{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:OERE7U62HC4NG66LYHVXIO7JDX","short_pith_number":"pith:OERE7U62","schema_version":"1.0","canonical_sha256":"71224fd3da38b8d37bcbc1eb743be91de4718bf2f5f3d49cc0a575b6fa14be9e","source":{"kind":"arxiv","id":"2203.16414","version":1},"attestation_state":"computed","paper":{"title":"Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV","q-bio.NC"],"primary_cat":"cs.CV","authors_text":"Abdulah Fawaz, A. David Edwards, Chunhui Yang, Daniel Rueckert, Emma C. Robinson, Logan Z. J. Williams, Matthew F. Glasser, Simon Dahan, Timothy S. Coalson","submitted_at":"2022-03-30T15:56:11Z","abstract_excerpt":"The extension of convolutional neural networks (CNNs) to non-Euclidean geometries has led to multiple frameworks for studying manifolds. Many of those methods have shown design limitations resulting in poor modelling of long-range associations, as the generalisation of convolutions to irregular surfaces is non-trivial. Motivated by the success of attention-modelling in computer vision, we translate convolution-free vision transformer approaches to surface data, to introduce a domain-agnostic architecture to study any surface data projected onto a spherical manifold. Here, surface patching is a"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2203.16414","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-30T15:56:11Z","cross_cats_sorted":["eess.IV","q-bio.NC"],"title_canon_sha256":"1c32bd753ed58c41a0afd4ad6a3904e907cc20cb84de59ce782d44b697f0cdaf","abstract_canon_sha256":"48a8ed6d6d02527226f0d066d31a68065662a2eb93f47fe7dc5317f01e4a707e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:27:39.193279Z","signature_b64":"Ih1xbJjAvmF7ws6vuBFWXZRd5XyZMhwMKSE9OMq79slHvHnc9LcNpJQrO0aA55BhNMnR7z9UkQlYoRrJ/AUYAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71224fd3da38b8d37bcbc1eb743be91de4718bf2f5f3d49cc0a575b6fa14be9e","last_reissued_at":"2026-07-05T08:27:39.192866Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:27:39.192866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV","q-bio.NC"],"primary_cat":"cs.CV","authors_text":"Abdulah Fawaz, A. David Edwards, Chunhui Yang, Daniel Rueckert, Emma C. Robinson, Logan Z. J. Williams, Matthew F. Glasser, Simon Dahan, Timothy S. Coalson","submitted_at":"2022-03-30T15:56:11Z","abstract_excerpt":"The extension of convolutional neural networks (CNNs) to non-Euclidean geometries has led to multiple frameworks for studying manifolds. Many of those methods have shown design limitations resulting in poor modelling of long-range associations, as the generalisation of convolutions to irregular surfaces is non-trivial. Motivated by the success of attention-modelling in computer vision, we translate convolution-free vision transformer approaches to surface data, to introduce a domain-agnostic architecture to study any surface data projected onto a spherical manifold. Here, surface patching is a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.16414","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/2203.16414/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2203.16414","created_at":"2026-07-05T08:27:39.192928+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.16414v1","created_at":"2026-07-05T08:27:39.192928+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.16414","created_at":"2026-07-05T08:27:39.192928+00:00"},{"alias_kind":"pith_short_12","alias_value":"OERE7U62HC4N","created_at":"2026-07-05T08:27:39.192928+00:00"},{"alias_kind":"pith_short_16","alias_value":"OERE7U62HC4NG66L","created_at":"2026-07-05T08:27:39.192928+00:00"},{"alias_kind":"pith_short_8","alias_value":"OERE7U62","created_at":"2026-07-05T08:27:39.192928+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX","json":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX.json","graph_json":"https://pith.science/api/pith-number/OERE7U62HC4NG66LYHVXIO7JDX/graph.json","events_json":"https://pith.science/api/pith-number/OERE7U62HC4NG66LYHVXIO7JDX/events.json","paper":"https://pith.science/paper/OERE7U62"},"agent_actions":{"view_html":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX","download_json":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX.json","view_paper":"https://pith.science/paper/OERE7U62","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.16414&json=true","fetch_graph":"https://pith.science/api/pith-number/OERE7U62HC4NG66LYHVXIO7JDX/graph.json","fetch_events":"https://pith.science/api/pith-number/OERE7U62HC4NG66LYHVXIO7JDX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX/action/storage_attestation","attest_author":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX/action/author_attestation","sign_citation":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX/action/citation_signature","submit_replication":"https://pith.science/pith/OERE7U62HC4NG66LYHVXIO7JDX/action/replication_record"}},"created_at":"2026-07-05T08:27:39.192928+00:00","updated_at":"2026-07-05T08:27:39.192928+00:00"}