{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:ZFACG22IPMH764VB4RH5WFL4I5","short_pith_number":"pith:ZFACG22I","canonical_record":{"source":{"id":"1608.00168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-30T23:03:21Z","cross_cats_sorted":[],"title_canon_sha256":"15a4d92b80b0e509eb1c94731b9483792782ac221b829cc5c7a340bff8e73318","abstract_canon_sha256":"4c4062bf9b9ba7b8f04acd45d653db1e4dbe31cce4944aa59f63c01848e7c871"},"schema_version":"1.0"},"canonical_sha256":"c940236b487b0fff72a1e44fdb157c476f0b1475f5d341d2004b3a4b63d92af6","source":{"kind":"arxiv","id":"1608.00168","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.00168","created_at":"2026-05-18T01:10:12Z"},{"alias_kind":"arxiv_version","alias_value":"1608.00168v1","created_at":"2026-05-18T01:10:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.00168","created_at":"2026-05-18T01:10:12Z"},{"alias_kind":"pith_short_12","alias_value":"ZFACG22IPMH7","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"ZFACG22IPMH764VB","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"ZFACG22I","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:ZFACG22IPMH764VB4RH5WFL4I5","target":"record","payload":{"canonical_record":{"source":{"id":"1608.00168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-30T23:03:21Z","cross_cats_sorted":[],"title_canon_sha256":"15a4d92b80b0e509eb1c94731b9483792782ac221b829cc5c7a340bff8e73318","abstract_canon_sha256":"4c4062bf9b9ba7b8f04acd45d653db1e4dbe31cce4944aa59f63c01848e7c871"},"schema_version":"1.0"},"canonical_sha256":"c940236b487b0fff72a1e44fdb157c476f0b1475f5d341d2004b3a4b63d92af6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:12.344116Z","signature_b64":"0+x5/Cgg6dSbw+BCO4t2BHQsEKIddzb0+NyAyXWRqqUW/vvs8EhpSlo+AdIh3bToR6hziL/r98FEN/1ySHUIDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c940236b487b0fff72a1e44fdb157c476f0b1475f5d341d2004b3a4b63d92af6","last_reissued_at":"2026-05-18T01:10:12.343600Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:12.343600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.00168","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:10:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9IxvLeswR+aC5COIgEJEdSij/NnHlvA/h0IH9413ggzb6p9La24GRWvSsFAB0AhL5yq0+40nPW71jZO17zwRAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T19:54:16.004013Z"},"content_sha256":"942cba422cf433b39702a0baa740521ea6e1455dc34244f87271ea37cce7a61c","schema_version":"1.0","event_id":"sha256:942cba422cf433b39702a0baa740521ea6e1455dc34244f87271ea37cce7a61c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:ZFACG22IPMH764VB4RH5WFL4I5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bahman Zanj, Matteo Matteucci, Paolo Cremonesi, Shengping Zhang, Yashar Deldjoo","submitted_at":"2016-07-30T23:03:21Z","abstract_excerpt":"Recently, sparse representation based visual tracking methods have attracted increasing attention in the computer vision community. Although achieve superior performance to traditional tracking methods, however, a basic problem has not been answered yet --- that whether the sparsity constrain is really needed for visual tracking? To answer this question, in this paper, we first propose a robust non-sparse representation based tracker and then conduct extensive experiments to compare it against several state-of-the-art sparse representation based trackers. Our experiment results and analysis in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.00168","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:10:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LnsNnYFrZgXW2oY2Zd+mlk78a2HsgO3OIKSmuP4wdYUJaCFTIDe9JM7MglSUqpJsCY/TqwlY5RE+Yea613j9CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T19:54:16.004376Z"},"content_sha256":"43c883842cc94586d855db1b886889641befa629b1f8ef2fd1b6a5eef3d64ff5","schema_version":"1.0","event_id":"sha256:43c883842cc94586d855db1b886889641befa629b1f8ef2fd1b6a5eef3d64ff5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZFACG22IPMH764VB4RH5WFL4I5/bundle.json","state_url":"https://pith.science/pith/ZFACG22IPMH764VB4RH5WFL4I5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZFACG22IPMH764VB4RH5WFL4I5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-04T19:54:16Z","links":{"resolver":"https://pith.science/pith/ZFACG22IPMH764VB4RH5WFL4I5","bundle":"https://pith.science/pith/ZFACG22IPMH764VB4RH5WFL4I5/bundle.json","state":"https://pith.science/pith/ZFACG22IPMH764VB4RH5WFL4I5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZFACG22IPMH764VB4RH5WFL4I5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:ZFACG22IPMH764VB4RH5WFL4I5","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":"4c4062bf9b9ba7b8f04acd45d653db1e4dbe31cce4944aa59f63c01848e7c871","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-30T23:03:21Z","title_canon_sha256":"15a4d92b80b0e509eb1c94731b9483792782ac221b829cc5c7a340bff8e73318"},"schema_version":"1.0","source":{"id":"1608.00168","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.00168","created_at":"2026-05-18T01:10:12Z"},{"alias_kind":"arxiv_version","alias_value":"1608.00168v1","created_at":"2026-05-18T01:10:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.00168","created_at":"2026-05-18T01:10:12Z"},{"alias_kind":"pith_short_12","alias_value":"ZFACG22IPMH7","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"ZFACG22IPMH764VB","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"ZFACG22I","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:43c883842cc94586d855db1b886889641befa629b1f8ef2fd1b6a5eef3d64ff5","target":"graph","created_at":"2026-05-18T01:10:12Z","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":"Recently, sparse representation based visual tracking methods have attracted increasing attention in the computer vision community. Although achieve superior performance to traditional tracking methods, however, a basic problem has not been answered yet --- that whether the sparsity constrain is really needed for visual tracking? To answer this question, in this paper, we first propose a robust non-sparse representation based tracker and then conduct extensive experiments to compare it against several state-of-the-art sparse representation based trackers. Our experiment results and analysis in","authors_text":"Bahman Zanj, Matteo Matteucci, Paolo Cremonesi, Shengping Zhang, Yashar Deldjoo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-30T23:03:21Z","title":"Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.00168","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":"sha256:942cba422cf433b39702a0baa740521ea6e1455dc34244f87271ea37cce7a61c","target":"record","created_at":"2026-05-18T01:10:12Z","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":"4c4062bf9b9ba7b8f04acd45d653db1e4dbe31cce4944aa59f63c01848e7c871","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-30T23:03:21Z","title_canon_sha256":"15a4d92b80b0e509eb1c94731b9483792782ac221b829cc5c7a340bff8e73318"},"schema_version":"1.0","source":{"id":"1608.00168","kind":"arxiv","version":1}},"canonical_sha256":"c940236b487b0fff72a1e44fdb157c476f0b1475f5d341d2004b3a4b63d92af6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c940236b487b0fff72a1e44fdb157c476f0b1475f5d341d2004b3a4b63d92af6","first_computed_at":"2026-05-18T01:10:12.343600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:10:12.343600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0+x5/Cgg6dSbw+BCO4t2BHQsEKIddzb0+NyAyXWRqqUW/vvs8EhpSlo+AdIh3bToR6hziL/r98FEN/1ySHUIDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:10:12.344116Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.00168","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:942cba422cf433b39702a0baa740521ea6e1455dc34244f87271ea37cce7a61c","sha256:43c883842cc94586d855db1b886889641befa629b1f8ef2fd1b6a5eef3d64ff5"],"state_sha256":"02ab4591a0fc8ab61b427c6d40f276ff8a9d02fdaa3e8df8bd392a21fdfe8f04"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cuv1tMiIypEythrFiXKpS7BkChXO/eyen+pN1nwoVBhHw/y81CKG/l3GyQXQfX71iQNms6DyCi0g4BxXTqW0DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T19:54:16.006333Z","bundle_sha256":"15e6f7ad1fe226982082d1278b1466bfa5f9654c088078ac3bf670637ed78fcf"}}