Paper Citation Record · LEDGER

DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.10410.

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

pith.paper-citation-record.v1
2006.10410 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:58:33.334458Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:47:50.454414Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 354b19a5-705b-4b70-b2cc-525675aaf223 · inbound

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria cites this paper.

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:50:56.491121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47174499-4607-4911-b25f-e7df15edd7d8 · inbound

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria cites this paper.

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T08:58:33.334458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dca485e-dacb-4fca-af6b-983af41b4c9d · inbound

AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play cites this paper.

AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:56:35.028632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b0a9814d-518e-4306-80ad-1c59bca55711 · inbound

Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games cites this paper.

Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:49:41.639523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 665cb4b6-3870-4105-9c33-292e9d29707e · inbound

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria cites this paper.

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:47:50.455662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be6e0349-e3b3-4541-ada6-d87c88483f77 · inbound

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization cites this paper.

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.392185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.