{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LGN6HRFE63SGGDMJ7PC3YYMUJQ","short_pith_number":"pith:LGN6HRFE","canonical_record":{"source":{"id":"2607.01387","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-01T18:47:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aa6497f28b07b569a56ffb3de144f5fc9d81ecd57f80bf17799020bbf5d3ff1e","abstract_canon_sha256":"3cd51f93a36cc7b77e88b7dcd13f879a33e0c91540a302f8bb78b7d8da29e874"},"schema_version":"1.0"},"canonical_sha256":"599be3c4a4f6e4630d89fbc5bc61944c1e8a457e4619039546be72d457e8c557","source":{"kind":"arxiv","id":"2607.01387","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01387","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01387v1","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01387","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_12","alias_value":"LGN6HRFE63SG","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_16","alias_value":"LGN6HRFE63SGGDMJ","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_8","alias_value":"LGN6HRFE","created_at":"2026-07-03T00:16:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LGN6HRFE63SGGDMJ7PC3YYMUJQ","target":"record","payload":{"canonical_record":{"source":{"id":"2607.01387","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-01T18:47:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aa6497f28b07b569a56ffb3de144f5fc9d81ecd57f80bf17799020bbf5d3ff1e","abstract_canon_sha256":"3cd51f93a36cc7b77e88b7dcd13f879a33e0c91540a302f8bb78b7d8da29e874"},"schema_version":"1.0"},"canonical_sha256":"599be3c4a4f6e4630d89fbc5bc61944c1e8a457e4619039546be72d457e8c557","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T00:16:58.929396Z","signature_b64":"Ke9UCnouwaUQjV9P3MFPiF4UjLTYKpVcgTaQS9nwbAtnWUvLArHPybLVhAFHMg4jN5JY0PmzSoQXYZJ0t5JoAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"599be3c4a4f6e4630d89fbc5bc61944c1e8a457e4619039546be72d457e8c557","last_reissued_at":"2026-07-03T00:16:58.929021Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T00:16:58.929021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.01387","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":"2026-07-03T00:16:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xzw+fRcA7UKX3fG84KdSVugTc0LpZWn9UYJWw1XU9v/fXcRmtE+bJzm8DlWwYFhuzzio9noFtMkkwBHgBpTFBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:24:05.397909Z"},"content_sha256":"957b1b5c224239f8726bfbed2b5b2161af8bd8b34ae3ecfb3970b2ca2fbae186","schema_version":"1.0","event_id":"sha256:957b1b5c224239f8726bfbed2b5b2161af8bd8b34ae3ecfb3970b2ca2fbae186"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LGN6HRFE63SGGDMJ7PC3YYMUJQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Bhanu Pratap Singh Rawat, Dawei Zhou, Giovanni Seni, Lecheng Zheng, Longfeng Wu, Tong Zeng, Yao Zhou, Zhimin Peng","submitted_at":"2026-07-01T18:47:42Z","abstract_excerpt":"Recommender systems are vital in helping users navigate vast amounts of information, offering personalized suggestions and effective explanations for these recommendations. While previous efforts have attempted to provide such explanations, evaluating their effectiveness across various scenarios remains a challenge. Enhancing these explanations is essential for improving user engagement, trust, and decision-making. To facilitate effective explanations within the recommender system, we propose a Bi-level Neural Architecture Search (Bi-NAS) framework to optimize explanations. This approach simul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01387","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/2607.01387/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":"2026-07-03T00:16:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KIDKePlUOoZRSer/MwwDzNaLtHexJuoNej1QvyqvHP0+z5I0LMGq5PHxXBFJhVuCkyxYGXdVzLrayCWSDSesCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:24:05.398742Z"},"content_sha256":"f1ec8e5cc222bcd22c5dba5b01f230a7b3981de601e39b0017172854f966ae2f","schema_version":"1.0","event_id":"sha256:f1ec8e5cc222bcd22c5dba5b01f230a7b3981de601e39b0017172854f966ae2f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LGN6HRFE63SGGDMJ7PC3YYMUJQ/bundle.json","state_url":"https://pith.science/pith/LGN6HRFE63SGGDMJ7PC3YYMUJQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LGN6HRFE63SGGDMJ7PC3YYMUJQ/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":"2026-08-06T04:24:05Z","links":{"resolver":"https://pith.science/pith/LGN6HRFE63SGGDMJ7PC3YYMUJQ","bundle":"https://pith.science/pith/LGN6HRFE63SGGDMJ7PC3YYMUJQ/bundle.json","state":"https://pith.science/pith/LGN6HRFE63SGGDMJ7PC3YYMUJQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LGN6HRFE63SGGDMJ7PC3YYMUJQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LGN6HRFE63SGGDMJ7PC3YYMUJQ","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":"3cd51f93a36cc7b77e88b7dcd13f879a33e0c91540a302f8bb78b7d8da29e874","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-01T18:47:42Z","title_canon_sha256":"aa6497f28b07b569a56ffb3de144f5fc9d81ecd57f80bf17799020bbf5d3ff1e"},"schema_version":"1.0","source":{"id":"2607.01387","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01387","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01387v1","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01387","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_12","alias_value":"LGN6HRFE63SG","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_16","alias_value":"LGN6HRFE63SGGDMJ","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_8","alias_value":"LGN6HRFE","created_at":"2026-07-03T00:16:58Z"}],"graph_snapshots":[{"event_id":"sha256:f1ec8e5cc222bcd22c5dba5b01f230a7b3981de601e39b0017172854f966ae2f","target":"graph","created_at":"2026-07-03T00:16:58Z","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/2607.01387/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommender systems are vital in helping users navigate vast amounts of information, offering personalized suggestions and effective explanations for these recommendations. While previous efforts have attempted to provide such explanations, evaluating their effectiveness across various scenarios remains a challenge. Enhancing these explanations is essential for improving user engagement, trust, and decision-making. To facilitate effective explanations within the recommender system, we propose a Bi-level Neural Architecture Search (Bi-NAS) framework to optimize explanations. This approach simul","authors_text":"Bhanu Pratap Singh Rawat, Dawei Zhou, Giovanni Seni, Lecheng Zheng, Longfeng Wu, Tong Zeng, Yao Zhou, Zhimin Peng","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-01T18:47:42Z","title":"Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01387","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":"sha256:957b1b5c224239f8726bfbed2b5b2161af8bd8b34ae3ecfb3970b2ca2fbae186","target":"record","created_at":"2026-07-03T00:16:58Z","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":"3cd51f93a36cc7b77e88b7dcd13f879a33e0c91540a302f8bb78b7d8da29e874","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-01T18:47:42Z","title_canon_sha256":"aa6497f28b07b569a56ffb3de144f5fc9d81ecd57f80bf17799020bbf5d3ff1e"},"schema_version":"1.0","source":{"id":"2607.01387","kind":"arxiv","version":1}},"canonical_sha256":"599be3c4a4f6e4630d89fbc5bc61944c1e8a457e4619039546be72d457e8c557","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"599be3c4a4f6e4630d89fbc5bc61944c1e8a457e4619039546be72d457e8c557","first_computed_at":"2026-07-03T00:16:58.929021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T00:16:58.929021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ke9UCnouwaUQjV9P3MFPiF4UjLTYKpVcgTaQS9nwbAtnWUvLArHPybLVhAFHMg4jN5JY0PmzSoQXYZJ0t5JoAg==","signature_status":"signed_v1","signed_at":"2026-07-03T00:16:58.929396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01387","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:957b1b5c224239f8726bfbed2b5b2161af8bd8b34ae3ecfb3970b2ca2fbae186","sha256:f1ec8e5cc222bcd22c5dba5b01f230a7b3981de601e39b0017172854f966ae2f"],"state_sha256":"abee34af90da4a9bd08841028521257277c5713e803384f3cd0d37bb59c01c58"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wqVKN2R8teUAxrWcae/5EFOy8LwdtJklOJlQhEYr52d8GAWmuNgejn8Wib1293moY9u0meDDQjK+0KJ+pfJ0Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T04:24:05.404121Z","bundle_sha256":"faf9796f679253b258f65a4965e090fbf7781cd47a7a5b6767389daf273e5b23"}}