{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TKJTIHTUID5QF3EKGCN7L74WXJ","short_pith_number":"pith:TKJTIHTU","canonical_record":{"source":{"id":"2304.12043","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T12:38:09Z","cross_cats_sorted":[],"title_canon_sha256":"a31e2efbeb0a07b5e66e32c56db7ba983e6c4c9dea59500cf0332575681e62ea","abstract_canon_sha256":"4cbcd914ee840f907fe768b28e2f3ffdfaab181c8091c7e9618093c8d8725266"},"schema_version":"1.0"},"canonical_sha256":"9a93341e7440fb02ec8a309bf5ff96ba5bf1d64ca8fb83169a0da23a97ad3768","source":{"kind":"arxiv","id":"2304.12043","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.12043","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2304.12043v2","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.12043","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"TKJTIHTUID5Q","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"TKJTIHTUID5QF3EK","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"TKJTIHTU","created_at":"2026-07-05T06:37:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TKJTIHTUID5QF3EKGCN7L74WXJ","target":"record","payload":{"canonical_record":{"source":{"id":"2304.12043","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T12:38:09Z","cross_cats_sorted":[],"title_canon_sha256":"a31e2efbeb0a07b5e66e32c56db7ba983e6c4c9dea59500cf0332575681e62ea","abstract_canon_sha256":"4cbcd914ee840f907fe768b28e2f3ffdfaab181c8091c7e9618093c8d8725266"},"schema_version":"1.0"},"canonical_sha256":"9a93341e7440fb02ec8a309bf5ff96ba5bf1d64ca8fb83169a0da23a97ad3768","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:37:58.424017Z","signature_b64":"2A0tDjdm6E+2wIl77vUtN0nVV5dJd2lVYHizHO1el01hEkgGkww+mw+swSu1HLSqF7tUfY1lD5rnZizbzJB/BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a93341e7440fb02ec8a309bf5ff96ba5bf1d64ca8fb83169a0da23a97ad3768","last_reissued_at":"2026-07-05T06:37:58.423490Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:37:58.423490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.12043","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":"2026-07-05T06:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K5IHdcEd+od4dU3hn0ZgdeZn2jsIHcu6mKXqYlIkcZSRoK378yWpEIC+flZuAcQUaSXIAHrBDZ+IUYdC+5h5Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T01:39:48.557976Z"},"content_sha256":"bf9414f98c180c41793590bcaa4f3f8c15fe52925a1390e01eef272d90c1c6ef","schema_version":"1.0","event_id":"sha256:bf9414f98c180c41793590bcaa4f3f8c15fe52925a1390e01eef272d90c1c6ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TKJTIHTUID5QF3EKGCN7L74WXJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fan Zhang, Jun Liu, Qihao Zhao, Wei Hu, Yangyu Huang","submitted_at":"2023-04-24T12:38:09Z","abstract_excerpt":"The recently proposed data augmentation TransMix employs attention labels to help visual transformers (ViT) achieve better robustness and performance. However, TransMix is deficient in two aspects: 1) The image cropping method of TransMix may not be suitable for ViTs. 2) At the early stage of training, the model produces unreliable attention maps. TransMix uses unreliable attention maps to compute mixed attention labels that can affect the model. To address the aforementioned issues, we propose MaskMix and Progressive Attention Labeling (PAL) in image and label space, respectively. In detail, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.12043","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/2304.12043/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":"2026-07-05T06:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oj9m3iuwGs+joDGc2fYW+nm3QQdfoMDhPmLV7DvKNTdHZ+LFRNAjD+veLZb2sl+gDQVMhKL653/D6AKpJ5DYBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T01:39:48.558358Z"},"content_sha256":"97713087a9980c339ed6afbffce5f14eb0fbc18bdcc194e6f78f6b8b4a379844","schema_version":"1.0","event_id":"sha256:97713087a9980c339ed6afbffce5f14eb0fbc18bdcc194e6f78f6b8b4a379844"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TKJTIHTUID5QF3EKGCN7L74WXJ/bundle.json","state_url":"https://pith.science/pith/TKJTIHTUID5QF3EKGCN7L74WXJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TKJTIHTUID5QF3EKGCN7L74WXJ/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":"2026-07-10T01:39:48Z","links":{"resolver":"https://pith.science/pith/TKJTIHTUID5QF3EKGCN7L74WXJ","bundle":"https://pith.science/pith/TKJTIHTUID5QF3EKGCN7L74WXJ/bundle.json","state":"https://pith.science/pith/TKJTIHTUID5QF3EKGCN7L74WXJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TKJTIHTUID5QF3EKGCN7L74WXJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TKJTIHTUID5QF3EKGCN7L74WXJ","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":"4cbcd914ee840f907fe768b28e2f3ffdfaab181c8091c7e9618093c8d8725266","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T12:38:09Z","title_canon_sha256":"a31e2efbeb0a07b5e66e32c56db7ba983e6c4c9dea59500cf0332575681e62ea"},"schema_version":"1.0","source":{"id":"2304.12043","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.12043","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2304.12043v2","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.12043","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"TKJTIHTUID5Q","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"TKJTIHTUID5QF3EK","created_at":"2026-07-05T06:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"TKJTIHTU","created_at":"2026-07-05T06:37:58Z"}],"graph_snapshots":[{"event_id":"sha256:97713087a9980c339ed6afbffce5f14eb0fbc18bdcc194e6f78f6b8b4a379844","target":"graph","created_at":"2026-07-05T06:37:58Z","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/2304.12043/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recently proposed data augmentation TransMix employs attention labels to help visual transformers (ViT) achieve better robustness and performance. However, TransMix is deficient in two aspects: 1) The image cropping method of TransMix may not be suitable for ViTs. 2) At the early stage of training, the model produces unreliable attention maps. TransMix uses unreliable attention maps to compute mixed attention labels that can affect the model. To address the aforementioned issues, we propose MaskMix and Progressive Attention Labeling (PAL) in image and label space, respectively. In detail, ","authors_text":"Fan Zhang, Jun Liu, Qihao Zhao, Wei Hu, Yangyu Huang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T12:38:09Z","title":"MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.12043","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:bf9414f98c180c41793590bcaa4f3f8c15fe52925a1390e01eef272d90c1c6ef","target":"record","created_at":"2026-07-05T06:37:58Z","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":"4cbcd914ee840f907fe768b28e2f3ffdfaab181c8091c7e9618093c8d8725266","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T12:38:09Z","title_canon_sha256":"a31e2efbeb0a07b5e66e32c56db7ba983e6c4c9dea59500cf0332575681e62ea"},"schema_version":"1.0","source":{"id":"2304.12043","kind":"arxiv","version":2}},"canonical_sha256":"9a93341e7440fb02ec8a309bf5ff96ba5bf1d64ca8fb83169a0da23a97ad3768","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a93341e7440fb02ec8a309bf5ff96ba5bf1d64ca8fb83169a0da23a97ad3768","first_computed_at":"2026-07-05T06:37:58.423490Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:37:58.423490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2A0tDjdm6E+2wIl77vUtN0nVV5dJd2lVYHizHO1el01hEkgGkww+mw+swSu1HLSqF7tUfY1lD5rnZizbzJB/BA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:37:58.424017Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.12043","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf9414f98c180c41793590bcaa4f3f8c15fe52925a1390e01eef272d90c1c6ef","sha256:97713087a9980c339ed6afbffce5f14eb0fbc18bdcc194e6f78f6b8b4a379844"],"state_sha256":"2bc26ed3334a23056119514fb8a304363bc891092f41982d0d94bc6678d566b6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2fO2+2cLcNyImWFU11ZLgOw3sXtAuq1wtmqOEThD6h7AEJHB3uevezZt8r326SSCkdJ/iY1E2sCKIursdvuHAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T01:39:48.560214Z","bundle_sha256":"56bf3affa8d83c064176902d27a0217fe81517b76762aeb94254af1392aa1cc5"}}