{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:2FY5ORULOB3NQRDPWFGGT24KYA","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":"c79cec14a16fb507e7f35d753d7fb6f0020145d5e2cbe1e37b013fa29714248b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T08:24:57Z","title_canon_sha256":"5a7ea6e77dd2850b803336db355c1c025bfb26b0e81266f5177f9bd3b6073df9"},"schema_version":"1.0","source":{"id":"1812.06418","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.06418","created_at":"2026-05-17T23:58:10Z"},{"alias_kind":"arxiv_version","alias_value":"1812.06418v1","created_at":"2026-05-17T23:58:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.06418","created_at":"2026-05-17T23:58:10Z"},{"alias_kind":"pith_short_12","alias_value":"2FY5ORULOB3N","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2FY5ORULOB3NQRDP","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2FY5ORUL","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:a738eff9610f4314cce3dbc88da1d05e558d809d23043a7a07e5d9eb93c629c2","target":"graph","created_at":"2026-05-17T23:58:10Z","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":"Being able to track an anonymous object, a model-free tracker is comprehensively applicable regardless of the target type. However, designing such a generalized framework is challenged by the lack of object-oriented prior information. As one solution, a real-time model-free object tracking approach is designed in this work relying on Convolutional Neural Networks (CNNs). To overcome the object-centric information scarcity, both appearance and motion features are deeply integrated by the proposed AMNet, which is an end-to-end offline trained two-stream network. Between the two parallel streams,","authors_text":"Peizhao Li, Xianbin Cao, Xiantong Zhen, Xiaolong Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T08:24:57Z","title":"Model-free Tracking with Deep Appearance and Motion Features Integration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.06418","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":"sha256:4d5f96b9ad9a20af310675b548615e8ac50c3801583c6361d10b39821756d291","target":"record","created_at":"2026-05-17T23:58:10Z","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":"c79cec14a16fb507e7f35d753d7fb6f0020145d5e2cbe1e37b013fa29714248b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T08:24:57Z","title_canon_sha256":"5a7ea6e77dd2850b803336db355c1c025bfb26b0e81266f5177f9bd3b6073df9"},"schema_version":"1.0","source":{"id":"1812.06418","kind":"arxiv","version":1}},"canonical_sha256":"d171d7468b7076d8446fb14c69eb8ac03cb066ab9f197e82997530907680d81a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d171d7468b7076d8446fb14c69eb8ac03cb066ab9f197e82997530907680d81a","first_computed_at":"2026-05-17T23:58:10.299563Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:58:10.299563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lTXoAa+FAqsEblbroDiIi0pud09yTWvNwAMA5WTNb9NtAO1lVNC8Iv+PpNudy/hLq5Q/pqPZwv+2hs3Qp8lBDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:58:10.300047Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.06418","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d5f96b9ad9a20af310675b548615e8ac50c3801583c6361d10b39821756d291","sha256:a738eff9610f4314cce3dbc88da1d05e558d809d23043a7a07e5d9eb93c629c2"],"state_sha256":"3cd9d4aefd454fa58b6fc2e0931751c6ee374d84f2771619b4f52ee92237379f"}