{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3MQXSW3HDQFTK35MZ523TDITZX","short_pith_number":"pith:3MQXSW3H","canonical_record":{"source":{"id":"2308.10729","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T13:54:00Z","cross_cats_sorted":[],"title_canon_sha256":"acae5aa9e92e7b29c46d2b9d16b1d7afe026247f0d104d8efbb2d8e50d4ba642","abstract_canon_sha256":"281d5cbbf33bdd9311df9135523f2a6163c3195d25f27980531a51faf9251560"},"schema_version":"1.0"},"canonical_sha256":"db21795b671c0b356faccf75b98d13cdcaf9ef5441061f4a7d8c3680885f6b4a","source":{"kind":"arxiv","id":"2308.10729","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10729","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10729v1","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10729","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"pith_short_12","alias_value":"3MQXSW3HDQFT","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"pith_short_16","alias_value":"3MQXSW3HDQFTK35M","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"pith_short_8","alias_value":"3MQXSW3H","created_at":"2026-07-05T06:43:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3MQXSW3HDQFTK35MZ523TDITZX","target":"record","payload":{"canonical_record":{"source":{"id":"2308.10729","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T13:54:00Z","cross_cats_sorted":[],"title_canon_sha256":"acae5aa9e92e7b29c46d2b9d16b1d7afe026247f0d104d8efbb2d8e50d4ba642","abstract_canon_sha256":"281d5cbbf33bdd9311df9135523f2a6163c3195d25f27980531a51faf9251560"},"schema_version":"1.0"},"canonical_sha256":"db21795b671c0b356faccf75b98d13cdcaf9ef5441061f4a7d8c3680885f6b4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:43:13.612816Z","signature_b64":"9nH+OV10cCsJmY7JhpvtlznyMHzhSUXimPodTDxMcrGUXsTw2f4SgzcqqRxHVEajDD2GFDkiWYItWgJ7JWsBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db21795b671c0b356faccf75b98d13cdcaf9ef5441061f4a7d8c3680885f6b4a","last_reissued_at":"2026-07-05T06:43:13.612276Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:43:13.612276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.10729","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":"2026-07-05T06:43:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kICl4X34oAqEhydv2zVkVlpf9A8yTth7KQRj3BtoFUapMwB5vq7wRVo8KJTDPoU+Ub2csW3ZnGhblnBWbKtXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:42:53.057531Z"},"content_sha256":"ce566a506169a07985d4ef77278ba7b177eb070961e25175c41b905d468d914f","schema_version":"1.0","event_id":"sha256:ce566a506169a07985d4ef77278ba7b177eb070961e25175c41b905d468d914f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3MQXSW3HDQFTK35MZ523TDITZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Patch Is Not All You Need","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changzhen Li, Jie Zhang, Jinfeng Bai, Shiguang Shan, Yang Wei, Zhilong Ji","submitted_at":"2023-08-21T13:54:00Z","abstract_excerpt":"Vision Transformers have achieved great success in computer visions, delivering exceptional performance across various tasks. However, their inherent reliance on sequential input enforces the manual partitioning of images into patch sequences, which disrupts the image's inherent structural and semantic continuity. To handle this, we propose a novel Pattern Transformer (Patternformer) to adaptively convert images to pattern sequences for Transformer input. Specifically, we employ the Convolutional Neural Network to extract various patterns from the input image, with each channel representing a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10729","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/2308.10729/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":"2026-07-05T06:43:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wOY+GlAnvZKtU22fUyZFpEZWG0FhL8a+rBlY6lr44RMUDVpYQY8oXLq6N51jMFqmUUMUTnfCo8cnE7FEvlbVCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:42:53.058060Z"},"content_sha256":"98c3dd5afd21917ddc44d01c80702095ac9790ba1384b2284e3b13f67c4add52","schema_version":"1.0","event_id":"sha256:98c3dd5afd21917ddc44d01c80702095ac9790ba1384b2284e3b13f67c4add52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3MQXSW3HDQFTK35MZ523TDITZX/bundle.json","state_url":"https://pith.science/pith/3MQXSW3HDQFTK35MZ523TDITZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3MQXSW3HDQFTK35MZ523TDITZX/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":"2026-08-05T20:42:53Z","links":{"resolver":"https://pith.science/pith/3MQXSW3HDQFTK35MZ523TDITZX","bundle":"https://pith.science/pith/3MQXSW3HDQFTK35MZ523TDITZX/bundle.json","state":"https://pith.science/pith/3MQXSW3HDQFTK35MZ523TDITZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3MQXSW3HDQFTK35MZ523TDITZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3MQXSW3HDQFTK35MZ523TDITZX","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":"281d5cbbf33bdd9311df9135523f2a6163c3195d25f27980531a51faf9251560","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T13:54:00Z","title_canon_sha256":"acae5aa9e92e7b29c46d2b9d16b1d7afe026247f0d104d8efbb2d8e50d4ba642"},"schema_version":"1.0","source":{"id":"2308.10729","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10729","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10729v1","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10729","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"pith_short_12","alias_value":"3MQXSW3HDQFT","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"pith_short_16","alias_value":"3MQXSW3HDQFTK35M","created_at":"2026-07-05T06:43:13Z"},{"alias_kind":"pith_short_8","alias_value":"3MQXSW3H","created_at":"2026-07-05T06:43:13Z"}],"graph_snapshots":[{"event_id":"sha256:98c3dd5afd21917ddc44d01c80702095ac9790ba1384b2284e3b13f67c4add52","target":"graph","created_at":"2026-07-05T06:43:13Z","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/2308.10729/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision Transformers have achieved great success in computer visions, delivering exceptional performance across various tasks. However, their inherent reliance on sequential input enforces the manual partitioning of images into patch sequences, which disrupts the image's inherent structural and semantic continuity. To handle this, we propose a novel Pattern Transformer (Patternformer) to adaptively convert images to pattern sequences for Transformer input. Specifically, we employ the Convolutional Neural Network to extract various patterns from the input image, with each channel representing a ","authors_text":"Changzhen Li, Jie Zhang, Jinfeng Bai, Shiguang Shan, Yang Wei, Zhilong Ji","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T13:54:00Z","title":"Patch Is Not All You Need"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10729","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:ce566a506169a07985d4ef77278ba7b177eb070961e25175c41b905d468d914f","target":"record","created_at":"2026-07-05T06:43:13Z","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":"281d5cbbf33bdd9311df9135523f2a6163c3195d25f27980531a51faf9251560","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T13:54:00Z","title_canon_sha256":"acae5aa9e92e7b29c46d2b9d16b1d7afe026247f0d104d8efbb2d8e50d4ba642"},"schema_version":"1.0","source":{"id":"2308.10729","kind":"arxiv","version":1}},"canonical_sha256":"db21795b671c0b356faccf75b98d13cdcaf9ef5441061f4a7d8c3680885f6b4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db21795b671c0b356faccf75b98d13cdcaf9ef5441061f4a7d8c3680885f6b4a","first_computed_at":"2026-07-05T06:43:13.612276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:43:13.612276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9nH+OV10cCsJmY7JhpvtlznyMHzhSUXimPodTDxMcrGUXsTw2f4SgzcqqRxHVEajDD2GFDkiWYItWgJ7JWsBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:43:13.612816Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.10729","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce566a506169a07985d4ef77278ba7b177eb070961e25175c41b905d468d914f","sha256:98c3dd5afd21917ddc44d01c80702095ac9790ba1384b2284e3b13f67c4add52"],"state_sha256":"f19726fd05e2a7932a3efeffe8412bd5e537246e25675e220a6cb0e890dbb31f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uEkV82jC2fUdpmv9iegvxDWrlJoatyHnWEIzssQyZXTDkb2bcs4VCDRXx/4Eyh4eTJ0OB7S4l+pW7bj6z6pEAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T20:42:53.063648Z","bundle_sha256":"bc34899ec5a13e29271f90a15b51d6bcc8378851a4763df9f54c30088667d8d3"}}