Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:56:54.153453Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2509.02084.
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 2026-08-05T11:56:54.153453Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b36bffe3-7608-4b77-9820-10bb8cd01bf2 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Multi-view learning overview: Recent progress and new challenges,
Reference 1
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Observation 8aa8c774-bc20-400f-80da-680be35fd564 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Trusted multi-view classi- fication with dynamic evidential fusion,
Reference 2
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Towards Comprehensive Information-theoretic Multi-view Learning Reliable conflictive multi-view learning,
Reference 3
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Towards Comprehensive Information-theoretic Multi-view Learning Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
Reference 4
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Towards Comprehensive Information-theoretic Multi-view Learning Discovering common in- formation in multi-view data,
Reference 5
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Towards Comprehensive Information-theoretic Multi-view Learning Late fusion incomplete multi-view clustering,
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Towards Comprehensive Information-theoretic Multi-view Learning Dual contrastive prediction for incomplete multi-view representation learning,
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Towards Comprehensive Information-theoretic Multi-view Learning Multi-view attributed graph clustering,
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Towards Comprehensive Information-theoretic Multi-view Learning Deep Variational Information Bottleneck
Reference 9
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Observation aaabd0c0-3936-4d2a-ae3b-532c7d63a4f4 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Information-theoretic methods in deep neural networks: Recent advances and emerging opportunities
Reference 10
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Towards Comprehensive Information-theoretic Multi-view Learning A survey on information bottleneck,
Reference 11
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Observation 61d81e63-0cfb-4792-b8ca-d74b7a3c03ed · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Learning robust representations via multi-view information bottleneck,
Reference 12
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Towards Comprehensive Information-theoretic Multi-view Learning Multi-view information- bottleneck representation learning,
Reference 13
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Observation 5cd8da4d-9fa5-442e-a1b2-b0d67e331204 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Dmib: Dual-correlated multivariate in- formation bottleneck for multiview clustering,
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Observation 43892bb2-1889-45dd-b8f9-23945093a6b4 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Self-supervised information bottleneck for deep multi-view subspace clustering,
Reference 15
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Observation 415e6cde-a31c-463d-adeb-6445f07df255 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning A novel approach for effective multi-view clustering with information- theoretic perspective,
Reference 16
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Observation 74b66d87-8f73-4485-973a-2ad2a7872617 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Multi-view subspace clustering,
Reference 17
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Towards Comprehensive Information-theoretic Multi-view Learning Robust subspace clustering by logarithmic hyperbolic cosine function,
Reference 18
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Towards Comprehensive Information-theoretic Multi-view Learning Generalized latent multi-view subspace clustering,
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Towards Comprehensive Information-theoretic Multi-view Learning Multi-view cluster- ing in latent embedding space,
Reference 20
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Towards Comprehensive Information-theoretic Multi-view Learning Enhanced latent multi-view subspace clustering,
Reference 21
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Towards Comprehensive Information-theoretic Multi-view Learning On unify- ing multi-view self-representations for clustering by tensor multi-rank minimization,
Reference 22
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Towards Comprehensive Information-theoretic Multi-view Learning Unified tensor framework for incomplete multi-view clustering and missing-view inferring,
Reference 23
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Towards Comprehensive Information-theoretic Multi-view Learning Tensorized and compressed multi-view subspace clustering via structured constraint,
Reference 24
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Towards Comprehensive Information-theoretic Multi-view Learning Flexible tensor learning for multi- view clustering with markov chain,
Reference 25
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Observation bf90a351-99db-41dd-9a69-4f7ffbf0d726 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Logarithmic schatten- p p norm minimization for tensorial multi-view subspace clustering,
Reference 26
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Towards Comprehensive Information-theoretic Multi-view Learning Tensorized tri-factor decomposition for multi-view clustering,
Reference 27
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Towards Comprehensive Information-theoretic Multi-view Learning Gmc: Graph-based multi-view cluster- ing,
Reference 28
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Observation 8f777fa9-a484-474c-847d-f4719fb2447b · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Sample-level multi- view graph clustering,
Reference 29
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Observation bc2e6d60-ac8f-4f3d-99a1-f063a2fa954e · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Multi-view contrastive graph clustering,
Reference 30
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Towards Comprehensive Information-theoretic Multi-view Learning On deep multi- view representation learning,
Reference 31
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Observation ad19c4ea-0867-4c6d-8007-b617facb460f · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Completer: Incomplete multi-view clustering via contrastive prediction,
Reference 32
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Observation 5ef85280-b64c-4025-bfab-439649c16a0a · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Nim-nets: Noise-aware incomplete multi-view learning networks,
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Towards Comprehensive Information-theoretic Multi-view Learning Spectral embedding fusion for incomplete multiview clustering,
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Towards Comprehensive Information-theoretic Multi-view Learning Tensor-based unsupervised feature selection for error-robust handling of unbalanced incomplete multi-view data,
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Towards Comprehensive Information-theoretic Multi-view Learning Anchor graph network for incomplete multiview clustering,
Reference 36
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Towards Comprehensive Information-theoretic Multi-view Learning Reliable representation learning for incomplete multi-view missing multi-label classification,
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Observation e83f758e-39be-48a2-9854-310e7c14102f · outbound
Towards Comprehensive Information-theoretic Multi-view Learning How does information bottleneck help deep learning?
Reference 38
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Towards Comprehensive Information-theoretic Multi-view Learning Generalized information-theoretic multi-view clustering,
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Towards Comprehensive Information-theoretic Multi-view Learning Differentiable information bot- tleneck for deterministic multi-view clustering,
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Towards Comprehensive Information-theoretic Multi-view Learning Common information is far less than mutual information
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Reference 46
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Observation f4ad8c8a-60f4-4ffe-86e8-04a06b1225ab · outbound
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Observation b1f52ac8-4e4a-4c8d-9441-b5cd8cce0670 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning MINE: Mutual Information Neural Estimation
Reference 48
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Observation 75f57f4b-7a40-4911-8161-deb980119c70 · outbound
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Reference 49
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Reference 50
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Reference 52
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Towards Comprehensive Information-theoretic Multi-view Learning Interpretable graph convolutional network for multi-view semi-supervised learning,
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Towards Comprehensive Information-theoretic Multi-view Learning Multi- view fuzzy classification with subspace clustering and information granules,
Reference 54
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Reference 55
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Observation 3c88cdde-b990-42ed-924a-b8e3f419a1d0 · outbound
Towards Comprehensive Information-theoretic Multi-view Learning Visualizing data using t-sne
Reference 56
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No inbound Pith citation observations are available.