{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5XRL2K3PJD6QPIDE4HAA4MJY3Z","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":"f824dcce8d1c5b25faab52174e947b6ecb3b6189e71f4538fbcad8d86e0412e2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-15T20:38:22Z","title_canon_sha256":"5772af2ab0f13491093ccc20215a8ef36f775af9ea3a56fe86a48b82e896d864"},"schema_version":"1.0","source":{"id":"2203.08243","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.08243","created_at":"2026-07-05T04:05:41Z"},{"alias_kind":"arxiv_version","alias_value":"2203.08243v1","created_at":"2026-07-05T04:05:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.08243","created_at":"2026-07-05T04:05:41Z"},{"alias_kind":"pith_short_12","alias_value":"5XRL2K3PJD6Q","created_at":"2026-07-05T04:05:41Z"},{"alias_kind":"pith_short_16","alias_value":"5XRL2K3PJD6QPIDE","created_at":"2026-07-05T04:05:41Z"},{"alias_kind":"pith_short_8","alias_value":"5XRL2K3P","created_at":"2026-07-05T04:05:41Z"}],"graph_snapshots":[{"event_id":"sha256:8cc2888d0ec13408d93a16fd85d5f1381d8fa7b5239d682d68956fdc93468c4e","target":"graph","created_at":"2026-07-05T04:05:41Z","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/2203.08243/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision transformers (ViTs) have gained popularity recently. Even without customized image operators such as convolutions, ViTs can yield competitive performance when properly trained on massive data. However, the computational overhead of ViTs remains prohibitive, due to stacking multi-head self-attention modules and else. Compared to the vast literature and prevailing success in compressing convolutional neural networks, the study of Vision Transformer compression has also just emerged, and existing works focused on one or two aspects of compression. This paper proposes a unified ViT compress","authors_text":"Huan Yuan, Jianchao Tan, Jiayi Shen, Ji Liu, Sen Yang, Shixing Yu, Tianlong Chen, Zhangyang Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-15T20:38:22Z","title":"Unified Visual Transformer Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.08243","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:d13af89bc957e74d6553b0068605bf0d2e14119160b095b0fc6123c193c293d8","target":"record","created_at":"2026-07-05T04:05:41Z","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":"f824dcce8d1c5b25faab52174e947b6ecb3b6189e71f4538fbcad8d86e0412e2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-15T20:38:22Z","title_canon_sha256":"5772af2ab0f13491093ccc20215a8ef36f775af9ea3a56fe86a48b82e896d864"},"schema_version":"1.0","source":{"id":"2203.08243","kind":"arxiv","version":1}},"canonical_sha256":"ede2bd2b6f48fd07a064e1c00e3138de5c8931ed0a6bd0b90fe5246ec5e9abe1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ede2bd2b6f48fd07a064e1c00e3138de5c8931ed0a6bd0b90fe5246ec5e9abe1","first_computed_at":"2026-07-05T04:05:41.524921Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:05:41.524921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aFdDkTmZMecirymTHzrOeL5B2n3OCuDLcQ233bjeebnt5tiAXMAiCmzzjWPgqUL9efn45vddlkuh39E17Y9DDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:05:41.525400Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.08243","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d13af89bc957e74d6553b0068605bf0d2e14119160b095b0fc6123c193c293d8","sha256:8cc2888d0ec13408d93a16fd85d5f1381d8fa7b5239d682d68956fdc93468c4e"],"state_sha256":"2c4bd10c931a9204a5d11ca6e2d95af2786f33b769d9941d5339edf1ca44b725"}