Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:57:56.762595Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:1908.00485.
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 2026-08-14T15:57:56.762595Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
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
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 837563a2-7d7f-41ba-964b-748e78fd1c65 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Do- main adaptation through synthesis for unsupervised person re- identification
Reference 1
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Observation b69a4d03-519d-4d93-8bba-22dfb4b3c971 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Domain separation networks
Reference 2
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Observation bae0b1f6-565c-419f-a109-cee9c49d4940 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Spectral networks and locally connected networks on graphs
Reference 3
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Learning to Adapt Invariance in Memory for Person Re-identification Open set domain adapta- tion
Reference 4
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Observation 8915c719-3cf5-41c7-8444-f7a2bc36893e · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Deep association learning for unsupervised video person re-identification
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Learning to Adapt Invariance in Memory for Person Re-identification Stargan: Unified generative adversarial networks for multi-domain image-to- image translation
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Learning to Adapt Invariance in Memory for Person Re-identification Convolutional neural networks on graphs with fast localized spec- tral filtering
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Learning to Adapt Invariance in Memory for Person Re-identification Imagenet: A large-scale hierarchical image database
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Observation 308110e8-5cac-4299-b06a-7fa58f761307 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re- identification
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Observation 6ce1e618-ec6f-439f-9e06-6a2fe27c6ca2 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Unsuper- vised person re-identification: Clustering and fine-tuning
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Observation eccdf99b-f988-4004-b809-678a5be7753c · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Neural Turing Machines
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Observation 5ec7d20c-6454-4f0c-8b47-e99fc8e47749 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Viewpoint invariant pedestrian recognition with an ensemble of localized features
Reference 12
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Observation 5e0aabe0-7a07-4d09-8ef4-db1bbd4f4f54 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification A kernel method for the two-sample- problem
Reference 13
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Observation 166f8219-613d-4e4b-9e94-59f4a159fcdc · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Dimensionality reduction by learning an invariant mapping
Reference 14
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Observation 114544a9-97f6-47cc-9ded-dd8c45247ae4 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Inductive repre- sentation learning on large graphs
Reference 15
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Observation 2f48f39b-0b78-4799-9faf-2b9077119d20 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Delv- ing deep into rectifiers: Surpassing human-level performance on imagenet classification
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Observation 34bb021e-5731-4257-984d-1f5da9068e8f · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Deep residual learning for image recognition
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Observation d5e8d360-f14a-440b-abe7-42929afadaeb · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Deep Convolutional Networks on Graph-Structured Data
Reference 18
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Observation c54198b6-4742-42ed-bcbc-96944415a2f5 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification In Defense of the Triplet Loss for Person Re-Identification
Reference 19
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Observation 8c280641-a028-4f8a-b929-005b86f9b10b · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Batch normalization: acceler- ating deep network training by reducing internal covariate shift
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Learning to Adapt Invariance in Memory for Person Re-identification Semi-supervised classification with graph convolutional networks
Reference 21
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Observation 1ce61eca-0d5f-4a18-a29c-9d467e87536b · outbound
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Reference 22
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Observation c92de2e1-d741-4abf-a84d-717e5dce366d · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Unsupervised tracklet person re-identification
Reference 23
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Observation 19711ba5-5614-4653-a332-4dabaab2b8a4 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Harmonious attention network for person re-identification
Reference 24
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Observation e3b55bd4-27a0-4718-b895-783176e710be · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Person re-identification by local maximal occurrence representation and metric learning
Reference 25
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Observation 5209cd80-42ed-4eca-973e-5b919cb394d0 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Network in network
Reference 26
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Observation 538d32cc-2964-4157-87e6-45b98c79b475 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Multi-task mid-level feature alignment network for unsupervised cross-dataset person re-identification
Reference 27
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Observation d47091de-ff10-4718-af85-82283551f7ab · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Learning transferable features with deep adaptation networks
Reference 28
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Observation a9b5bb40-f3d1-4856-b5d7-71c1fa1b8ef7 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation
Reference 29
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Observation 864d651a-542a-4571-bf0e-d4f67d02652e · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Geometric deep learning on graphs and manifolds using mixture model cnns
Reference 30
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Observation 6b84ee19-242f-461a-856f-c4c0e2091a07 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Rectified linear units improve restricted boltzmann machines
Reference 31
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Observation 84af30a7-f43a-46e1-994a-dfae96a85499 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Learning convolutional neural networks for graphs
Reference 32
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Observation c3b409bd-b0c6-4798-a88c-66c3ed8b7e76 · outbound
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Reference 33
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Observation 4f3f542d-18ba-48a5-be60-88d43ea20aad · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Performance measures and a data set for multi- target, multi-camera tracking
Reference 34
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Observation a92dcd6c-5565-43d8-97c8-964e52531218 · outbound
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Learning to Adapt Invariance in Memory for Person Re-identification Meta-learning with memory- augmented neural networks
Reference 36
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Observation 666c16fc-d488-4126-a4ef-f1b9b1368674 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Person re-identification with deep similarity-guided graph neural network
Reference 37
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Observation 88599ff5-1990-4f37-a7c0-6390d9f3b807 · outbound
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Reference 38
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Observation 6eef3f30-377c-41b8-a59d-94eed03d03a7 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Dropout: a simple way to prevent neural networks from overfitting
Reference 39
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Observation 0f7b777f-1978-44c3-977f-32d935215e72 · outbound
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Reference 40
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Reference 41
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Observation 866b42dd-9161-472c-8e5d-c14f627becf5 · outbound
Learning to Adapt Invariance in Memory for Person Re-identification Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)
Reference 42
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Observation 01dbbb52-f537-4c42-9458-6ed5b1123ba4 · outbound
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Reference 43
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Observation 23e66d44-78df-42fe-80ee-04d24995a3a6 · outbound
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Reference 45
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Reference 46
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Reference 48
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Learning to Adapt Invariance in Memory for Person Re-identification Long-term feature banks for detailed video understanding
Reference 49
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Reference 50
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Reference 51
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Reference 52
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Reference 53
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Reference 54
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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 62
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Reference 63
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Reference 64
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Reference 65
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Reference 66
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Observation 2a6779fa-0acf-402d-b55e-d6d41e4e8b21 · outbound
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Reference 67
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Reference 68
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No inbound Pith citation observations are available.