{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MKYDJWZVGOBLTDAORCEGYX25ZJ","short_pith_number":"pith:MKYDJWZV","canonical_record":{"source":{"id":"2502.12562","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T05:57:35Z","cross_cats_sorted":["cs.CR","cs.MM"],"title_canon_sha256":"2c1321939ebbd65755af23d35da3ebdbf2ac4a7518504d6093bf82a10f6e07d6","abstract_canon_sha256":"f1bfa86162459e8dbf4a89a94c484057b866071e377b0261deb928c1bf7d85f5"},"schema_version":"1.0"},"canonical_sha256":"62b034db353382b98c0e88886c5f5dca514f9ea6ede1150a851aa355c8fdc495","source":{"kind":"arxiv","id":"2502.12562","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12562","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12562v3","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12562","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"pith_short_12","alias_value":"MKYDJWZVGOBL","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"pith_short_16","alias_value":"MKYDJWZVGOBLTDAO","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"pith_short_8","alias_value":"MKYDJWZV","created_at":"2026-07-05T11:14:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MKYDJWZVGOBLTDAORCEGYX25ZJ","target":"record","payload":{"canonical_record":{"source":{"id":"2502.12562","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T05:57:35Z","cross_cats_sorted":["cs.CR","cs.MM"],"title_canon_sha256":"2c1321939ebbd65755af23d35da3ebdbf2ac4a7518504d6093bf82a10f6e07d6","abstract_canon_sha256":"f1bfa86162459e8dbf4a89a94c484057b866071e377b0261deb928c1bf7d85f5"},"schema_version":"1.0"},"canonical_sha256":"62b034db353382b98c0e88886c5f5dca514f9ea6ede1150a851aa355c8fdc495","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:27.486355Z","signature_b64":"GC+2AZx//Yd0i2zukbx0w+pr5rFxv2puWCHcAYKbhBsi9ANXY3jzAAE0YrERR+HfkPwg8QC92M6LtHNsscQRAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62b034db353382b98c0e88886c5f5dca514f9ea6ede1150a851aa355c8fdc495","last_reissued_at":"2026-07-05T11:14:27.485858Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:27.485858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.12562","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:14:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"54hkKghhk/oX0m7EGP7wdzB3URa8RG8fS8BWBjipM68vHbhHI8Uwlg4teTCplmQr2hH5dXGmoaahwno9OaP2AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:16:57.796490Z"},"content_sha256":"34bb20bb1a753b9295f3a257c0356caea8317f87d45c8064d6ff2b6c32a81cf8","schema_version":"1.0","event_id":"sha256:34bb20bb1a753b9295f3a257c0356caea8317f87d45c8064d6ff2b6c32a81cf8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MKYDJWZVGOBLTDAORCEGYX25ZJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.MM"],"primary_cat":"cs.CL","authors_text":"Cen Chen, Hao Peng, Huiping Zhuang, Weikai Lu, Ziqian Zeng","submitted_at":"2025-02-18T05:57:35Z","abstract_excerpt":"Multimodal Large Language Models (MLLMs) have serious security vulnerabilities.While safety alignment using multimodal datasets consisting of text and data of additional modalities can effectively enhance MLLM's security, it is costly to construct these datasets. Existing low-resource security alignment methods, including textual alignment, have been found to struggle with the security risks posed by additional modalities. To address this, we propose Synthetic Embedding augmented safety Alignment (SEA), which optimizes embeddings of additional modality through gradient updates to expand textua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12562","kind":"arxiv","version":3},"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/2502.12562/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":"2026-07-05T11:14:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ds+EoHQ3I/GRWKxGEdTXI3L6ZUnExNBiV4TOa/QO5+VIP8NKPlk8zKteiTKPZedepXMxIIHQOoXti4aoVjcfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:16:57.797058Z"},"content_sha256":"6c79aa74f3d2bee7be8f2efaa424a2d3fd3d626e0f27f6fd84ad7dd848a468d7","schema_version":"1.0","event_id":"sha256:6c79aa74f3d2bee7be8f2efaa424a2d3fd3d626e0f27f6fd84ad7dd848a468d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ/bundle.json","state_url":"https://pith.science/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ/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":"2026-08-05T15:16:57Z","links":{"resolver":"https://pith.science/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ","bundle":"https://pith.science/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ/bundle.json","state":"https://pith.science/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MKYDJWZVGOBLTDAORCEGYX25ZJ","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":"f1bfa86162459e8dbf4a89a94c484057b866071e377b0261deb928c1bf7d85f5","cross_cats_sorted":["cs.CR","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T05:57:35Z","title_canon_sha256":"2c1321939ebbd65755af23d35da3ebdbf2ac4a7518504d6093bf82a10f6e07d6"},"schema_version":"1.0","source":{"id":"2502.12562","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12562","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12562v3","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12562","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"pith_short_12","alias_value":"MKYDJWZVGOBL","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"pith_short_16","alias_value":"MKYDJWZVGOBLTDAO","created_at":"2026-07-05T11:14:27Z"},{"alias_kind":"pith_short_8","alias_value":"MKYDJWZV","created_at":"2026-07-05T11:14:27Z"}],"graph_snapshots":[{"event_id":"sha256:6c79aa74f3d2bee7be8f2efaa424a2d3fd3d626e0f27f6fd84ad7dd848a468d7","target":"graph","created_at":"2026-07-05T11:14:27Z","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/2502.12562/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal Large Language Models (MLLMs) have serious security vulnerabilities.While safety alignment using multimodal datasets consisting of text and data of additional modalities can effectively enhance MLLM's security, it is costly to construct these datasets. Existing low-resource security alignment methods, including textual alignment, have been found to struggle with the security risks posed by additional modalities. To address this, we propose Synthetic Embedding augmented safety Alignment (SEA), which optimizes embeddings of additional modality through gradient updates to expand textua","authors_text":"Cen Chen, Hao Peng, Huiping Zhuang, Weikai Lu, Ziqian Zeng","cross_cats":["cs.CR","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T05:57:35Z","title":"SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12562","kind":"arxiv","version":3},"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":"sha256:34bb20bb1a753b9295f3a257c0356caea8317f87d45c8064d6ff2b6c32a81cf8","target":"record","created_at":"2026-07-05T11:14:27Z","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":"f1bfa86162459e8dbf4a89a94c484057b866071e377b0261deb928c1bf7d85f5","cross_cats_sorted":["cs.CR","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T05:57:35Z","title_canon_sha256":"2c1321939ebbd65755af23d35da3ebdbf2ac4a7518504d6093bf82a10f6e07d6"},"schema_version":"1.0","source":{"id":"2502.12562","kind":"arxiv","version":3}},"canonical_sha256":"62b034db353382b98c0e88886c5f5dca514f9ea6ede1150a851aa355c8fdc495","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62b034db353382b98c0e88886c5f5dca514f9ea6ede1150a851aa355c8fdc495","first_computed_at":"2026-07-05T11:14:27.485858Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:27.485858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GC+2AZx//Yd0i2zukbx0w+pr5rFxv2puWCHcAYKbhBsi9ANXY3jzAAE0YrERR+HfkPwg8QC92M6LtHNsscQRAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:27.486355Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.12562","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34bb20bb1a753b9295f3a257c0356caea8317f87d45c8064d6ff2b6c32a81cf8","sha256:6c79aa74f3d2bee7be8f2efaa424a2d3fd3d626e0f27f6fd84ad7dd848a468d7"],"state_sha256":"208edaaef9185066e6fcaecd6e91bdbc271f8aa742eed744c3e8c580ede0c95c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p65kFwWytsLdUARsCTt8MmVKeO2aqKznF21ypVLWlU8JxIIEOdNeInyvvDZRIAJE0FSwLniQMGKYxkuy1FZODw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:16:57.800842Z","bundle_sha256":"905fcc32cae88a3efc86127d72b44eec15b2b0a1c3206d5012f8cf4d5e9ea331"}}