{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2NZ2BBJOSO7XS5SMDEF2NA3RM7","short_pith_number":"pith:2NZ2BBJO","schema_version":"1.0","canonical_sha256":"d373a0852e93bf79764c190ba6837167fc7841bcc5a6204b8a76f5968ace4d37","source":{"kind":"arxiv","id":"2503.17456","version":1},"attestation_state":"computed","paper":{"title":"Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Abhishek Singhania, Preethi Jyothi, Sayambhu Sen, Soumen Kumar Mondal","submitted_at":"2025-03-21T18:08:11Z","abstract_excerpt":"Multilingual large language models (LLMs) aim towards robust natural language understanding across diverse languages, yet their performance significantly degrades on low-resource languages. This work explores whether existing techniques to identify language-specific neurons can be leveraged to enhance cross-lingual task performance of lowresource languages. We conduct detailed experiments covering existing language-specific neuron identification techniques (such as Language Activation Probability Entropy and activation probability-based thresholding) and neuron-specific LoRA fine-tuning with m"},"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":"2503.17456","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-21T18:08:11Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"39600b049de1807ae66b0eee04f6943026c59d225854e1953d1ccb505e8b204c","abstract_canon_sha256":"6dd79d6dc7fcf745cb038e2399ad23c3b5ad297de29819d5dc7a8303c8eb41bb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:37:09.729097Z","signature_b64":"BMdqRkJBv/4onV7VYCrrWT9b8qufo1hNp4IQZR/Xl3H4kOv4swdUGe19AtF60F/cgTu+bP/1gHZeS9Jw9W+jDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d373a0852e93bf79764c190ba6837167fc7841bcc5a6204b8a76f5968ace4d37","last_reissued_at":"2026-07-05T10:37:09.728615Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:37:09.728615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Abhishek Singhania, Preethi Jyothi, Sayambhu Sen, Soumen Kumar Mondal","submitted_at":"2025-03-21T18:08:11Z","abstract_excerpt":"Multilingual large language models (LLMs) aim towards robust natural language understanding across diverse languages, yet their performance significantly degrades on low-resource languages. This work explores whether existing techniques to identify language-specific neurons can be leveraged to enhance cross-lingual task performance of lowresource languages. We conduct detailed experiments covering existing language-specific neuron identification techniques (such as Language Activation Probability Entropy and activation probability-based thresholding) and neuron-specific LoRA fine-tuning with m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17456","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/2503.17456/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":"2503.17456","created_at":"2026-07-05T10:37:09.728671+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.17456v1","created_at":"2026-07-05T10:37:09.728671+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17456","created_at":"2026-07-05T10:37:09.728671+00:00"},{"alias_kind":"pith_short_12","alias_value":"2NZ2BBJOSO7X","created_at":"2026-07-05T10:37:09.728671+00:00"},{"alias_kind":"pith_short_16","alias_value":"2NZ2BBJOSO7XS5SM","created_at":"2026-07-05T10:37:09.728671+00:00"},{"alias_kind":"pith_short_8","alias_value":"2NZ2BBJO","created_at":"2026-07-05T10:37:09.728671+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.20279","citing_title":"What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations","ref_index":10,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7","json":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7.json","graph_json":"https://pith.science/api/pith-number/2NZ2BBJOSO7XS5SMDEF2NA3RM7/graph.json","events_json":"https://pith.science/api/pith-number/2NZ2BBJOSO7XS5SMDEF2NA3RM7/events.json","paper":"https://pith.science/paper/2NZ2BBJO"},"agent_actions":{"view_html":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7","download_json":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7.json","view_paper":"https://pith.science/paper/2NZ2BBJO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.17456&json=true","fetch_graph":"https://pith.science/api/pith-number/2NZ2BBJOSO7XS5SMDEF2NA3RM7/graph.json","fetch_events":"https://pith.science/api/pith-number/2NZ2BBJOSO7XS5SMDEF2NA3RM7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7/action/storage_attestation","attest_author":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7/action/author_attestation","sign_citation":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7/action/citation_signature","submit_replication":"https://pith.science/pith/2NZ2BBJOSO7XS5SMDEF2NA3RM7/action/replication_record"}},"created_at":"2026-07-05T10:37:09.728671+00:00","updated_at":"2026-07-05T10:37:09.728671+00:00"}