{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3FUCQDT7YLCZTALJAVRYD25KIS","short_pith_number":"pith:3FUCQDT7","canonical_record":{"source":{"id":"2307.05036","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-07-11T06:29:31Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"4764fe8a373a16b974ffbfe9de017b832ff4c2518309408a769ddbe8d87bd418","abstract_canon_sha256":"a700f8857bed4992158dc0adae0635175c82b2c6a4a27bcbb322c904e7fc60d3"},"schema_version":"1.0"},"canonical_sha256":"d968280e7fc2c5998169056381ebaa4485276584fc0d7c56d83f2923afa5ae61","source":{"kind":"arxiv","id":"2307.05036","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.05036","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"arxiv_version","alias_value":"2307.05036v1","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.05036","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"pith_short_12","alias_value":"3FUCQDT7YLCZ","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"3FUCQDT7YLCZTALJ","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"3FUCQDT7","created_at":"2026-07-05T06:29:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3FUCQDT7YLCZTALJAVRYD25KIS","target":"record","payload":{"canonical_record":{"source":{"id":"2307.05036","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-07-11T06:29:31Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"4764fe8a373a16b974ffbfe9de017b832ff4c2518309408a769ddbe8d87bd418","abstract_canon_sha256":"a700f8857bed4992158dc0adae0635175c82b2c6a4a27bcbb322c904e7fc60d3"},"schema_version":"1.0"},"canonical_sha256":"d968280e7fc2c5998169056381ebaa4485276584fc0d7c56d83f2923afa5ae61","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:29:25.195963Z","signature_b64":"Jwqi1AMW6dEu6+32vz6MI7rGOMW+8VRSdDzvyn09Qosf6+D9LTPebtbWFSZbt38loyixvg44EgZ/Z+Y718+eBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d968280e7fc2c5998169056381ebaa4485276584fc0d7c56d83f2923afa5ae61","last_reissued_at":"2026-07-05T06:29:25.195549Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:29:25.195549Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.05036","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":"2026-07-05T06:29:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VB/m0mWaw7zKblwoxoDnT0y8ftm1abiFIu9Xb66vI91qSG64vBxEyyw1eI5Er1RwKBPPAhY2NE1kII290B+dDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T17:23:10.260198Z"},"content_sha256":"7766ad558a29377f50b443c67ac3b590b8f2d1563d989c4de3b1c6273a89086c","schema_version":"1.0","event_id":"sha256:7766ad558a29377f50b443c67ac3b590b8f2d1563d989c4de3b1c6273a89086c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3FUCQDT7YLCZTALJAVRYD25KIS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural-Symbolic Recommendation with Graph-Enhanced Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.AI","authors_text":"Bang Chen, Bo Zheng, Maonian Wu, Shaojun Zhu, Wei Peng","submitted_at":"2023-07-11T06:29:31Z","abstract_excerpt":"The recommendation system is not only a problem of inductive statistics from data but also a cognitive task that requires reasoning ability. The most advanced graph neural networks have been widely used in recommendation systems because they can capture implicit structured information from graph-structured data. However, like most neural network algorithms, they only learn matching patterns from a perception perspective. Some researchers use user behavior for logic reasoning to achieve recommendation prediction from the perspective of cognitive reasoning, but this kind of reasoning is a local "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.05036","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/2307.05036/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":"2026-07-05T06:29:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fygv/sByC0s8xPTk69EOnY2wVFZx0W28cvwSe0ldamXcnWFtA0PsAwMug9/dmBibPpH5Pw5RihpAyKRQ3HlcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T17:23:10.260584Z"},"content_sha256":"3826d36311503fed992e05309af66208a5ff011a35abc207d06f39f45906f287","schema_version":"1.0","event_id":"sha256:3826d36311503fed992e05309af66208a5ff011a35abc207d06f39f45906f287"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3FUCQDT7YLCZTALJAVRYD25KIS/bundle.json","state_url":"https://pith.science/pith/3FUCQDT7YLCZTALJAVRYD25KIS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3FUCQDT7YLCZTALJAVRYD25KIS/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":"2026-07-13T17:23:10Z","links":{"resolver":"https://pith.science/pith/3FUCQDT7YLCZTALJAVRYD25KIS","bundle":"https://pith.science/pith/3FUCQDT7YLCZTALJAVRYD25KIS/bundle.json","state":"https://pith.science/pith/3FUCQDT7YLCZTALJAVRYD25KIS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3FUCQDT7YLCZTALJAVRYD25KIS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3FUCQDT7YLCZTALJAVRYD25KIS","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":"a700f8857bed4992158dc0adae0635175c82b2c6a4a27bcbb322c904e7fc60d3","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-07-11T06:29:31Z","title_canon_sha256":"4764fe8a373a16b974ffbfe9de017b832ff4c2518309408a769ddbe8d87bd418"},"schema_version":"1.0","source":{"id":"2307.05036","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.05036","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"arxiv_version","alias_value":"2307.05036v1","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.05036","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"pith_short_12","alias_value":"3FUCQDT7YLCZ","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"3FUCQDT7YLCZTALJ","created_at":"2026-07-05T06:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"3FUCQDT7","created_at":"2026-07-05T06:29:25Z"}],"graph_snapshots":[{"event_id":"sha256:3826d36311503fed992e05309af66208a5ff011a35abc207d06f39f45906f287","target":"graph","created_at":"2026-07-05T06:29:25Z","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/2307.05036/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recommendation system is not only a problem of inductive statistics from data but also a cognitive task that requires reasoning ability. The most advanced graph neural networks have been widely used in recommendation systems because they can capture implicit structured information from graph-structured data. However, like most neural network algorithms, they only learn matching patterns from a perception perspective. Some researchers use user behavior for logic reasoning to achieve recommendation prediction from the perspective of cognitive reasoning, but this kind of reasoning is a local ","authors_text":"Bang Chen, Bo Zheng, Maonian Wu, Shaojun Zhu, Wei Peng","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-07-11T06:29:31Z","title":"Neural-Symbolic Recommendation with Graph-Enhanced Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.05036","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":"sha256:7766ad558a29377f50b443c67ac3b590b8f2d1563d989c4de3b1c6273a89086c","target":"record","created_at":"2026-07-05T06:29:25Z","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":"a700f8857bed4992158dc0adae0635175c82b2c6a4a27bcbb322c904e7fc60d3","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-07-11T06:29:31Z","title_canon_sha256":"4764fe8a373a16b974ffbfe9de017b832ff4c2518309408a769ddbe8d87bd418"},"schema_version":"1.0","source":{"id":"2307.05036","kind":"arxiv","version":1}},"canonical_sha256":"d968280e7fc2c5998169056381ebaa4485276584fc0d7c56d83f2923afa5ae61","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d968280e7fc2c5998169056381ebaa4485276584fc0d7c56d83f2923afa5ae61","first_computed_at":"2026-07-05T06:29:25.195549Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:29:25.195549Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jwqi1AMW6dEu6+32vz6MI7rGOMW+8VRSdDzvyn09Qosf6+D9LTPebtbWFSZbt38loyixvg44EgZ/Z+Y718+eBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:29:25.195963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.05036","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7766ad558a29377f50b443c67ac3b590b8f2d1563d989c4de3b1c6273a89086c","sha256:3826d36311503fed992e05309af66208a5ff011a35abc207d06f39f45906f287"],"state_sha256":"6a2632042d9162cbd03add5b387ed2f2226ce6d0f962cabfe2b5e44ebf192f23"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b88V4m2YIVfU/LCrYH3hd9Uz3Q/rYGVDUzBCmKdQlFz692CMYnLjeCfKkY+Uzbtyiz7tqZl77UoNHYN0HFC6Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T17:23:10.262568Z","bundle_sha256":"43689d55df808be533f5919600d8d5e889a6c09ab181f03326027775ba4e2842"}}