{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KWM2AYUTZDHFV57RHBNK55J57H","short_pith_number":"pith:KWM2AYUT","canonical_record":{"source":{"id":"2103.14586","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-26T16:47:55Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"2a0bae6349068ae1ff861dabcf336b138c1e474758d3e7f376bf9536db43143d","abstract_canon_sha256":"51a54ee52eca7354b69ecfe57f8a7c605f23a5bc11162146b36efd8157dac525"},"schema_version":"1.0"},"canonical_sha256":"5599a06293c8ce5af7f1385aaef53df9d3cc347aa207538805687a9cd0d510b6","source":{"kind":"arxiv","id":"2103.14586","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.14586","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"2103.14586v2","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.14586","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"KWM2AYUTZDHF","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_16","alias_value":"KWM2AYUTZDHFV57R","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_8","alias_value":"KWM2AYUT","created_at":"2026-07-05T03:20:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KWM2AYUTZDHFV57RHBNK55J57H","target":"record","payload":{"canonical_record":{"source":{"id":"2103.14586","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-26T16:47:55Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"2a0bae6349068ae1ff861dabcf336b138c1e474758d3e7f376bf9536db43143d","abstract_canon_sha256":"51a54ee52eca7354b69ecfe57f8a7c605f23a5bc11162146b36efd8157dac525"},"schema_version":"1.0"},"canonical_sha256":"5599a06293c8ce5af7f1385aaef53df9d3cc347aa207538805687a9cd0d510b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:20:54.830900Z","signature_b64":"YNW1H0n2cDCU7+N4ox80UYUxmlfeU/SC2dcM6At492m/GMXNnHVtdIwyrktvdyok9AfYJmnYqcDgwgnprd6BAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5599a06293c8ce5af7f1385aaef53df9d3cc347aa207538805687a9cd0d510b6","last_reissued_at":"2026-07-05T03:20:54.830477Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:20:54.830477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.14586","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":"2026-07-05T03:20:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O96prtlweIK8XN8mYTKd2Zrlorropn1hARKFxkooJKFhZxogjAzsLnsAxn8O7a4IlZVott0gbdjQmXGdyXCKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:52:18.781771Z"},"content_sha256":"efcc241a0e37d40caed155ec8990e8c323f1303966306103c1aa95a521cc3a6a","schema_version":"1.0","event_id":"sha256:efcc241a0e37d40caed155ec8990e8c323f1303966306103c1aa95a521cc3a6a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KWM2AYUTZDHFV57RHBNK55J57H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Understanding Robustness of Transformers for Image Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Andreas Veit, Ayan Chakrabarti, Daliang Li, Daniel Glasner, Srinadh Bhojanapalli, Thomas Unterthiner","submitted_at":"2021-03-26T16:47:55Z","abstract_excerpt":"Deep Convolutional Neural Networks (CNNs) have long been the architecture of choice for computer vision tasks. Recently, Transformer-based architectures like Vision Transformer (ViT) have matched or even surpassed ResNets for image classification. However, details of the Transformer architecture -- such as the use of non-overlapping patches -- lead one to wonder whether these networks are as robust. In this paper, we perform an extensive study of a variety of different measures of robustness of ViT models and compare the findings to ResNet baselines. We investigate robustness to input perturba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.14586","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/2103.14586/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":"2026-07-05T03:20:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nbPfc+gTOuq5pQu86CuknbscZ/j8TZKT5baP1EMOyNU9Yx3fWzwRkDFHhc0TOOCNqIedA4yU/0Q53p69FA77Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:52:18.782114Z"},"content_sha256":"26ba8a7a8de4ea1f002efed330820455bb15d43061fa7633fd81add4b1d8448b","schema_version":"1.0","event_id":"sha256:26ba8a7a8de4ea1f002efed330820455bb15d43061fa7633fd81add4b1d8448b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KWM2AYUTZDHFV57RHBNK55J57H/bundle.json","state_url":"https://pith.science/pith/KWM2AYUTZDHFV57RHBNK55J57H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KWM2AYUTZDHFV57RHBNK55J57H/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":"2026-08-06T21:52:18Z","links":{"resolver":"https://pith.science/pith/KWM2AYUTZDHFV57RHBNK55J57H","bundle":"https://pith.science/pith/KWM2AYUTZDHFV57RHBNK55J57H/bundle.json","state":"https://pith.science/pith/KWM2AYUTZDHFV57RHBNK55J57H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KWM2AYUTZDHFV57RHBNK55J57H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KWM2AYUTZDHFV57RHBNK55J57H","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":"51a54ee52eca7354b69ecfe57f8a7c605f23a5bc11162146b36efd8157dac525","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-26T16:47:55Z","title_canon_sha256":"2a0bae6349068ae1ff861dabcf336b138c1e474758d3e7f376bf9536db43143d"},"schema_version":"1.0","source":{"id":"2103.14586","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.14586","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"2103.14586v2","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.14586","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"KWM2AYUTZDHF","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_16","alias_value":"KWM2AYUTZDHFV57R","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_8","alias_value":"KWM2AYUT","created_at":"2026-07-05T03:20:54Z"}],"graph_snapshots":[{"event_id":"sha256:26ba8a7a8de4ea1f002efed330820455bb15d43061fa7633fd81add4b1d8448b","target":"graph","created_at":"2026-07-05T03:20:54Z","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/2103.14586/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Convolutional Neural Networks (CNNs) have long been the architecture of choice for computer vision tasks. Recently, Transformer-based architectures like Vision Transformer (ViT) have matched or even surpassed ResNets for image classification. However, details of the Transformer architecture -- such as the use of non-overlapping patches -- lead one to wonder whether these networks are as robust. In this paper, we perform an extensive study of a variety of different measures of robustness of ViT models and compare the findings to ResNet baselines. We investigate robustness to input perturba","authors_text":"Andreas Veit, Ayan Chakrabarti, Daliang Li, Daniel Glasner, Srinadh Bhojanapalli, Thomas Unterthiner","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-26T16:47:55Z","title":"Understanding Robustness of Transformers for Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.14586","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:efcc241a0e37d40caed155ec8990e8c323f1303966306103c1aa95a521cc3a6a","target":"record","created_at":"2026-07-05T03:20:54Z","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":"51a54ee52eca7354b69ecfe57f8a7c605f23a5bc11162146b36efd8157dac525","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-26T16:47:55Z","title_canon_sha256":"2a0bae6349068ae1ff861dabcf336b138c1e474758d3e7f376bf9536db43143d"},"schema_version":"1.0","source":{"id":"2103.14586","kind":"arxiv","version":2}},"canonical_sha256":"5599a06293c8ce5af7f1385aaef53df9d3cc347aa207538805687a9cd0d510b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5599a06293c8ce5af7f1385aaef53df9d3cc347aa207538805687a9cd0d510b6","first_computed_at":"2026-07-05T03:20:54.830477Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:20:54.830477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YNW1H0n2cDCU7+N4ox80UYUxmlfeU/SC2dcM6At492m/GMXNnHVtdIwyrktvdyok9AfYJmnYqcDgwgnprd6BAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:20:54.830900Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.14586","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:efcc241a0e37d40caed155ec8990e8c323f1303966306103c1aa95a521cc3a6a","sha256:26ba8a7a8de4ea1f002efed330820455bb15d43061fa7633fd81add4b1d8448b"],"state_sha256":"dd6682ff0686439d3a5ea1ecab010e931f2469ef9f241c40cb58e95b60cbe342"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ZlZHL7TCDgN0q1OqBfXO5YztGGvLTC4GwtOcLWsZ5VuxTsr5UUgLMtWc9pPLHu4J6DH5Xtv4cdchGdWqs+zBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:52:18.785953Z","bundle_sha256":"be86b44ed0c9c081b0330dd18df9ca83d3c3a986c2aae09e784fbf75cb6206c3"}}