{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IPCPHDCSWQWEJV7LXLFQQL6QBV","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":"ceaa0ecc5cf828920f89afbe4cc892aa9f80c09d6a36f8db967ced3b294b5fbd","cross_cats_sorted":["cs.LO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T11:31:44Z","title_canon_sha256":"b4ceca505ced365beefdff6b19141d94f7303d42f266142ca86f053ca79ab3de"},"schema_version":"1.0","source":{"id":"2412.10484","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10484","created_at":"2026-07-05T09:49:16Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10484v1","created_at":"2026-07-05T09:49:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10484","created_at":"2026-07-05T09:49:16Z"},{"alias_kind":"pith_short_12","alias_value":"IPCPHDCSWQWE","created_at":"2026-07-05T09:49:16Z"},{"alias_kind":"pith_short_16","alias_value":"IPCPHDCSWQWEJV7L","created_at":"2026-07-05T09:49:16Z"},{"alias_kind":"pith_short_8","alias_value":"IPCPHDCS","created_at":"2026-07-05T09:49:16Z"}],"graph_snapshots":[{"event_id":"sha256:834d83eed20adbc4eeb59b1d4c9d5a69155260eeba66a14ec248f999be5d5ef5","target":"graph","created_at":"2026-07-05T09:49:16Z","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/2412.10484/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Fussell-Vesely Importance (FV) reflects the potential impact of a basic event on system failure, and is crucial for ensuring system reliability. However, traditional methods for calculating FV importance are complex and time-consuming, requiring the construction of fault trees and the calculation of minimal cut set. To address these limitations, this study proposes a hybrid real-time framework to evaluate the FV importance of basic events. Our framework combines expert knowledge with a data-driven model. First, we use Interpretive Structural Modeling (ISM) to build a virtual fault tree tha","authors_text":"Peng Chen, Xingyu Xiao","cross_cats":["cs.LO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T11:31:44Z","title":"A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10484","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":"sha256:2481a81f1089215ba82edc4d90f69800bbaa7f6befe596118626271afc781ae6","target":"record","created_at":"2026-07-05T09:49:16Z","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":"ceaa0ecc5cf828920f89afbe4cc892aa9f80c09d6a36f8db967ced3b294b5fbd","cross_cats_sorted":["cs.LO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T11:31:44Z","title_canon_sha256":"b4ceca505ced365beefdff6b19141d94f7303d42f266142ca86f053ca79ab3de"},"schema_version":"1.0","source":{"id":"2412.10484","kind":"arxiv","version":1}},"canonical_sha256":"43c4f38c52b42c44d7ebbacb082fd00d71ce65f2927b4c1c408bbe9a6abae57d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43c4f38c52b42c44d7ebbacb082fd00d71ce65f2927b4c1c408bbe9a6abae57d","first_computed_at":"2026-07-05T09:49:16.733160Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:16.733160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0rkeFCrbGM4AAGplCioObd50eWBl1a+bc0bnxuSqZhnuqMjxD6r0O/uNWgt5SnsUAYGowdEKWU814jROY5n6Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:16.733584Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10484","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2481a81f1089215ba82edc4d90f69800bbaa7f6befe596118626271afc781ae6","sha256:834d83eed20adbc4eeb59b1d4c9d5a69155260eeba66a14ec248f999be5d5ef5"],"state_sha256":"95d19e0af2b5c2f077738be26d0defcac87a14c1136c074cd9a18af5ba951268"}