `generalised Bayesian networks' replaces latent variables with the resources of any generalised probabilistic theory, most importantly quantum theory, but also, for example, Pope"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.2572","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":"1405.2572","created_at":"2026-05-18T02:32:22.304822+00:00"},{"alias_kind":"arxiv_version","alias_value":"1405.2572v2","created_at":"2026-05-18T02:32:22.304822+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.2572","created_at":"2026-05-18T02:32:22.304822+00:00"},{"alias_kind":"pith_short_12","alias_value":"UXH7ABWM44SO","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_16","alias_value":"UXH7ABWM44SO55LG","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_8","alias_value":"UXH7ABWM","created_at":"2026-05-18T12:28:52.271510+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/UXH7ABWM44SO55LG6IP47FWN4P","json":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P.json","graph_json":"https://pith.science/api/pith-number/UXH7ABWM44SO55LG6IP47FWN4P/graph.json","events_json":"https://pith.science/api/pith-number/UXH7ABWM44SO55LG6IP47FWN4P/events.json","paper":"https://pith.science/paper/UXH7ABWM"},"agent_actions":{"view_html":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P","download_json":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P.json","view_paper":"https://pith.science/paper/UXH7ABWM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1405.2572&json=true","fetch_graph":"https://pith.science/api/pith-number/UXH7ABWM44SO55LG6IP47FWN4P/graph.json","fetch_events":"https://pith.science/api/pith-number/UXH7ABWM44SO55LG6IP47FWN4P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P/action/storage_attestation","attest_author":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P/action/author_attestation","sign_citation":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P/action/citation_signature","submit_replication":"https://pith.science/pith/UXH7ABWM44SO55LG6IP47FWN4P/action/replication_record"}},"created_at":"2026-05-18T02:32:22.304822+00:00","updated_at":"2026-05-18T02:32:22.304822+00:00"}