{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7GHXM65S7N2QIM52KSMC6R3HS6","short_pith_number":"pith:7GHXM65S","canonical_record":{"source":{"id":"2103.15670","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T14:48:24Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b07ae2ed6c1c2a2c02b5307137c555f99cd67a716b9b1773e174435325b352a5","abstract_canon_sha256":"375d5c3af65fcca9fcaf00b0b80090467a84ebf12ff1deb346dd352faac7de20"},"schema_version":"1.0"},"canonical_sha256":"f98f767bb2fb750433ba54982f4767979e13a11d66cae657b84c69a0a33d5203","source":{"kind":"arxiv","id":"2103.15670","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15670","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15670v3","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15670","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"pith_short_12","alias_value":"7GHXM65S7N2Q","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"pith_short_16","alias_value":"7GHXM65S7N2QIM52","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"pith_short_8","alias_value":"7GHXM65S","created_at":"2026-07-05T05:12:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7GHXM65S7N2QIM52KSMC6R3HS6","target":"record","payload":{"canonical_record":{"source":{"id":"2103.15670","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T14:48:24Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b07ae2ed6c1c2a2c02b5307137c555f99cd67a716b9b1773e174435325b352a5","abstract_canon_sha256":"375d5c3af65fcca9fcaf00b0b80090467a84ebf12ff1deb346dd352faac7de20"},"schema_version":"1.0"},"canonical_sha256":"f98f767bb2fb750433ba54982f4767979e13a11d66cae657b84c69a0a33d5203","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:47.999348Z","signature_b64":"oaQbZUnxHxQg5w8LKcOhM9if20qFQdx6gR38RzCRBpWtza/i5cwAELT7zBzFccvNYB5632wyjvvmz0OTQGUaCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f98f767bb2fb750433ba54982f4767979e13a11d66cae657b84c69a0a33d5203","last_reissued_at":"2026-07-05T05:12:47.998855Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:47.998855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.15670","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":"2026-07-05T05:12:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"icSKH8M0TjmeKOH7ua64kkNiF6FPv4732ftLP9KkuwpgcTHOkNX5WgSH9uegN0STVh04NNKi6taY3QmlURnJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:19:06.754543Z"},"content_sha256":"230b00605ca25035d163d6a84dce8c6ca712384070dfbd09013df58a816b5fd0","schema_version":"1.0","event_id":"sha256:230b00605ca25035d163d6a84dce8c6ca712384070dfbd09013df58a816b5fd0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7GHXM65S7N2QIM52KSMC6R3HS6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Adversarial Robustness of Vision Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Cho-Jui Hsieh, Jinfeng Yi, Pin-Yu Chen, Rulin Shao, Zhouxing Shi","submitted_at":"2021-03-29T14:48:24Z","abstract_excerpt":"Following the success in advancing natural language processing and understanding, transformers are expected to bring revolutionary changes to computer vision. This work provides a comprehensive study on the robustness of vision transformers (ViTs) against adversarial perturbations. Tested on various white-box and transfer attack settings, we find that ViTs possess better adversarial robustness when compared with MLP-Mixer and convolutional neural networks (CNNs) including ConvNeXt, and this observation also holds for certified robustness. Through frequency analysis and feature visualization, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15670","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/2103.15670/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":"2026-07-05T05:12:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3dh0ZHbxPjyvGqOo8Gxmi8PiDydBQFGkN96NNbEpeMpcBQQ4b+c72rUDkIu7zNq2j6aJzzlO0cg+dN5zcvEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:19:06.755049Z"},"content_sha256":"1c2723dc24d5809e84154b0573e0c558ecd3a2f245de357d1f754115c589317b","schema_version":"1.0","event_id":"sha256:1c2723dc24d5809e84154b0573e0c558ecd3a2f245de357d1f754115c589317b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7GHXM65S7N2QIM52KSMC6R3HS6/bundle.json","state_url":"https://pith.science/pith/7GHXM65S7N2QIM52KSMC6R3HS6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7GHXM65S7N2QIM52KSMC6R3HS6/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":"2026-08-08T17:19:06Z","links":{"resolver":"https://pith.science/pith/7GHXM65S7N2QIM52KSMC6R3HS6","bundle":"https://pith.science/pith/7GHXM65S7N2QIM52KSMC6R3HS6/bundle.json","state":"https://pith.science/pith/7GHXM65S7N2QIM52KSMC6R3HS6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7GHXM65S7N2QIM52KSMC6R3HS6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7GHXM65S7N2QIM52KSMC6R3HS6","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":"375d5c3af65fcca9fcaf00b0b80090467a84ebf12ff1deb346dd352faac7de20","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T14:48:24Z","title_canon_sha256":"b07ae2ed6c1c2a2c02b5307137c555f99cd67a716b9b1773e174435325b352a5"},"schema_version":"1.0","source":{"id":"2103.15670","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15670","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15670v3","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15670","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"pith_short_12","alias_value":"7GHXM65S7N2Q","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"pith_short_16","alias_value":"7GHXM65S7N2QIM52","created_at":"2026-07-05T05:12:47Z"},{"alias_kind":"pith_short_8","alias_value":"7GHXM65S","created_at":"2026-07-05T05:12:47Z"}],"graph_snapshots":[{"event_id":"sha256:1c2723dc24d5809e84154b0573e0c558ecd3a2f245de357d1f754115c589317b","target":"graph","created_at":"2026-07-05T05:12:47Z","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/2103.15670/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Following the success in advancing natural language processing and understanding, transformers are expected to bring revolutionary changes to computer vision. This work provides a comprehensive study on the robustness of vision transformers (ViTs) against adversarial perturbations. Tested on various white-box and transfer attack settings, we find that ViTs possess better adversarial robustness when compared with MLP-Mixer and convolutional neural networks (CNNs) including ConvNeXt, and this observation also holds for certified robustness. Through frequency analysis and feature visualization, w","authors_text":"Cho-Jui Hsieh, Jinfeng Yi, Pin-Yu Chen, Rulin Shao, Zhouxing Shi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T14:48:24Z","title":"On the Adversarial Robustness of Vision Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15670","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":"sha256:230b00605ca25035d163d6a84dce8c6ca712384070dfbd09013df58a816b5fd0","target":"record","created_at":"2026-07-05T05:12:47Z","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":"375d5c3af65fcca9fcaf00b0b80090467a84ebf12ff1deb346dd352faac7de20","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T14:48:24Z","title_canon_sha256":"b07ae2ed6c1c2a2c02b5307137c555f99cd67a716b9b1773e174435325b352a5"},"schema_version":"1.0","source":{"id":"2103.15670","kind":"arxiv","version":3}},"canonical_sha256":"f98f767bb2fb750433ba54982f4767979e13a11d66cae657b84c69a0a33d5203","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f98f767bb2fb750433ba54982f4767979e13a11d66cae657b84c69a0a33d5203","first_computed_at":"2026-07-05T05:12:47.998855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:47.998855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oaQbZUnxHxQg5w8LKcOhM9if20qFQdx6gR38RzCRBpWtza/i5cwAELT7zBzFccvNYB5632wyjvvmz0OTQGUaCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:47.999348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.15670","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:230b00605ca25035d163d6a84dce8c6ca712384070dfbd09013df58a816b5fd0","sha256:1c2723dc24d5809e84154b0573e0c558ecd3a2f245de357d1f754115c589317b"],"state_sha256":"7feda28334f0fb8172bf2ff708463cf31a5ffbef6b599e26ed3fdc74dd9ff649"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AzPsAYMX7w9K/n26PZtESbz09sYk0bGEIa8CyMWxv7lu2hdUzDXH+Fe3J3ci0rXSRAI65YD9dfP7FdeCHVUKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:19:06.759018Z","bundle_sha256":"635b21b9f85c70bb72fa0ba76b8966c6b29e66e7bc4fba7315d2a928711138b8"}}