{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2LYANST326V5U7TEGSS4YSOP7A","short_pith_number":"pith:2LYANST3","canonical_record":{"source":{"id":"2502.06097","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-02-10T02:06:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"73367834dca30d19c7cd5aeb467fd2e039e097e3e20d5784adc71eedc50051db","abstract_canon_sha256":"a027abb10f74e20d3d6696d5e7d4a8375e64a5c5fa78b7f1b1b78ebb0a44b31e"},"schema_version":"1.0"},"canonical_sha256":"d2f006ca7bd7abda7e6434a5cc49cff81672d302e5207056544d03f818f0614d","source":{"kind":"arxiv","id":"2502.06097","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06097","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06097v2","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06097","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"pith_short_12","alias_value":"2LYANST326V5","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"pith_short_16","alias_value":"2LYANST326V5U7TE","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"pith_short_8","alias_value":"2LYANST3","created_at":"2026-07-05T10:12:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2LYANST326V5U7TEGSS4YSOP7A","target":"record","payload":{"canonical_record":{"source":{"id":"2502.06097","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-02-10T02:06:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"73367834dca30d19c7cd5aeb467fd2e039e097e3e20d5784adc71eedc50051db","abstract_canon_sha256":"a027abb10f74e20d3d6696d5e7d4a8375e64a5c5fa78b7f1b1b78ebb0a44b31e"},"schema_version":"1.0"},"canonical_sha256":"d2f006ca7bd7abda7e6434a5cc49cff81672d302e5207056544d03f818f0614d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:27.577516Z","signature_b64":"73qas+lwiUAvEKzug26XHfXpIn+IBNyreS2VAO4tcUFPflpn3d7qggZrTGUGNYxolUToMYGwSjkyKf1sCsetAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2f006ca7bd7abda7e6434a5cc49cff81672d302e5207056544d03f818f0614d","last_reissued_at":"2026-07-05T10:12:27.576961Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:27.576961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.06097","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:12:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rqswsT98s0JtdsVAXmC67Yd3BN7yRshLoM4AV0i10lSSqgZ9SiNppg4ABs6kABfKCH/PGoFWXLCAEBzSgkOCAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:02:12.665705Z"},"content_sha256":"c3e07a1a3502c129c6b1df22afd8b6948ab22dfad21b9337c04694aa6e073456","schema_version":"1.0","event_id":"sha256:c3e07a1a3502c129c6b1df22afd8b6948ab22dfad21b9337c04694aa6e073456"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2LYANST326V5U7TEGSS4YSOP7A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Chi Wang, Qi Tang, Senjie Kou, Shuli Wang, Wenshuai Chen, Xingxing Wang, Xiong Xiao, Xue Wei, Yinhua Zhu","submitted_at":"2025-02-10T02:06:17Z","abstract_excerpt":"Reranking plays a crucial role in modern multi-stage recommender systems by rearranging the initial ranking list. Due to the inherent challenges of combinatorial search spaces, some current research adopts an evaluator-generator paradigm, with a generator generating feasible sequences and an evaluator selecting the best sequence based on the estimated list utility. However, these methods still face two issues. Firstly, due to the goal inconsistency problem between the evaluator and generator, the generator tends to fit the local optimal solution of exposure distribution rather than combinatori"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06097","kind":"arxiv","version":2},"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/2502.06097/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":"2026-07-05T10:12:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0y8+6dNEyEyypmDR1zkDmzvXu3DJzFDUVjtXHO5lVWgQpHb2GgdnQ3P4s3hL3AA4etAXKWYo1vC8qoXofSWeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:02:12.666269Z"},"content_sha256":"97f555f634744fd728e8a8dff2aea1a2d165b74d5b8d7c0ddf802dc8ccaa96e9","schema_version":"1.0","event_id":"sha256:97f555f634744fd728e8a8dff2aea1a2d165b74d5b8d7c0ddf802dc8ccaa96e9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2LYANST326V5U7TEGSS4YSOP7A/bundle.json","state_url":"https://pith.science/pith/2LYANST326V5U7TEGSS4YSOP7A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2LYANST326V5U7TEGSS4YSOP7A/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":"2026-08-06T00:02:12Z","links":{"resolver":"https://pith.science/pith/2LYANST326V5U7TEGSS4YSOP7A","bundle":"https://pith.science/pith/2LYANST326V5U7TEGSS4YSOP7A/bundle.json","state":"https://pith.science/pith/2LYANST326V5U7TEGSS4YSOP7A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2LYANST326V5U7TEGSS4YSOP7A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2LYANST326V5U7TEGSS4YSOP7A","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":"a027abb10f74e20d3d6696d5e7d4a8375e64a5c5fa78b7f1b1b78ebb0a44b31e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-02-10T02:06:17Z","title_canon_sha256":"73367834dca30d19c7cd5aeb467fd2e039e097e3e20d5784adc71eedc50051db"},"schema_version":"1.0","source":{"id":"2502.06097","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06097","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06097v2","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06097","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"pith_short_12","alias_value":"2LYANST326V5","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"pith_short_16","alias_value":"2LYANST326V5U7TE","created_at":"2026-07-05T10:12:27Z"},{"alias_kind":"pith_short_8","alias_value":"2LYANST3","created_at":"2026-07-05T10:12:27Z"}],"graph_snapshots":[{"event_id":"sha256:97f555f634744fd728e8a8dff2aea1a2d165b74d5b8d7c0ddf802dc8ccaa96e9","target":"graph","created_at":"2026-07-05T10:12:27Z","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/2502.06097/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reranking plays a crucial role in modern multi-stage recommender systems by rearranging the initial ranking list. Due to the inherent challenges of combinatorial search spaces, some current research adopts an evaluator-generator paradigm, with a generator generating feasible sequences and an evaluator selecting the best sequence based on the estimated list utility. However, these methods still face two issues. Firstly, due to the goal inconsistency problem between the evaluator and generator, the generator tends to fit the local optimal solution of exposure distribution rather than combinatori","authors_text":"Chi Wang, Qi Tang, Senjie Kou, Shuli Wang, Wenshuai Chen, Xingxing Wang, Xiong Xiao, Xue Wei, Yinhua Zhu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-02-10T02:06:17Z","title":"NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06097","kind":"arxiv","version":2},"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:c3e07a1a3502c129c6b1df22afd8b6948ab22dfad21b9337c04694aa6e073456","target":"record","created_at":"2026-07-05T10:12:27Z","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":"a027abb10f74e20d3d6696d5e7d4a8375e64a5c5fa78b7f1b1b78ebb0a44b31e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-02-10T02:06:17Z","title_canon_sha256":"73367834dca30d19c7cd5aeb467fd2e039e097e3e20d5784adc71eedc50051db"},"schema_version":"1.0","source":{"id":"2502.06097","kind":"arxiv","version":2}},"canonical_sha256":"d2f006ca7bd7abda7e6434a5cc49cff81672d302e5207056544d03f818f0614d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2f006ca7bd7abda7e6434a5cc49cff81672d302e5207056544d03f818f0614d","first_computed_at":"2026-07-05T10:12:27.576961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:27.576961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"73qas+lwiUAvEKzug26XHfXpIn+IBNyreS2VAO4tcUFPflpn3d7qggZrTGUGNYxolUToMYGwSjkyKf1sCsetAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:27.577516Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.06097","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3e07a1a3502c129c6b1df22afd8b6948ab22dfad21b9337c04694aa6e073456","sha256:97f555f634744fd728e8a8dff2aea1a2d165b74d5b8d7c0ddf802dc8ccaa96e9"],"state_sha256":"b3c7a7ac00738dcc14a1876f50e636f0d84f13e48ba02a2972cf0b4247fa3b1f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qJR6qMb2JFs7OUR7bTv298ud8GKx2j00mmSi9MBNYJRbRUyAx0YwO2ui0PCha192+HmuBUhJQJRYuLIEQL8aAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T00:02:12.670205Z","bundle_sha256":"cddb5b6a5b9cb3b4638f158f5e1dfb433f30c730c21f9930513977fced88d9ea"}}