Paper Citation Record · LEDGER

StaQ it! Growing neural networks for Policy Mirror Descent

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.13862.

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

pith.paper-citation-record.v1
2506.13862 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:34:04.168498Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy5
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86109e89-1663-4981-a269-60bc7099eba2 · outbound

This paper cites single-task RL.

StaQ it! Growing neural networks for Policy Mirror Descent single-task RL

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:34:06.503389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7264f06-876d-4bf3-ac89-6f1a90f7d4ea · outbound

This paper cites an unresolved cited work.

StaQ it! Growing neural networks for Policy Mirror Descent Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:34:07.288593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf13b061-6f02-4338-947f-3b3082204d4b · outbound

This paper cites an unresolved cited work.

StaQ it! Growing neural networks for Policy Mirror Descent Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:34:06.730051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7014e099-0c24-42b9-a2c3-688f78ce2d9a · outbound

This paper cites MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments.

StaQ it! Growing neural networks for Policy Mirror Descent MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:02.491366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13004cb4-2553-452c-87f0-0eb8c1412822 · outbound

This paper cites an unresolved cited work.

StaQ it! Growing neural networks for Policy Mirror Descent Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:34:07.545576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bb50f7b-3cd9-4073-b96f-4cbeae8614ef · outbound

This paper cites an unresolved cited work.

StaQ it! Growing neural networks for Policy Mirror Descent Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:34:06.224679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c052211d-e640-432d-8c14-0d3c16cdc075 · outbound

This paper cites For PQN, we use the CleanRL implementation (Huang et al., 2022).

StaQ it! Growing neural networks for Policy Mirror Descent For PQN, we use the CleanRL implementation (Huang et al., 2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:34:05.917222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2977c183-1317-43ac-b637-925c2a76c054 · outbound

This paper cites an unresolved cited work.

StaQ it! Growing neural networks for Policy Mirror Descent Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:34:05.694862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 604c68c7-509d-41e0-a758-99730384f708 · outbound

This paper cites In the MinAtar environ- ments α is linearly annealed from 1 to 0 over the course of learning.∗Humanoid-v4 uses a hidden layer size of256.

StaQ it! Growing neural networks for Policy Mirror Descent In the MinAtar environ- ments α is linearly annealed from 1 to 0 over the course of learning.∗Humanoid-v4 uses a hidden layer size of256

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:34:05.424094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e27c280b-70f5-4b1e-bb4a-d2578ef42c6b · outbound

This paper cites an unresolved cited work.

StaQ it! Growing neural networks for Policy Mirror Descent Unresolved cited work

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T00:34:05.131796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81bef3d0-d1a3-4e91-8a59-3480fe621da4 · outbound

This paper cites Classic and MinAtar hyperparameters are based on the original paper (Gallici et al., 2025), while MuJoCo hyperparameters were found by hyperparameter tuning.

StaQ it! Growing neural networks for Policy Mirror Descent Classic and MinAtar hyperparameters are based on the original paper (Gallici et al., 2025), while MuJoCo hyperparameters were found by hyperparameter tuning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:34:04.937775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b0f0d1f-d8c6-4ac8-bb09-b376ac207a24 · outbound

This paper cites doi: 10.1016/S0167-6377(02)00231-6.

StaQ it! Growing neural networks for Policy Mirror Descent doi: 10.1016/S0167-6377(02)00231-6

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:01.737396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89fea3c6-8f12-4a8f-99a4-1d118f9ff6c4 · outbound

This paper cites Mirror Descent Policy Optimization.

StaQ it! Growing neural networks for Policy Mirror Descent Mirror Descent Policy Optimization

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:02.274823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a11d5ff7-9cf5-4c62-91ea-fcb73de79e63 · outbound

This paper cites We can see in Fig.

StaQ it! Growing neural networks for Policy Mirror Descent We can see in Fig

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:34:07.019219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82fdb66c-f27d-4497-abf3-de8584454647 · outbound

This paper cites Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies.

StaQ it! Growing neural networks for Policy Mirror Descent Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:02.598175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb783b25-fc5b-4a52-b22e-b3a4fd72315a · outbound

This paper cites Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity.

StaQ it! Growing neural networks for Policy Mirror Descent Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:02.124836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 726edaa6-805d-4d80-9f87-9537bbeb5c61 · outbound

This paper cites Randomized Ensembled Double Q-Learning: Learning Fast Without a Model.

StaQ it! Growing neural networks for Policy Mirror Descent Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:01.863748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1bc58c-a35c-4fa4-a565-7dc90dcc5f57 · outbound

This paper cites Maxmin Q-learning: Controlling the Estimation Bias of Q-learning.

StaQ it! Growing neural networks for Policy Mirror Descent Maxmin Q-learning: Controlling the Estimation Bias of Q-learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:01.965749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c1b16f-eca0-4fbb-9424-7b73cac187dd · outbound

This paper cites van Hasselt, H., Doron, Y., Strub, F., Hessel, M., Sonnerat, N., and Modayil, J.

StaQ it! Growing neural networks for Policy Mirror Descent van Hasselt, H., Doron, Y., Strub, F., Hessel, M., Sonnerat, N., and Modayil, J

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:02.354750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.