{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5IZBPGLYDDLDZWSSUKYXWO3O6D","short_pith_number":"pith:5IZBPGLY","canonical_record":{"source":{"id":"2408.03166","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-08-06T13:07:08Z","cross_cats_sorted":[],"title_canon_sha256":"8ecfe5fd07549cccba05cd51758bd6721f2440e2e9bcd2001432f0a483d713cc","abstract_canon_sha256":"73f4f9561c74f04c457e20cc3da364c6f938c8b0a8e6d90753a3f50ab2be1b59"},"schema_version":"1.0"},"canonical_sha256":"ea3217997818d63cda52a2b17b3b6ef0fa2217c9b76f2a6a3ebe1cc689ddd65e","source":{"kind":"arxiv","id":"2408.03166","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03166","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03166v1","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03166","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"pith_short_12","alias_value":"5IZBPGLYDDLD","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"pith_short_16","alias_value":"5IZBPGLYDDLDZWSS","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"pith_short_8","alias_value":"5IZBPGLY","created_at":"2026-07-05T08:52:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5IZBPGLYDDLDZWSSUKYXWO3O6D","target":"record","payload":{"canonical_record":{"source":{"id":"2408.03166","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-08-06T13:07:08Z","cross_cats_sorted":[],"title_canon_sha256":"8ecfe5fd07549cccba05cd51758bd6721f2440e2e9bcd2001432f0a483d713cc","abstract_canon_sha256":"73f4f9561c74f04c457e20cc3da364c6f938c8b0a8e6d90753a3f50ab2be1b59"},"schema_version":"1.0"},"canonical_sha256":"ea3217997818d63cda52a2b17b3b6ef0fa2217c9b76f2a6a3ebe1cc689ddd65e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:46.639289Z","signature_b64":"W0bAVML9wE2ud+sG5HMLdjZ7VGw66WCP1XwFn8ch9XM3bE08njfbtpzGgF10mJXhZqLjvqD9wW4K7e89GUTpDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea3217997818d63cda52a2b17b3b6ef0fa2217c9b76f2a6a3ebe1cc689ddd65e","last_reissued_at":"2026-07-05T08:52:46.638915Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:46.638915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.03166","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":"2026-07-05T08:52:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/msB12GBhCJLUaOie+aMs7itOlK3iLcKgbr/LZJYm7MD8TW9fonaye0YF73lm3QFLCNAcaG4p/wM/vylvL+sDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:40:50.691815Z"},"content_sha256":"08a308bf7e051d255c8f29cfcf319d7c925115adaaaba9b49b1b80c4a3c879ba","schema_version":"1.0","event_id":"sha256:08a308bf7e051d255c8f29cfcf319d7c925115adaaaba9b49b1b80c4a3c879ba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5IZBPGLYDDLDZWSSUKYXWO3O6D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Hongzhi Yin, Jian Hou, Pengpeng Zhao, Shangfei Zheng, Tong Chen, Xiangjie Kong","submitted_at":"2024-08-06T13:07:08Z","abstract_excerpt":"Knowledge graphs (KGs) have been widely adopted to mitigate data sparsity and address cold-start issues in recommender systems. While existing KGs-based recommendation methods can predict user preferences and demands, they fall short in generating explicit recommendation paths and lack explainability. As a step beyond the above methods, recent advancements utilize reinforcement learning (RL) to find suitable items for a given user via explainable recommendation paths. However, the performance of these solutions is still limited by the following two points. (1) Lack of ability to capture contex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03166","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/2408.03166/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":"2026-07-05T08:52:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WLkLMV3Kcdh/TSla6zsu0igaGpyncThONt7dTd4CWBUU+iP6KhJtOC5J79JCZUYEwuPIDazR4twr8DLeLbdyAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:40:50.692928Z"},"content_sha256":"b6267d8aa302cbf40a51ea0e33891d70b1f999652fa98365cf59813fdb6e5755","schema_version":"1.0","event_id":"sha256:b6267d8aa302cbf40a51ea0e33891d70b1f999652fa98365cf59813fdb6e5755"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5IZBPGLYDDLDZWSSUKYXWO3O6D/bundle.json","state_url":"https://pith.science/pith/5IZBPGLYDDLDZWSSUKYXWO3O6D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5IZBPGLYDDLDZWSSUKYXWO3O6D/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":"2026-08-24T02:40:50Z","links":{"resolver":"https://pith.science/pith/5IZBPGLYDDLDZWSSUKYXWO3O6D","bundle":"https://pith.science/pith/5IZBPGLYDDLDZWSSUKYXWO3O6D/bundle.json","state":"https://pith.science/pith/5IZBPGLYDDLDZWSSUKYXWO3O6D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5IZBPGLYDDLDZWSSUKYXWO3O6D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5IZBPGLYDDLDZWSSUKYXWO3O6D","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":"73f4f9561c74f04c457e20cc3da364c6f938c8b0a8e6d90753a3f50ab2be1b59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-08-06T13:07:08Z","title_canon_sha256":"8ecfe5fd07549cccba05cd51758bd6721f2440e2e9bcd2001432f0a483d713cc"},"schema_version":"1.0","source":{"id":"2408.03166","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03166","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03166v1","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03166","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"pith_short_12","alias_value":"5IZBPGLYDDLD","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"pith_short_16","alias_value":"5IZBPGLYDDLDZWSS","created_at":"2026-07-05T08:52:46Z"},{"alias_kind":"pith_short_8","alias_value":"5IZBPGLY","created_at":"2026-07-05T08:52:46Z"}],"graph_snapshots":[{"event_id":"sha256:b6267d8aa302cbf40a51ea0e33891d70b1f999652fa98365cf59813fdb6e5755","target":"graph","created_at":"2026-07-05T08:52:46Z","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/2408.03166/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge graphs (KGs) have been widely adopted to mitigate data sparsity and address cold-start issues in recommender systems. While existing KGs-based recommendation methods can predict user preferences and demands, they fall short in generating explicit recommendation paths and lack explainability. As a step beyond the above methods, recent advancements utilize reinforcement learning (RL) to find suitable items for a given user via explainable recommendation paths. However, the performance of these solutions is still limited by the following two points. (1) Lack of ability to capture contex","authors_text":"Hongzhi Yin, Jian Hou, Pengpeng Zhao, Shangfei Zheng, Tong Chen, Xiangjie Kong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-08-06T13:07:08Z","title":"CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03166","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":"sha256:08a308bf7e051d255c8f29cfcf319d7c925115adaaaba9b49b1b80c4a3c879ba","target":"record","created_at":"2026-07-05T08:52:46Z","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":"73f4f9561c74f04c457e20cc3da364c6f938c8b0a8e6d90753a3f50ab2be1b59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-08-06T13:07:08Z","title_canon_sha256":"8ecfe5fd07549cccba05cd51758bd6721f2440e2e9bcd2001432f0a483d713cc"},"schema_version":"1.0","source":{"id":"2408.03166","kind":"arxiv","version":1}},"canonical_sha256":"ea3217997818d63cda52a2b17b3b6ef0fa2217c9b76f2a6a3ebe1cc689ddd65e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea3217997818d63cda52a2b17b3b6ef0fa2217c9b76f2a6a3ebe1cc689ddd65e","first_computed_at":"2026-07-05T08:52:46.638915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:46.638915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W0bAVML9wE2ud+sG5HMLdjZ7VGw66WCP1XwFn8ch9XM3bE08njfbtpzGgF10mJXhZqLjvqD9wW4K7e89GUTpDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:46.639289Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.03166","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08a308bf7e051d255c8f29cfcf319d7c925115adaaaba9b49b1b80c4a3c879ba","sha256:b6267d8aa302cbf40a51ea0e33891d70b1f999652fa98365cf59813fdb6e5755"],"state_sha256":"6225b2db6ea1908c80b344d3a4c546c38e6f36a4c10c382c05de9b4aa0d3a8ac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g+HsPkJ6ijyCpDqJeFI5hjo+yjDca8kB1KiCgduvPKdntZ7MRN9OdKCKMzhF1V/ROUm30gS1eIPN4glehtlQAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T02:40:50.697802Z","bundle_sha256":"eaf0ce129b514382e9a66844fd1de1e63e6afaac9b22b9e5210f7a00b38a06f2"}}