Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:52:47.280390Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2508.04200.
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 2026-08-06T00:52:47.280390Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
86 of 86 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7a2bc806-0c3e-4317-bd4e-561f1249b2f2 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Spectral clustering via ensemble deep autoencoder learning (sc-edae),
Reference 18
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Bootstrap Deep Spectral Clustering with Optimal Transport Spectral clustering joint deep embedding learning by autoencoder,
Reference 19
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Bootstrap Deep Spectral Clustering with Optimal Transport Greedy layer-wise training of deep networks,
Reference 20
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep learning,
Reference 21
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Bootstrap Deep Spectral Clustering with Optimal Transport Sinkhorn distances: Lightspeed computation of optimal transport,
Reference 22
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Bootstrap Deep Spectral Clustering with Optimal Transport A generalized solution of the orthogonal procrustes problem,
Reference 23
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep embedded k-means clustering,
Reference 24
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep subspace clus- tering networks,
Reference 25
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep multi-view subspace clustering with unified and discriminative learning,
Reference 26
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Bootstrap Deep Spectral Clustering with Optimal Transport Projective multiple kernel subspace clustering,
Reference 27
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Bootstrap Deep Spectral Clustering with Optimal Transport Joint unsupervised learning of deep representations and image clusters,
Reference 28
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Bootstrap Deep Spectral Clustering with Optimal Transport Acoustic scene clustering using joint optimization of deep embedding learning and clustering iteration,
Reference 29
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Bootstrap Deep Spectral Clustering with Optimal Transport Network embedding via deep prediction model,
Reference 30
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep spectral clustering via joint spectral embedding and kmeans,
Reference 31
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Bootstrap Deep Spectral Clustering with Optimal Transport Nearest neighbor matching for deep clustering,
Reference 32
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep comprehensive correlation mining for image clustering,
Reference 33
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Observation 172db0cc-bdaf-4a9e-8421-f57a2c663251 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Scan: Learning to classify images without labels,
Reference 34
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Bootstrap Deep Spectral Clustering with Optimal Transport Invariant information clustering for unsupervised image classification and segmentation,
Reference 35
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Observation 79b48b53-bbcc-4399-aeb5-db68c36a6cb2 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Consistent multiple graph embedding for multi-view clustering,
Reference 36
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Observation cc69e8e7-be69-4d80-ad62-9dc6807c4aa5 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Learning deep generative clustering via mutual information maximization,
Reference 37
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Observation 25cba558-d98e-45ae-b8cc-70ad356c7e7b · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport A simple frame- work for contrastive learning of visual representations,
Reference 38
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Observation b9e42bb6-b4c1-411b-b6ee-d168bdb08c5e · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Momentum contrast for unsupervised visual representation learning,
Reference 39
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Bootstrap Deep Spectral Clustering with Optimal Transport Contrastive clustering,
Reference 40
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Bootstrap Deep Spectral Clustering with Optimal Transport You never cluster alone,
Reference 41
Source-reported events for the cited work
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Observation 3b02061c-82df-47d1-984c-5cab0a95aad0 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Contrastive multi-view learning for 3d shape clustering,
Reference 42
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Bootstrap Deep Spectral Clustering with Optimal Transport Self-weighted contrastive fusion for deep multi-view clustering,
Reference 43
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Observation 373e1cc0-3c7c-421d-8b3d-489ffb01b9b7 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Image clustering conditioned on text criteria,
Reference 44
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Bootstrap Deep Spectral Clustering with Optimal Transport Clusterllm: Large language models as a guide for text clustering,
Reference 45
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Observation fd7a8e9f-2c12-4335-b32d-f8969c8cc335 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Large language models enable few-shot clustering,
Reference 46
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Bootstrap Deep Spectral Clustering with Optimal Transport GPT-4 Technical Report
Reference 47
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Observation 5d6049bb-a76a-4356-b12b-089c09edfd7c · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport New spectral methods for ratio cut partitioning and clustering,
Reference 48
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Bootstrap Deep Spectral Clustering with Optimal Transport A tutorial on spectral clustering,
Reference 49
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep spectral clustering with constrained laplacian rank,
Reference 50
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Bootstrap Deep Spectral Clustering with Optimal Transport Spectral clustering with adaptive neighbors for deep learning,
Reference 51
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Bootstrap Deep Spectral Clustering with Optimal Transport Dynamic affinity graph construction for spectral clustering using multiple fea- tures,
Reference 52
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Observation 3850d363-41ab-4963-a6b3-12d3a11b2abb · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Affinity aggregation for spectral clustering,
Reference 53
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Bootstrap Deep Spectral Clustering with Optimal Transport Consensus affinity graph learning for multiple kernel clustering,
Reference 54
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Observation c24f7788-5cc6-4257-bf29-d0b7f1e8717c · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Learning a joint affinity graph for multiview subspace clustering,
Reference 55
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Bootstrap Deep Spectral Clustering with Optimal Transport Self-tuning spectral clustering,
Reference 56
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Bootstrap Deep Spectral Clustering with Optimal Transport Constructing robust affinity graphs for spectral clustering,
Reference 57
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Bootstrap Deep Spectral Clustering with Optimal Transport Random forests,
Reference 58
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Bootstrap Deep Spectral Clustering with Optimal Transport Spectral grouping using the nystrom method,
Reference 59
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Bootstrap Deep Spectral Clustering with Optimal Transport Power iteration clustering,
Reference 60
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Bootstrap Deep Spectral Clustering with Optimal Transport Fuse: Full spectral clus- tering,
Reference 61
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Bootstrap Deep Spectral Clustering with Optimal Transport Large scale spectral clustering via landmark- based sparse representation,
Reference 62
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Bootstrap Deep Spectral Clustering with Optimal Transport Large graph cluster- ing with simultaneous spectral embedding and discretization,
Reference 63
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Bootstrap Deep Spectral Clustering with Optimal Transport Mini-batch spectral clustering,
Reference 64
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Bootstrap Deep Spectral Clustering with Optimal Transport Multiclass spectral clustering,
Reference 65
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Bootstrap Deep Spectral Clustering with Optimal Transport Spectral rotation versus k-means in spectral clustering,
Reference 66
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Bootstrap Deep Spectral Clustering with Optimal Transport Scalable normalized cut with improved spectral rotation
Reference 67
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Bootstrap Deep Spectral Clustering with Optimal Transport Simple, direct and efficient multi- way spectral clustering,
Reference 68
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Bootstrap Deep Spectral Clustering with Optimal Transport Fast opti- mization of spectral embedding and improved spectral rotation,
Reference 69
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Bootstrap Deep Spectral Clustering with Optimal Transport A unified framework for discrete spectral clustering,
Reference 70
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Bootstrap Deep Spectral Clustering with Optimal Transport Unified spectral clustering with optimal graph,
Reference 71
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Bootstrap Deep Spectral Clustering with Optimal Transport Tensor low- rank graph embedding and learning for one-step incomplete multi-view clustering,
Reference 72
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Bootstrap Deep Spectral Clustering with Optimal Transport Improved normalized cut for multi-view clustering,
Reference 73
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Bootstrap Deep Spectral Clustering with Optimal Transport Learning deep representations for graph clustering,
Reference 74
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Bootstrap Deep Spectral Clustering with Optimal Transport Optimal transport for domain adaptation,
Reference 75
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Reference 76
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Bootstrap Deep Spectral Clustering with Optimal Transport Unsupervised learning of visual features by contrasting cluster assign- ments,
Reference 77
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Bootstrap Deep Spectral Clustering with Optimal Transport Ota: Optimal transport as- signment for object detection,
Reference 78
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Bootstrap Deep Spectral Clustering with Optimal Transport A random walks view of spectral segmentation,
Reference 79
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Bootstrap Deep Spectral Clustering with Optimal Transport Learning transferable visual models from natural language supervision,
Reference 80
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Bootstrap Deep Spectral Clustering with Optimal Transport Pattern recognition with fuzzy objective function algorithms,
Reference 81
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Bootstrap Deep Spectral Clustering with Optimal Transport Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Reference 82
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Bootstrap Deep Spectral Clustering with Optimal Transport Exploring simple siamese representation learn- ing,
Reference 83
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Observation a04b3363-fa8d-4bb0-9be7-9bb8ed114e86 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Learning multiple layers of features from tiny images,
Reference 84
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Bootstrap Deep Spectral Clustering with Optimal Transport Tiny imagenet visual recognition challenge,
Reference 85
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Bootstrap Deep Spectral Clustering with Optimal Transport Divclust: Controlling diversity in deep clustering,
Reference 86
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Bootstrap Deep Spectral Clustering with Optimal Transport Least squares quantization in pcm,
Reference 87
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Bootstrap Deep Spectral Clustering with Optimal Transport Agglomerative clustering using the concept of mutual nearest neighbourhood,
Reference 88
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Bootstrap Deep Spectral Clustering with Optimal Transport Locality preserving nonnegative matrix factorization,
Reference 89
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Bootstrap Deep Spectral Clustering with Optimal Transport Graph contrastive clustering,
Reference 90
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Bootstrap Deep Spectral Clustering with Optimal Transport Wasserstein em- bedding learning for deep clustering: A generative approach,
Reference 91
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Bootstrap Deep Spectral Clustering with Optimal Transport Deep semantic clustering by partition confidence maximisation,
Reference 92
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Observation 592fca9a-c3af-4e45-ae06-974ac488dbb3 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Hcsc: Hierarchical contrastive selective coding,
Reference 93
Source-reported events for the cited work
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Observation 319447a7-f588-48d7-87f6-b9f962538491 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Clustering-friendly representation learning via instance discrimination and feature decorrelation,
Reference 94
Source-reported events for the cited work
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Observation 9eaa9bb7-ac5b-4c2f-b4c0-c94b42a87226 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Deep- clue: Enhanced deep clustering via multi-layer ensembles in neural networks,
Reference 95
Source-reported events for the cited work
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Bootstrap Deep Spectral Clustering with Optimal Transport Semantic spectral clustering with contrastive learning and neighbor mining,
Reference 96
Source-reported events for the cited work
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Observation ad5992fe-5888-4054-9935-954e7f0e38f5 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Deep residual learning for image recognition,
Reference 97
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Observation 1b7e6c59-ce73-423a-b9f3-3b06ccbfc9aa · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Understanding the difficulty of training deep feedforward neural networks,
Reference 98
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Observation c9e62943-b75c-4197-ae48-ce6a68ee14d8 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Sgdr: Stochastic gradient descent with warm restarts,
Reference 99
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Observation 5e1c9cb6-b03d-4251-b6ea-27c9ca783002 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Pytorch: An imper- ative style, high-performance deep learning library,
Reference 100
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Observation 5708ad7c-e9f4-4d03-9a18-d3cf1db0953e · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Reference 101
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Observation 9816a2ff-6f39-4bfa-b9cc-bd22838ca922 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Comparing partitions,
Reference 102
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Observation c3aac692-cf55-4bc9-98d4-a5a671709170 · outbound
Bootstrap Deep Spectral Clustering with Optimal Transport Dis- placement interpolation using lagrangian mass transport,
Reference 103
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