{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FSRSWNABUHOHPV7AMIZMWATNGW","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":"d433e9d69fc14e4ca544bce8ed723199a2e28fd1d0aa14caff141017e9f8ab98","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-14T08:56:24Z","title_canon_sha256":"f28fd00a18dd00f3cb19d38a27c62ab04aceb2c6bd46fc386348c2be5db9d7a4"},"schema_version":"1.0","source":{"id":"2210.07646","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.07646","created_at":"2026-07-05T05:07:55Z"},{"alias_kind":"arxiv_version","alias_value":"2210.07646v2","created_at":"2026-07-05T05:07:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.07646","created_at":"2026-07-05T05:07:55Z"},{"alias_kind":"pith_short_12","alias_value":"FSRSWNABUHOH","created_at":"2026-07-05T05:07:55Z"},{"alias_kind":"pith_short_16","alias_value":"FSRSWNABUHOHPV7A","created_at":"2026-07-05T05:07:55Z"},{"alias_kind":"pith_short_8","alias_value":"FSRSWNAB","created_at":"2026-07-05T05:07:55Z"}],"graph_snapshots":[{"event_id":"sha256:2eddbaccff7ab907b51f2911bf85af2b746c0caa584c11eabc66f64d4a55ee10","target":"graph","created_at":"2026-07-05T05:07:55Z","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/2210.07646/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently vision transformers (ViT) have been applied successfully for various tasks in computer vision. However, important questions such as why they work or how they behave still remain largely unknown. In this paper, we propose an effective visualization technique, to assist us in exposing the information carried in neurons and feature embeddings across the ViT's layers. Our approach departs from the computational process of ViTs with a focus on visualizing the local and global information in input images and the latent feature embeddings at multiple levels. Visualizations at the input and e","authors_text":"Dinh Phung, Khanh Pham Dinh, Long Tung Vuong, Quan Hung Tran, Thanh-Toan Do, Trung Le, Van-Anh Nguyen","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-14T08:56:24Z","title":"Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.07646","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":"sha256:4aaee75d5b5c47279de3faf9819d67ba90966dd6f59b1a5871730a22037d9923","target":"record","created_at":"2026-07-05T05:07:55Z","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":"d433e9d69fc14e4ca544bce8ed723199a2e28fd1d0aa14caff141017e9f8ab98","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-14T08:56:24Z","title_canon_sha256":"f28fd00a18dd00f3cb19d38a27c62ab04aceb2c6bd46fc386348c2be5db9d7a4"},"schema_version":"1.0","source":{"id":"2210.07646","kind":"arxiv","version":2}},"canonical_sha256":"2ca32b3401a1dc77d7e06232cb026d35b837c146878fadddde357cef12281a47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ca32b3401a1dc77d7e06232cb026d35b837c146878fadddde357cef12281a47","first_computed_at":"2026-07-05T05:07:55.209473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:07:55.209473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"23J4bb7JfQMHm0HTmNDGFXBrhpl7MJMSf/GQdp6T4cPOm9gtj2J5tbvJRd9m3bEifOQpDxb5KNCv6fo2Fe1MBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:07:55.209936Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.07646","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4aaee75d5b5c47279de3faf9819d67ba90966dd6f59b1a5871730a22037d9923","sha256:2eddbaccff7ab907b51f2911bf85af2b746c0caa584c11eabc66f64d4a55ee10"],"state_sha256":"1ce42c7fc1acb1005660cdb10ac928754e2727806cab296de0c6c1d7aaafa6ce"}