{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AXR7QRXFHBMHRVBCIB3V77VGR6","short_pith_number":"pith:AXR7QRXF","canonical_record":{"source":{"id":"2503.07096","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-10T09:20:38Z","cross_cats_sorted":[],"title_canon_sha256":"705a27f521ce1ff1ebe3fc45d68c208876ed08a3c480082b2c8e81fbf9020360","abstract_canon_sha256":"a97ca5b30013c5cd72a8a0293656a8d0362fac5ecee2860939e9ab6520f2b811"},"schema_version":"1.0"},"canonical_sha256":"05e3f846e5385878d42240775ffea68fbf9798b78bad0f6dbc696170289e9131","source":{"kind":"arxiv","id":"2503.07096","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.07096","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"arxiv_version","alias_value":"2503.07096v1","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07096","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"pith_short_12","alias_value":"AXR7QRXFHBMH","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"AXR7QRXFHBMHRVBC","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"AXR7QRXF","created_at":"2026-07-05T10:27:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AXR7QRXFHBMHRVBCIB3V77VGR6","target":"record","payload":{"canonical_record":{"source":{"id":"2503.07096","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-10T09:20:38Z","cross_cats_sorted":[],"title_canon_sha256":"705a27f521ce1ff1ebe3fc45d68c208876ed08a3c480082b2c8e81fbf9020360","abstract_canon_sha256":"a97ca5b30013c5cd72a8a0293656a8d0362fac5ecee2860939e9ab6520f2b811"},"schema_version":"1.0"},"canonical_sha256":"05e3f846e5385878d42240775ffea68fbf9798b78bad0f6dbc696170289e9131","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:49.701843Z","signature_b64":"dICatOKDJO/BhL1Cku+l90tX7+ZCf7kaI57pn4Y0VAcvPVn89HIRuV7SgbLtNebemNoyyVEPbPq1ez7olEd7Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05e3f846e5385878d42240775ffea68fbf9798b78bad0f6dbc696170289e9131","last_reissued_at":"2026-07-05T10:27:49.701044Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:49.701044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.07096","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":"2026-07-05T10:27:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X1OVFtxotm+PFnCPZk6DxoDyBi3kd8sk454lrV4nFcwElIGNPNNhNVfiBMA2vnwDTrTS9ggj/Y146/5/I/PvDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T06:54:20.313434Z"},"content_sha256":"761e34ce3faa3d2c9669e4b5bb18c06d001b4ff9fd70fbd3eef9e7c8d9b82403","schema_version":"1.0","event_id":"sha256:761e34ce3faa3d2c9669e4b5bb18c06d001b4ff9fd70fbd3eef9e7c8d9b82403"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AXR7QRXFHBMHRVBCIB3V77VGR6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Correctness Learning: Deductive Verification Guided Learning for Human-AI Collaboration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Kai Zheng, Lu Jin, Mingliang Xu, Shuo Feng, Xinde Yu, Yizhe Luo, Yucheng Shi, Zhao Jin","submitted_at":"2025-03-10T09:20:38Z","abstract_excerpt":"Despite significant progress in AI and decision-making technologies in safety-critical fields, challenges remain in verifying the correctness of decision output schemes and verification-result driven design. We propose correctness learning (CL) to enhance human-AI collaboration integrating deductive verification methods and insights from historical high-quality schemes. The typical pattern hidden in historical high-quality schemes, such as change of task priorities in shared resources, provides critical guidance for intelligent agents in learning and decision-making. By utilizing deductive ver"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07096","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.07096/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T10:27:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eJn9vFVbnLizAtSjJPWJPssMw1C7HDbPKT1Jw/mMAu7HTmC5Qnh627p3PETii3Px8BmWRGydjfU43bwVpBLRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T06:54:20.313809Z"},"content_sha256":"ad80f1781dac169d83585236477630b8aab46ff8baec3e079b1cf03615f5b87f","schema_version":"1.0","event_id":"sha256:ad80f1781dac169d83585236477630b8aab46ff8baec3e079b1cf03615f5b87f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AXR7QRXFHBMHRVBCIB3V77VGR6/bundle.json","state_url":"https://pith.science/pith/AXR7QRXFHBMHRVBCIB3V77VGR6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AXR7QRXFHBMHRVBCIB3V77VGR6/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":"2026-07-06T06:54:20Z","links":{"resolver":"https://pith.science/pith/AXR7QRXFHBMHRVBCIB3V77VGR6","bundle":"https://pith.science/pith/AXR7QRXFHBMHRVBCIB3V77VGR6/bundle.json","state":"https://pith.science/pith/AXR7QRXFHBMHRVBCIB3V77VGR6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AXR7QRXFHBMHRVBCIB3V77VGR6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AXR7QRXFHBMHRVBCIB3V77VGR6","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":"a97ca5b30013c5cd72a8a0293656a8d0362fac5ecee2860939e9ab6520f2b811","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-10T09:20:38Z","title_canon_sha256":"705a27f521ce1ff1ebe3fc45d68c208876ed08a3c480082b2c8e81fbf9020360"},"schema_version":"1.0","source":{"id":"2503.07096","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.07096","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"arxiv_version","alias_value":"2503.07096v1","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07096","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"pith_short_12","alias_value":"AXR7QRXFHBMH","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"AXR7QRXFHBMHRVBC","created_at":"2026-07-05T10:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"AXR7QRXF","created_at":"2026-07-05T10:27:49Z"}],"graph_snapshots":[{"event_id":"sha256:ad80f1781dac169d83585236477630b8aab46ff8baec3e079b1cf03615f5b87f","target":"graph","created_at":"2026-07-05T10:27:49Z","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/2503.07096/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite significant progress in AI and decision-making technologies in safety-critical fields, challenges remain in verifying the correctness of decision output schemes and verification-result driven design. We propose correctness learning (CL) to enhance human-AI collaboration integrating deductive verification methods and insights from historical high-quality schemes. The typical pattern hidden in historical high-quality schemes, such as change of task priorities in shared resources, provides critical guidance for intelligent agents in learning and decision-making. By utilizing deductive ver","authors_text":"Kai Zheng, Lu Jin, Mingliang Xu, Shuo Feng, Xinde Yu, Yizhe Luo, Yucheng Shi, Zhao Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-10T09:20:38Z","title":"Correctness Learning: Deductive Verification Guided Learning for Human-AI Collaboration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07096","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":"sha256:761e34ce3faa3d2c9669e4b5bb18c06d001b4ff9fd70fbd3eef9e7c8d9b82403","target":"record","created_at":"2026-07-05T10:27:49Z","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":"a97ca5b30013c5cd72a8a0293656a8d0362fac5ecee2860939e9ab6520f2b811","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-03-10T09:20:38Z","title_canon_sha256":"705a27f521ce1ff1ebe3fc45d68c208876ed08a3c480082b2c8e81fbf9020360"},"schema_version":"1.0","source":{"id":"2503.07096","kind":"arxiv","version":1}},"canonical_sha256":"05e3f846e5385878d42240775ffea68fbf9798b78bad0f6dbc696170289e9131","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05e3f846e5385878d42240775ffea68fbf9798b78bad0f6dbc696170289e9131","first_computed_at":"2026-07-05T10:27:49.701044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:49.701044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dICatOKDJO/BhL1Cku+l90tX7+ZCf7kaI57pn4Y0VAcvPVn89HIRuV7SgbLtNebemNoyyVEPbPq1ez7olEd7Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:49.701843Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.07096","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:761e34ce3faa3d2c9669e4b5bb18c06d001b4ff9fd70fbd3eef9e7c8d9b82403","sha256:ad80f1781dac169d83585236477630b8aab46ff8baec3e079b1cf03615f5b87f"],"state_sha256":"70061364398eb2b353609d5bd7be3d3ede061300e57dd6dd407cf8ced649da57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BQE7U3759GH7zTUCjnXO0mAUforhvEsx2qC82FehoyA3X8+RlNrexqk4LUQhqVMYjhvJVGQeQbg5n/WNegoOCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T06:54:20.316003Z","bundle_sha256":"4aeee4dab93680d0296af8469f0d43d3966ed65f81203f6d2618773077cfd8e0"}}