{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FS7UO6GG3CLUK3BFZTALWZLZ7O","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":"c90d7208534355b496ef3717aeb65e7b3f01d163f5138544e173a17268457fbc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T07:03:35Z","title_canon_sha256":"259ee468480649d56ca94408087dc085ce666c5e0815b9053ea2ceb958952a4f"},"schema_version":"1.0","source":{"id":"2408.05952","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.05952","created_at":"2026-07-05T08:54:27Z"},{"alias_kind":"arxiv_version","alias_value":"2408.05952v1","created_at":"2026-07-05T08:54:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05952","created_at":"2026-07-05T08:54:27Z"},{"alias_kind":"pith_short_12","alias_value":"FS7UO6GG3CLU","created_at":"2026-07-05T08:54:27Z"},{"alias_kind":"pith_short_16","alias_value":"FS7UO6GG3CLUK3BF","created_at":"2026-07-05T08:54:27Z"},{"alias_kind":"pith_short_8","alias_value":"FS7UO6GG","created_at":"2026-07-05T08:54:27Z"}],"graph_snapshots":[{"event_id":"sha256:e5f2fe34b1a543a0aeff3fb6ec96935c85579cd848e05b793b118fd89a768bfe","target":"graph","created_at":"2026-07-05T08:54:27Z","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/2408.05952/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The groundbreaking performance of transformers in Natural Language Processing (NLP) tasks has led to their replacement of traditional Convolutional Neural Networks (CNNs), owing to the efficiency and accuracy achieved through the self-attention mechanism. This success has inspired researchers to explore the use of transformers in computer vision tasks to attain enhanced long-term semantic awareness. Vision transformers (ViTs) have excelled in various computer vision tasks due to their superior ability to capture long-distance dependencies using the self-attention mechanism. Contemporary ViTs l","authors_text":"Brejesh Lall, Damandeep Singh, Gousia Habib, Ishfaq Ahmad Malik","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T07:03:35Z","title":"Optimizing Vision Transformers with Data-Free Knowledge Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05952","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":"sha256:18dc4a6928dcad229ecf03ca6d4150c5e92dc95ab2eef7397b7135a7abe6a714","target":"record","created_at":"2026-07-05T08:54:27Z","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":"c90d7208534355b496ef3717aeb65e7b3f01d163f5138544e173a17268457fbc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T07:03:35Z","title_canon_sha256":"259ee468480649d56ca94408087dc085ce666c5e0815b9053ea2ceb958952a4f"},"schema_version":"1.0","source":{"id":"2408.05952","kind":"arxiv","version":1}},"canonical_sha256":"2cbf4778c6d897456c25ccc0bb6579fb921220aa278735e7d11fe81e806921d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cbf4778c6d897456c25ccc0bb6579fb921220aa278735e7d11fe81e806921d9","first_computed_at":"2026-07-05T08:54:27.533987Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:27.533987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3OIGbdRTryrcaE0dCD1ppD9VeEdt+0xyVOXhZ5GKi/3sZpREOZ8Yo/rdbHMCmH0m4LNmkSMBgLW4kQxSmC+PCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:27.534524Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.05952","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18dc4a6928dcad229ecf03ca6d4150c5e92dc95ab2eef7397b7135a7abe6a714","sha256:e5f2fe34b1a543a0aeff3fb6ec96935c85579cd848e05b793b118fd89a768bfe"],"state_sha256":"2a16a02274a1dca8b0bd54a32a76f1557960e6d9c6365c05fc6f26d87d6a3774"}