{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:M3KU4I2MPOZGL4J3NBVZFIUOPX","short_pith_number":"pith:M3KU4I2M","canonical_record":{"source":{"id":"2508.18381","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-25T18:15:25Z","cross_cats_sorted":[],"title_canon_sha256":"2be8691a69972648cbf5acb238104d4252c6d615ac263f112a7fbf582dd1fd4e","abstract_canon_sha256":"bbf2c781e13d9cb6306ba883ed26f174f9d052a742619a36fc4cd5bc5a138500"},"schema_version":"1.0"},"canonical_sha256":"66d54e234c7bb265f13b686b92a28e7df4daf9679655a8e514964c50baca3afe","source":{"kind":"arxiv","id":"2508.18381","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.18381","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"arxiv_version","alias_value":"2508.18381v1","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.18381","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"pith_short_12","alias_value":"M3KU4I2MPOZG","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"pith_short_16","alias_value":"M3KU4I2MPOZGL4J3","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"pith_short_8","alias_value":"M3KU4I2M","created_at":"2026-07-05T11:59:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:M3KU4I2MPOZGL4J3NBVZFIUOPX","target":"record","payload":{"canonical_record":{"source":{"id":"2508.18381","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-25T18:15:25Z","cross_cats_sorted":[],"title_canon_sha256":"2be8691a69972648cbf5acb238104d4252c6d615ac263f112a7fbf582dd1fd4e","abstract_canon_sha256":"bbf2c781e13d9cb6306ba883ed26f174f9d052a742619a36fc4cd5bc5a138500"},"schema_version":"1.0"},"canonical_sha256":"66d54e234c7bb265f13b686b92a28e7df4daf9679655a8e514964c50baca3afe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:59:23.272915Z","signature_b64":"9fNHLjO9gadMlv50rG8Icnkow38JcygekpFsra+6cFBTi646m58R+Yr2er5KyyFzqfT8xFuUTki+oJNGCCwxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66d54e234c7bb265f13b686b92a28e7df4daf9679655a8e514964c50baca3afe","last_reissued_at":"2026-07-05T11:59:23.272478Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:59:23.272478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.18381","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:59:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fpkTdLJr8o5QQ5q/oSbAC2oO+KCFzPm/6dbqdbGVmKsLEz5OrOF9XH3/NgwrnBwktiEkYK08yX3+FyyqeD5NDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:52:11.068998Z"},"content_sha256":"400e1d742715d26e23d8b85d8b7c29291e4b4e46d55b730d003321439484830b","schema_version":"1.0","event_id":"sha256:400e1d742715d26e23d8b85d8b7c29291e4b4e46d55b730d003321439484830b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:M3KU4I2MPOZGL4J3NBVZFIUOPX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bei Li, Jingbo Zhu, Lei Huang, Tong Xiao, Xiaocheng Feng, Yilin Wang, Yongyu Mu, Yuchun Fan","submitted_at":"2025-08-25T18:15:25Z","abstract_excerpt":"Large vision-language models (LVLMs) have demonstrated exceptional capabilities in understanding visual information with human languages but also exhibit an imbalance in multilingual capabilities. In this work, we delve into the multilingual working pattern of LVLMs and identify a salient correlation between the multilingual understanding ability of LVLMs and language-specific neuron activations in shallow layers. Building on this insight, we introduce PLAST, a training recipe that achieves efficient multilingual enhancement for LVLMs by Precise LAnguage-Specific layers fine-Tuning. PLAST firs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.18381","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/2508.18381/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:59:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xck6F1k79LzE92TBNCrgzLKdf1g18cAHb0BFIlmtgrGhs3S/wugDpmz8nJwmvicQpIJHEzMdoSn3gNOMID4RCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:52:11.069614Z"},"content_sha256":"7148c6a5db8992571dca0ce3eceb01132ae04316a63c67df798e1a350cbab30a","schema_version":"1.0","event_id":"sha256:7148c6a5db8992571dca0ce3eceb01132ae04316a63c67df798e1a350cbab30a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M3KU4I2MPOZGL4J3NBVZFIUOPX/bundle.json","state_url":"https://pith.science/pith/M3KU4I2MPOZGL4J3NBVZFIUOPX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M3KU4I2MPOZGL4J3NBVZFIUOPX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T22:52:11Z","links":{"resolver":"https://pith.science/pith/M3KU4I2MPOZGL4J3NBVZFIUOPX","bundle":"https://pith.science/pith/M3KU4I2MPOZGL4J3NBVZFIUOPX/bundle.json","state":"https://pith.science/pith/M3KU4I2MPOZGL4J3NBVZFIUOPX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M3KU4I2MPOZGL4J3NBVZFIUOPX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:M3KU4I2MPOZGL4J3NBVZFIUOPX","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":"bbf2c781e13d9cb6306ba883ed26f174f9d052a742619a36fc4cd5bc5a138500","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-25T18:15:25Z","title_canon_sha256":"2be8691a69972648cbf5acb238104d4252c6d615ac263f112a7fbf582dd1fd4e"},"schema_version":"1.0","source":{"id":"2508.18381","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.18381","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"arxiv_version","alias_value":"2508.18381v1","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.18381","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"pith_short_12","alias_value":"M3KU4I2MPOZG","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"pith_short_16","alias_value":"M3KU4I2MPOZGL4J3","created_at":"2026-07-05T11:59:23Z"},{"alias_kind":"pith_short_8","alias_value":"M3KU4I2M","created_at":"2026-07-05T11:59:23Z"}],"graph_snapshots":[{"event_id":"sha256:7148c6a5db8992571dca0ce3eceb01132ae04316a63c67df798e1a350cbab30a","target":"graph","created_at":"2026-07-05T11:59:23Z","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/2508.18381/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large vision-language models (LVLMs) have demonstrated exceptional capabilities in understanding visual information with human languages but also exhibit an imbalance in multilingual capabilities. In this work, we delve into the multilingual working pattern of LVLMs and identify a salient correlation between the multilingual understanding ability of LVLMs and language-specific neuron activations in shallow layers. Building on this insight, we introduce PLAST, a training recipe that achieves efficient multilingual enhancement for LVLMs by Precise LAnguage-Specific layers fine-Tuning. PLAST firs","authors_text":"Bei Li, Jingbo Zhu, Lei Huang, Tong Xiao, Xiaocheng Feng, Yilin Wang, Yongyu Mu, Yuchun Fan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-25T18:15:25Z","title":"Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.18381","kind":"arxiv","version":1},"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":"sha256:400e1d742715d26e23d8b85d8b7c29291e4b4e46d55b730d003321439484830b","target":"record","created_at":"2026-07-05T11:59:23Z","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":"bbf2c781e13d9cb6306ba883ed26f174f9d052a742619a36fc4cd5bc5a138500","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-25T18:15:25Z","title_canon_sha256":"2be8691a69972648cbf5acb238104d4252c6d615ac263f112a7fbf582dd1fd4e"},"schema_version":"1.0","source":{"id":"2508.18381","kind":"arxiv","version":1}},"canonical_sha256":"66d54e234c7bb265f13b686b92a28e7df4daf9679655a8e514964c50baca3afe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66d54e234c7bb265f13b686b92a28e7df4daf9679655a8e514964c50baca3afe","first_computed_at":"2026-07-05T11:59:23.272478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:23.272478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9fNHLjO9gadMlv50rG8Icnkow38JcygekpFsra+6cFBTi646m58R+Yr2er5KyyFzqfT8xFuUTki+oJNGCCwxAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:23.272915Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.18381","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:400e1d742715d26e23d8b85d8b7c29291e4b4e46d55b730d003321439484830b","sha256:7148c6a5db8992571dca0ce3eceb01132ae04316a63c67df798e1a350cbab30a"],"state_sha256":"50cea25a80b8a27f71bcb705c8aa73f5c17c0cc7668d2b0bafeddb90c3a27679"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zR3r1MFOppULtmeCnqhFnivzaoC08QdRspE3bTge/Kzz50hhx0Z+vec25lkI6g4TCiOKZlQQ8EKoGVkphveVCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T22:52:11.076553Z","bundle_sha256":"961b191fa7fa8034326aab8a851b52d0766c64188bb55e2f4013c987ffd93235"}}