{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BVYDQQPEUVHYAWWTZIZQ4RB5DB","short_pith_number":"pith:BVYDQQPE","canonical_record":{"source":{"id":"2410.18870","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-24T15:57:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ef279e988e148a84f1f19f4d9085aac2f74fd2a2489884672d9f6f3b7e893a33","abstract_canon_sha256":"25c8d8f9aee3d1fe6beffea04368bf6e8d1c6e30264cc79545e1c48d889a9714"},"schema_version":"1.0"},"canonical_sha256":"0d703841e4a54f805ad3ca330e443d1872a75db7cb2c62b4117ed89366229c5e","source":{"kind":"arxiv","id":"2410.18870","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.18870","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"arxiv_version","alias_value":"2410.18870v2","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.18870","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"pith_short_12","alias_value":"BVYDQQPEUVHY","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"pith_short_16","alias_value":"BVYDQQPEUVHYAWWT","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"pith_short_8","alias_value":"BVYDQQPE","created_at":"2026-07-05T10:13:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BVYDQQPEUVHYAWWTZIZQ4RB5DB","target":"record","payload":{"canonical_record":{"source":{"id":"2410.18870","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-24T15:57:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ef279e988e148a84f1f19f4d9085aac2f74fd2a2489884672d9f6f3b7e893a33","abstract_canon_sha256":"25c8d8f9aee3d1fe6beffea04368bf6e8d1c6e30264cc79545e1c48d889a9714"},"schema_version":"1.0"},"canonical_sha256":"0d703841e4a54f805ad3ca330e443d1872a75db7cb2c62b4117ed89366229c5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:13:27.247791Z","signature_b64":"3JNFO9aIzksxJRRMV6PJ5Yu9ZY7UH8S+XAQdRUSxKsEEc+C2GfJqPUn0OKQs5ZuU5I+IpdsnsRWU6LdyVBeLBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d703841e4a54f805ad3ca330e443d1872a75db7cb2c62b4117ed89366229c5e","last_reissued_at":"2026-07-05T10:13:27.247270Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:13:27.247270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.18870","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":"2026-07-05T10:13:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"34JyFWFMnLLB2tHuFLkYbopgiC8nWqId8uEbPV4H88vq+F6vrhD+CpsNo57MNFXXkR6dYUpkX3ySnHGBqj9yDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:44:57.588472Z"},"content_sha256":"2c9464e929c0c7fe75ac3b37f51c2022e6bb1c3f05bb8d5b556ed4ed2a487558","schema_version":"1.0","event_id":"sha256:2c9464e929c0c7fe75ac3b37f51c2022e6bb1c3f05bb8d5b556ed4ed2a487558"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BVYDQQPEUVHYAWWTZIZQ4RB5DB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-end Training for Recommendation with Language-based User Profiles","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Joyce Zhou, Thorsten Joachims, Yijia Dai, Zhaolin Gao","submitted_at":"2024-10-24T15:57:17Z","abstract_excerpt":"There is a growing interest in natural language-based user profiles for recommender systems, which aims to enhance transparency and scrutability compared with embedding-based methods. Existing studies primarily generate these profiles using zero-shot inference from large language models (LLMs), but their quality remains insufficient, leading to suboptimal recommendation performance. In this paper, we introduce LangPTune, the first end-to-end training framework to optimize LLM-generated user profiles. Our method significantly outperforms zero-shot approaches by explicitly training the LLM for t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.18870","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/2410.18870/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":"2026-07-05T10:13:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qh3q4V0NxvSeR9HV7vELByGzURsvuNwSxtyU/ZY6kxmVmPlPRxCn+GCZ/rFByPqQBgacTzmrEj2EOJiNXfCOBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:44:57.589221Z"},"content_sha256":"ec33f36eb644d3a4bf02b09dc1a5badd81bc17ac58fa1119207e8a9aa4c35fd9","schema_version":"1.0","event_id":"sha256:ec33f36eb644d3a4bf02b09dc1a5badd81bc17ac58fa1119207e8a9aa4c35fd9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BVYDQQPEUVHYAWWTZIZQ4RB5DB/bundle.json","state_url":"https://pith.science/pith/BVYDQQPEUVHYAWWTZIZQ4RB5DB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BVYDQQPEUVHYAWWTZIZQ4RB5DB/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":"2026-08-10T06:44:57Z","links":{"resolver":"https://pith.science/pith/BVYDQQPEUVHYAWWTZIZQ4RB5DB","bundle":"https://pith.science/pith/BVYDQQPEUVHYAWWTZIZQ4RB5DB/bundle.json","state":"https://pith.science/pith/BVYDQQPEUVHYAWWTZIZQ4RB5DB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BVYDQQPEUVHYAWWTZIZQ4RB5DB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BVYDQQPEUVHYAWWTZIZQ4RB5DB","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":"25c8d8f9aee3d1fe6beffea04368bf6e8d1c6e30264cc79545e1c48d889a9714","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-24T15:57:17Z","title_canon_sha256":"ef279e988e148a84f1f19f4d9085aac2f74fd2a2489884672d9f6f3b7e893a33"},"schema_version":"1.0","source":{"id":"2410.18870","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.18870","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"arxiv_version","alias_value":"2410.18870v2","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.18870","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"pith_short_12","alias_value":"BVYDQQPEUVHY","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"pith_short_16","alias_value":"BVYDQQPEUVHYAWWT","created_at":"2026-07-05T10:13:27Z"},{"alias_kind":"pith_short_8","alias_value":"BVYDQQPE","created_at":"2026-07-05T10:13:27Z"}],"graph_snapshots":[{"event_id":"sha256:ec33f36eb644d3a4bf02b09dc1a5badd81bc17ac58fa1119207e8a9aa4c35fd9","target":"graph","created_at":"2026-07-05T10:13:27Z","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/2410.18870/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"There is a growing interest in natural language-based user profiles for recommender systems, which aims to enhance transparency and scrutability compared with embedding-based methods. Existing studies primarily generate these profiles using zero-shot inference from large language models (LLMs), but their quality remains insufficient, leading to suboptimal recommendation performance. In this paper, we introduce LangPTune, the first end-to-end training framework to optimize LLM-generated user profiles. Our method significantly outperforms zero-shot approaches by explicitly training the LLM for t","authors_text":"Joyce Zhou, Thorsten Joachims, Yijia Dai, Zhaolin Gao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-24T15:57:17Z","title":"End-to-end Training for Recommendation with Language-based User Profiles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.18870","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":"sha256:2c9464e929c0c7fe75ac3b37f51c2022e6bb1c3f05bb8d5b556ed4ed2a487558","target":"record","created_at":"2026-07-05T10:13:27Z","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":"25c8d8f9aee3d1fe6beffea04368bf6e8d1c6e30264cc79545e1c48d889a9714","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-24T15:57:17Z","title_canon_sha256":"ef279e988e148a84f1f19f4d9085aac2f74fd2a2489884672d9f6f3b7e893a33"},"schema_version":"1.0","source":{"id":"2410.18870","kind":"arxiv","version":2}},"canonical_sha256":"0d703841e4a54f805ad3ca330e443d1872a75db7cb2c62b4117ed89366229c5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d703841e4a54f805ad3ca330e443d1872a75db7cb2c62b4117ed89366229c5e","first_computed_at":"2026-07-05T10:13:27.247270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:13:27.247270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3JNFO9aIzksxJRRMV6PJ5Yu9ZY7UH8S+XAQdRUSxKsEEc+C2GfJqPUn0OKQs5ZuU5I+IpdsnsRWU6LdyVBeLBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:13:27.247791Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.18870","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c9464e929c0c7fe75ac3b37f51c2022e6bb1c3f05bb8d5b556ed4ed2a487558","sha256:ec33f36eb644d3a4bf02b09dc1a5badd81bc17ac58fa1119207e8a9aa4c35fd9"],"state_sha256":"c2450464e0e685cac211580a8c1382161677d3cc495477921d1174c8e2a67432"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nKPs3ALKzZGYj9sRLJ4F1YdQt8eRtSy2u50KLKoJV8yvscR2CYqnoMOTw3zblGyqNb9kY9wF6O4hii45vSKlAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:44:57.593734Z","bundle_sha256":"5a5b19b40f96d934c3d30d6634f1ad6735cf5513e0019efa09c4a88401a4886d"}}