{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TUKKORAHUPGUDJLXI25A7DJOGN","short_pith_number":"pith:TUKKORAH","canonical_record":{"source":{"id":"2305.12090","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-20T04:32:59Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"5424d8c21335f8f8b537d06a4a4ff800b5e88b9c9d161952b4abc92a40906107","abstract_canon_sha256":"8c162ef24a27f6de4ace3d64ef8116024563aea726202a4d7c350dd8ed873317"},"schema_version":"1.0"},"canonical_sha256":"9d14a74407a3cd41a57746ba0f8d2e33572f031dd05dbbaf7298bebb87ffb0dc","source":{"kind":"arxiv","id":"2305.12090","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12090","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12090v2","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12090","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"pith_short_12","alias_value":"TUKKORAHUPGU","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"pith_short_16","alias_value":"TUKKORAHUPGUDJLX","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"pith_short_8","alias_value":"TUKKORAH","created_at":"2026-07-05T08:24:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TUKKORAHUPGUDJLXI25A7DJOGN","target":"record","payload":{"canonical_record":{"source":{"id":"2305.12090","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-20T04:32:59Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"5424d8c21335f8f8b537d06a4a4ff800b5e88b9c9d161952b4abc92a40906107","abstract_canon_sha256":"8c162ef24a27f6de4ace3d64ef8116024563aea726202a4d7c350dd8ed873317"},"schema_version":"1.0"},"canonical_sha256":"9d14a74407a3cd41a57746ba0f8d2e33572f031dd05dbbaf7298bebb87ffb0dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:24:36.388887Z","signature_b64":"vMva3YuQ3kjh8MYWiCoaiN/3fj+C143DQPu2vgKRQgo7xhXiCGYF0SvCNB+mnqwLQowaqsfZkMukovzpGOwaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d14a74407a3cd41a57746ba0f8d2e33572f031dd05dbbaf7298bebb87ffb0dc","last_reissued_at":"2026-07-05T08:24:36.388345Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:24:36.388345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.12090","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":"2026-07-05T08:24:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pTczbflIPzKOXnG8+9JA236R7VYdpd4B8kPXG8lrpSJhbB4qoYVGKMRdkl0gj1igO79o8EXXV8hhs15SeLZoBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:20:28.792642Z"},"content_sha256":"cbdb15d585d37a69f2d0b9c3454c0268a6b74007aa10299f2bcf602c67f22d8b","schema_version":"1.0","event_id":"sha256:cbdb15d585d37a69f2d0b9c3454c0268a6b74007aa10299f2bcf602c67f22d8b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TUKKORAHUPGUDJLXI25A7DJOGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UP5: Unbiased Foundation Model for Fairness-aware Recommendation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.IR","authors_text":"Jianchao Ji, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Yongfeng Zhang","submitted_at":"2023-05-20T04:32:59Z","abstract_excerpt":"Recent advances in Foundation Models such as Large Language Models (LLMs) have propelled them to the forefront of Recommender Systems (RS). Despite their utility, there is a growing concern that LLMs might inadvertently perpetuate societal stereotypes, resulting in unfair recommendations. Since fairness is critical for RS as many users take it for decision-making and demand fulfillment, this paper focuses on user-side fairness for LLM-based recommendation where the users may require a recommender system to be fair on specific sensitive features such as gender or age. In this paper, we dive int"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12090","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/2305.12090/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":"2026-07-05T08:24:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DAamyhcQW0v6DauKtZ3FYOjLD5lVUX2lvui5sibuj3FwOthVOmE5/Ohh1V1aTBbMh5DH7CvwZ2wYm09DtX+uAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:20:28.793132Z"},"content_sha256":"6b7296ece865b73ba13c2b29130677ef2c42891cb0aed41146a841dc1afe5d19","schema_version":"1.0","event_id":"sha256:6b7296ece865b73ba13c2b29130677ef2c42891cb0aed41146a841dc1afe5d19"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TUKKORAHUPGUDJLXI25A7DJOGN/bundle.json","state_url":"https://pith.science/pith/TUKKORAHUPGUDJLXI25A7DJOGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TUKKORAHUPGUDJLXI25A7DJOGN/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":"2026-08-10T14:20:28Z","links":{"resolver":"https://pith.science/pith/TUKKORAHUPGUDJLXI25A7DJOGN","bundle":"https://pith.science/pith/TUKKORAHUPGUDJLXI25A7DJOGN/bundle.json","state":"https://pith.science/pith/TUKKORAHUPGUDJLXI25A7DJOGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TUKKORAHUPGUDJLXI25A7DJOGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TUKKORAHUPGUDJLXI25A7DJOGN","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":"8c162ef24a27f6de4ace3d64ef8116024563aea726202a4d7c350dd8ed873317","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-20T04:32:59Z","title_canon_sha256":"5424d8c21335f8f8b537d06a4a4ff800b5e88b9c9d161952b4abc92a40906107"},"schema_version":"1.0","source":{"id":"2305.12090","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12090","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12090v2","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12090","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"pith_short_12","alias_value":"TUKKORAHUPGU","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"pith_short_16","alias_value":"TUKKORAHUPGUDJLX","created_at":"2026-07-05T08:24:36Z"},{"alias_kind":"pith_short_8","alias_value":"TUKKORAH","created_at":"2026-07-05T08:24:36Z"}],"graph_snapshots":[{"event_id":"sha256:6b7296ece865b73ba13c2b29130677ef2c42891cb0aed41146a841dc1afe5d19","target":"graph","created_at":"2026-07-05T08:24:36Z","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/2305.12090/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in Foundation Models such as Large Language Models (LLMs) have propelled them to the forefront of Recommender Systems (RS). Despite their utility, there is a growing concern that LLMs might inadvertently perpetuate societal stereotypes, resulting in unfair recommendations. Since fairness is critical for RS as many users take it for decision-making and demand fulfillment, this paper focuses on user-side fairness for LLM-based recommendation where the users may require a recommender system to be fair on specific sensitive features such as gender or age. In this paper, we dive int","authors_text":"Jianchao Ji, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Yongfeng Zhang","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-20T04:32:59Z","title":"UP5: Unbiased Foundation Model for Fairness-aware Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12090","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:cbdb15d585d37a69f2d0b9c3454c0268a6b74007aa10299f2bcf602c67f22d8b","target":"record","created_at":"2026-07-05T08:24:36Z","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":"8c162ef24a27f6de4ace3d64ef8116024563aea726202a4d7c350dd8ed873317","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-20T04:32:59Z","title_canon_sha256":"5424d8c21335f8f8b537d06a4a4ff800b5e88b9c9d161952b4abc92a40906107"},"schema_version":"1.0","source":{"id":"2305.12090","kind":"arxiv","version":2}},"canonical_sha256":"9d14a74407a3cd41a57746ba0f8d2e33572f031dd05dbbaf7298bebb87ffb0dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d14a74407a3cd41a57746ba0f8d2e33572f031dd05dbbaf7298bebb87ffb0dc","first_computed_at":"2026-07-05T08:24:36.388345Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:36.388345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vMva3YuQ3kjh8MYWiCoaiN/3fj+C143DQPu2vgKRQgo7xhXiCGYF0SvCNB+mnqwLQowaqsfZkMukovzpGOwaAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:36.388887Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.12090","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbdb15d585d37a69f2d0b9c3454c0268a6b74007aa10299f2bcf602c67f22d8b","sha256:6b7296ece865b73ba13c2b29130677ef2c42891cb0aed41146a841dc1afe5d19"],"state_sha256":"4f9e572a5214c126c2b0a538f1044108de6c4ec185455b71f2fd5e73db3a2f1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bfOhsNC4ysBsUHORo4rSWQ/YSb3xaJKKtvf5uVuaNbf5NLFzJmmmHahypa1PzLfE9kBD+zjyInhzGCVXkD/yCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T14:20:28.798655Z","bundle_sha256":"0a3680b2e83f55461b20407127dcf5ee0cbda8172f44cb60151201e0dfd74a86"}}