Paper Citation Record · LEDGER

Distances for Markov chains from sample streams

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2505.18005.

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

pith.paper-citation-record.v1
2505.18005 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:11.520892Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T08:05:55.418491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:06:47.657564Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy36
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e72f758d-64b1-4110-ba69-b3f8506d90c2 · outbound

This paper cites Near-linear time approximation algorithms for optimal transport via S inkhorn iteration.

Distances for Markov chains from sample streams Near-linear time approximation algorithms for optimal transport via S inkhorn iteration

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:18.066721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation feabed67-1f25-40a2-b946-1cadf2a11e90 · outbound

This paper cites Wasserstein generative adversarial networks.

Distances for Markov chains from sample streams Wasserstein generative adversarial networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:17.863773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b0c0abb-d21f-49a7-9ab4-65e0c383cbe1 · outbound

This paper cites Causal transport in discrete time and applications.

Distances for Markov chains from sample streams Causal transport in discrete time and applications

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:17.619256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 281aee69-4e33-4248-987c-cd6f1ddd53c7 · outbound

This paper cites Stochastic optimization for regularized wasserstein estimators.

Distances for Markov chains from sample streams Stochastic optimization for regularized wasserstein estimators

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:17.437615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd68743e-25ae-46da-a264-aa7d3c845b7a · outbound

This paper cites Distances for M arkov chains, and their differentiation.

Distances for Markov chains from sample streams Distances for M arkov chains, and their differentiation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:17.196710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b7617cd-d613-4547-a766-5407be4a5d3b · outbound

This paper cites Bisimulation metrics are optimal transport distances, and can be computed efficiently.

Distances for Markov chains from sample streams Bisimulation metrics are optimal transport distances, and can be computed efficiently

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:16.997601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff4e611f-aa39-4b87-985e-fbe45774505e · outbound

This paper cites Scalable methods for computing state similarity in deterministic M arkov decision processes.

Distances for Markov chains from sample streams Scalable methods for computing state similarity in deterministic M arkov decision processes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:16.762703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e84900c1-40c5-4715-bc9a-685195344550 · outbound

This paper cites Prediction, Learning, and Games.

Distances for Markov chains from sample streams Prediction, Learning, and Games

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:08.699935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53db93b7-d64e-40e8-8148-f758f5b3a27f · outbound

This paper cites On the complexity of computing probabilistic bisimilarity.

Distances for Markov chains from sample streams On the complexity of computing probabilistic bisimilarity

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:16.538394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a257cb3e-9ac4-4380-9c94-08032629252a · outbound

This paper cites Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning.

Distances for Markov chains from sample streams Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:16.322517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe68e7f0-0dfb-4270-9d41-313ba2e73ffb · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Distances for Markov chains from sample streams Sinkhorn distances: Lightspeed computation of optimal transport

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:16.150695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad1c96fa-5c98-4f8b-8931-a7617b75dd8a · outbound

This paper cites Metrics for labeled Markov systems.

Distances for Markov chains from sample streams Metrics for labeled Markov systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:16.016027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 37a391f6-3a6a-4286-9bf6-033fa0ea0535 · outbound

This paper cites The metric analogue of weak bisimulation for probabilistic processes.

Distances for Markov chains from sample streams The metric analogue of weak bisimulation for probabilistic processes

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:15.855104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2eb6f4ac-9844-43c7-9b7c-9a4ff8b8bc19 · outbound

This paper cites Provably Efficient RL with Rich Observations via Latent State Decoding.

Distances for Markov chains from sample streams Provably Efficient RL with Rich Observations via Latent State Decoding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:15.676806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43480cf4-7c7c-4929-8b9e-649b4553a066 · outbound

This paper cites Computational methods for adapted optimal transport.

Distances for Markov chains from sample streams Computational methods for adapted optimal transport

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:15.471191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55e0b47a-971c-4db6-b75a-90e13dc70b0b · outbound

This paper cites Learning with minibatch W asserstein: asymptotic and gradient properties.

Distances for Markov chains from sample streams Learning with minibatch W asserstein: asymptotic and gradient properties

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:15.260801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d9481bd-83e4-4c52-a489-b67a4d27371f · outbound

This paper cites Minibatch optimal transport distances; analysis and applications.

Distances for Markov chains from sample streams Minibatch optimal transport distances; analysis and applications

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:09.317303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 406a8d50-1458-4150-af8b-7a65d039b073 · outbound

This paper cites Metrics for finite Markov decision processes.

Distances for Markov chains from sample streams Metrics for finite Markov decision processes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:15.047131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0ebf776-b0dd-47cf-8c18-c4af3cdc3e2f · outbound

This paper cites Stochastic Optimization for Large-scale Optimal Transport.

Distances for Markov chains from sample streams Stochastic Optimization for Large-scale Optimal Transport

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:14.902388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42b16013-a2d2-4ef4-9cf0-e6baf5e24fee · outbound

This paper cites Learning generative models with S inkhorn divergences.

Distances for Markov chains from sample streams Learning generative models with S inkhorn divergences

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:14.756101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67f30d23-b620-4b44-a114-8d427d372df5 · outbound

This paper cites Equivalence notions and model minimization in Markov decision processes.

Distances for Markov chains from sample streams Equivalence notions and model minimization in Markov decision processes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:14.602994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c9729fb-0d19-44ba-b573-c0b3f9f05102 · outbound

This paper cites A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning.

Distances for Markov chains from sample streams A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:43:11.669702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65099c39-ecb1-4bc5-96cf-8ab909b1ed19 · outbound

This paper cites Approximate policy iteration with bisimulation metrics.

Distances for Markov chains from sample streams Approximate policy iteration with bisimulation metrics

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:14.414863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa8d0665-c73c-417f-a6b8-4b23069c9502 · outbound

This paper cites Empirical regularized optimal transport: Statistical theory and applications.

Distances for Markov chains from sample streams Empirical regularized optimal transport: Statistical theory and applications

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:14.233885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b01a1bca-dbbf-4df1-9a9c-0186479c8b3c · outbound

This paper cites Causal Transport Plans and Their Monge–Kantorovich Problems.

Distances for Markov chains from sample streams Causal Transport Plans and Their Monge–Kantorovich Problems

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:14.010378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11af05b8-20d5-4a27-8dc0-fcd9f445b134 · outbound

This paper cites Continuous control with deep reinforcement learning.

Distances for Markov chains from sample streams Continuous control with deep reinforcement learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:10.014025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd86c4b-e55c-4d88-bb49-881cf5a98e3b · outbound

This paper cites Online sinkhorn: Optimal transport distances from sample streams.

Distances for Markov chains from sample streams Online sinkhorn: Optimal transport distances from sample streams

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:13.853299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ce0b8e8-89e0-41d9-806a-dd4ee897a878 · outbound

This paper cites Communication and Concurrency.

Distances for Markov chains from sample streams Communication and Concurrency

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:13.679505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 459cb7ca-290c-4292-9638-e16b4602fb00 · outbound

This paper cites Bicausal optimal transport for M arkov chains via dynamic programming.

Distances for Markov chains from sample streams Bicausal optimal transport for M arkov chains via dynamic programming

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:13.538995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 466f974c-7315-414e-8400-ecdf58f350a8 · outbound

This paper cites Nemirovski, A.

Distances for Markov chains from sample streams Nemirovski, A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:13.410443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60805593-1513-4802-a3c8-a281a7f76a95 · outbound

This paper cites Dealing with unbounded gradients in stochastic saddle-point optimization.

Distances for Markov chains from sample streams Dealing with unbounded gradients in stochastic saddle-point optimization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:13.248063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f93e72af-2394-43e1-bb2a-3b428faf8143 · outbound

This paper cites Optimal transport for stationary Markov chains via policy iteration.

Distances for Markov chains from sample streams Optimal transport for stationary Markov chains via policy iteration

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:13.040000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4130639c-e7f9-4634-91d8-d66f8ce48594 · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

Distances for Markov chains from sample streams Online Learning: A Modern Introduction Using Convex Optimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:10.495407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259949c7-cec5-4336-af95-11d1c8352aa4 · outbound

This paper cites an unresolved cited work.

Distances for Markov chains from sample streams Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:43:12.864948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1855690-bcef-4773-9eb0-61491d2b174a · outbound

This paper cites Computational optimal transport.

Distances for Markov chains from sample streams Computational optimal transport

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:10.617890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f5a33c5-dd25-499e-b542-488abeca9a2c · outbound

This paper cites Pflug and Alois Pichler.

Distances for Markov chains from sample streams Pflug and Alois Pichler

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:12.718458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a55cc13b-a6db-44ef-8846-3bd33af7e70e · outbound

This paper cites Puterman.

Distances for Markov chains from sample streams Puterman

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:12.543507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5092b065-ad0b-4366-8f97-e609299a26ef · outbound

This paper cites On equivalence of martingale tail bounds and deterministic regret inequalities.

Distances for Markov chains from sample streams On equivalence of martingale tail bounds and deterministic regret inequalities

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:10.849403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcefea9-0976-44bb-ae9f-82e86569ce28 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.

Distances for Markov chains from sample streams Mastering atari, go, chess and shogi by planning with a learned model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:10.919172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0aee30d-3a2e-4d0c-84c8-20684f45ce50 · outbound

This paper cites Large-scale optimal transport and mapping estimation.

Distances for Markov chains from sample streams Large-scale optimal transport and mapping estimation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:12.429078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 876bc801-2718-42e7-bd2a-a5afa8047804 · outbound

This paper cites High rank path development: an approach to learning the filtration of stochastic processes.

Distances for Markov chains from sample streams High rank path development: an approach to learning the filtration of stochastic processes

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:12.303887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 420b38b7-7cc5-43ab-8087-d3888ca45278 · outbound

This paper cites Optimal Transport for structured data with application on graphs.

Distances for Markov chains from sample streams Optimal Transport for structured data with application on graphs

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:12.220627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1436d66d-37e5-4121-88b0-29a91229db9a · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Distances for Markov chains from sample streams Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:11.202344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9883963-f169-4682-a1df-aa5142583a4a · outbound

This paper cites An algorithm for quantitative verification of probabilistic transition systems.

Distances for Markov chains from sample streams An algorithm for quantitative verification of probabilistic transition systems

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:12.116659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc67b53b-4434-4222-b52f-792fba428993 · outbound

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

Distances for Markov chains from sample streams Optimal transport: old and new, volume 338

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:43:11.352997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab85e01-38ce-4b00-8197-7fa4c4d2edeb · outbound

This paper cites COT-GAN : Generating sequential data via causal optimal transport.

Distances for Markov chains from sample streams COT-GAN : Generating sequential data via causal optimal transport

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:11.976840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 687545e6-3214-4194-9321-152ed624df63 · outbound

This paper cites Learning Invariant Representations for Reinforcement Learning without Reconstruction.

Distances for Markov chains from sample streams Learning Invariant Representations for Reinforcement Learning without Reconstruction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:43:11.806941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 0b983095-ce24-463e-a4d1-6194ecf64cfc · inbound

Sharp $O(1/k)$ convergence rate for the Sinkhorn algorithm via a local analysis cites this paper.

Sharp $O(1/k)$ convergence rate for the Sinkhorn algorithm via a local analysis Distances for Markov chains from sample streams

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:44:27.713865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d6e56aa1-edba-44d9-87ce-f839372e988d · inbound

Effective dynamics of the Sinkhorn algorithm in the regime of low entropy regularization cites this paper.

Effective dynamics of the Sinkhorn algorithm in the regime of low entropy regularization Distances for Markov chains from sample streams

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:47.658855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.