Paper Citation Record · LEDGER

Convex Relaxations for the Optimization of Markov Processes

As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.09423.

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

pith.paper-citation-record.v1
2607.09423 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:08:01.989422Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact3
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50ee0b29-8b56-4f00-8c59-c122e70b6fad · outbound

This paper cites Mosek optimization toolbox for matlab.

Convex Relaxations for the Optimization of Markov Processes Mosek optimization toolbox for matlab

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

Source-reported events for the cited work

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Observation 69fabf8b-a0d8-445e-8d95-eae27a8b5616 · outbound

This paper cites Central Limit Theorems for General Transportation Costs.

Convex Relaxations for the Optimization of Markov Processes Central Limit Theorems for General Transportation Costs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 93eef5d2-b9b7-4730-88a9-92de6a985fc0 · outbound

This paper cites A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem.

Convex Relaxations for the Optimization of Markov Processes A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 9d7ea932-1f38-4549-8651-e8465874cb03 · outbound

This paper cites On the Relation Between Optimal Transport and Schr¨ odinger Bridges: A Stochastic Control Viewpoint.

Convex Relaxations for the Optimization of Markov Processes On the Relation Between Optimal Transport and Schr¨ odinger Bridges: A Stochastic Control Viewpoint

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 0e7ceebc-037f-4e27-bb13-09a73a9b59a1 · outbound

This paper cites Convex relaxation for Fokker–Planck equation.

Convex Relaxations for the Optimization of Markov Processes Convex relaxation for Fokker–Planck equation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation e424172c-abd7-4224-8851-ec2022ed8fc8 · outbound

This paper cites Diffusion Schr¨ odinger Bridge with Applications to Score-Based Generative Modeling.

Convex Relaxations for the Optimization of Markov Processes Diffusion Schr¨ odinger Bridge with Applications to Score-Based Generative Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 701a3b03-9f9d-4fa8-8449-bce5eb33ece6 · outbound

This paper cites Approximation and sampling of multivariate probability distributions in the tensor train decomposition.

Convex Relaxations for the Optimization of Markov Processes Approximation and sampling of multivariate probability distributions in the tensor train decomposition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 76922de3-51a5-4ddd-b00c-de4280113649 · outbound

This paper cites Dynamical optimal transport of nonlinear control-affine systems.

Convex Relaxations for the Optimization of Markov Processes Dynamical optimal transport of nonlinear control-affine systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation b5a1b70f-fedb-4519-b355-5ec4bfee4eca · outbound

This paper cites How to train your neural ODE: the world of Jacobian and kinetic regularization.

Convex Relaxations for the Optimization of Markov Processes How to train your neural ODE: the world of Jacobian and kinetic regularization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation ee90bdea-afe5-4433-b370-13810642f511 · outbound

This paper cites On the rate of convergence in Wasserstein distance of the empirical measure.

Convex Relaxations for the Optimization of Markov Processes On the rate of convergence in Wasserstein distance of the empirical measure

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation a4c85428-9fa9-407f-ab14-246961f9f923 · outbound

This paper cites On the translocation of masses.

Convex Relaxations for the Optimization of Markov Processes On the translocation of masses

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 3a710045-75e5-4cb8-a12e-59ee8288acea · outbound

This paper cites Convex relaxation approaches for high-dimensional optimal transport.

Convex Relaxations for the Optimization of Markov Processes Convex relaxation approaches for high-dimensional optimal transport

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 365b34e1-f8c2-4f9a-8f55-3776b067fa85 · outbound

This paper cites Discrete Diffusion Schr\"odinger Bridge Matching for Graph Transformation.

Convex Relaxations for the Optimization of Markov Processes Discrete Diffusion Schr\"odinger Bridge Matching for Graph Transformation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 1a042dd2-1594-4bda-b0ad-dda47528e6a6 · outbound

This paper cites Optimal Flow Matching: Learning Straight Trajectories in Just One Step.

Convex Relaxations for the Optimization of Markov Processes Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 068b6563-897c-473f-8589-82d2b4bd7b82 · outbound

This paper cites Convergent SDP-Relaxations in Polynomial Optimization with Sparsity.

Convex Relaxations for the Optimization of Markov Processes Convergent SDP-Relaxations in Polynomial Optimization with Sparsity

Reference 15

Resolution: verified exact; doi, observed 2026-07-13T03:09:17.516773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72593403-58e0-4ef7-8015-1409e7e994c8 · outbound

This paper cites an unresolved cited work.

Convex Relaxations for the Optimization of Markov Processes Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation ba536316-a880-4f66-8f12-150f680e1ae1 · outbound

This paper cites A survey of the Schr\"odinger problem and some of its connections with optimal transport.

Convex Relaxations for the Optimization of Markov Processes A survey of the Schr\"odinger problem and some of its connections with optimal transport

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 7e258241-8cf3-4225-8771-b608ac35a7a0 · outbound

This paper cites Constrained dynamical optimal transport and its Lagrangian formulation.

Convex Relaxations for the Optimization of Markov Processes Constrained dynamical optimal transport and its Lagrangian formulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 455948d9-610c-45df-99f4-b576f6462ffd · outbound

This paper cites Moment-SoS Methods for Optimal Transport Problems.

Convex Relaxations for the Optimization of Markov Processes Moment-SoS Methods for Optimal Transport Problems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation ee71cd51-f60b-4e8a-bd97-be244bf06e3c · outbound

This paper cites Optimal Transport with Proximal Splitting.

Convex Relaxations for the Optimization of Markov Processes Optimal Transport with Proximal Splitting

Reference 20

Resolution: verified exact; doi, observed 2026-07-13T03:09:17.487599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 567ac5e5-1501-41b0-b3de-8d6c484c86cb · outbound

This paper cites Parrilo and Rekha R.

Convex Relaxations for the Optimization of Markov Processes Parrilo and Rekha R

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 1401ec2e-2999-45f6-b774-4656777a1676 · outbound

This paper cites an unresolved cited work.

Convex Relaxations for the Optimization of Markov Processes Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation a812edcd-b58a-4862-9f33-9e407a75432f · outbound

This paper cites an unresolved cited work.

Convex Relaxations for the Optimization of Markov Processes Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation c44186bc-16b7-4579-9f91-8ce3b7763181 · outbound

This paper cites Diffusion Schr¨ odinger Bridge Matching.

Convex Relaxations for the Optimization of Markov Processes Diffusion Schr¨ odinger Bridge Matching

Reference 24

Resolution: malformed identifier; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 813827f7-753a-4e5b-a8b6-a1e8fa45b418 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Convex Relaxations for the Optimization of Markov Processes Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 60604d86-c3c2-4326-ba64-276fd322b2b8 · outbound

This paper cites TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics.

Convex Relaxations for the Optimization of Markov Processes TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation d32b27ae-9d1b-4187-ac1f-c5cdf00b52a0 · outbound

This paper cites an unresolved cited work.

Convex Relaxations for the Optimization of Markov Processes Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 4803502b-bcd2-428e-8dc0-d2f8d9f44196 · outbound

This paper cites Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity.

Convex Relaxations for the Optimization of Markov Processes Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity

Reference 28

Resolution: verified exact; doi, observed 2026-07-13T03:09:17.498125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10568479-29e2-4758-873b-3a718e1dcd0d · outbound

This paper cites A scalable deep learning approach for solving high-dimensional dynamic optimal transport.

Convex Relaxations for the Optimization of Markov Processes A scalable deep learning approach for solving high-dimensional dynamic optimal transport

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation a2a425cf-03bd-4c5c-acbd-069e3ce49f3a · outbound

This paper cites Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance.

Convex Relaxations for the Optimization of Markov Processes Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Observation 6500f23c-31fd-42b1-8624-e3f0de716dc5 · outbound

This paper cites Computing high-dimensional optimal transport by flow neural networks.

Convex Relaxations for the Optimization of Markov Processes Computing high-dimensional optimal transport by flow neural networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.989422Z

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Pith citing papers

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