{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:D7HUPQFJCJOHNBC7FDK6OCESF4","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":"76d76b7a0f960847717c475144418db180f1e1c766fc9b2ba4c88b572ec25075","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-13T02:58:56Z","title_canon_sha256":"2b281d09355c77c5e08fe6696b33e86fa5b8c7ef13bcb1dadf9238982341ca8f"},"schema_version":"1.0","source":{"id":"1512.03993","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.03993","created_at":"2026-05-18T01:24:23Z"},{"alias_kind":"arxiv_version","alias_value":"1512.03993v1","created_at":"2026-05-18T01:24:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.03993","created_at":"2026-05-18T01:24:23Z"},{"alias_kind":"pith_short_12","alias_value":"D7HUPQFJCJOH","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"D7HUPQFJCJOHNBC7","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"D7HUPQFJ","created_at":"2026-05-18T12:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:6a37ff1b1be4e764e3ed6c9b63ea5e642d7006e4cb574a05ef00e4686df5c7ff","target":"graph","created_at":"2026-05-18T01:24:23Z","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"},"paper":{"abstract_excerpt":"In this paper, we study a discriminatively trained deep convolutional network for the task of visual tracking. Our tracker utilizes both motion and appearance features that are extracted from a pre-trained dual stream deep convolution network. We show that the features extracted from our dual-stream network can provide rich information about the target and this leads to competitive performance against state of the art tracking methods on a visual tracking benchmark.","authors_text":"Afshin Dehghan, Meera Hahn, Si Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-13T02:58:56Z","title":"Deep Tracking: Visual Tracking Using Deep Convolutional Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.03993","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":"sha256:334efd1abe6ba92a0b69c69f7e93d11c2d4e2b388fda0cdc6a8109d9ca4e500f","target":"record","created_at":"2026-05-18T01:24:23Z","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":"76d76b7a0f960847717c475144418db180f1e1c766fc9b2ba4c88b572ec25075","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-13T02:58:56Z","title_canon_sha256":"2b281d09355c77c5e08fe6696b33e86fa5b8c7ef13bcb1dadf9238982341ca8f"},"schema_version":"1.0","source":{"id":"1512.03993","kind":"arxiv","version":1}},"canonical_sha256":"1fcf47c0a9125c76845f28d5e708922f2cfff7e05d99573bd7acec167a2b6052","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1fcf47c0a9125c76845f28d5e708922f2cfff7e05d99573bd7acec167a2b6052","first_computed_at":"2026-05-18T01:24:23.397748Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:24:23.397748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dACJVNOq6Rw7jm+oA+yq9iKL9Kr7YFeNQRSKiHjH/sHVd4pDmWDltme/Ae+6iIItgBLf8TDM7W6VClFbLEwyDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:24:23.398500Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.03993","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:334efd1abe6ba92a0b69c69f7e93d11c2d4e2b388fda0cdc6a8109d9ca4e500f","sha256:6a37ff1b1be4e764e3ed6c9b63ea5e642d7006e4cb574a05ef00e4686df5c7ff"],"state_sha256":"8d3111c8081f470420083a237ab17bba7f8bee15f9aaa739c4d49e36f8954a28"}