{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:Z4GOS4GX7OW7TGGMGPLTNHUMDG","short_pith_number":"pith:Z4GOS4GX","canonical_record":{"source":{"id":"1601.08036","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2016-01-29T10:30:18Z","cross_cats_sorted":["physics.ins-det"],"title_canon_sha256":"0785e8d3dc926268545b7a3468c940981d5cf76f27a3a03b77ee53345e3ddb23","abstract_canon_sha256":"342822170fb1a4bb74abd63c7451f3df3285a2a3ed7f4b93057a524a29b2051b"},"schema_version":"1.0"},"canonical_sha256":"cf0ce970d7fbadf998cc33d7369e8c19a7b488108e87ff2d409c3c6d3d3f3142","source":{"kind":"arxiv","id":"1601.08036","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.08036","created_at":"2026-05-18T01:12:19Z"},{"alias_kind":"arxiv_version","alias_value":"1601.08036v1","created_at":"2026-05-18T01:12:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.08036","created_at":"2026-05-18T01:12:19Z"},{"alias_kind":"pith_short_12","alias_value":"Z4GOS4GX7OW7","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"Z4GOS4GX7OW7TGGM","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"Z4GOS4GX","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:Z4GOS4GX7OW7TGGMGPLTNHUMDG","target":"record","payload":{"canonical_record":{"source":{"id":"1601.08036","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2016-01-29T10:30:18Z","cross_cats_sorted":["physics.ins-det"],"title_canon_sha256":"0785e8d3dc926268545b7a3468c940981d5cf76f27a3a03b77ee53345e3ddb23","abstract_canon_sha256":"342822170fb1a4bb74abd63c7451f3df3285a2a3ed7f4b93057a524a29b2051b"},"schema_version":"1.0"},"canonical_sha256":"cf0ce970d7fbadf998cc33d7369e8c19a7b488108e87ff2d409c3c6d3d3f3142","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:19.809070Z","signature_b64":"l9HnnS+guKKilwfjOKgVOvWU4kgWNztyVCkV0RDkGqfzUMBm7Yd3HIkpNalCu1dDfaOYJvJ10eGdY9MB0DM7Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf0ce970d7fbadf998cc33d7369e8c19a7b488108e87ff2d409c3c6d3d3f3142","last_reissued_at":"2026-05-18T01:12:19.808729Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:19.808729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1601.08036","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:12:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8PO50tQrX0UGYFARjqrrokTMtwY9JTa1kexDVQFlwCKivljxP1abWpLLLwmDhNd13IjIAOETqLdBDbXReNunDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:28:41.815348Z"},"content_sha256":"d22fa19a3a25201ef6c97c79527bb574966526b381fc30b10cbe0fb03179f0e2","schema_version":"1.0","event_id":"sha256:d22fa19a3a25201ef6c97c79527bb574966526b381fc30b10cbe0fb03179f0e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:Z4GOS4GX7OW7TGGMGPLTNHUMDG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving PWR core simulations by Monte Carlo uncertainty analysis and Bayesian inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"nucl-th","authors_text":"Axel Hoefer, Carolina Ahnert, Dieter Porsch, Emilio Castro, Nuria Garcia-Herranz, Oliver Buss","submitted_at":"2016-01-29T10:30:18Z","abstract_excerpt":"A Monte Carlo-based Bayesian inference model is applied to the prediction of reactor operation parameters of a PWR nuclear power plant. In this non-perturbative framework, high-dimensional covariance information describing the uncertainty of microscopic nuclear data is combined with measured reactor operation data in order to provide statistically sound, well founded uncertainty estimates of integral parameters, such as the boron letdown curve and the burnup-dependent reactor power distribution. The performance of this methodology is assessed in a blind test approach, where we use measurements"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.08036","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:12:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"opJKTf9BdLlQca/6R3ni7JblBLbFBtJIuyPhEiWpFOi0useeTjFGL8LK3oq9JufJ0WLNhGnFjOtqdromZvdXDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:28:41.815785Z"},"content_sha256":"64b1ed0833e2c3baf4ad56037a4b663c2f89429a3fde56285ed9309fafff66b2","schema_version":"1.0","event_id":"sha256:64b1ed0833e2c3baf4ad56037a4b663c2f89429a3fde56285ed9309fafff66b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z4GOS4GX7OW7TGGMGPLTNHUMDG/bundle.json","state_url":"https://pith.science/pith/Z4GOS4GX7OW7TGGMGPLTNHUMDG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z4GOS4GX7OW7TGGMGPLTNHUMDG/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":"2026-05-28T00:28:41Z","links":{"resolver":"https://pith.science/pith/Z4GOS4GX7OW7TGGMGPLTNHUMDG","bundle":"https://pith.science/pith/Z4GOS4GX7OW7TGGMGPLTNHUMDG/bundle.json","state":"https://pith.science/pith/Z4GOS4GX7OW7TGGMGPLTNHUMDG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z4GOS4GX7OW7TGGMGPLTNHUMDG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:Z4GOS4GX7OW7TGGMGPLTNHUMDG","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":"342822170fb1a4bb74abd63c7451f3df3285a2a3ed7f4b93057a524a29b2051b","cross_cats_sorted":["physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2016-01-29T10:30:18Z","title_canon_sha256":"0785e8d3dc926268545b7a3468c940981d5cf76f27a3a03b77ee53345e3ddb23"},"schema_version":"1.0","source":{"id":"1601.08036","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.08036","created_at":"2026-05-18T01:12:19Z"},{"alias_kind":"arxiv_version","alias_value":"1601.08036v1","created_at":"2026-05-18T01:12:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.08036","created_at":"2026-05-18T01:12:19Z"},{"alias_kind":"pith_short_12","alias_value":"Z4GOS4GX7OW7","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"Z4GOS4GX7OW7TGGM","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"Z4GOS4GX","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:64b1ed0833e2c3baf4ad56037a4b663c2f89429a3fde56285ed9309fafff66b2","target":"graph","created_at":"2026-05-18T01:12:19Z","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"},"paper":{"abstract_excerpt":"A Monte Carlo-based Bayesian inference model is applied to the prediction of reactor operation parameters of a PWR nuclear power plant. In this non-perturbative framework, high-dimensional covariance information describing the uncertainty of microscopic nuclear data is combined with measured reactor operation data in order to provide statistically sound, well founded uncertainty estimates of integral parameters, such as the boron letdown curve and the burnup-dependent reactor power distribution. The performance of this methodology is assessed in a blind test approach, where we use measurements","authors_text":"Axel Hoefer, Carolina Ahnert, Dieter Porsch, Emilio Castro, Nuria Garcia-Herranz, Oliver Buss","cross_cats":["physics.ins-det"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2016-01-29T10:30:18Z","title":"Improving PWR core simulations by Monte Carlo uncertainty analysis and Bayesian inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.08036","kind":"arxiv","version":1},"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:d22fa19a3a25201ef6c97c79527bb574966526b381fc30b10cbe0fb03179f0e2","target":"record","created_at":"2026-05-18T01:12:19Z","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":"342822170fb1a4bb74abd63c7451f3df3285a2a3ed7f4b93057a524a29b2051b","cross_cats_sorted":["physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2016-01-29T10:30:18Z","title_canon_sha256":"0785e8d3dc926268545b7a3468c940981d5cf76f27a3a03b77ee53345e3ddb23"},"schema_version":"1.0","source":{"id":"1601.08036","kind":"arxiv","version":1}},"canonical_sha256":"cf0ce970d7fbadf998cc33d7369e8c19a7b488108e87ff2d409c3c6d3d3f3142","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf0ce970d7fbadf998cc33d7369e8c19a7b488108e87ff2d409c3c6d3d3f3142","first_computed_at":"2026-05-18T01:12:19.808729Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:19.808729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l9HnnS+guKKilwfjOKgVOvWU4kgWNztyVCkV0RDkGqfzUMBm7Yd3HIkpNalCu1dDfaOYJvJ10eGdY9MB0DM7Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:19.809070Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.08036","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d22fa19a3a25201ef6c97c79527bb574966526b381fc30b10cbe0fb03179f0e2","sha256:64b1ed0833e2c3baf4ad56037a4b663c2f89429a3fde56285ed9309fafff66b2"],"state_sha256":"b9bcc017d1117cd62335693970c343aba8eb21b3e76805a93a5cd669b8af5c26"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kyktu9gR/4L34+pPlHIh3cS1G6kqnP6qY88EbQvBntRvWJX71pRbNk4KOcXGVzLtTjUibkwzLah9DpP0IRSMBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T00:28:41.817806Z","bundle_sha256":"0907fd2adce71de3a35198d371c1e798cd0e03c776832b2a6ac04f5788b3dfd9"}}