{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:LBCQTBZXN5GVUKDYJRGTZPMF7X","short_pith_number":"pith:LBCQTBZX","schema_version":"1.0","canonical_sha256":"58450987376f4d5a28784c4d3cbd85fdeaa379dd266e207218764408360b8939","source":{"kind":"arxiv","id":"1908.02231","version":2},"attestation_state":"computed","paper":{"title":"Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changhong Fu, Fuling Lin, Peng Lu, Yiming Li, Ziyuan Huang","submitted_at":"2019-08-06T16:11:48Z","abstract_excerpt":"Traditional framework of discriminative correlation filters (DCF) is often subject to undesired boundary effects. Several approaches to enlarge search regions have been already proposed in the past years to make up for this shortcoming. However, with excessive background information, more background noises are also introduced and the discriminative filter is prone to learn from the ambiance rather than the object. This situation, along with appearance changes of objects caused by full/partial occlusion, illumination variation, and other reasons has made it more likely to have aberrances in the"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1908.02231","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-06T16:11:48Z","cross_cats_sorted":[],"title_canon_sha256":"5c217889e9333566870c7d40a41f6ccbc660923c64a4565e1a5099b325e29ade","abstract_canon_sha256":"a0cff9fbef303730027812bafbe5ed666d59bede2e51bf304ea56d2f68bfa41f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:52:07.077647Z","signature_b64":"YyrDiugDpCsEtYezxldFNAQMooj6VCi9wU1bdfVsvTAmZ4uxRD+QbVsOW+HWhs04Z18FkBrFs9Brv3Q7SpefCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58450987376f4d5a28784c4d3cbd85fdeaa379dd266e207218764408360b8939","last_reissued_at":"2026-07-04T23:52:07.077230Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:52:07.077230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changhong Fu, Fuling Lin, Peng Lu, Yiming Li, Ziyuan Huang","submitted_at":"2019-08-06T16:11:48Z","abstract_excerpt":"Traditional framework of discriminative correlation filters (DCF) is often subject to undesired boundary effects. Several approaches to enlarge search regions have been already proposed in the past years to make up for this shortcoming. However, with excessive background information, more background noises are also introduced and the discriminative filter is prone to learn from the ambiance rather than the object. This situation, along with appearance changes of objects caused by full/partial occlusion, illumination variation, and other reasons has made it more likely to have aberrances in the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.02231","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1908.02231/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1908.02231","created_at":"2026-07-04T23:52:07.077288+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.02231v2","created_at":"2026-07-04T23:52:07.077288+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.02231","created_at":"2026-07-04T23:52:07.077288+00:00"},{"alias_kind":"pith_short_12","alias_value":"LBCQTBZXN5GV","created_at":"2026-07-04T23:52:07.077288+00:00"},{"alias_kind":"pith_short_16","alias_value":"LBCQTBZXN5GVUKDY","created_at":"2026-07-04T23:52:07.077288+00:00"},{"alias_kind":"pith_short_8","alias_value":"LBCQTBZX","created_at":"2026-07-04T23:52:07.077288+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X","json":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X.json","graph_json":"https://pith.science/api/pith-number/LBCQTBZXN5GVUKDYJRGTZPMF7X/graph.json","events_json":"https://pith.science/api/pith-number/LBCQTBZXN5GVUKDYJRGTZPMF7X/events.json","paper":"https://pith.science/paper/LBCQTBZX"},"agent_actions":{"view_html":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X","download_json":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X.json","view_paper":"https://pith.science/paper/LBCQTBZX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.02231&json=true","fetch_graph":"https://pith.science/api/pith-number/LBCQTBZXN5GVUKDYJRGTZPMF7X/graph.json","fetch_events":"https://pith.science/api/pith-number/LBCQTBZXN5GVUKDYJRGTZPMF7X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X/action/storage_attestation","attest_author":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X/action/author_attestation","sign_citation":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X/action/citation_signature","submit_replication":"https://pith.science/pith/LBCQTBZXN5GVUKDYJRGTZPMF7X/action/replication_record"}},"created_at":"2026-07-04T23:52:07.077288+00:00","updated_at":"2026-07-04T23:52:07.077288+00:00"}