{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QBCQPOBR45ERH62RRKWPKDCG3G","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":"42f0753b250753422aa0f0d5d7066f41fa62cbc0e1d6c26412accbd342f5e85a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-30T03:37:32Z","title_canon_sha256":"1975dd5c511471835530bae6b643863066c119381492ab51bdb08943ace0471a"},"schema_version":"1.0","source":{"id":"2310.19251","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.19251","created_at":"2026-07-05T07:31:21Z"},{"alias_kind":"arxiv_version","alias_value":"2310.19251v4","created_at":"2026-07-05T07:31:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.19251","created_at":"2026-07-05T07:31:21Z"},{"alias_kind":"pith_short_12","alias_value":"QBCQPOBR45ER","created_at":"2026-07-05T07:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"QBCQPOBR45ERH62R","created_at":"2026-07-05T07:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"QBCQPOBR","created_at":"2026-07-05T07:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:6eaa02748062f29e5aa82b9eb953291922c56b648ee08c2e02538517503ba547","target":"graph","created_at":"2026-07-05T07:31:21Z","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/2310.19251/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent studies on pre-trained vision/language models have demonstrated the practical benefit of a new, promising solution-building paradigm in AI where models can be pre-trained on broad data describing a generic task space and then adapted successfully to solve a wide range of downstream tasks, even when training data is severely limited (e.g., in zero- or few-shot learning scenarios). Inspired by such progress, we investigate in this paper the possibilities and challenges of adapting such a paradigm to the context of recommender systems, which is less investigated from the perspective of pre","authors_text":"Anoop Deoras, Branislav Kveton, Hao Ding, Hao Wang, Nghia Trong Hoang, Ziqian Lin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-30T03:37:32Z","title":"Pre-trained Recommender Systems: A Causal Debiasing Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.19251","kind":"arxiv","version":4},"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:f91cc2d7daa3f7c01e3349f3c6c045adc7601200155363e8a51abf4914d40650","target":"record","created_at":"2026-07-05T07:31:21Z","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":"42f0753b250753422aa0f0d5d7066f41fa62cbc0e1d6c26412accbd342f5e85a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-30T03:37:32Z","title_canon_sha256":"1975dd5c511471835530bae6b643863066c119381492ab51bdb08943ace0471a"},"schema_version":"1.0","source":{"id":"2310.19251","kind":"arxiv","version":4}},"canonical_sha256":"804507b831e74913fb518aacf50c46d9ba8238ee9ad173c7405517f82b575c38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"804507b831e74913fb518aacf50c46d9ba8238ee9ad173c7405517f82b575c38","first_computed_at":"2026-07-05T07:31:21.994841Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:31:21.994841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zhxCFveLV3E0rLgJQ5pmqir2rDFfOPBhU0Yj7O1Yxl7Z/0enAomly0LjM51zAqhyVdPriuqal2s+iVQDwhQJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:31:21.995339Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.19251","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f91cc2d7daa3f7c01e3349f3c6c045adc7601200155363e8a51abf4914d40650","sha256:6eaa02748062f29e5aa82b9eb953291922c56b648ee08c2e02538517503ba547"],"state_sha256":"8312176a88e10fde1d87ed203334f5ccd4f03d871fc84092cea12db82613c42b"}