Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:54:26.814792Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.24894.
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 2026-08-04T13:54:26.814792Z
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
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1f985276-6f52-4f7b-acc8-4f9281013c38 · outbound
Improved Stochastic Optimization of LogSumExp Label Noise Types and Their Effects on Deep Learning
Reference 1
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Observation fe0287cf-b201-4f2f-9263-d53ecdab77c5 · outbound
Improved Stochastic Optimization of LogSumExp Methods of Information Geometry
Reference 2
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Observation 7a2002b3-d892-49d7-9cd2-1c85f95443f9 · outbound
Improved Stochastic Optimization of LogSumExp Robust solutions of optimization problems affected by uncertain probabilities
Reference 3
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Observation 755f0659-803e-496d-9afd-71f73b5885ae · outbound
Improved Stochastic Optimization of LogSumExp Iterative bregman projections for regularized transportation problems
Reference 4
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Observation 0e9b3e4e-7fc1-46e5-a818-235a6dbd6e0f · outbound
Improved Stochastic Optimization of LogSumExp Katsoulakis, Yannis Pantazis, and Luc Rey-Bellet
Reference 5
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Observation 3dcb07ad-994d-47f7-a6f5-e892ffba9679 · outbound
Improved Stochastic Optimization of LogSumExp Pattern recognition and machine learning, volume 4
Reference 6
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Observation d51d33aa-0382-4e5f-9e8d-ae5945fc077e · outbound
Improved Stochastic Optimization of LogSumExp Efficient bounds for the softmax function and applications to approximate inference in hybrid models
Reference 7
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Observation ab4164da-9b7b-45dd-b18b-4d2815b74fa2 · outbound
Improved Stochastic Optimization of LogSumExp Unbalanced Optimal Transport: Dynamic and Kantorovich Formulation
Reference 8
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Observation 416741ac-11f7-4310-ae20-6f510739a93b · outbound
Improved Stochastic Optimization of LogSumExp Sinkhorn distances: Lightspeed computation of optimal transport
Reference 9
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Observation 933c0273-0ff6-47ba-bce4-bf1328fd208e · outbound
Improved Stochastic Optimization of LogSumExp The mnist database of handwritten digit images for machine learning research
Reference 10
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Observation 46dca49b-d661-4db1-8073-969db5f8b60d · outbound
Improved Stochastic Optimization of LogSumExp Stochastic optimization for large-scale optimal transport
Reference 11
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Observation b658f236-156e-4fe3-ae0d-2f7f5d8905ba · outbound
Improved Stochastic Optimization of LogSumExp What every computer scientist should know about floating-point arithmetic
Reference 12
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Observation b1ae91c6-9640-4421-bd68-86a40f99fcbb · outbound
Improved Stochastic Optimization of LogSumExp Kullback- Leibler Divergence Constrained Distributionally Robust Optimization
Reference 13
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Observation 85c3c369-6880-4219-82ae-35b464a1bc2f · outbound
Improved Stochastic Optimization of LogSumExp On the translocation of masses
Reference 14
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Observation 18e1447e-70c6-4368-a371-97dac6b9db1a · outbound
Improved Stochastic Optimization of LogSumExp Fast yet simple natural-gradient descent for variational inference in complex models
Reference 15
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Observation f2bb4020-8ca8-43b6-917d-027d70a03c48 · outbound
Improved Stochastic Optimization of LogSumExp The Bayesian Learning Rule
Reference 16
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Observation 948acf9a-41ec-464b-a6c4-8f8611192615 · outbound
Improved Stochastic Optimization of LogSumExp A new optimal transport distance on the space of finite Radon measures
Reference 17
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Observation 45c8316e-7b93-4785-9278-18bc0d3a5c9c · outbound
Improved Stochastic Optimization of LogSumExp Distributionally Robust Optimization
Reference 18
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Observation b5aebcbe-f525-4499-92b3-3bc101e621b5 · outbound
Improved Stochastic Optimization of LogSumExp Large-scale methods for distributionally robust optimization
Reference 19
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Observation 020157b3-5e4a-49d5-bc76-1503d0bbcad8 · outbound
Improved Stochastic Optimization of LogSumExp Optimal entropy-transport problems and a new Hellinger – Kantorovich distance between positive measures
Reference 20
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Observation a6a5c361-ca4d-48af-8b57-3f5d1e7f2268 · outbound
Improved Stochastic Optimization of LogSumExp Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations
Reference 21
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Observation 29a650cc-a39b-412a-8c81-82b39caded36 · outbound
Improved Stochastic Optimization of LogSumExp Guaranteed bounds on information-theoretic measures of univariate mixtures using piecewise log-sum-exp inequalities
Reference 22
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Observation 1d889839-6cf9-48a0-bdc0-e82faa1100c4 · outbound
Improved Stochastic Optimization of LogSumExp Outlier-robust wasserstein dro
Reference 23
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Observation 7d81470e-3dfc-4618-af6a-556ab90b804c · outbound
Improved Stochastic Optimization of LogSumExp Sparse spatial autoregressions
Reference 24
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Observation f28df147-1e1c-4353-9e8e-0f7a68ed2abc · outbound
Improved Stochastic Optimization of LogSumExp On solving large-scale finite minimax problems using exponential smoothing
Reference 25
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Observation e61bb35d-2160-4363-8116-412859fb4e7d · outbound
Improved Stochastic Optimization of LogSumExp Computational Optimal Transport
Reference 26
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Observation e73bdb05-04ef-4bab-9f2f-ce4029466fe6 · outbound
Improved Stochastic Optimization of LogSumExp Information theory: From coding to learning
Reference 27
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Observation 7eadc6f6-5eb7-4269-a3bf-652430fedcc2 · outbound
Improved Stochastic Optimization of LogSumExp Optimization of conditional value-at-risk
Reference 28
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Observation b7dd1dbd-0e8c-4cbf-ad9d-f7f9225fac1c · outbound
Improved Stochastic Optimization of LogSumExp Optimal Transport for Applied Mathematicians: Calculus of Variations, PDEs , and Modeling
Reference 29
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Observation 48bf6cd9-bfd6-4f8b-b027-1c58c23ef108 · outbound
Improved Stochastic Optimization of LogSumExp Certifying Some Distributional Robustness with Principled Adversarial Training
Reference 30
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Observation 26d12798-56df-41cd-bd15-681570fb9c93 · outbound
Improved Stochastic Optimization of LogSumExp Statistical Learning with Conditional Value at Risk
Reference 31
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Observation 400ef101-9197-4e22-9e9f-53c44001133b · outbound
Improved Stochastic Optimization of LogSumExp Demonstration-regularized RL
Reference 32
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Observation 9acad66b-90bf-4e1c-bb8d-008acef016d8 · outbound
Improved Stochastic Optimization of LogSumExp Unresolved cited work
Reference 33
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Observation 28b560ec-9873-4d9f-aec1-5af3cc121102 · outbound
Improved Stochastic Optimization of LogSumExp Optimal transport: old and new, volume 338
Reference 34
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Observation 81a9e667-bf09-4efd-84c6-a34e7e6c96c6 · outbound
Improved Stochastic Optimization of LogSumExp Graphical models, exponential families, and variational inference
Reference 35
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Observation 95f5c5d7-c3fd-4090-8e80-e7afe6b62478 · outbound
Improved Stochastic Optimization of LogSumExp Sinkhorn Distributionally Robust Optimization
Reference 36
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Observation 5a17dbcd-dc6f-48ba-8337-fe61941f94c0 · outbound
Improved Stochastic Optimization of LogSumExp Outlier-robust distributionally robust optimization via unbalanced optimal transport
Reference 37
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Observation f4d3f3b0-6611-4f98-b3d7-57b09dc7bb30 · outbound
Improved Stochastic Optimization of LogSumExp write newline
Reference 38
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Observation 0837d296-7cd1-4804-ae8f-4f288f00ab3f · outbound
Reference 39
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Observation ffd0a576-60a5-45b5-a87a-d956a9d50540 · outbound
Improved Stochastic Optimization of LogSumExp Unresolved cited work
Reference 40
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Observation a0d86132-cf73-4f2a-9071-f39b45de6d43 · outbound
Improved Stochastic Optimization of LogSumExp Unresolved cited work
Reference 41
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No inbound Pith citation observations are available.