{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WZKPQL46LQEG7LTJVW2VQDFTSE","short_pith_number":"pith:WZKPQL46","schema_version":"1.0","canonical_sha256":"b654f82f9e5c086fae69adb5580cb391384fa61ec21bf731a81f110000ddaa8a","source":{"kind":"arxiv","id":"2606.06211","version":1},"attestation_state":"computed","paper":{"title":"FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Fernando L\\'opez, Jordi Luque, Santosh Kesiraju","submitted_at":"2026-06-04T14:20:11Z","abstract_excerpt":"Automatic speech recognition (ASR) has advanced remarkably for standard speech; however, pathological speech from neurological conditions remains a significant challenge. We investigate speaker conditioning via Feature-wise Linear Modulation (FiLM), injecting x-vector-derived information into each transformer layer of a frozen ASR encoder to adapt internal representations to individual pathological speakers without modifying base model weights. We benchmark this for the ASR task against standard and parameter-efficient fine-tuning baselines, complemented by post-processing, on Spanish and Engl"},"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":"2606.06211","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-04T14:20:11Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"6076c21748f8fea001cfdf0be8446dc22cdee0a3d9a15079265cb3892714420f","abstract_canon_sha256":"304979327ed75defc4ac90c4d2e62288d5ec7c47db7882130def5cdb3ff893df"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:15:37.542680Z","signature_b64":"psu7lf8i0BCsB6V+xWsenBJK3RYIFzd3GHcIh4EUtDmYLX+vZtH537XZLhrlMZcZcnfZ/OiNU28X4d9RTFEmCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b654f82f9e5c086fae69adb5580cb391384fa61ec21bf731a81f110000ddaa8a","last_reissued_at":"2026-06-05T01:15:37.542046Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:15:37.542046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Fernando L\\'opez, Jordi Luque, Santosh Kesiraju","submitted_at":"2026-06-04T14:20:11Z","abstract_excerpt":"Automatic speech recognition (ASR) has advanced remarkably for standard speech; however, pathological speech from neurological conditions remains a significant challenge. We investigate speaker conditioning via Feature-wise Linear Modulation (FiLM), injecting x-vector-derived information into each transformer layer of a frozen ASR encoder to adapt internal representations to individual pathological speakers without modifying base model weights. We benchmark this for the ASR task against standard and parameter-efficient fine-tuning baselines, complemented by post-processing, on Spanish and Engl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06211","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/2606.06211/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":"2606.06211","created_at":"2026-06-05T01:15:37.542135+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.06211v1","created_at":"2026-06-05T01:15:37.542135+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06211","created_at":"2026-06-05T01:15:37.542135+00:00"},{"alias_kind":"pith_short_12","alias_value":"WZKPQL46LQEG","created_at":"2026-06-05T01:15:37.542135+00:00"},{"alias_kind":"pith_short_16","alias_value":"WZKPQL46LQEG7LTJ","created_at":"2026-06-05T01:15:37.542135+00:00"},{"alias_kind":"pith_short_8","alias_value":"WZKPQL46","created_at":"2026-06-05T01:15:37.542135+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/WZKPQL46LQEG7LTJVW2VQDFTSE","json":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE.json","graph_json":"https://pith.science/api/pith-number/WZKPQL46LQEG7LTJVW2VQDFTSE/graph.json","events_json":"https://pith.science/api/pith-number/WZKPQL46LQEG7LTJVW2VQDFTSE/events.json","paper":"https://pith.science/paper/WZKPQL46"},"agent_actions":{"view_html":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE","download_json":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE.json","view_paper":"https://pith.science/paper/WZKPQL46","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.06211&json=true","fetch_graph":"https://pith.science/api/pith-number/WZKPQL46LQEG7LTJVW2VQDFTSE/graph.json","fetch_events":"https://pith.science/api/pith-number/WZKPQL46LQEG7LTJVW2VQDFTSE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE/action/storage_attestation","attest_author":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE/action/author_attestation","sign_citation":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE/action/citation_signature","submit_replication":"https://pith.science/pith/WZKPQL46LQEG7LTJVW2VQDFTSE/action/replication_record"}},"created_at":"2026-06-05T01:15:37.542135+00:00","updated_at":"2026-06-05T01:15:37.542135+00:00"}