{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3CNCQVGVTQGDSHHPRNKJZW2LAD","short_pith_number":"pith:3CNCQVGV","canonical_record":{"source":{"id":"2511.07210","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-10T15:37:44Z","cross_cats_sorted":["cs.CR","cs.LG"],"title_canon_sha256":"b8f941efa89f8ca6d4844739c6be543267903dc4f127aa9efe5ef8a29201e492","abstract_canon_sha256":"674b4fc96da814e4880043a1a63fe106389774edb8ceca01b3f32ae1267314ac"},"schema_version":"1.0"},"canonical_sha256":"d89a2854d59c0c391cef8b549cdb4b00ca73242326d2a4a8885df1b7219e4f6b","source":{"kind":"arxiv","id":"2511.07210","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.07210","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"2511.07210v3","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.07210","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"3CNCQVGVTQGD","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"pith_short_16","alias_value":"3CNCQVGVTQGDSHHP","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"pith_short_8","alias_value":"3CNCQVGV","created_at":"2026-07-30T01:19:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3CNCQVGVTQGDSHHPRNKJZW2LAD","target":"record","payload":{"canonical_record":{"source":{"id":"2511.07210","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-10T15:37:44Z","cross_cats_sorted":["cs.CR","cs.LG"],"title_canon_sha256":"b8f941efa89f8ca6d4844739c6be543267903dc4f127aa9efe5ef8a29201e492","abstract_canon_sha256":"674b4fc96da814e4880043a1a63fe106389774edb8ceca01b3f32ae1267314ac"},"schema_version":"1.0"},"canonical_sha256":"d89a2854d59c0c391cef8b549cdb4b00ca73242326d2a4a8885df1b7219e4f6b","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d89a2854d59c0c391cef8b549cdb4b00ca73242326d2a4a8885df1b7219e4f6b","last_reissued_at":"2026-07-30T01:19:16.988842Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:19:16.988842Z"},"source_kind":"arxiv","source_id":"2511.07210","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":"2026-07-30T01:19:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dIsllnn6NtgA61Ib3KbTMeOcEyGC696rrZaehP3wjTi6p1+VXw+kPLeGUvuC2nBIEvXc1LM5fBRMYsFrAzqYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:03:10.876916Z"},"content_sha256":"2abcff6b6abcc7d1d537d78284ef80714a1f669e13d849a861da58724bfc401e","schema_version":"1.0","event_id":"sha256:2abcff6b6abcc7d1d537d78284ef80714a1f669e13d849a861da58724bfc401e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3CNCQVGVTQGDSHHPRNKJZW2LAD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Binyan Xu, Di Tang, Fan Yang, Kehuan Zhang, Xilin Dai","submitted_at":"2025-11-10T15:37:44Z","abstract_excerpt":"Clean-image backdoor attacks, which use only label manipulation in training datasets to compromise deep neural networks, pose a significant threat to security-critical applications. A critical flaw in existing methods is that the poison rate required for a successful attack induces a proportional, and thus noticeable, drop in Clean Accuracy (CA), undermining their stealthiness. This paper presents a new paradigm for clean-image attacks that minimizes this accuracy degradation by optimizing the trigger itself. We introduce Generative Clean-Image Backdoors (GCB), a framework that uses a conditio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.07210","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/2511.07210/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":"2026-07-30T01:19:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3HeyoQ1Iek2nbI3rWr/fVRVCxE/eU1MlN7fbR49GbHiGPpmSI2yYHRTQYXnDzmz++PASGJy3qdIea7RN5sQmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:03:10.877898Z"},"content_sha256":"d716b69d7db9be386c78346b9b2ce3502a3f5e26642d5bc89fb817e07e9d8eaf","schema_version":"1.0","event_id":"sha256:d716b69d7db9be386c78346b9b2ce3502a3f5e26642d5bc89fb817e07e9d8eaf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3CNCQVGVTQGDSHHPRNKJZW2LAD/bundle.json","state_url":"https://pith.science/pith/3CNCQVGVTQGDSHHPRNKJZW2LAD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3CNCQVGVTQGDSHHPRNKJZW2LAD/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":"2026-08-09T01:03:10Z","links":{"resolver":"https://pith.science/pith/3CNCQVGVTQGDSHHPRNKJZW2LAD","bundle":"https://pith.science/pith/3CNCQVGVTQGDSHHPRNKJZW2LAD/bundle.json","state":"https://pith.science/pith/3CNCQVGVTQGDSHHPRNKJZW2LAD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3CNCQVGVTQGDSHHPRNKJZW2LAD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3CNCQVGVTQGDSHHPRNKJZW2LAD","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":"674b4fc96da814e4880043a1a63fe106389774edb8ceca01b3f32ae1267314ac","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-10T15:37:44Z","title_canon_sha256":"b8f941efa89f8ca6d4844739c6be543267903dc4f127aa9efe5ef8a29201e492"},"schema_version":"1.0","source":{"id":"2511.07210","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.07210","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"2511.07210v3","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.07210","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"3CNCQVGVTQGD","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"pith_short_16","alias_value":"3CNCQVGVTQGDSHHP","created_at":"2026-07-30T01:19:16Z"},{"alias_kind":"pith_short_8","alias_value":"3CNCQVGV","created_at":"2026-07-30T01:19:16Z"}],"graph_snapshots":[{"event_id":"sha256:d716b69d7db9be386c78346b9b2ce3502a3f5e26642d5bc89fb817e07e9d8eaf","target":"graph","created_at":"2026-07-30T01:19:16Z","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/2511.07210/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clean-image backdoor attacks, which use only label manipulation in training datasets to compromise deep neural networks, pose a significant threat to security-critical applications. A critical flaw in existing methods is that the poison rate required for a successful attack induces a proportional, and thus noticeable, drop in Clean Accuracy (CA), undermining their stealthiness. This paper presents a new paradigm for clean-image attacks that minimizes this accuracy degradation by optimizing the trigger itself. We introduce Generative Clean-Image Backdoors (GCB), a framework that uses a conditio","authors_text":"Binyan Xu, Di Tang, Fan Yang, Kehuan Zhang, Xilin Dai","cross_cats":["cs.CR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-10T15:37:44Z","title":"Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.07210","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":"sha256:2abcff6b6abcc7d1d537d78284ef80714a1f669e13d849a861da58724bfc401e","target":"record","created_at":"2026-07-30T01:19:16Z","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":"674b4fc96da814e4880043a1a63fe106389774edb8ceca01b3f32ae1267314ac","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-10T15:37:44Z","title_canon_sha256":"b8f941efa89f8ca6d4844739c6be543267903dc4f127aa9efe5ef8a29201e492"},"schema_version":"1.0","source":{"id":"2511.07210","kind":"arxiv","version":3}},"canonical_sha256":"d89a2854d59c0c391cef8b549cdb4b00ca73242326d2a4a8885df1b7219e4f6b","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d89a2854d59c0c391cef8b549cdb4b00ca73242326d2a4a8885df1b7219e4f6b","first_computed_at":"2026-07-30T01:19:16.988842Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:19:16.988842Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2511.07210","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2abcff6b6abcc7d1d537d78284ef80714a1f669e13d849a861da58724bfc401e","sha256:d716b69d7db9be386c78346b9b2ce3502a3f5e26642d5bc89fb817e07e9d8eaf"],"state_sha256":"6a5af9cbe1f6e3b62acfcad93f73eb0a647cdb5ad18da45ff33480e2d1deb41b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MIOOoWVNeffsAYCu8G97GoGGl3XQ4LLXg+2Rp+ZaOmQlV2KffNLQflzaYiluR0k3gnFGXi4bb6rXGHnByzJSBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:03:10.884377Z","bundle_sha256":"a372726214bdfaf32a5f32b93f92606bbdb16c386d79809c1a4a804d458291e3"}}