{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LOPTDBTKGBTQWCB66SPU2Y6FSA","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":"bdf34e8f8fac76b3a73e236676bd9bc5bd83ccfb9c2ca5414e0af182b2003e67","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T06:10:09Z","title_canon_sha256":"6ba2e8301dd04045da0a588596c687661cc999760948162b0dbd06116a58c0fc"},"schema_version":"1.0","source":{"id":"2502.09658","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09658","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09658v1","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09658","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_12","alias_value":"LOPTDBTKGBTQ","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_16","alias_value":"LOPTDBTKGBTQWCB6","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_8","alias_value":"LOPTDBTK","created_at":"2026-07-05T10:14:10Z"}],"graph_snapshots":[{"event_id":"sha256:e4140745dc02725a81e2a24c5f949aedaf73e78244d09468692fac391502b893","target":"graph","created_at":"2026-07-05T10:14:10Z","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/2502.09658/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge representation and reasoning are critical challenges in Artificial Intelligence (AI), particularly in integrating neural and symbolic approaches to achieve explainable and transparent AI systems. Traditional knowledge representation methods often fall short of capturing complex processes and state changes. We introduce Neuro-Conceptual Artificial Intelligence (NCAI), a specialization of the neuro-symbolic AI approach that integrates conceptual modeling using Object-Process Methodology (OPM) ISO 19450:2024 with deep learning to enhance question-answering (QA) quality. By converting na","authors_text":"Dov Dori, Veronika Shteingardt, Xin Kang, Yuhan Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T06:10:09Z","title":"Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09658","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":"sha256:431a8d78f124bb59f7fe182a7799734b8e9e7fa79a696e1b05e09eb4045ae756","target":"record","created_at":"2026-07-05T10:14:10Z","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":"bdf34e8f8fac76b3a73e236676bd9bc5bd83ccfb9c2ca5414e0af182b2003e67","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T06:10:09Z","title_canon_sha256":"6ba2e8301dd04045da0a588596c687661cc999760948162b0dbd06116a58c0fc"},"schema_version":"1.0","source":{"id":"2502.09658","kind":"arxiv","version":1}},"canonical_sha256":"5b9f31866a30670b083ef49f4d63c59009aef90558c9c01f239529176f726417","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b9f31866a30670b083ef49f4d63c59009aef90558c9c01f239529176f726417","first_computed_at":"2026-07-05T10:14:10.013845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:10.013845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EDbc79NfOQRrGU40bgVjwawnVS3HgL2C77qvZas51wb7QgFog1euO5lmlUgvM6AaTn7qFyC3vrBMvqOD2XE9Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:10.014442Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.09658","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:431a8d78f124bb59f7fe182a7799734b8e9e7fa79a696e1b05e09eb4045ae756","sha256:e4140745dc02725a81e2a24c5f949aedaf73e78244d09468692fac391502b893"],"state_sha256":"d3d59b3b0a627193e935e5efa893863e2f0b335ece7966507a3be3d0e276ef01"}