{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:Q6UHZBVDHX44DIC2Q3RI62CPOI","short_pith_number":"pith:Q6UHZBVD","schema_version":"1.0","canonical_sha256":"87a87c86a33df9c1a05a86e28f684f7233f118d08b7b186fc03d70d05c88001a","source":{"kind":"arxiv","id":"2606.23132","version":1},"attestation_state":"computed","paper":{"title":"T-VSS: Test-Time Visual Subspace Steering for Adversarial Robustness of Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changick Kim, Jaehyuk Jang, Kangwook Ko, Minseok Seo. Seungju Cho","submitted_at":"2026-06-22T10:21:24Z","abstract_excerpt":"Vision-language models (VLMs) achieve strong zero-shot recognition, but they remain highly vulnerable to adversarial perturbations. Recent test-time adaptations improve robustness without retraining, but they do not directly adapt the corrupted visual representation itself. Prompt-based methods adapt the learnable text prompts, while input-space methods optimize pixels or padding at test time. These approaches can improve predictions, but they do so through an indirect and expensive optimization path. We propose Test-time Visual Subspace Steering (T-VSS), a lightweight defense that performs te"},"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":"2606.23132","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T10:21:24Z","cross_cats_sorted":[],"title_canon_sha256":"4167e5a4ec77e2106e1f329cef575db9868b74fa66ae108ce182a21225654d17","abstract_canon_sha256":"9073fcdfe0d0f9f864486d3ab0a3dd2c3673e57972021aeecc605bb8e9930f21"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T03:14:10.842628Z","signature_b64":"ZvoXAtxI8xV6Wtpi1dwfVTWfg6Mygzw8TYYsuZu9X5j4R4y2RzhbQNhsZn3ZOHJAgnSLmkIHOsHOwB7QtEc1DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87a87c86a33df9c1a05a86e28f684f7233f118d08b7b186fc03d70d05c88001a","last_reissued_at":"2026-06-23T03:14:10.842228Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T03:14:10.842228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"T-VSS: Test-Time Visual Subspace Steering for Adversarial Robustness of Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changick Kim, Jaehyuk Jang, Kangwook Ko, Minseok Seo. Seungju Cho","submitted_at":"2026-06-22T10:21:24Z","abstract_excerpt":"Vision-language models (VLMs) achieve strong zero-shot recognition, but they remain highly vulnerable to adversarial perturbations. Recent test-time adaptations improve robustness without retraining, but they do not directly adapt the corrupted visual representation itself. Prompt-based methods adapt the learnable text prompts, while input-space methods optimize pixels or padding at test time. These approaches can improve predictions, but they do so through an indirect and expensive optimization path. We propose Test-time Visual Subspace Steering (T-VSS), a lightweight defense that performs te"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23132","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/2606.23132/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":"2606.23132","created_at":"2026-06-23T03:14:10.842284+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.23132v1","created_at":"2026-06-23T03:14:10.842284+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23132","created_at":"2026-06-23T03:14:10.842284+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q6UHZBVDHX44","created_at":"2026-06-23T03:14:10.842284+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q6UHZBVDHX44DIC2","created_at":"2026-06-23T03:14:10.842284+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q6UHZBVD","created_at":"2026-06-23T03:14:10.842284+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/Q6UHZBVDHX44DIC2Q3RI62CPOI","json":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI.json","graph_json":"https://pith.science/api/pith-number/Q6UHZBVDHX44DIC2Q3RI62CPOI/graph.json","events_json":"https://pith.science/api/pith-number/Q6UHZBVDHX44DIC2Q3RI62CPOI/events.json","paper":"https://pith.science/paper/Q6UHZBVD"},"agent_actions":{"view_html":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI","download_json":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI.json","view_paper":"https://pith.science/paper/Q6UHZBVD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.23132&json=true","fetch_graph":"https://pith.science/api/pith-number/Q6UHZBVDHX44DIC2Q3RI62CPOI/graph.json","fetch_events":"https://pith.science/api/pith-number/Q6UHZBVDHX44DIC2Q3RI62CPOI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI/action/storage_attestation","attest_author":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI/action/author_attestation","sign_citation":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI/action/citation_signature","submit_replication":"https://pith.science/pith/Q6UHZBVDHX44DIC2Q3RI62CPOI/action/replication_record"}},"created_at":"2026-06-23T03:14:10.842284+00:00","updated_at":"2026-06-23T03:14:10.842284+00:00"}