{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:P3COLSG63WFLQNMB7BXXGB77C3","short_pith_number":"pith:P3COLSG6","schema_version":"1.0","canonical_sha256":"7ec4e5c8dedd8ab83581f86f7307ff16e36ee4264337bc9a44b9f24b32a3a6d9","source":{"kind":"arxiv","id":"2608.05634","version":1},"attestation_state":"computed","paper":{"title":"MEC-Patch: Visible-Infrared Cross-Modal Adversarial Attack Driven by Intrinsic Material Emissivity Laws","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Lu Yang, Peng Wang, Wenxuan Wang, Xinbo Nie, Xin Li, Xuelin Qian, Zhixiang Huang","submitted_at":"2026-08-06T06:07:55Z","abstract_excerpt":"With the widespread deployment of visible-infrared multimodal perception systems in safety-critical domains such as autonomous driving, evaluating their cross-modal adversarial robustness has become increasingly vital. However, existing approaches exhibit significant limitations in approximating the intrinsic laws of imaging. Most studies either focus on a single modality, failing to bypass cross-modal verification, or simplify infrared modeling into heuristic pixel-intensity distributions, neglecting the impact of ambient temperature fluctuations on adversarial stability. To bridge this gap, "},"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":"2608.05634","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MM","submitted_at":"2026-08-06T06:07:55Z","cross_cats_sorted":[],"title_canon_sha256":"18573d6b80fab62b898ab97a3451004f9185df6f0bcc298479edfb26cc2dd75e","abstract_canon_sha256":"a96bfd2aef6da797f21c8afdb1cbdafc1e503ecafc403c0dddad2e0f407c81a0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T00:52:01.929676Z","signature_b64":"ATIbhA6wM8n2Yz1wBf28Xj8OBApHx4NEHnbaZ2+yUw2IbSJKkkUj57klExUyVKaDjjIzQvU1EtVdZFq2CWgyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ec4e5c8dedd8ab83581f86f7307ff16e36ee4264337bc9a44b9f24b32a3a6d9","last_reissued_at":"2026-08-07T00:52:01.927029Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T00:52:01.927029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MEC-Patch: Visible-Infrared Cross-Modal Adversarial Attack Driven by Intrinsic Material Emissivity Laws","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Lu Yang, Peng Wang, Wenxuan Wang, Xinbo Nie, Xin Li, Xuelin Qian, Zhixiang Huang","submitted_at":"2026-08-06T06:07:55Z","abstract_excerpt":"With the widespread deployment of visible-infrared multimodal perception systems in safety-critical domains such as autonomous driving, evaluating their cross-modal adversarial robustness has become increasingly vital. However, existing approaches exhibit significant limitations in approximating the intrinsic laws of imaging. Most studies either focus on a single modality, failing to bypass cross-modal verification, or simplify infrared modeling into heuristic pixel-intensity distributions, neglecting the impact of ambient temperature fluctuations on adversarial stability. To bridge this gap, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.05634","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/2608.05634/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":"2608.05634","created_at":"2026-08-07T00:52:01.929371+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.05634v1","created_at":"2026-08-07T00:52:01.929371+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.05634","created_at":"2026-08-07T00:52:01.929371+00:00"},{"alias_kind":"pith_short_12","alias_value":"P3COLSG63WFL","created_at":"2026-08-07T00:52:01.929371+00:00"},{"alias_kind":"pith_short_16","alias_value":"P3COLSG63WFLQNMB","created_at":"2026-08-07T00:52:01.929371+00:00"},{"alias_kind":"pith_short_8","alias_value":"P3COLSG6","created_at":"2026-08-07T00:52:01.929371+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/P3COLSG63WFLQNMB7BXXGB77C3","json":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3.json","graph_json":"https://pith.science/api/pith-number/P3COLSG63WFLQNMB7BXXGB77C3/graph.json","events_json":"https://pith.science/api/pith-number/P3COLSG63WFLQNMB7BXXGB77C3/events.json","paper":"https://pith.science/paper/P3COLSG6"},"agent_actions":{"view_html":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3","download_json":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3.json","view_paper":"https://pith.science/paper/P3COLSG6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.05634&json=true","fetch_graph":"https://pith.science/api/pith-number/P3COLSG63WFLQNMB7BXXGB77C3/graph.json","fetch_events":"https://pith.science/api/pith-number/P3COLSG63WFLQNMB7BXXGB77C3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3/action/storage_attestation","attest_author":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3/action/author_attestation","sign_citation":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3/action/citation_signature","submit_replication":"https://pith.science/pith/P3COLSG63WFLQNMB7BXXGB77C3/action/replication_record"}},"created_at":"2026-08-07T00:52:01.929371+00:00","updated_at":"2026-08-07T00:52:01.929371+00:00"}