{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:RJFZBDLQQHDFYWXAE3E3EDDE7Q","short_pith_number":"pith:RJFZBDLQ","canonical_record":{"source":{"id":"2105.14371","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-05-29T20:41:56Z","cross_cats_sorted":[],"title_canon_sha256":"4b4a75a3127821754f78925ea2a64388d09cd9492fa2d1ebef50a03afab6b49c","abstract_canon_sha256":"5e7a238b0ff8bc297f44d254b74e6d912e21d6b096756ae75fbf4357bfcad246"},"schema_version":"1.0"},"canonical_sha256":"8a4b908d7081c65c5ae026c9b20c64fc1273b726fc69f7c9bdaf9cbaab90296b","source":{"kind":"arxiv","id":"2105.14371","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.14371","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"arxiv_version","alias_value":"2105.14371v3","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.14371","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"pith_short_12","alias_value":"RJFZBDLQQHDF","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"pith_short_16","alias_value":"RJFZBDLQQHDFYWXA","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"pith_short_8","alias_value":"RJFZBDLQ","created_at":"2026-07-05T04:48:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:RJFZBDLQQHDFYWXAE3E3EDDE7Q","target":"record","payload":{"canonical_record":{"source":{"id":"2105.14371","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-05-29T20:41:56Z","cross_cats_sorted":[],"title_canon_sha256":"4b4a75a3127821754f78925ea2a64388d09cd9492fa2d1ebef50a03afab6b49c","abstract_canon_sha256":"5e7a238b0ff8bc297f44d254b74e6d912e21d6b096756ae75fbf4357bfcad246"},"schema_version":"1.0"},"canonical_sha256":"8a4b908d7081c65c5ae026c9b20c64fc1273b726fc69f7c9bdaf9cbaab90296b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:48:34.293007Z","signature_b64":"Ntjgo7iKtY4d07s5wtbc8JzjrfYPMWduR0NkfK/O/Fxh1AHOFeWHBfNvhc2Tknf0Z3p9Q4AQr+u5Ag56LkuLBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8a4b908d7081c65c5ae026c9b20c64fc1273b726fc69f7c9bdaf9cbaab90296b","last_reissued_at":"2026-07-05T04:48:34.292552Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:48:34.292552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.14371","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:48:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q8glM+XCaHNp73oUm6RkN36KEO1enbxbRFTBjnOejiCiztseZP31kqh5g63tSRMYllgPr3q+KXMTzkCx6LedAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:08:50.979016Z"},"content_sha256":"c8c3e360feaa23af0b638f1244c3b4630b9dad0e89871b76a1536cce9f988557","schema_version":"1.0","event_id":"sha256:c8c3e360feaa23af0b638f1244c3b4630b9dad0e89871b76a1536cce9f988557"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:RJFZBDLQQHDFYWXAE3E3EDDE7Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-Tuning the Odds in Bayesian Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bahare Salmani, Joost-Pieter Katoen","submitted_at":"2021-05-29T20:41:56Z","abstract_excerpt":"This paper proposes various new analysis techniques for Bayes networks in which conditional probability tables (CPTs) may contain symbolic variables. The key idea is to exploit scalable and powerful techniques for synthesis problems in parametric Markov chains. Our techniques are applicable to arbitrarily many, possibly dependent parameters that may occur in various CPTs. This lifts the severe restrictions on parameters, e.g., by restricting the number of parametrized CPTs to one or two, or by avoiding parameter dependencies between several CPTs, in existing works for parametric Bayes networks"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.14371","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2105.14371/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:48:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UkGSRDkh6WA5rSko3RukWCVwpqKKSQxFLsJyiePxGLGsIo6FT2+S0UTIn5EcNi89SNIMbELpY2eG0eEyb077BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:08:50.979526Z"},"content_sha256":"6e3ec8655f3568c7a4eb5efe6c5e60bbb55678583d701a0125022b338b8c3540","schema_version":"1.0","event_id":"sha256:6e3ec8655f3568c7a4eb5efe6c5e60bbb55678583d701a0125022b338b8c3540"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RJFZBDLQQHDFYWXAE3E3EDDE7Q/bundle.json","state_url":"https://pith.science/pith/RJFZBDLQQHDFYWXAE3E3EDDE7Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RJFZBDLQQHDFYWXAE3E3EDDE7Q/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T17:08:50Z","links":{"resolver":"https://pith.science/pith/RJFZBDLQQHDFYWXAE3E3EDDE7Q","bundle":"https://pith.science/pith/RJFZBDLQQHDFYWXAE3E3EDDE7Q/bundle.json","state":"https://pith.science/pith/RJFZBDLQQHDFYWXAE3E3EDDE7Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RJFZBDLQQHDFYWXAE3E3EDDE7Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RJFZBDLQQHDFYWXAE3E3EDDE7Q","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":"5e7a238b0ff8bc297f44d254b74e6d912e21d6b096756ae75fbf4357bfcad246","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-05-29T20:41:56Z","title_canon_sha256":"4b4a75a3127821754f78925ea2a64388d09cd9492fa2d1ebef50a03afab6b49c"},"schema_version":"1.0","source":{"id":"2105.14371","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.14371","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"arxiv_version","alias_value":"2105.14371v3","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.14371","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"pith_short_12","alias_value":"RJFZBDLQQHDF","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"pith_short_16","alias_value":"RJFZBDLQQHDFYWXA","created_at":"2026-07-05T04:48:34Z"},{"alias_kind":"pith_short_8","alias_value":"RJFZBDLQ","created_at":"2026-07-05T04:48:34Z"}],"graph_snapshots":[{"event_id":"sha256:6e3ec8655f3568c7a4eb5efe6c5e60bbb55678583d701a0125022b338b8c3540","target":"graph","created_at":"2026-07-05T04:48:34Z","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/2105.14371/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes various new analysis techniques for Bayes networks in which conditional probability tables (CPTs) may contain symbolic variables. The key idea is to exploit scalable and powerful techniques for synthesis problems in parametric Markov chains. Our techniques are applicable to arbitrarily many, possibly dependent parameters that may occur in various CPTs. This lifts the severe restrictions on parameters, e.g., by restricting the number of parametrized CPTs to one or two, or by avoiding parameter dependencies between several CPTs, in existing works for parametric Bayes networks","authors_text":"Bahare Salmani, Joost-Pieter Katoen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-05-29T20:41:56Z","title":"Fine-Tuning the Odds in Bayesian Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.14371","kind":"arxiv","version":3},"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:c8c3e360feaa23af0b638f1244c3b4630b9dad0e89871b76a1536cce9f988557","target":"record","created_at":"2026-07-05T04:48:34Z","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":"5e7a238b0ff8bc297f44d254b74e6d912e21d6b096756ae75fbf4357bfcad246","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-05-29T20:41:56Z","title_canon_sha256":"4b4a75a3127821754f78925ea2a64388d09cd9492fa2d1ebef50a03afab6b49c"},"schema_version":"1.0","source":{"id":"2105.14371","kind":"arxiv","version":3}},"canonical_sha256":"8a4b908d7081c65c5ae026c9b20c64fc1273b726fc69f7c9bdaf9cbaab90296b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a4b908d7081c65c5ae026c9b20c64fc1273b726fc69f7c9bdaf9cbaab90296b","first_computed_at":"2026-07-05T04:48:34.292552Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:48:34.292552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ntjgo7iKtY4d07s5wtbc8JzjrfYPMWduR0NkfK/O/Fxh1AHOFeWHBfNvhc2Tknf0Z3p9Q4AQr+u5Ag56LkuLBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:48:34.293007Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.14371","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8c3e360feaa23af0b638f1244c3b4630b9dad0e89871b76a1536cce9f988557","sha256:6e3ec8655f3568c7a4eb5efe6c5e60bbb55678583d701a0125022b338b8c3540"],"state_sha256":"d6d279095c2f80aad208ef67169c31370b5e8ce9bb6f8812091551853abc6ffc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xe8dswsJYRcLm11lfsUqx2d6ki/rvXlsoFAKsvMrOcCQWrz0h0dC5N5uCNZAeW6TSveQksilVFPsnU0Nimb1Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:08:50.984311Z","bundle_sha256":"281d96e80f023ab21b1a426c665ab830ea2e7a3abaeba4e0e754ac7b4f0dcff5"}}