Paper Citation Record · LEDGER

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2506.00801.

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

pith.paper-citation-record.v1
2506.00801 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:04:48.756053Z

measured 27 of 27 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:20:55.444506Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:01:00.922040Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy13
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1462dd1-d59a-40dc-b878-7a82f8cfe228 · outbound

This paper cites Deep Learning Approximation for Stochastic Control Problems.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Deep Learning Approximation for Stochastic Control Problems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:47.393040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 093c3648-5d0d-4ab7-87b4-533f199a1993 · outbound

This paper cites Solving high-dimensional partial differential equations using deep learning.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Solving high-dimensional partial differential equations using deep learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:47.465515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f046755-e0cf-4720-a745-201034bdd57e · outbound

This paper cites Deep optimal stopping.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Deep optimal stopping

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:52.843915Z

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 7b75b4a8-4590-4b82-87d8-4101c0b974f5 · outbound

This paper cites Deep hedging.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Deep hedging

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:47.630414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3389021a-b052-405b-a7ca-31faab855838 · outbound

This paper cites Deep neural networks algorithms for stochastic control problems on finite horizon: convergence analysis.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Deep neural networks algorithms for stochastic control problems on finite horizon: convergence analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:52.512510Z

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 c9d34816-e8b0-400a-b26b-c73897b3e39d · outbound

This paper cites Deep empirical risk minimization in finance: Looking into the future.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Deep empirical risk minimization in finance: Looking into the future

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:52.245696Z

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 3b34e3dd-f57b-437a-8753-6420e91b7854 · outbound

This paper cites an unresolved cited work.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:04:51.901739Z

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 16c01c6b-aeb3-4e96-aa80-e69b9030942d · outbound

This paper cites Brown, James E.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Brown, James E

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:51.600045Z

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 819d35b9-dd6f-4d15-87a7-9cad8f19da6b · outbound

This paper cites Brown and James E.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Brown and James E

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:51.395059Z

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 24b8e1a0-1381-4f7b-9725-7e9ab0a93880 · outbound

This paper cites Information relaxation and a duality-driven algorithm for stochastic dynamic programs.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Information relaxation and a duality-driven algorithm for stochastic dynamic programs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:51.234249Z

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 2fb8e116-65db-4cb5-82c2-96b52ed33d26 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Explaining and Harnessing Adversarial Examples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:48.155345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c02045-9185-4307-a6fb-9c26b7d2ccf0 · outbound

This paper cites Adversarial Attacks on Neural Network Policies.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Adversarial Attacks on Neural Network Policies

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:48.178616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e85517ed-6e4f-4b51-8290-161f10ffb218 · outbound

This paper cites Generative adversarial networks.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Generative adversarial networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:48.202367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c2881f0-1045-4984-bff1-10eeb4f83dbe · outbound

This paper cites an unresolved cited work.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:48.239023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b16dab2b-b553-47e6-ac0f-3ec359b1a679 · outbound

This paper cites Bertsekas and John N.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Bertsekas and John N

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:51.065881Z

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 cd6b65d8-0769-411e-94a7-d9acb67541c8 · outbound

This paper cites Balseiro and David B.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Balseiro and David B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:50.975865Z

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 0573079b-8871-4d5a-bdb1-e8070c8f9d9e · outbound

This paper cites Monte Carlo Methods in Financial Engineering, volume 53.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Monte Carlo Methods in Financial Engineering, volume 53

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:50.784086Z

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 3cc970ec-dc83-4770-8a85-d484434fcfdd · outbound

This paper cites an unresolved cited work.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:04:50.579701Z

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 82a829b0-1b3c-4f18-89a4-bfd5866e48bd · outbound

This paper cites an unresolved cited work.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:04:50.397397Z

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 7fd67cef-c7d4-43a6-a582-721695e4a34e · outbound

This paper cites Envelope theorems for arbitrary choice sets.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Envelope theorems for arbitrary choice sets

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:50.164252Z

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 7a3ddbd1-1a72-47e1-82f7-23af7f47973e · outbound

This paper cites an unresolved cited work.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:04:50.007291Z

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 a651e356-0c58-4d22-b446-b80ad3010f14 · outbound

This paper cites Stochastic estimation of the maximum of a regression function.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Stochastic estimation of the maximum of a regression function

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:49.748297Z

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 7a9c3522-daeb-4464-9209-2dd10653df94 · outbound

This paper cites an unresolved cited work.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:04:49.565936Z

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 f2fd3db6-98e7-4ce7-b534-05f483804a10 · outbound

This paper cites an unresolved cited work.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:04:49.397514Z

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 9441746d-ad33-4198-b4d8-d05346f92e54 · outbound

This paper cites Optimal execution of portfolio transactions.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Optimal execution of portfolio transactions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:49.196486Z

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 d17cdcef-0173-4a89-8206-80c8633d1c5a · outbound

This paper cites Dynamic portfolio execution and information relaxations.

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems Dynamic portfolio execution and information relaxations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:49.027256Z

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 dd36cfc8-be7f-453f-a2a7-4286ff770f1a · inbound

Dual Approaches to Stochastic Control via SPDEs and the Pathwise Hopf Formula cites this paper.

Dual Approaches to Stochastic Control via SPDEs and the Pathwise Hopf Formula Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:01:00.925174Z

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.