{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:O7PKK2MCAZA55MWCEQOBW26PS6","short_pith_number":"pith:O7PKK2MC","canonical_record":{"source":{"id":"2305.09880","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T01:27:27Z","cross_cats_sorted":[],"title_canon_sha256":"9083c15e179379d5e84f32b47004a888957aca95b14e6f41a73f3e573ab678a7","abstract_canon_sha256":"132b1ab7508840506a5ed0ce0e75382259802fb219050c35178e0db889cc6807"},"schema_version":"1.0"},"canonical_sha256":"77dea569820641deb2c2241c1b6bcf9786f0fdf8d77f048bbbcfd62a0b08390d","source":{"kind":"arxiv","id":"2305.09880","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09880","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09880v4","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09880","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"pith_short_12","alias_value":"O7PKK2MCAZA5","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"pith_short_16","alias_value":"O7PKK2MCAZA55MWC","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"pith_short_8","alias_value":"O7PKK2MC","created_at":"2026-07-05T08:48:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:O7PKK2MCAZA55MWCEQOBW26PS6","target":"record","payload":{"canonical_record":{"source":{"id":"2305.09880","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T01:27:27Z","cross_cats_sorted":[],"title_canon_sha256":"9083c15e179379d5e84f32b47004a888957aca95b14e6f41a73f3e573ab678a7","abstract_canon_sha256":"132b1ab7508840506a5ed0ce0e75382259802fb219050c35178e0db889cc6807"},"schema_version":"1.0"},"canonical_sha256":"77dea569820641deb2c2241c1b6bcf9786f0fdf8d77f048bbbcfd62a0b08390d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:48:57.716037Z","signature_b64":"ykF8lBUFVN7vXr9pC0rYtOJ6JckSiL47gmueCcHpBKNTNbqyjwPu/egnacindJeSzBuJcdlEsXQlPKaNS9e/DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77dea569820641deb2c2241c1b6bcf9786f0fdf8d77f048bbbcfd62a0b08390d","last_reissued_at":"2026-07-05T08:48:57.715594Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:48:57.715594Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.09880","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:48:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ImEAMXzXws/5CN0f1CieVZa4phwL/R1e2s44FrdlpSdSif/3Xiqlvd9kbYt/xsVc2zU1B0G7Ct6uLVpRAlm5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:36:07.115637Z"},"content_sha256":"5bc3dfb6e8008a0b42a4cb38cb4a5b92df8202f0508b32c667baa80d794c5f9f","schema_version":"1.0","event_id":"sha256:5bc3dfb6e8008a0b42a4cb38cb4a5b92df8202f0508b32c667baa80d794c5f9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:O7PKK2MCAZA55MWCEQOBW26PS6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A survey of the Vision Transformers and their CNN-Transformer based Variants","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdul Rehman, Anabia Sohail, Aqsa Asif, Asifullah Khan, Hifsa Asif, Umair Farooq, Zunaira Rauf","submitted_at":"2023-05-17T01:27:27Z","abstract_excerpt":"Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their ability to focus on global relationships in images, offer large learning capacity. However, they may suffer from limited generalization as they do not tend to model local correlation in images. Recently, in vision transformers hybridization of both the convolution operation and self-attention mechanism has emerged, to exploit both the local and global image representations. These hybrid vision transformers, also r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09880","kind":"arxiv","version":4},"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/2305.09880/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":"2026-07-05T08:48:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KhGJ6TZoC3DvEiv2KaOStIa9rtkKqjI9nHPufZ4YeVWsjy7D6sfNd/0LYQEJ2RgvX2/5WDMNfiiGJV5HLNr2CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:36:07.116538Z"},"content_sha256":"25099470efd1a2e78336796da1d066d5c255a5e2f3e227cea57bfd748d23c93f","schema_version":"1.0","event_id":"sha256:25099470efd1a2e78336796da1d066d5c255a5e2f3e227cea57bfd748d23c93f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O7PKK2MCAZA55MWCEQOBW26PS6/bundle.json","state_url":"https://pith.science/pith/O7PKK2MCAZA55MWCEQOBW26PS6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O7PKK2MCAZA55MWCEQOBW26PS6/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":"2026-08-05T15:36:07Z","links":{"resolver":"https://pith.science/pith/O7PKK2MCAZA55MWCEQOBW26PS6","bundle":"https://pith.science/pith/O7PKK2MCAZA55MWCEQOBW26PS6/bundle.json","state":"https://pith.science/pith/O7PKK2MCAZA55MWCEQOBW26PS6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O7PKK2MCAZA55MWCEQOBW26PS6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:O7PKK2MCAZA55MWCEQOBW26PS6","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":"132b1ab7508840506a5ed0ce0e75382259802fb219050c35178e0db889cc6807","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T01:27:27Z","title_canon_sha256":"9083c15e179379d5e84f32b47004a888957aca95b14e6f41a73f3e573ab678a7"},"schema_version":"1.0","source":{"id":"2305.09880","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09880","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09880v4","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09880","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"pith_short_12","alias_value":"O7PKK2MCAZA5","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"pith_short_16","alias_value":"O7PKK2MCAZA55MWC","created_at":"2026-07-05T08:48:57Z"},{"alias_kind":"pith_short_8","alias_value":"O7PKK2MC","created_at":"2026-07-05T08:48:57Z"}],"graph_snapshots":[{"event_id":"sha256:25099470efd1a2e78336796da1d066d5c255a5e2f3e227cea57bfd748d23c93f","target":"graph","created_at":"2026-07-05T08:48:57Z","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/2305.09880/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their ability to focus on global relationships in images, offer large learning capacity. However, they may suffer from limited generalization as they do not tend to model local correlation in images. Recently, in vision transformers hybridization of both the convolution operation and self-attention mechanism has emerged, to exploit both the local and global image representations. These hybrid vision transformers, also r","authors_text":"Abdul Rehman, Anabia Sohail, Aqsa Asif, Asifullah Khan, Hifsa Asif, Umair Farooq, Zunaira Rauf","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T01:27:27Z","title":"A survey of the Vision Transformers and their CNN-Transformer based Variants"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09880","kind":"arxiv","version":4},"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":"sha256:5bc3dfb6e8008a0b42a4cb38cb4a5b92df8202f0508b32c667baa80d794c5f9f","target":"record","created_at":"2026-07-05T08:48:57Z","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":"132b1ab7508840506a5ed0ce0e75382259802fb219050c35178e0db889cc6807","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T01:27:27Z","title_canon_sha256":"9083c15e179379d5e84f32b47004a888957aca95b14e6f41a73f3e573ab678a7"},"schema_version":"1.0","source":{"id":"2305.09880","kind":"arxiv","version":4}},"canonical_sha256":"77dea569820641deb2c2241c1b6bcf9786f0fdf8d77f048bbbcfd62a0b08390d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77dea569820641deb2c2241c1b6bcf9786f0fdf8d77f048bbbcfd62a0b08390d","first_computed_at":"2026-07-05T08:48:57.715594Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:57.715594Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ykF8lBUFVN7vXr9pC0rYtOJ6JckSiL47gmueCcHpBKNTNbqyjwPu/egnacindJeSzBuJcdlEsXQlPKaNS9e/DA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:57.716037Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.09880","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5bc3dfb6e8008a0b42a4cb38cb4a5b92df8202f0508b32c667baa80d794c5f9f","sha256:25099470efd1a2e78336796da1d066d5c255a5e2f3e227cea57bfd748d23c93f"],"state_sha256":"92b7bb900c010af380d008d110a50e8798dcd6c6a1afcbbb95f27afd5eb5eab4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wyqqXom2xT3/bphMFUHeOqmTx36At9Zecs6aG0FcPfEdUE3gs5XA74kP3768pIwvlMtL+8avC1RwoD1BOobxBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:36:07.123474Z","bundle_sha256":"c2e6923198c1ce2b739d85f8962a73e6e37d7436790828f1ef43031787b11f7f"}}