{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RVGW4OCCHA7QWEMABGRDC5QAFW","short_pith_number":"pith:RVGW4OCC","canonical_record":{"source":{"id":"2405.14115","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T02:42:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5990cf1dad8ab015370ec274d11433f16d707f7ad066c66b7c75feb05a25b534","abstract_canon_sha256":"e85d7d2f849b9b18b5a734042e6079fb03ed76659735859081f3ecbf708cf647"},"schema_version":"1.0"},"canonical_sha256":"8d4d6e3842383f0b118009a23176002d957bdbcb0f6108a51560aa12cffeec53","source":{"kind":"arxiv","id":"2405.14115","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14115","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14115v1","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14115","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"pith_short_12","alias_value":"RVGW4OCCHA7Q","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"pith_short_16","alias_value":"RVGW4OCCHA7QWEMA","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"pith_short_8","alias_value":"RVGW4OCC","created_at":"2026-07-05T08:22:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RVGW4OCCHA7QWEMABGRDC5QAFW","target":"record","payload":{"canonical_record":{"source":{"id":"2405.14115","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T02:42:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5990cf1dad8ab015370ec274d11433f16d707f7ad066c66b7c75feb05a25b534","abstract_canon_sha256":"e85d7d2f849b9b18b5a734042e6079fb03ed76659735859081f3ecbf708cf647"},"schema_version":"1.0"},"canonical_sha256":"8d4d6e3842383f0b118009a23176002d957bdbcb0f6108a51560aa12cffeec53","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:10.478536Z","signature_b64":"HWMRYaeC7JXbmaNTygp09HGK6yxXKq6ylPdTxGGkbFyi1Oov/3FmnY2eFZKW11WyVVRQBrA/TlDVbYbpefStAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d4d6e3842383f0b118009a23176002d957bdbcb0f6108a51560aa12cffeec53","last_reissued_at":"2026-07-05T08:22:10.478111Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:10.478111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.14115","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:22:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9IMMYfmMXyrSfBzxC+n/uTcaGhzgjIXnLQLRYxPEA7GaZJ09CoiCLG+Fp7p7kRHXKLUJfqV8OiifrOpiwpSmAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T00:11:41.840969Z"},"content_sha256":"508131b113cb7c7a8613b83b7c3a3f0d44cc989c358d2f7e60f9743b3a67756b","schema_version":"1.0","event_id":"sha256:508131b113cb7c7a8613b83b7c3a3f0d44cc989c358d2f7e60f9743b3a67756b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RVGW4OCCHA7QWEMABGRDC5QAFW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Bum Jun Kim, Sang Woo Kim","submitted_at":"2024-05-23T02:42:32Z","abstract_excerpt":"Vision transformers (ViTs) have demonstrated remarkable performance in a variety of vision tasks. Despite their promising capabilities, training a ViT requires a large amount of diverse data. Several studies empirically found that using rich data augmentations, such as Mixup, Cutmix, and random erasing, is critical to the successful training of ViTs. Now, the use of rich data augmentations has become a standard practice in the current state. However, we report a vulnerability to this practice: Certain data augmentations such as Mixup cause a variance shift in the positional embedding of ViT, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14115","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/2405.14115/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":"2026-07-05T08:22:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jaW2OWpHKwc6OtEoje5Vqf/FbpqYq2OYObi/eVuRwofSUazYMfcHHG0wPfJC/pUk/nEoG00f6h6r//RSvHtxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T00:11:41.841355Z"},"content_sha256":"8fdd35b33226f795da9192a91fe649dd751a63d97d9a9d6d8772af8592f4fcb5","schema_version":"1.0","event_id":"sha256:8fdd35b33226f795da9192a91fe649dd751a63d97d9a9d6d8772af8592f4fcb5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RVGW4OCCHA7QWEMABGRDC5QAFW/bundle.json","state_url":"https://pith.science/pith/RVGW4OCCHA7QWEMABGRDC5QAFW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RVGW4OCCHA7QWEMABGRDC5QAFW/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":"2026-07-16T00:11:41Z","links":{"resolver":"https://pith.science/pith/RVGW4OCCHA7QWEMABGRDC5QAFW","bundle":"https://pith.science/pith/RVGW4OCCHA7QWEMABGRDC5QAFW/bundle.json","state":"https://pith.science/pith/RVGW4OCCHA7QWEMABGRDC5QAFW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RVGW4OCCHA7QWEMABGRDC5QAFW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RVGW4OCCHA7QWEMABGRDC5QAFW","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":"e85d7d2f849b9b18b5a734042e6079fb03ed76659735859081f3ecbf708cf647","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T02:42:32Z","title_canon_sha256":"5990cf1dad8ab015370ec274d11433f16d707f7ad066c66b7c75feb05a25b534"},"schema_version":"1.0","source":{"id":"2405.14115","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14115","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14115v1","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14115","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"pith_short_12","alias_value":"RVGW4OCCHA7Q","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"pith_short_16","alias_value":"RVGW4OCCHA7QWEMA","created_at":"2026-07-05T08:22:10Z"},{"alias_kind":"pith_short_8","alias_value":"RVGW4OCC","created_at":"2026-07-05T08:22:10Z"}],"graph_snapshots":[{"event_id":"sha256:8fdd35b33226f795da9192a91fe649dd751a63d97d9a9d6d8772af8592f4fcb5","target":"graph","created_at":"2026-07-05T08:22:10Z","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/2405.14115/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision transformers (ViTs) have demonstrated remarkable performance in a variety of vision tasks. Despite their promising capabilities, training a ViT requires a large amount of diverse data. Several studies empirically found that using rich data augmentations, such as Mixup, Cutmix, and random erasing, is critical to the successful training of ViTs. Now, the use of rich data augmentations has become a standard practice in the current state. However, we report a vulnerability to this practice: Certain data augmentations such as Mixup cause a variance shift in the positional embedding of ViT, w","authors_text":"Bum Jun Kim, Sang Woo Kim","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T02:42:32Z","title":"Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14115","kind":"arxiv","version":1},"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":"sha256:508131b113cb7c7a8613b83b7c3a3f0d44cc989c358d2f7e60f9743b3a67756b","target":"record","created_at":"2026-07-05T08:22:10Z","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":"e85d7d2f849b9b18b5a734042e6079fb03ed76659735859081f3ecbf708cf647","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T02:42:32Z","title_canon_sha256":"5990cf1dad8ab015370ec274d11433f16d707f7ad066c66b7c75feb05a25b534"},"schema_version":"1.0","source":{"id":"2405.14115","kind":"arxiv","version":1}},"canonical_sha256":"8d4d6e3842383f0b118009a23176002d957bdbcb0f6108a51560aa12cffeec53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d4d6e3842383f0b118009a23176002d957bdbcb0f6108a51560aa12cffeec53","first_computed_at":"2026-07-05T08:22:10.478111Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:10.478111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HWMRYaeC7JXbmaNTygp09HGK6yxXKq6ylPdTxGGkbFyi1Oov/3FmnY2eFZKW11WyVVRQBrA/TlDVbYbpefStAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:10.478536Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14115","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:508131b113cb7c7a8613b83b7c3a3f0d44cc989c358d2f7e60f9743b3a67756b","sha256:8fdd35b33226f795da9192a91fe649dd751a63d97d9a9d6d8772af8592f4fcb5"],"state_sha256":"3f0e58b5041cf715e23c5e26d63c63ab2473662397a858e126f8f9689b10a2c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mjLq+/UU5FdwenotJXuEjXQi3Wr1PuUlF3hRIhHFTvEEZLPb2KwxEEcBdC6GxnKfUmI39YidaaCDQzFvQc4lDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T00:11:41.843514Z","bundle_sha256":"1ebe8e61fcf74af8c5186d59e3ea7714ff3dc19010ebed0fb1b189542a5d8c75"}}