{"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"}