{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:AVQXCIDX3B5PPEHBCLONI3RQGK","short_pith_number":"pith:AVQXCIDX","schema_version":"1.0","canonical_sha256":"0561712077d87af790e112dcd46e3032b1beb6b772427dd0af033374be270e79","source":{"kind":"arxiv","id":"2607.22100","version":1},"attestation_state":"computed","paper":{"title":"MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.CL","authors_text":"Alessio Brutti, Lorenzo Concina, Marco Matassoni, Seraphina Fong","submitted_at":"2026-07-24T08:52:44Z","abstract_excerpt":"Lightweight projectors are an established way to connect pre-trained speech encoders with large language models (LLMs), mapping acoustic features into token-level embeddings for tasks like ASR and spoken question answering. Existing systems, however, typically only support a few languages and are often limited to English. We introduce MEUSLI, the first open-science multilingual projector family that links a Whisper encoder with open-source multilingual LLMs, enabling fully open-source end-to-end ASR in 28 European languages. MEUSLI extends prior monolingual pipelines, delivering strong results"},"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":"2607.22100","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-24T08:52:44Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"c075afd04e446981bebf9bcf469bee1dcc39a53ae93407ab3a0e221b9de28d2f","abstract_canon_sha256":"8038624d2935477c88c43b3860e2232a529c149329938f9d706ed46e6a96b4be"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T01:20:48.251559Z","signature_b64":"71xvpVOaIRmqKguSh8lzYr2UFG/3YwG4d3vqFI8F20ZbEcvXlnE9EKUqpjUW/q1oECFv1agrZl/3ND+U+YT9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0561712077d87af790e112dcd46e3032b1beb6b772427dd0af033374be270e79","last_reissued_at":"2026-07-27T01:20:48.250647Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T01:20:48.250647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.CL","authors_text":"Alessio Brutti, Lorenzo Concina, Marco Matassoni, Seraphina Fong","submitted_at":"2026-07-24T08:52:44Z","abstract_excerpt":"Lightweight projectors are an established way to connect pre-trained speech encoders with large language models (LLMs), mapping acoustic features into token-level embeddings for tasks like ASR and spoken question answering. Existing systems, however, typically only support a few languages and are often limited to English. We introduce MEUSLI, the first open-science multilingual projector family that links a Whisper encoder with open-source multilingual LLMs, enabling fully open-source end-to-end ASR in 28 European languages. MEUSLI extends prior monolingual pipelines, delivering strong results"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22100","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/2607.22100/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":"2607.22100","created_at":"2026-07-27T01:20:48.251109+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.22100v1","created_at":"2026-07-27T01:20:48.251109+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22100","created_at":"2026-07-27T01:20:48.251109+00:00"},{"alias_kind":"pith_short_12","alias_value":"AVQXCIDX3B5P","created_at":"2026-07-27T01:20:48.251109+00:00"},{"alias_kind":"pith_short_16","alias_value":"AVQXCIDX3B5PPEHB","created_at":"2026-07-27T01:20:48.251109+00:00"},{"alias_kind":"pith_short_8","alias_value":"AVQXCIDX","created_at":"2026-07-27T01:20:48.251109+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/AVQXCIDX3B5PPEHBCLONI3RQGK","json":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK.json","graph_json":"https://pith.science/api/pith-number/AVQXCIDX3B5PPEHBCLONI3RQGK/graph.json","events_json":"https://pith.science/api/pith-number/AVQXCIDX3B5PPEHBCLONI3RQGK/events.json","paper":"https://pith.science/paper/AVQXCIDX"},"agent_actions":{"view_html":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK","download_json":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK.json","view_paper":"https://pith.science/paper/AVQXCIDX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.22100&json=true","fetch_graph":"https://pith.science/api/pith-number/AVQXCIDX3B5PPEHBCLONI3RQGK/graph.json","fetch_events":"https://pith.science/api/pith-number/AVQXCIDX3B5PPEHBCLONI3RQGK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK/action/storage_attestation","attest_author":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK/action/author_attestation","sign_citation":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK/action/citation_signature","submit_replication":"https://pith.science/pith/AVQXCIDX3B5PPEHBCLONI3RQGK/action/replication_record"}},"created_at":"2026-07-27T01:20:48.251109+00:00","updated_at":"2026-07-27T01:20:48.251109+00:00"}