{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2OVLMMVHHEON4CPZZYFRBLPFZK","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cc6bfc0f7945e6498b5bfc2bf19a4bb562e014bde992525e60847557395d74c4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-28T19:49:42Z","title_canon_sha256":"746807d6e1dfb6118e520c11912a892d0ff535932b3c68d5a2a6adedbe2d4033"},"schema_version":"1.0","source":{"id":"2607.26220","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.26220","created_at":"2026-07-30T01:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"2607.26220v1","created_at":"2026-07-30T01:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.26220","created_at":"2026-07-30T01:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"2OVLMMVHHEON","created_at":"2026-07-30T01:17:44Z"},{"alias_kind":"pith_short_16","alias_value":"2OVLMMVHHEON4CPZ","created_at":"2026-07-30T01:17:44Z"},{"alias_kind":"pith_short_8","alias_value":"2OVLMMVH","created_at":"2026-07-30T01:17:44Z"}],"graph_snapshots":[{"event_id":"sha256:d87a92dd24306cf0273d329b453ee4ffd3da55e67d1490619158cf9ac444093a","target":"graph","created_at":"2026-07-30T01:17:44Z","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/2607.26220/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Context: Large Language Models (LLMs) offer natural-language flexibility for automated requirements elicitation but frequently generate structurally invalid requirements and logical inconsistencies, lacking formal correctness guarantees.\n  Objectives: This study aims to eliminate logical inconsistencies and enforce structural conformance in LLM-generated requirements while quantifying the LLM's pre-validation decision uncertainty within a formal domain model.\n  Methods: We present a neuro-symbolic multi-agent architecture that operationalizes the Object-Oriented Method for Requirements Authori","authors_text":"Ahmed Ibrahim","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-28T19:49:42Z","title":"Model-Driven Requirements Configuration with Three-Valued Uncertainty Scoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.26220","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:c79eff327672b0e10f0e0253e066f69d157ba94637f9595ed27440c288a67387","target":"record","created_at":"2026-07-30T01:17:44Z","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":"cc6bfc0f7945e6498b5bfc2bf19a4bb562e014bde992525e60847557395d74c4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-28T19:49:42Z","title_canon_sha256":"746807d6e1dfb6118e520c11912a892d0ff535932b3c68d5a2a6adedbe2d4033"},"schema_version":"1.0","source":{"id":"2607.26220","kind":"arxiv","version":1}},"canonical_sha256":"d3aab632a7391cde09f9ce0b10ade5cabd8e53704b11e385418236ad833efe2f","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3aab632a7391cde09f9ce0b10ade5cabd8e53704b11e385418236ad833efe2f","first_computed_at":"2026-07-30T01:17:44.542462Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:17:44.542462Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.26220","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c79eff327672b0e10f0e0253e066f69d157ba94637f9595ed27440c288a67387","sha256:d87a92dd24306cf0273d329b453ee4ffd3da55e67d1490619158cf9ac444093a","sha256:5a7505d85bc4f7fc772d820d8ddbb9a7ac8d6240a9b7c9e8a0fac2ea64a07b63"],"state_sha256":"53d982a8bf2d28d1eb10f21a2f2faf05b464d9d4ffa8afb962734c7244a1f409"}