{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6BFC3DTKMJAU3ZASWRUHMM3KFM","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":"d285ca1bd95414e1ca768f2e79edd0a3807bb08307b88b99cbb258bb761e693a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-04-09T13:44:16Z","title_canon_sha256":"e6e7b0e9a05b91fe1af395fee803399105119af712141a7e692db067d735b3ae"},"schema_version":"1.0","source":{"id":"2404.06311","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06311","created_at":"2026-07-05T08:06:07Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06311v1","created_at":"2026-07-05T08:06:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06311","created_at":"2026-07-05T08:06:07Z"},{"alias_kind":"pith_short_12","alias_value":"6BFC3DTKMJAU","created_at":"2026-07-05T08:06:07Z"},{"alias_kind":"pith_short_16","alias_value":"6BFC3DTKMJAU3ZAS","created_at":"2026-07-05T08:06:07Z"},{"alias_kind":"pith_short_8","alias_value":"6BFC3DTK","created_at":"2026-07-05T08:06:07Z"}],"graph_snapshots":[{"event_id":"sha256:59d249b8c751ef2f59d644d1a1650d867065da2e37e001f303b6ebcd57a0043e","target":"graph","created_at":"2026-07-05T08:06:07Z","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/2404.06311/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommendation systems play a crucial role in various domains, suggesting items based on user behavior.However, the lack of transparency in presenting recommendations can lead to user confusion. In this paper, we introduce Data-level Recommendation Explanation (DRE), a non-intrusive explanation framework for black-box recommendation models.Different from existing methods, DRE does not require any intermediary representations of the recommendation model or latent alignment training, mitigating potential performance issues.We propose a data-level alignment method, leveraging large language model","authors_text":"Jiabao Fang, Lisi Chen, Peng Han, Shen Gao, Shuo Shang, Yifan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-04-09T13:44:16Z","title":"DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06311","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":"sha256:622f94b252b52cc9d851709864a6afa0d5351022a917bfa11c225ee523947c42","target":"record","created_at":"2026-07-05T08:06:07Z","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":"d285ca1bd95414e1ca768f2e79edd0a3807bb08307b88b99cbb258bb761e693a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-04-09T13:44:16Z","title_canon_sha256":"e6e7b0e9a05b91fe1af395fee803399105119af712141a7e692db067d735b3ae"},"schema_version":"1.0","source":{"id":"2404.06311","kind":"arxiv","version":1}},"canonical_sha256":"f04a2d8e6a62414de412b46876336a2b25b7ae77978354a49e44d0d0bb854c85","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f04a2d8e6a62414de412b46876336a2b25b7ae77978354a49e44d0d0bb854c85","first_computed_at":"2026-07-05T08:06:07.464917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:07.464917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cvJ9XzyyXl39pDJEAjChN90pfs3hAdUqXiL9YM0g13IszNCKv3JBnlDkaGvUbMb1Whiq0wIh/Y9xwjZv9/AIAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:07.465346Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06311","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:622f94b252b52cc9d851709864a6afa0d5351022a917bfa11c225ee523947c42","sha256:59d249b8c751ef2f59d644d1a1650d867065da2e37e001f303b6ebcd57a0043e"],"state_sha256":"38102e435473634a10647d2639c154afeadc0339dc38363a2c00fa2cb1e09a38"}