{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:EB7Z2VCAHIMN7GIGJ7YZBQHYFI","short_pith_number":"pith:EB7Z2VCA","schema_version":"1.0","canonical_sha256":"207f9d54403a18df99064ff190c0f82a09434b50f622f73017b520153c3386de","source":{"kind":"arxiv","id":"2607.28969","version":1},"attestation_state":"computed","paper":{"title":"SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cong Wang, Fei Shen, Jian Wang, Jian Yu, Jinhui Tang, Lu Jin.Xiaoyu Du, Tat-Seng Chua","submitted_at":"2026-07-31T02:45:56Z","abstract_excerpt":"Although Large Language Models (LLMs) have demonstrated promising safety performance, extending them to Multimodal Large Language Models (MLLMs) exposes a significant gap between expanded multimodal capabilities and existing safety mechanisms. Current defenses remain predominantly confined to specific modal settings, thereby limiting their robustness against broader cross-modal threats. To bridge this gap, we introduce SafeNexus, a cross-modal safety alignment framework that adopts a dedicated neuron-level intervention strategy. First, we formulate a neuron localization paradigm that identifie"},"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":"2607.28969","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-31T02:45:56Z","cross_cats_sorted":[],"title_canon_sha256":"c83057d3a61ab1500675e53d9e6178ac3033d8e047ccf7e71cd77bc90e185222","abstract_canon_sha256":"1b8b419962c013cb38463c3e92d868df81ccffc85b4bc85b0b2e7cdef916770e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:17:50.053317Z","signature_b64":"Vmn1W1hk7+wzEg9gKBBNodiH/aCkbgJvWMwPNTNGrm28AqJP7FoBGShHSoCWzL5/MzHhLsItvTtucX+Yj64RBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"207f9d54403a18df99064ff190c0f82a09434b50f622f73017b520153c3386de","last_reissued_at":"2026-08-03T01:17:50.051808Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:17:50.051808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cong Wang, Fei Shen, Jian Wang, Jian Yu, Jinhui Tang, Lu Jin.Xiaoyu Du, Tat-Seng Chua","submitted_at":"2026-07-31T02:45:56Z","abstract_excerpt":"Although Large Language Models (LLMs) have demonstrated promising safety performance, extending them to Multimodal Large Language Models (MLLMs) exposes a significant gap between expanded multimodal capabilities and existing safety mechanisms. Current defenses remain predominantly confined to specific modal settings, thereby limiting their robustness against broader cross-modal threats. To bridge this gap, we introduce SafeNexus, a cross-modal safety alignment framework that adopts a dedicated neuron-level intervention strategy. First, we formulate a neuron localization paradigm that identifie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28969","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/2607.28969/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":"2607.28969","created_at":"2026-08-03T01:17:50.052738+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.28969v1","created_at":"2026-08-03T01:17:50.052738+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28969","created_at":"2026-08-03T01:17:50.052738+00:00"},{"alias_kind":"pith_short_12","alias_value":"EB7Z2VCAHIMN","created_at":"2026-08-03T01:17:50.052738+00:00"},{"alias_kind":"pith_short_16","alias_value":"EB7Z2VCAHIMN7GIG","created_at":"2026-08-03T01:17:50.052738+00:00"},{"alias_kind":"pith_short_8","alias_value":"EB7Z2VCA","created_at":"2026-08-03T01:17:50.052738+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/EB7Z2VCAHIMN7GIGJ7YZBQHYFI","json":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI.json","graph_json":"https://pith.science/api/pith-number/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/graph.json","events_json":"https://pith.science/api/pith-number/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/events.json","paper":"https://pith.science/paper/EB7Z2VCA"},"agent_actions":{"view_html":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI","download_json":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI.json","view_paper":"https://pith.science/paper/EB7Z2VCA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.28969&json=true","fetch_graph":"https://pith.science/api/pith-number/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/graph.json","fetch_events":"https://pith.science/api/pith-number/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/action/storage_attestation","attest_author":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/action/author_attestation","sign_citation":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/action/citation_signature","submit_replication":"https://pith.science/pith/EB7Z2VCAHIMN7GIGJ7YZBQHYFI/action/replication_record"}},"created_at":"2026-08-03T01:17:50.052738+00:00","updated_at":"2026-08-03T01:17:50.052738+00:00"}