{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CQO4R2JHL7TLNCYXJND5PDGC6D","short_pith_number":"pith:CQO4R2JH","schema_version":"1.0","canonical_sha256":"141dc8e9275fe6b68b174b47d78cc2f0ca7ff3093a0a2aa7630d1b9f0942ac59","source":{"kind":"arxiv","id":"2606.17443","version":1},"attestation_state":"computed","paper":{"title":"Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.AI","authors_text":"Xi Chu, Yupeng Hou","submitted_at":"2026-06-16T02:54:34Z","abstract_excerpt":"Large language models (LLMs) are becoming a major way for consumers to find products, but we do not yet understand how brands compete in this new channel. We study brand dynamics in LLM recommendations using skincare products -- a category where consumers cannot easily judge quality before buying and must rely on brand reputation -- across three commercial LLMs (GPT-4o-mini, Claude Sonnet, Gemini 3 Flash), with a robustness check on search goods. In three experiments, we find: (1) a Conditional Monopoly where well-known brands get recommended 100% of the time (IAI = 10.0) when all products hav"},"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":"2606.17443","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T02:54:34Z","cross_cats_sorted":["cs.CL","cs.CY"],"title_canon_sha256":"6fd440630b99c57de41d07cd7c5fc9ab91dcced92a8343d3ae89ba9bf1c607a3","abstract_canon_sha256":"93cf8ac43d952be1e5e69a7d31858cfef2b7c4fd6dd829906e4cb564405c1932"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:12.959096Z","signature_b64":"N3BPCncnCfqQCbxnY/T/dEwiBMQ2TpCdpDGh2fRLvQ7hjHf+YtDKpx8XcGhmAUQI3LbMl6ZhRTZFe+zwCSUmBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"141dc8e9275fe6b68b174b47d78cc2f0ca7ff3093a0a2aa7630d1b9f0942ac59","last_reissued_at":"2026-06-19T16:10:12.958750Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:12.958750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.AI","authors_text":"Xi Chu, Yupeng Hou","submitted_at":"2026-06-16T02:54:34Z","abstract_excerpt":"Large language models (LLMs) are becoming a major way for consumers to find products, but we do not yet understand how brands compete in this new channel. We study brand dynamics in LLM recommendations using skincare products -- a category where consumers cannot easily judge quality before buying and must rely on brand reputation -- across three commercial LLMs (GPT-4o-mini, Claude Sonnet, Gemini 3 Flash), with a robustness check on search goods. In three experiments, we find: (1) a Conditional Monopoly where well-known brands get recommended 100% of the time (IAI = 10.0) when all products hav"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17443","kind":"arxiv","version":1},"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/2606.17443/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":"2606.17443","created_at":"2026-06-19T16:10:12.958811+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.17443v1","created_at":"2026-06-19T16:10:12.958811+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17443","created_at":"2026-06-19T16:10:12.958811+00:00"},{"alias_kind":"pith_short_12","alias_value":"CQO4R2JHL7TL","created_at":"2026-06-19T16:10:12.958811+00:00"},{"alias_kind":"pith_short_16","alias_value":"CQO4R2JHL7TLNCYX","created_at":"2026-06-19T16:10:12.958811+00:00"},{"alias_kind":"pith_short_8","alias_value":"CQO4R2JH","created_at":"2026-06-19T16:10:12.958811+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/CQO4R2JHL7TLNCYXJND5PDGC6D","json":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D.json","graph_json":"https://pith.science/api/pith-number/CQO4R2JHL7TLNCYXJND5PDGC6D/graph.json","events_json":"https://pith.science/api/pith-number/CQO4R2JHL7TLNCYXJND5PDGC6D/events.json","paper":"https://pith.science/paper/CQO4R2JH"},"agent_actions":{"view_html":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D","download_json":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D.json","view_paper":"https://pith.science/paper/CQO4R2JH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.17443&json=true","fetch_graph":"https://pith.science/api/pith-number/CQO4R2JHL7TLNCYXJND5PDGC6D/graph.json","fetch_events":"https://pith.science/api/pith-number/CQO4R2JHL7TLNCYXJND5PDGC6D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D/action/storage_attestation","attest_author":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D/action/author_attestation","sign_citation":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D/action/citation_signature","submit_replication":"https://pith.science/pith/CQO4R2JHL7TLNCYXJND5PDGC6D/action/replication_record"}},"created_at":"2026-06-19T16:10:12.958811+00:00","updated_at":"2026-06-19T16:10:12.958811+00:00"}