Paper Citation Record · LEDGER

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2505.18765.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.18765 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:43.182562Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:52:53.353632Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact2
verified fuzzy20
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dddd77f5-709a-4b43-acb2-645896b441de · outbound

This paper cites A blob method for diffusion.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization A blob method for diffusion

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:44.110592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4046dac6-f68c-4593-bd4d-dee43f56b7e9 · outbound

This paper cites Particle Optimization in Stochastic Gradient MCMC.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Particle Optimization in Stochastic Gradient MCMC

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:30:43.409199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73869969-754e-4bf7-83ca-65bbf4335260 · outbound

This paper cites A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:42.923155Z

Source-reported events for the cited work

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Observation 8b896a1b-ec05-4504-83e7-cb8f36477514 · outbound

This paper cites Just pick a sign: Optimizing deep multitask models with gradient sign dropout.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Just pick a sign: Optimizing deep multitask models with gradient sign dropout

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:44.081932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fc5ddbf-42c1-45b0-8c0f-33fc49afe3cd · outbound

This paper cites Direct multisearch for multiobjective optimization.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Direct multisearch for multiobjective optimization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:44.046641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 956a9e67-c67e-4511-a4c8-0f71f80d9eed · outbound

This paper cites Multi-objective optimization.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Multi-objective optimization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:44.017870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6457a562-8423-41b1-bb09-75973988360c · outbound

This paper cites Multiple-gradient descent algorithm (mgda) for multiobjective optimization.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Multiple-gradient descent algorithm (mgda) for multiobjective optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:42.961215Z

Source-reported events for the cited work

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Observation c062a489-ab0f-42bb-b182-81d1ab767e40 · outbound

This paper cites Generative adversarial networks.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Generative adversarial networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:42.974994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0d3354-ae16-4169-a71c-0c2835a5a501 · outbound

This paper cites The variational formulation of the fokker--planck equation.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization The variational formulation of the fokker--planck equation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:42.984604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6035d4-95c7-470d-8d4c-191f9e2f1f4f · outbound

This paper cites Stochastic gradient vb and the variational auto-encoder.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Stochastic gradient vb and the variational auto-encoder

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.931457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aecaca8c-a2cb-43cf-8f7a-d9e770a83562 · outbound

This paper cites Conflict-averse gradient descent for multi-task learning.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Conflict-averse gradient descent for multi-task learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.901712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 594dd664-1c1a-46c8-a7cf-89910752c666 · outbound

This paper cites Infinite-dimensional optimization for zero-sum games via variational transport.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Infinite-dimensional optimization for zero-sum games via variational transport

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.868804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31a59d78-6eeb-48cc-b130-40e894749d96 · outbound

This paper cites Stein variational gradient descent: A general purpose bayesian inference algorithm.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Stein variational gradient descent: A general purpose bayesian inference algorithm

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:43.012854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2e1749c-05f3-4890-a1a7-145278727146 · outbound

This paper cites Profiling pareto front with multi-objective stein variational gradient descent.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Profiling pareto front with multi-objective stein variational gradient descent

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.821692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac248fab-df7a-4ec1-bc3a-c36cbc36d00e · outbound

This paper cites Modeling task relationships in multi-task learning with multi-gate mixture-of-experts.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Modeling task relationships in multi-task learning with multi-gate mixture-of-experts

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.793114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2af0792c-5682-4614-ac47-369c3ae1f501 · outbound

This paper cites Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.768323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd6b3c42-a44c-44e9-8d39-840636a16ed3 · outbound

This paper cites Moreau-yoshida variational transport: a general framework for solving regularized distributional optimization problems.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Moreau-yoshida variational transport: a general framework for solving regularized distributional optimization problems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.747696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a638ca15-cc06-47b4-830d-fbbd7dba0034 · outbound

This paper cites On a linear fused gromov-wasserstein distance for graph structured data.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization On a linear fused gromov-wasserstein distance for graph structured data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.725383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc240827-6db0-49d9-853f-e1c58c20787c · outbound

This paper cites Learning subtree pattern importance for weisfeiler-lehman based graph kernels.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Learning subtree pattern importance for weisfeiler-lehman based graph kernels

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.688987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d87a00e9-9711-4736-bccc-efda0bf622f3 · outbound

This paper cites Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:30:43.328045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d5c9483-8fe9-4a27-b806-5176281b405a · outbound

This paper cites Got: an optimal transport framework for graph comparison.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Got: an optimal transport framework for graph comparison

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:43.094633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed32e7a-76c7-48b1-9990-64f59d81a000 · outbound

This paper cites Stochastic multiple target sampling gradient descent.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Stochastic multiple target sampling gradient descent

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.651116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 075359de-d831-4550-96c5-d90f412e3e9f · outbound

This paper cites Principles of mathematical analysis.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Principles of mathematical analysis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.625556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36d82acd-3fbb-4604-8110-9ddcf5437035 · outbound

This paper cites Dynamic routing between capsules.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Dynamic routing between capsules

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.603948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fdd6038e-6d5e-4267-877c-4951552b39b0 · outbound

This paper cites Optimal transport for applied mathematicians.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Optimal transport for applied mathematicians

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:43.122841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 669eeab9-0892-4dc5-a44f-476d01df564e · outbound

This paper cites Multi-objective spibb: Seldonian offline policy improvement with safety constraints in finite mdps.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Multi-objective spibb: Seldonian offline policy improvement with safety constraints in finite mdps

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.560185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation adfcfba0-f5bb-4a85-b957-70fca25b13b0 · outbound

This paper cites Topics in optimal transportation, volume 58.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Topics in optimal transportation, volume 58

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:43.140617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62fcb6c-73da-4309-8ea6-7bffadd288d2 · outbound

This paper cites Optimal transport: old and new, volume 338.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Optimal transport: old and new, volume 338

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:43.150685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25bfa581-6948-4027-9c87-82d202d4212c · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Bayesian learning via stochastic gradient langevin dynamics

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.491111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4cfd903-f3c9-4ff3-bb1a-526f0a67ea99 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:43.164427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eebc3395-2c54-4477-8710-b2c77aea8224 · outbound

This paper cites Gradient surgery for multi-task learning.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Gradient surgery for multi-task learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.466365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0835710b-379d-467d-ab29-7e276b69c7b0 · outbound

This paper cites First-order methods for geodesically convex optimization.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization First-order methods for geodesically convex optimization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:43.441468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 940797d4-c792-4eea-8ace-5601142eb55e · outbound

This paper cites MGDA Converges under Generalized Smoothness, Provably.

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization MGDA Converges under Generalized Smoothness, Provably

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:43.182562Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 067f50f2-d486-4a0e-8216-402c58df6194 · inbound

Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization cites this paper.

Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T07:52:53.353632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.