{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RWRH3AGXEZTWG7IBLDI6RCIVNB","short_pith_number":"pith:RWRH3AGX","canonical_record":{"source":{"id":"2410.12229","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-16T04:44:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"026f4ffe38e8a2d3579a2fe01115c47fdbee8540549cfc1e8920ce9f951ff9b4","abstract_canon_sha256":"79f9d4832e03568ec0942d9555ef9a49a5d0df0541a45f93c9cd2441d7e65f53"},"schema_version":"1.0"},"canonical_sha256":"8da27d80d72667637d0158d1e8891568437eb1ab159b2ad49688daa6351ed656","source":{"kind":"arxiv","id":"2410.12229","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12229","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12229v3","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12229","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"pith_short_12","alias_value":"RWRH3AGXEZTW","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"pith_short_16","alias_value":"RWRH3AGXEZTWG7IB","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"pith_short_8","alias_value":"RWRH3AGX","created_at":"2026-07-05T10:50:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RWRH3AGXEZTWG7IBLDI6RCIVNB","target":"record","payload":{"canonical_record":{"source":{"id":"2410.12229","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-16T04:44:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"026f4ffe38e8a2d3579a2fe01115c47fdbee8540549cfc1e8920ce9f951ff9b4","abstract_canon_sha256":"79f9d4832e03568ec0942d9555ef9a49a5d0df0541a45f93c9cd2441d7e65f53"},"schema_version":"1.0"},"canonical_sha256":"8da27d80d72667637d0158d1e8891568437eb1ab159b2ad49688daa6351ed656","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:31.176195Z","signature_b64":"zFmAq3ZXZxcLVa/rO+DyFsRrvNMJuWYwebhcJGtaE1AZm3XwZ6UK1BFBgehzN2nEf6ZWGyGunlx3AlhcSASWDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8da27d80d72667637d0158d1e8891568437eb1ab159b2ad49688daa6351ed656","last_reissued_at":"2026-07-05T10:50:31.175709Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:31.175709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.12229","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:50:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W/THwRUcsJKLIYrci03eZaiwwtVYx7kmLQA/O3yRmw1ZjV12HoMZr+MfdBkC6o4P7SD0TGfd+s+IGvmMGHd2BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:12:28.042186Z"},"content_sha256":"d4e25722505e98075fb0f0a34092f27e6b19632bcc9a333749306664292c8977","schema_version":"1.0","event_id":"sha256:d4e25722505e98075fb0f0a34092f27e6b19632bcc9a333749306664292c8977"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RWRH3AGXEZTWG7IBLDI6RCIVNB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comprehending Knowledge Graphs with Large Language Models for Recommender Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Chen Ma, Dugang Liu, Fuyuan Lyu, Xing Tang, Xiuqiang He, Yunpeng Weng, Ziqiang Cui","submitted_at":"2024-10-16T04:44:34Z","abstract_excerpt":"In recent years, the introduction of knowledge graphs (KGs) has significantly advanced recommender systems by facilitating the discovery of potential associations between items. However, existing methods still face several limitations. First, most KGs suffer from missing facts or limited scopes. Second, existing methods convert textual information in KGs into IDs, resulting in the loss of natural semantic connections between different items. Third, existing methods struggle to capture high-order connections in the global KG. To address these limitations, we propose a novel method called CoLaKG"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12229","kind":"arxiv","version":3},"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/2410.12229/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":"2026-07-05T10:50:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0cssFR9B0w8ChT9zB50WU+fi31YrPzOXpJTzr15tttqP9NR1s6te4TfSAQNOjz4OhKW8azTOwdW9VHM9sWfKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:12:28.042752Z"},"content_sha256":"f617b72e6e640cbbfd2230ab4ef3813cac82444e6d1f97bdf6dfebe70b01044d","schema_version":"1.0","event_id":"sha256:f617b72e6e640cbbfd2230ab4ef3813cac82444e6d1f97bdf6dfebe70b01044d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RWRH3AGXEZTWG7IBLDI6RCIVNB/bundle.json","state_url":"https://pith.science/pith/RWRH3AGXEZTWG7IBLDI6RCIVNB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RWRH3AGXEZTWG7IBLDI6RCIVNB/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":"2026-08-09T04:12:28Z","links":{"resolver":"https://pith.science/pith/RWRH3AGXEZTWG7IBLDI6RCIVNB","bundle":"https://pith.science/pith/RWRH3AGXEZTWG7IBLDI6RCIVNB/bundle.json","state":"https://pith.science/pith/RWRH3AGXEZTWG7IBLDI6RCIVNB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RWRH3AGXEZTWG7IBLDI6RCIVNB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RWRH3AGXEZTWG7IBLDI6RCIVNB","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":"79f9d4832e03568ec0942d9555ef9a49a5d0df0541a45f93c9cd2441d7e65f53","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-16T04:44:34Z","title_canon_sha256":"026f4ffe38e8a2d3579a2fe01115c47fdbee8540549cfc1e8920ce9f951ff9b4"},"schema_version":"1.0","source":{"id":"2410.12229","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12229","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12229v3","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12229","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"pith_short_12","alias_value":"RWRH3AGXEZTW","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"pith_short_16","alias_value":"RWRH3AGXEZTWG7IB","created_at":"2026-07-05T10:50:31Z"},{"alias_kind":"pith_short_8","alias_value":"RWRH3AGX","created_at":"2026-07-05T10:50:31Z"}],"graph_snapshots":[{"event_id":"sha256:f617b72e6e640cbbfd2230ab4ef3813cac82444e6d1f97bdf6dfebe70b01044d","target":"graph","created_at":"2026-07-05T10:50:31Z","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/2410.12229/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the introduction of knowledge graphs (KGs) has significantly advanced recommender systems by facilitating the discovery of potential associations between items. However, existing methods still face several limitations. First, most KGs suffer from missing facts or limited scopes. Second, existing methods convert textual information in KGs into IDs, resulting in the loss of natural semantic connections between different items. Third, existing methods struggle to capture high-order connections in the global KG. To address these limitations, we propose a novel method called CoLaKG","authors_text":"Chen Ma, Dugang Liu, Fuyuan Lyu, Xing Tang, Xiuqiang He, Yunpeng Weng, Ziqiang Cui","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-16T04:44:34Z","title":"Comprehending Knowledge Graphs with Large Language Models for Recommender Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12229","kind":"arxiv","version":3},"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:d4e25722505e98075fb0f0a34092f27e6b19632bcc9a333749306664292c8977","target":"record","created_at":"2026-07-05T10:50:31Z","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":"79f9d4832e03568ec0942d9555ef9a49a5d0df0541a45f93c9cd2441d7e65f53","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-16T04:44:34Z","title_canon_sha256":"026f4ffe38e8a2d3579a2fe01115c47fdbee8540549cfc1e8920ce9f951ff9b4"},"schema_version":"1.0","source":{"id":"2410.12229","kind":"arxiv","version":3}},"canonical_sha256":"8da27d80d72667637d0158d1e8891568437eb1ab159b2ad49688daa6351ed656","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8da27d80d72667637d0158d1e8891568437eb1ab159b2ad49688daa6351ed656","first_computed_at":"2026-07-05T10:50:31.175709Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:31.175709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zFmAq3ZXZxcLVa/rO+DyFsRrvNMJuWYwebhcJGtaE1AZm3XwZ6UK1BFBgehzN2nEf6ZWGyGunlx3AlhcSASWDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:31.176195Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.12229","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4e25722505e98075fb0f0a34092f27e6b19632bcc9a333749306664292c8977","sha256:f617b72e6e640cbbfd2230ab4ef3813cac82444e6d1f97bdf6dfebe70b01044d"],"state_sha256":"d1a42e04ead28f66ffcc7980a8a8d91f0e06b1e430dc3fcfebae5082aaddf518"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o3mI02z0OBmIggMzpSNj6MC6S8fLbq4zdKnX+kOmlHUGu4NuE2gshKoRdCVcnp4nYwJEko5uk7Z+8KDf44CFCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:12:28.053931Z","bundle_sha256":"23bc6cef16742ba42564cfb0be92de2ea3ffcc6a1d887cb455dcf61a7cc4d3bd"}}