{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:N7BI6TPAIXZAGP3GCG4WESKXNX","short_pith_number":"pith:N7BI6TPA","schema_version":"1.0","canonical_sha256":"6fc28f4de045f2033f6611b96249576dce651b77a0b5e44ba906558e6e359e58","source":{"kind":"arxiv","id":"2508.04749","version":1},"attestation_state":"computed","paper":{"title":"Bridging Brains and Models: MoE-Based Functional Lesions for Simulating and Rehabilitating Aphasia","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Chengqing Zong, Chunyu Ye, Jichen Zheng, Jingyuan Sun, Jixing Li, Shaonan Wang, Yifan Wang, Yunhao Zhang","submitted_at":"2025-08-06T08:52:03Z","abstract_excerpt":"The striking alignment between large language models (LLMs) and human brain activity positions them as powerful models of healthy cognition. This parallel raises a fundamental question: if LLMs can model the intact brain, can we lesion them to simulate the linguistic deficits of the injured brain? In this work, we introduce a methodology to model aphasia - a complex language disorder caused by neural injury - by selectively disabling components in a modular Mixture-of-Experts (MoE) language model. We simulate distinct aphasia subtypes, validate their linguistic outputs against real patient spe"},"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":"2508.04749","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2025-08-06T08:52:03Z","cross_cats_sorted":[],"title_canon_sha256":"7e310b464a9599cd71fd6bb1b361eae9a492564e6d6cb6205cc4073edfe24280","abstract_canon_sha256":"3967ad82ec917ff4636db640ff036c6c6dec8f7f7b2286b0b9ec71884019ae05"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:01.134725Z","signature_b64":"u4KLr2+7wIhhhdqGfHmSWhrbNzexvTSFtbaTVq7JGmJheNPkXSAV6RtcpK5UxvsojBk5FTPQOfFDk2egkU9cCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6fc28f4de045f2033f6611b96249576dce651b77a0b5e44ba906558e6e359e58","last_reissued_at":"2026-07-05T11:50:01.134278Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:01.134278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bridging Brains and Models: MoE-Based Functional Lesions for Simulating and Rehabilitating Aphasia","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Chengqing Zong, Chunyu Ye, Jichen Zheng, Jingyuan Sun, Jixing Li, Shaonan Wang, Yifan Wang, Yunhao Zhang","submitted_at":"2025-08-06T08:52:03Z","abstract_excerpt":"The striking alignment between large language models (LLMs) and human brain activity positions them as powerful models of healthy cognition. This parallel raises a fundamental question: if LLMs can model the intact brain, can we lesion them to simulate the linguistic deficits of the injured brain? In this work, we introduce a methodology to model aphasia - a complex language disorder caused by neural injury - by selectively disabling components in a modular Mixture-of-Experts (MoE) language model. We simulate distinct aphasia subtypes, validate their linguistic outputs against real patient spe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04749","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/2508.04749/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":"2508.04749","created_at":"2026-07-05T11:50:01.134340+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.04749v1","created_at":"2026-07-05T11:50:01.134340+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04749","created_at":"2026-07-05T11:50:01.134340+00:00"},{"alias_kind":"pith_short_12","alias_value":"N7BI6TPAIXZA","created_at":"2026-07-05T11:50:01.134340+00:00"},{"alias_kind":"pith_short_16","alias_value":"N7BI6TPAIXZAGP3G","created_at":"2026-07-05T11:50:01.134340+00:00"},{"alias_kind":"pith_short_8","alias_value":"N7BI6TPA","created_at":"2026-07-05T11:50:01.134340+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/N7BI6TPAIXZAGP3GCG4WESKXNX","json":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX.json","graph_json":"https://pith.science/api/pith-number/N7BI6TPAIXZAGP3GCG4WESKXNX/graph.json","events_json":"https://pith.science/api/pith-number/N7BI6TPAIXZAGP3GCG4WESKXNX/events.json","paper":"https://pith.science/paper/N7BI6TPA"},"agent_actions":{"view_html":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX","download_json":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX.json","view_paper":"https://pith.science/paper/N7BI6TPA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.04749&json=true","fetch_graph":"https://pith.science/api/pith-number/N7BI6TPAIXZAGP3GCG4WESKXNX/graph.json","fetch_events":"https://pith.science/api/pith-number/N7BI6TPAIXZAGP3GCG4WESKXNX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX/action/storage_attestation","attest_author":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX/action/author_attestation","sign_citation":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX/action/citation_signature","submit_replication":"https://pith.science/pith/N7BI6TPAIXZAGP3GCG4WESKXNX/action/replication_record"}},"created_at":"2026-07-05T11:50:01.134340+00:00","updated_at":"2026-07-05T11:50:01.134340+00:00"}