{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YWYY32AYGF7PWWHTXTJRHW4W47","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":"2d2bc748934eb601c352bdd6ac03dc831227a439bf98bbcc1398f8cb49e89d9d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-02T05:56:03Z","title_canon_sha256":"64ee304128d603ec5bf0e7aaebfd0d520817e431512271456e69769cbf12aebf"},"schema_version":"1.0","source":{"id":"2112.00995","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.00995","created_at":"2026-07-05T05:53:47Z"},{"alias_kind":"arxiv_version","alias_value":"2112.00995v3","created_at":"2026-07-05T05:53:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.00995","created_at":"2026-07-05T05:53:47Z"},{"alias_kind":"pith_short_12","alias_value":"YWYY32AYGF7P","created_at":"2026-07-05T05:53:47Z"},{"alias_kind":"pith_short_16","alias_value":"YWYY32AYGF7PWWHT","created_at":"2026-07-05T05:53:47Z"},{"alias_kind":"pith_short_8","alias_value":"YWYY32AY","created_at":"2026-07-05T05:53:47Z"}],"graph_snapshots":[{"event_id":"sha256:ec85b7ea0097c9864335d28dad6e405cdcebe912795df904d3e143ac5e730d37","target":"graph","created_at":"2026-07-05T05:53:47Z","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/2112.00995/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently Transformer has been largely explored in tracking and shown state-of-the-art (SOTA) performance. However, existing efforts mainly focus on fusing and enhancing features generated by convolutional neural networks (CNNs). The potential of Transformer in representation learning remains under-explored. In this paper, we aim to further unleash the power of Transformer by proposing a simple yet efficient fully-attentional tracker, dubbed SwinTrack, within classic Siamese framework. In particular, both representation learning and feature fusion in SwinTrack leverage the Transformer architect","authors_text":"Haibin Ling, Heng Fan, Liting Lin, Yong Xu, Zhipeng Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-02T05:56:03Z","title":"SwinTrack: A Simple and Strong Baseline for Transformer Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.00995","kind":"arxiv","version":3},"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":"sha256:9a2147004c552bd2cf53c61ef9d78fdd48b19af45fadebf46e6ffeef8df29d1c","target":"record","created_at":"2026-07-05T05:53:47Z","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":"2d2bc748934eb601c352bdd6ac03dc831227a439bf98bbcc1398f8cb49e89d9d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-02T05:56:03Z","title_canon_sha256":"64ee304128d603ec5bf0e7aaebfd0d520817e431512271456e69769cbf12aebf"},"schema_version":"1.0","source":{"id":"2112.00995","kind":"arxiv","version":3}},"canonical_sha256":"c5b18de818317efb58f3bcd313db96e7efdd6ca9a6e35c90e31a4f654a1cdf8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5b18de818317efb58f3bcd313db96e7efdd6ca9a6e35c90e31a4f654a1cdf8e","first_computed_at":"2026-07-05T05:53:47.110633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:53:47.110633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jZHbu8BIfrSBpLI/hBABCRJRa+5ZxQC2me2FXpuN1tC49X0q4FL4q7+UrHWAiTBFZw6aT5L6Dg0+3D+WXjD0DA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:53:47.111210Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.00995","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a2147004c552bd2cf53c61ef9d78fdd48b19af45fadebf46e6ffeef8df29d1c","sha256:ec85b7ea0097c9864335d28dad6e405cdcebe912795df904d3e143ac5e730d37"],"state_sha256":"e1fddfab68d7c6723067dd8fe82dd1bcc4e4c04caa3f42a08db69928668e47ea"}