{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:HGV4ZU2VROP7LUBWA6IB2TBJP4","short_pith_number":"pith:HGV4ZU2V","schema_version":"1.0","canonical_sha256":"39abccd3558b9ff5d03607901d4c297f374dc3e72032f7f71434ae7d6c86696d","source":{"kind":"arxiv","id":"2603.10673","version":2},"attestation_state":"computed","paper":{"title":"Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Chenxiao Fan, Chongming Gao, Fuli Feng, Haoyan Liu, Jianshan Sun, Wenjie Wang, Xiangnan He, Yangyang Li, Yaxin Gong","submitted_at":"2026-03-11T11:40:13Z","abstract_excerpt":"Recent advances in large language models (LLMs) have stimulated growing interest in agent-based recommender systems, enabling language-driven interaction and reasoning for more expressive preference modeling. However, most existing agentic approaches remain predominantly user-centric, treating items as passive entities and neglecting the interests of other critical stakeholders. This limitation exacerbates exposure concentration and long-tail under-representation, threatening long-term system sustainability. In this work, we identify this fundamental limitation and propose the first Tri-party "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2603.10673","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-03-11T11:40:13Z","cross_cats_sorted":[],"title_canon_sha256":"9a8e36fa5dc9a8c594f9b4b8229e1c58ce241bf31b2a93844439283dce259bc5","abstract_canon_sha256":"20aeddd6185746bd1ea32d06456ba5cd4b3e5038b6aea3c8d6ea8d0051d2981d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T02:05:00.822368Z","signature_b64":"VLPyDJU9bVrM+tCTgpr4KgLR3XstDJN82V2wJuf5O3mydTP4u6xRKyZpyH4anTkSyquny3y1C5gEcAX9n69sDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39abccd3558b9ff5d03607901d4c297f374dc3e72032f7f71434ae7d6c86696d","last_reissued_at":"2026-05-21T02:05:00.821441Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T02:05:00.821441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Chenxiao Fan, Chongming Gao, Fuli Feng, Haoyan Liu, Jianshan Sun, Wenjie Wang, Xiangnan He, Yangyang Li, Yaxin Gong","submitted_at":"2026-03-11T11:40:13Z","abstract_excerpt":"Recent advances in large language models (LLMs) have stimulated growing interest in agent-based recommender systems, enabling language-driven interaction and reasoning for more expressive preference modeling. However, most existing agentic approaches remain predominantly user-centric, treating items as passive entities and neglecting the interests of other critical stakeholders. This limitation exacerbates exposure concentration and long-tail under-representation, threatening long-term system sustainability. In this work, we identify this fundamental limitation and propose the first Tri-party "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.10673","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/2603.10673/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2603.10673","created_at":"2026-05-21T02:05:00.821556+00:00"},{"alias_kind":"arxiv_version","alias_value":"2603.10673v2","created_at":"2026-05-21T02:05:00.821556+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.10673","created_at":"2026-05-21T02:05:00.821556+00:00"},{"alias_kind":"pith_short_12","alias_value":"HGV4ZU2VROP7","created_at":"2026-05-21T02:05:00.821556+00:00"},{"alias_kind":"pith_short_16","alias_value":"HGV4ZU2VROP7LUBW","created_at":"2026-05-21T02:05:00.821556+00:00"},{"alias_kind":"pith_short_8","alias_value":"HGV4ZU2V","created_at":"2026-05-21T02:05:00.821556+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4","json":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4.json","graph_json":"https://pith.science/api/pith-number/HGV4ZU2VROP7LUBWA6IB2TBJP4/graph.json","events_json":"https://pith.science/api/pith-number/HGV4ZU2VROP7LUBWA6IB2TBJP4/events.json","paper":"https://pith.science/paper/HGV4ZU2V"},"agent_actions":{"view_html":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4","download_json":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4.json","view_paper":"https://pith.science/paper/HGV4ZU2V","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2603.10673&json=true","fetch_graph":"https://pith.science/api/pith-number/HGV4ZU2VROP7LUBWA6IB2TBJP4/graph.json","fetch_events":"https://pith.science/api/pith-number/HGV4ZU2VROP7LUBWA6IB2TBJP4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4/action/storage_attestation","attest_author":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4/action/author_attestation","sign_citation":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4/action/citation_signature","submit_replication":"https://pith.science/pith/HGV4ZU2VROP7LUBWA6IB2TBJP4/action/replication_record"}},"created_at":"2026-05-21T02:05:00.821556+00:00","updated_at":"2026-05-21T02:05:00.821556+00:00"}