Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:45.532286Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2507.01884.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:45.532286Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
78 of 78 outbound references displayed
External citation measurements
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Observation fd93334e-c204-4d55-83df-69ac8312cf90 · outbound
Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification Mixmatch: A holistic approach to semi-supervised learning
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Reference 30
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Reference 31
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Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification Marginmatch: Im- proving semi-supervised learning with pseudo-margins
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Reference 48
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Reference 49
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Reference 50
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Reference 51
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Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification Lstkc: Long short-term knowledge consolidation for lifelong person re- identification
Reference 55
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Reference 56
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Reference 57
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Reference 58
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Reference 59
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Reference 60
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Reference 61
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Reference 63
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Reference 64
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Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification As illustrated in Fig
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Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification As shown in Tab
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Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification Besides, the exemplar-free SSLL method LDC [14] is also compared (with sequential fine-tune as the baseline)
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Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification Be- yond the prediction accuracy curves presented in the main paper, we provide additional visualizations for CUHK- SYSU, LPW, and CUHK03 datasets in Fig
Reference 78
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