{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SF6T4ACBXTS64ETGBECR3UQICJ","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":"3233eba82bdb5ddf140c5af4697129df0c5e94fb2d3185d0d21032980252d93d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-10T08:28:46Z","title_canon_sha256":"1556d8c6f3634b3580e76329996f9b48e5816867bcf61d9be5d6cb27aaccc1a9"},"schema_version":"1.0","source":{"id":"2507.07532","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07532","created_at":"2026-06-23T01:12:46Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07532v4","created_at":"2026-06-23T01:12:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07532","created_at":"2026-06-23T01:12:46Z"},{"alias_kind":"pith_short_12","alias_value":"SF6T4ACBXTS6","created_at":"2026-06-23T01:12:46Z"},{"alias_kind":"pith_short_16","alias_value":"SF6T4ACBXTS64ETG","created_at":"2026-06-23T01:12:46Z"},{"alias_kind":"pith_short_8","alias_value":"SF6T4ACB","created_at":"2026-06-23T01:12:46Z"}],"graph_snapshots":[{"event_id":"sha256:1121d72f6a71cccbe30c79ddd086df2bffe7f51a0b865803917cf9fdeb62f74b","target":"graph","created_at":"2026-06-23T01:12:46Z","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/2507.07532/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Prover-Verifier Games (PVGs) offer a promising path toward verifiability in nonlinear classification models, they have not yet been applied to complex inputs such as high-dimensional images. Conversely, expressive concept encodings effectively allow to translate such data into interpretable concepts but are often utilised in the context of low-capacity linear predictors. In this work, we push towards real-world verifiability by combining the strengths of both approaches. We introduce Neural Concept Verifier (NCV), a unified framework combining PVGs for formal verifiability with concept e","authors_text":"Berkant Turan, David Steinmann, Kristian Kersting, Sebastian Pokutta, Suhrab Asadulla, Wolfgang Stammer","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-10T08:28:46Z","title":"Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07532","kind":"arxiv","version":4},"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:e8246dea01a3d888b4d7080edc1336b58a41f98cc48657c88f7b118af09f4cc7","target":"record","created_at":"2026-06-23T01:12:46Z","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":"3233eba82bdb5ddf140c5af4697129df0c5e94fb2d3185d0d21032980252d93d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-10T08:28:46Z","title_canon_sha256":"1556d8c6f3634b3580e76329996f9b48e5816867bcf61d9be5d6cb27aaccc1a9"},"schema_version":"1.0","source":{"id":"2507.07532","kind":"arxiv","version":4}},"canonical_sha256":"917d3e0041bce5ee126609051dd208127064176b7d0cd160a284b24c6d0fa64d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"917d3e0041bce5ee126609051dd208127064176b7d0cd160a284b24c6d0fa64d","first_computed_at":"2026-06-23T01:12:46.320705Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:12:46.320705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g+qiulLmSwO+EZ05NppgXvAu6KFu2rfBW/2EgcsgHBb49FLTaOHi+/B7hj9Q02wokGC578HuKYZSLUMMAkL0Aw==","signature_status":"signed_v1","signed_at":"2026-06-23T01:12:46.321288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07532","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8246dea01a3d888b4d7080edc1336b58a41f98cc48657c88f7b118af09f4cc7","sha256:1121d72f6a71cccbe30c79ddd086df2bffe7f51a0b865803917cf9fdeb62f74b"],"state_sha256":"82816b47403a4bac363a24ace8f9943ae87704357950fdb71d8212b06c8e17bd"}