{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FD3I7QS7VIMXRDXSF2GVXORSGA","short_pith_number":"pith:FD3I7QS7","canonical_record":{"source":{"id":"2210.15889","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-28T04:38:10Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"11f67eb0780511db4bb20e0f3795ba89379507382a0ab4efcdca226e228bd84d","abstract_canon_sha256":"00fa46222fca0f0daf5299b5d20f1024da18a4a83f531768158c313b5e0924db"},"schema_version":"1.0"},"canonical_sha256":"28f68fc25faa19788ef22e8d5bba32300a64a0b1e477e5a0497ec2395055c11c","source":{"kind":"arxiv","id":"2210.15889","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15889","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15889v5","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15889","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"pith_short_12","alias_value":"FD3I7QS7VIMX","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"pith_short_16","alias_value":"FD3I7QS7VIMXRDXS","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"pith_short_8","alias_value":"FD3I7QS7","created_at":"2026-07-05T09:15:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FD3I7QS7VIMXRDXSF2GVXORSGA","target":"record","payload":{"canonical_record":{"source":{"id":"2210.15889","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-28T04:38:10Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"11f67eb0780511db4bb20e0f3795ba89379507382a0ab4efcdca226e228bd84d","abstract_canon_sha256":"00fa46222fca0f0daf5299b5d20f1024da18a4a83f531768158c313b5e0924db"},"schema_version":"1.0"},"canonical_sha256":"28f68fc25faa19788ef22e8d5bba32300a64a0b1e477e5a0497ec2395055c11c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:15:05.582415Z","signature_b64":"t9C8T8Ef3voW2Nzuz+FQQyL0nunB0dSlE+KB+Ki0U3bpfItUuObJ4IVWlGJYAgxAIKn/eKLRD1c1ANk4SyEMAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28f68fc25faa19788ef22e8d5bba32300a64a0b1e477e5a0497ec2395055c11c","last_reissued_at":"2026-07-05T09:15:05.581927Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:15:05.581927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.15889","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:15:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"akIDVKABi01xpzfJnoKz7+KN84qlTraVfyUarWtfdMHF1RQ8iyIbA0GlktshlGQ9I2Pnf6CuwZrIbN4JC6CsDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:32:30.008483Z"},"content_sha256":"8aadb6f3a03d84e08bde207942b9cdb2bc88d8b543e9ec6ad53b8bd4779b5c43","schema_version":"1.0","event_id":"sha256:8aadb6f3a03d84e08bde207942b9cdb2bc88d8b543e9ec6ad53b8bd4779b5c43"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FD3I7QS7VIMXRDXSF2GVXORSGA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Fei Wu, Wenguan Wang, Yi Yang","submitted_at":"2022-10-28T04:38:10Z","abstract_excerpt":"Neural-symbolic computing (NeSy), which pursues the integration of the symbolic and statistical paradigms of cognition, has been an active research area of Artificial Intelligence (AI) for many years. As NeSy shows promise of reconciling the advantages of reasoning and interpretability of symbolic representation and robust learning in neural networks, it may serve as a catalyst for the next generation of AI. In the present paper, we provide a systematic overview of the recent developments and important contributions of NeSy research. Firstly, we introduce study history of this area, covering e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15889","kind":"arxiv","version":5},"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/2210.15889/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":"2026-07-05T09:15:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DFB62Ta2A5UN4dOhjwdPGk0M3O7NMg1zK+xp+wGGMoN4dt+hpPPzmmyOWG3+uGteaEbUXeSTP5JeHj+B3GRDBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:32:30.009418Z"},"content_sha256":"bca67c0839bfb1e6b476286a638ba6639fdb8dca6b5910975118013877c5af4c","schema_version":"1.0","event_id":"sha256:bca67c0839bfb1e6b476286a638ba6639fdb8dca6b5910975118013877c5af4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FD3I7QS7VIMXRDXSF2GVXORSGA/bundle.json","state_url":"https://pith.science/pith/FD3I7QS7VIMXRDXSF2GVXORSGA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FD3I7QS7VIMXRDXSF2GVXORSGA/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":"2026-08-08T21:32:30Z","links":{"resolver":"https://pith.science/pith/FD3I7QS7VIMXRDXSF2GVXORSGA","bundle":"https://pith.science/pith/FD3I7QS7VIMXRDXSF2GVXORSGA/bundle.json","state":"https://pith.science/pith/FD3I7QS7VIMXRDXSF2GVXORSGA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FD3I7QS7VIMXRDXSF2GVXORSGA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FD3I7QS7VIMXRDXSF2GVXORSGA","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":"00fa46222fca0f0daf5299b5d20f1024da18a4a83f531768158c313b5e0924db","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-28T04:38:10Z","title_canon_sha256":"11f67eb0780511db4bb20e0f3795ba89379507382a0ab4efcdca226e228bd84d"},"schema_version":"1.0","source":{"id":"2210.15889","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15889","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15889v5","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15889","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"pith_short_12","alias_value":"FD3I7QS7VIMX","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"pith_short_16","alias_value":"FD3I7QS7VIMXRDXS","created_at":"2026-07-05T09:15:05Z"},{"alias_kind":"pith_short_8","alias_value":"FD3I7QS7","created_at":"2026-07-05T09:15:05Z"}],"graph_snapshots":[{"event_id":"sha256:bca67c0839bfb1e6b476286a638ba6639fdb8dca6b5910975118013877c5af4c","target":"graph","created_at":"2026-07-05T09:15:05Z","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/2210.15889/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural-symbolic computing (NeSy), which pursues the integration of the symbolic and statistical paradigms of cognition, has been an active research area of Artificial Intelligence (AI) for many years. As NeSy shows promise of reconciling the advantages of reasoning and interpretability of symbolic representation and robust learning in neural networks, it may serve as a catalyst for the next generation of AI. In the present paper, we provide a systematic overview of the recent developments and important contributions of NeSy research. Firstly, we introduce study history of this area, covering e","authors_text":"Fei Wu, Wenguan Wang, Yi Yang","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-28T04:38:10Z","title":"Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15889","kind":"arxiv","version":5},"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":"sha256:8aadb6f3a03d84e08bde207942b9cdb2bc88d8b543e9ec6ad53b8bd4779b5c43","target":"record","created_at":"2026-07-05T09:15:05Z","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":"00fa46222fca0f0daf5299b5d20f1024da18a4a83f531768158c313b5e0924db","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-28T04:38:10Z","title_canon_sha256":"11f67eb0780511db4bb20e0f3795ba89379507382a0ab4efcdca226e228bd84d"},"schema_version":"1.0","source":{"id":"2210.15889","kind":"arxiv","version":5}},"canonical_sha256":"28f68fc25faa19788ef22e8d5bba32300a64a0b1e477e5a0497ec2395055c11c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"28f68fc25faa19788ef22e8d5bba32300a64a0b1e477e5a0497ec2395055c11c","first_computed_at":"2026-07-05T09:15:05.581927Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:05.581927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t9C8T8Ef3voW2Nzuz+FQQyL0nunB0dSlE+KB+Ki0U3bpfItUuObJ4IVWlGJYAgxAIKn/eKLRD1c1ANk4SyEMAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:05.582415Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.15889","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8aadb6f3a03d84e08bde207942b9cdb2bc88d8b543e9ec6ad53b8bd4779b5c43","sha256:bca67c0839bfb1e6b476286a638ba6639fdb8dca6b5910975118013877c5af4c"],"state_sha256":"724177b74c4de62754c9642513be5c65ef02e4cb4dbb060380a96b69ed9905fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xHFEz7v7KahGeDjVW86JrceGc4D/Q3KNgzyKZFKoujawqkAK/7aVQotXstWiAih5yFVPsu45TzQJWTApo1D6Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:32:30.015297Z","bundle_sha256":"b4f6e12956f29bd8b4ac91b55c786defcdaff9bbaf1349eca53fcdd16e28d529"}}