{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RUSPVUATLJDNF5XJPJCJAQ4E7I","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":"5515f57a375ea49c3c78bc07312c051701081173633444ad0dbb8f6487e836a8","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-10-13T02:56:42Z","title_canon_sha256":"5721094c9f4aa02b2e7d9952bef765ceec4bd95808339317f0308223aca5fa71"},"schema_version":"1.0","source":{"id":"2510.10943","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.10943","created_at":"2026-06-02T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2510.10943v2","created_at":"2026-06-02T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.10943","created_at":"2026-06-02T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"RUSPVUATLJDN","created_at":"2026-06-02T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"RUSPVUATLJDNF5XJ","created_at":"2026-06-02T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"RUSPVUAT","created_at":"2026-06-02T02:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:175da0b9f682e48fe80df9d7321bcd9fa18e7f93cd53ea154513472afdc40311","target":"graph","created_at":"2026-06-02T02:04:48Z","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/2510.10943/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bias in large language models (LLMs) remains a persistent challenge, often leading to stereotyping and unfair treatment across social groups. While prior work has mainly focused on individual LLMs, the emergence of multi-agent systems (MAS), where multiple LLMs collaborate and communicate, introduces new and underexplored dynamics in how bias emerges, propagates, and amplifies. To systematically investigate these dynamics, we propose a simple evaluation framework with three agent-level metrics that quantify bias emergence, propagation, and amplification throughout multi-agent interaction. We e","authors_text":"Amardeep Kaur, Dinh Phung, Junae Kim, Linhao Luo, Rollin Omari, Tamas Abraham, Thi-Nhung Nguyen, Thuy-Trang Vu","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-10-13T02:56:42Z","title":"The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.10943","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":"sha256:7efa70f230bc7d34eba62a41e8b2554fb5b97cfc4d8e221e87cbbf464786eb5d","target":"record","created_at":"2026-06-02T02:04:48Z","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":"5515f57a375ea49c3c78bc07312c051701081173633444ad0dbb8f6487e836a8","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-10-13T02:56:42Z","title_canon_sha256":"5721094c9f4aa02b2e7d9952bef765ceec4bd95808339317f0308223aca5fa71"},"schema_version":"1.0","source":{"id":"2510.10943","kind":"arxiv","version":2}},"canonical_sha256":"8d24fad0135a46d2f6e97a44904384fa02198953400095587b61bb66b4dabebd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d24fad0135a46d2f6e97a44904384fa02198953400095587b61bb66b4dabebd","first_computed_at":"2026-06-02T02:04:48.422971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:48.422971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HGxW3kLiKa1dyrjJ4aeBVtU2g2cW5w6M1e8uXEswqIYLR46DFaqX9d4LjQKRNub43u1RQGXs08mGGiqbKHSkCg==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:48.423506Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.10943","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7efa70f230bc7d34eba62a41e8b2554fb5b97cfc4d8e221e87cbbf464786eb5d","sha256:175da0b9f682e48fe80df9d7321bcd9fa18e7f93cd53ea154513472afdc40311"],"state_sha256":"bddfc0e5e8b2d222a229c92d53769b555c048687bcd39ee33056800f971bf899"}