{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:J2N4UVB76ER7TS76MMADLMSGKR","short_pith_number":"pith:J2N4UVB7","canonical_record":{"source":{"id":"2601.21531","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-01-29T10:47:21Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"2acca2860c2299ffffcbdbb4b86ad2f9c83f7f36e3e62a49ca5c52a47c09e195","abstract_canon_sha256":"0837c565843940325f41ccb290ca55adfa0e066a064161293374d985161fb3cc"},"schema_version":"1.0"},"canonical_sha256":"4e9bca543ff123f9cbfe630035b2465458239316375c4bb426c4abbfdb6e86fb","source":{"kind":"arxiv","id":"2601.21531","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.21531","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"arxiv_version","alias_value":"2601.21531v2","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.21531","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"pith_short_12","alias_value":"J2N4UVB76ER7","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"pith_short_16","alias_value":"J2N4UVB76ER7TS76","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"pith_short_8","alias_value":"J2N4UVB7","created_at":"2026-05-20T00:03:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:J2N4UVB76ER7TS76MMADLMSGKR","target":"record","payload":{"canonical_record":{"source":{"id":"2601.21531","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-01-29T10:47:21Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"2acca2860c2299ffffcbdbb4b86ad2f9c83f7f36e3e62a49ca5c52a47c09e195","abstract_canon_sha256":"0837c565843940325f41ccb290ca55adfa0e066a064161293374d985161fb3cc"},"schema_version":"1.0"},"canonical_sha256":"4e9bca543ff123f9cbfe630035b2465458239316375c4bb426c4abbfdb6e86fb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:03:03.567780Z","signature_b64":"kDuAeAf2z0+EFHC+cuPab8rAnHxXpzV3kIxSwHIyFDsPM9vltXnrgyCXsoonWchjZq/ryKnByV8zItdMeewLCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e9bca543ff123f9cbfe630035b2465458239316375c4bb426c4abbfdb6e86fb","last_reissued_at":"2026-05-20T00:03:03.566928Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:03:03.566928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.21531","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:03:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qFv6tqg/WaGfo0tP6p60oPaTXZk2Dj1pvTd0cvjx8n971FMTSBqxnf16v/L6FRZHYEltsJ6IL3w04wTIq1PSAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:46:26.404951Z"},"content_sha256":"d6130f94d5d94830a0e2033187275007781dcada39df891bd235294e46c44346","schema_version":"1.0","event_id":"sha256:d6130f94d5d94830a0e2033187275007781dcada39df891bd235294e46c44346"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:J2N4UVB76ER7TS76MMADLMSGKR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CR","authors_text":"Haibo Hu, Hangcheng Liu, Hao Wang, Li Bai, Qingqing Ye, Tianwei Zhang, Xinwei Zhang","submitted_at":"2026-01-29T10:47:21Z","abstract_excerpt":"Visual token compression is widely used to accelerate large vision-language models (LVLMs) by pruning or merging visual tokens, yet its adversarial robustness remains unexplored. We show that existing encoder-based attacks cannot fully disclose the robustness vulnerabilities of compressed LVLMs, due to an optimization-inference mismatch: perturbations are optimized on the full-token representation, while inference is performed through a token-compression bottleneck. To address this gap, we propose the Compression-AliGnEd attack (CAGE), which aligns perturbation optimization with compression in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.21531","kind":"arxiv","version":2},"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/2601.21531/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":"2026-05-20T00:03:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JcCWPr/PKFmNQ0jfi2EIGcKo1Z+tBxlPkULkn+jJTP3DztEV5vfMvpeYdDiR52wIGnfbhqg9ITPQ5XfaICV0Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:46:26.405354Z"},"content_sha256":"5a0e50aa7deb705f23e7d058dca98fc039d774bf8cb0747589b50e606835da6d","schema_version":"1.0","event_id":"sha256:5a0e50aa7deb705f23e7d058dca98fc039d774bf8cb0747589b50e606835da6d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J2N4UVB76ER7TS76MMADLMSGKR/bundle.json","state_url":"https://pith.science/pith/J2N4UVB76ER7TS76MMADLMSGKR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J2N4UVB76ER7TS76MMADLMSGKR/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":"2026-05-26T02:46:26Z","links":{"resolver":"https://pith.science/pith/J2N4UVB76ER7TS76MMADLMSGKR","bundle":"https://pith.science/pith/J2N4UVB76ER7TS76MMADLMSGKR/bundle.json","state":"https://pith.science/pith/J2N4UVB76ER7TS76MMADLMSGKR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J2N4UVB76ER7TS76MMADLMSGKR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:J2N4UVB76ER7TS76MMADLMSGKR","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":"0837c565843940325f41ccb290ca55adfa0e066a064161293374d985161fb3cc","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-01-29T10:47:21Z","title_canon_sha256":"2acca2860c2299ffffcbdbb4b86ad2f9c83f7f36e3e62a49ca5c52a47c09e195"},"schema_version":"1.0","source":{"id":"2601.21531","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.21531","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"arxiv_version","alias_value":"2601.21531v2","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.21531","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"pith_short_12","alias_value":"J2N4UVB76ER7","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"pith_short_16","alias_value":"J2N4UVB76ER7TS76","created_at":"2026-05-20T00:03:03Z"},{"alias_kind":"pith_short_8","alias_value":"J2N4UVB7","created_at":"2026-05-20T00:03:03Z"}],"graph_snapshots":[{"event_id":"sha256:5a0e50aa7deb705f23e7d058dca98fc039d774bf8cb0747589b50e606835da6d","target":"graph","created_at":"2026-05-20T00:03:03Z","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/2601.21531/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual token compression is widely used to accelerate large vision-language models (LVLMs) by pruning or merging visual tokens, yet its adversarial robustness remains unexplored. We show that existing encoder-based attacks cannot fully disclose the robustness vulnerabilities of compressed LVLMs, due to an optimization-inference mismatch: perturbations are optimized on the full-token representation, while inference is performed through a token-compression bottleneck. To address this gap, we propose the Compression-AliGnEd attack (CAGE), which aligns perturbation optimization with compression in","authors_text":"Haibo Hu, Hangcheng Liu, Hao Wang, Li Bai, Qingqing Ye, Tianwei Zhang, Xinwei Zhang","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-01-29T10:47:21Z","title":"On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.21531","kind":"arxiv","version":2},"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:d6130f94d5d94830a0e2033187275007781dcada39df891bd235294e46c44346","target":"record","created_at":"2026-05-20T00:03:03Z","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":"0837c565843940325f41ccb290ca55adfa0e066a064161293374d985161fb3cc","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-01-29T10:47:21Z","title_canon_sha256":"2acca2860c2299ffffcbdbb4b86ad2f9c83f7f36e3e62a49ca5c52a47c09e195"},"schema_version":"1.0","source":{"id":"2601.21531","kind":"arxiv","version":2}},"canonical_sha256":"4e9bca543ff123f9cbfe630035b2465458239316375c4bb426c4abbfdb6e86fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e9bca543ff123f9cbfe630035b2465458239316375c4bb426c4abbfdb6e86fb","first_computed_at":"2026-05-20T00:03:03.566928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:03:03.566928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kDuAeAf2z0+EFHC+cuPab8rAnHxXpzV3kIxSwHIyFDsPM9vltXnrgyCXsoonWchjZq/ryKnByV8zItdMeewLCw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:03:03.567780Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.21531","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6130f94d5d94830a0e2033187275007781dcada39df891bd235294e46c44346","sha256:5a0e50aa7deb705f23e7d058dca98fc039d774bf8cb0747589b50e606835da6d"],"state_sha256":"cb3b1fb9d5e8108673ce1ffebbb4172116180d29612d4552a0780db7ff6c9bfb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h3ymxkS2QctOR4sPePHZ0Zx8LgleNmBZZFUkt8Zdy9xNlLiDJICKoaz+u7u6eb3jxBzTTykNpeSLZlWE9AfCDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T02:46:26.408051Z","bundle_sha256":"57cb9fd9f5f0a5c6854417922b9db62b3c5896ef15cfe1f3a1cf4d2c4129ffca"}}