Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:41:20.221348Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2507.13094.
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 2026-08-06T16:41:20.221348Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 45af8978-cd1c-42ea-914e-00a8c4ab2ed6 · outbound
Unsupervised Ground Metric Learning Sur les op´ erations dans les ensembles abstraits et leur application aux ´ equations int´ egrales
Reference 1
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Unsupervised Ground Metric Learning Max-Normalized Radon Cumulative Distribution Transform for Limited Data Classification
Reference 2
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Unsupervised Ground Metric Learning Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image Classification
Reference 3
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Unsupervised Ground Metric Learning Joint Metric Space Embedding by Unbalanced OT with Gromov-Wasserstein Marginal Penalization
Reference 4
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Unsupervised Ground Metric Learning The Gene Mover's Distance: Single-cell similarity via Optimal Transport
Reference 5
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Unsupervised Ground Metric Learning Geometric Analysis and Metric Learning of Instruction Em- beddings
Reference 7
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Unsupervised Ground Metric Learning Theory of Retracts
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Unsupervised Ground Metric Learning ¨Uber Abbildung von Mannigfaltigkeiten
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Unsupervised Ground Metric Learning A Simple Framework for Contrastive Learning of Visual Rep- resentations
Reference 10
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Unsupervised Ground Metric Learning Unbalanced optimal transport: Dynamic and Kantorovich formulations
Reference 11
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Unsupervised Ground Metric Learning Unresolved cited work
Reference 12
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Observation 2c44a6a8-7cb5-479b-9555-f7033d6b8f6c · outbound
Unsupervised Ground Metric Learning A Metric Learning Approach to Misogyny Categoriza- tion
Reference 13
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Unsupervised Ground Metric Learning Human Motion Analysis with Deep Metric Learning
Reference 14
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Unsupervised Ground Metric Learning Sinkhorn Distances: Lightspeed Computation of Optimal Trans- port
Reference 15
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Observation 6fd3bab8-8a56-40d4-b471-8f0355a27233 · outbound
Unsupervised Ground Metric Learning Ground Metric Learning
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Observation 64ecd683-e647-433d-ab88-5f843e5f83bf · outbound
Unsupervised Ground Metric Learning Information-theoretic metric learning
Reference 17
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Observation fed552b8-d182-4dac-bcec-c14f5dd2f2cf · outbound
Unsupervised Ground Metric Learning An Optimal Transport Approach to Deep Metric Learning (Student Abstract)
Reference 18
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Unsupervised Ground Metric Learning Fast Unsu- pervised Ground Metric Learning with Tree-Wasserstein Distance
Reference 19
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Unsupervised Ground Metric Learning Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Reference 20
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Unsupervised Ground Metric Learning Elements of Dimensionality Reduction and Manifold Learning
Reference 21
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Unsupervised Ground Metric Learning Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Reference 22
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Unsupervised Ground Metric Learning Fixed Point Theory
Reference 23
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Unsupervised Ground Metric Learning Dimensionality Reduction by Learning an Invariant Mapping
Reference 24
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Observation 5a5fe852-0cde-4011-b66f-1a1e255c1987 · outbound
Unsupervised Ground Metric Learning Integrated analysis of multimodal single-cell data
Reference 25
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Unsupervised Ground Metric Learning Ground metric learning on graphs
Reference 26
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Unsupervised Ground Metric Learning Random function iterations for consistent stochastic feasibility
Reference 27
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Unsupervised Ground Metric Learning Random Function Iterations for Stochastic Fixed Point Problems
Reference 28
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Unsupervised Ground Metric Learning Horn and Charles R
Reference 29
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Unsupervised Ground Metric Learning Deep Metric Learning for Visual Track- ing
Reference 30
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Observation ccb1f5d0-06e5-4bae-a6b0-37dc8771867a · outbound
Unsupervised Ground Metric Learning Supervised Word Mover’s Distance
Reference 31
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Unsupervised Ground Metric Learning Python package wsingular
Reference 32
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Unsupervised Ground Metric Learning Unsupervised Ground Met- ric Learning Using Wasserstein Singular Vectors
Reference 33
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Observation 1ab23956-9ca9-42de-a42a-4f75e28b2a3d · outbound
Unsupervised Ground Metric Learning Mining on Manifolds: Metric Learning without Labels
Reference 34
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Observation e3d05369-e64a-4930-8f6a-a65525b594a8 · outbound
Unsupervised Ground Metric Learning Deep Metric Learning: A Survey
Reference 35
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Unsupervised Ground Metric Learning Metric Learning in Optimal Transport for Domain Adaptation
Reference 36
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Observation d88d522f-0802-4ad8-aab3-a22f3b28a46c · outbound
Unsupervised Ground Metric Learning Unsupervised Meta- Learning for Few-Shot Image Classification
Reference 37
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Unsupervised Ground Metric Learning Transfer operators from optimal transport plans for coherent set detection
Reference 38
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Observation 18ea5510-c3c1-4b55-846e-b391bc96cfd5 · outbound
Unsupervised Ground Metric Learning Lahiri Krishna B
Reference 39
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Observation 7e444185-f3fe-4576-81d4-945e4a90906a · outbound
Unsupervised Ground Metric Learning From Word Embeddings To Document Distances
Reference 40
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Unsupervised Ground Metric Learning Coupled Hierarchical Structure Learning using Tree- Wasserstein Distance
Reference 41
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Observation 57cd0c7f-371f-4c28-9bf9-f3ed9c10cf77 · outbound
Unsupervised Ground Metric Learning Hierarchical Neighbors Embedding
Reference 42
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Unsupervised Ground Metric Learning SphereFace: Deep Hypersphere Embedding for Face Recog- nition
Reference 43
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Observation 2a14fb70-a82d-41aa-bb91-5cec28041e9e · outbound
Unsupervised Ground Metric Learning BioEncoder: A met- ric learning toolkit for comparative organismal biology
Reference 44
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Unsupervised Ground Metric Learning Visualizing Data using t-SNE
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Unsupervised Ground Metric Learning Metric learning on expression data for gene function prediction
Reference 46
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Unsupervised Ground Metric Learning Interpolation of scattered data: distance matrices and condition- ally positive definite functions
Reference 47
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Unsupervised Ground Metric Learning DiV A: Diverse Visual Feature Aggregation for Deep Metric Learning
Reference 48
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Reference 49
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Reference 50
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Unsupervised Ground Metric Learning Computational and analytical challenges in single-cell transcriptomics
Reference 52
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Unsupervised Ground Metric Learning A tutorial on dis- tance metric learning: Mathematical foundations, algorithms, experimental analy- sis, prospects and challenges
Reference 54
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Unsupervised Ground Metric Learning Deep Metric Learning: a (Long) Survey
Reference 55
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Reference 56
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Reference 57
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Unsupervised Ground Metric Learning Distance Metric Learning for Large Margin Nearest Neighbor Classification
Reference 58
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Reference 59
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Unsupervised Ground Metric Learning SCANPY: Large-scale single-cell gene expression data analysis
Reference 60
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Reference 61
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Reference 65
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Reference 68
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Reference 2690
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No inbound Pith citation observations are available.