Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:59:48.980316Z
Paper Citation Record · LEDGER
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning
As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.02016.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c4847d24-0244-46fa-b7b9-5f18e4885b1c · outbound
This paper cites Game Theory: Analysis of Conflict.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Game Theory: Analysis of Conflict
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:50.175594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca1e0a86-466d-4555-a3e9-4319b3998854 · outbound
This paper cites Three-player games are hard.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Three-player games are hard
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:50.130353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 09042e0d-ea45-407c-8610-300d7272c35f · outbound
This paper cites MIT press, 1991.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning MIT press, 1991
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.585577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 848b09e5-6c31-4789-be38-56417bcb46ce · outbound
This paper cites Recent developments of game theory and reinforcement learning approaches: A systematic review.IEEE Access, 12:9999–10011, 2024.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Recent developments of game theory and reinforcement learning approaches: A systematic review.IEEE Access, 12:9999–10011, 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:50.078787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4a0d0cf7-4197-439d-9d26-979a1da01723 · outbound
This paper cites Schapire.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Schapire
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.618480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf46e130-0353-4eba-b79b-48a650236886 · outbound
This paper cites Explore no more: Improved high-probability regret bounds for non-stochastic bandits.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Explore no more: Improved high-probability regret bounds for non-stochastic bandits
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:50.017368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49094ab9-30a2-4735-be4b-54b906123b20 · outbound
This paper cites Eqilibrium approximation quality of current no-limit poker bots.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Eqilibrium approximation quality of current no-limit poker bots
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.958199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 42ee4dc4-3d5e-4755-b10c-d4fd256a72c4 · outbound
This paper cites Cambridge University Press, 2007.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Cambridge University Press, 2007
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.855954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31f8c99c-8389-4bcc-ae1f-26d5f3691baf · outbound
This paper cites The complexity of approximate (coarse) correlated equilibrium for incomplete information games.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning The complexity of approximate (coarse) correlated equilibrium for incomplete information games
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.796293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fa5fe846-6aab-4c44-9f63-e93a9c76b7ce · outbound
This paper cites Coarse correlation in extensive- form games.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Coarse correlation in extensive- form games
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.718662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 95ae39fb-bf7d-4462-980e-3b830e5e1525 · outbound
This paper cites Cambridge University Press, 2006.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Cambridge University Press, 2006
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.671647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff2195f1-d24d-4549-bbb9-9d81a997c093 · outbound
This paper cites Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.630806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2743a2ac-1fd2-4aec-9347-3624f55bf5f2 · outbound
This paper cites Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.745863Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0527151a-094a-4d79-891c-7b34810a5773 · outbound
This paper cites Policy gradient methods for reinforcement learning with function approximation.Advances in neural information processing systems, 12, 1999.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Policy gradient methods for reinforcement learning with function approximation.Advances in neural information processing systems, 12, 1999
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.762187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dece90e3-ea94-45d2-b68d-ac18fc6fa985 · outbound
This paper cites Trust Region Policy Optimization.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Trust Region Policy Optimization
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.794755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc7ccef7-f6e1-4dce-a76b-e1ed706ce376 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.824823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8685981c-d5ec-4895-bc7f-d122561f7578 · outbound
This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.Advances in neural information processing systems, 30, 2017.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Multi-agent actor-critic for mixed cooperative-competitive environments.Advances in neural information processing systems, 30, 2017
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.859418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 708c3d88-6fc1-4112-85fd-80f9dd7296bc · outbound
This paper cites Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER, pages 105–130.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER, pages 105–130
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.519980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8bb01468-c5d0-4725-8992-a4b353f46fcc · outbound
This paper cites CybORG: A Gym for the Development of Autonomous Cyber Agents.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning CybORG: A Gym for the Development of Autonomous Cyber Agents
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.889248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e132313-3a13-4f00-8e49-ecfac322a7d9 · outbound
This paper cites On Autonomous Agents in a Cyber Defence Environment.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning On Autonomous Agents in a Cyber Defence Environment
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.907642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c6cfd61-7065-4898-8a75-cbb9ecb15e04 · outbound
This paper cites A Bradford Book, 2018.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning A Bradford Book, 2018
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.468476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2d58370f-bfcb-4b07-b021-a76659ab6e08 · outbound
This paper cites Using confidence bounds for exploitation-exploration trade-offs.Journal of Machine Learning Research, 3(Nov):397–422, 2002.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Using confidence bounds for exploitation-exploration trade-offs.Journal of Machine Learning Research, 3(Nov):397–422, 2002
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:59:48.963482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14cb441b-4c9d-414a-a3b9-3180250947f3 · outbound
This paper cites Flaxman, Adam Tauman Kalai, and H.
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning Flaxman, Adam Tauman Kalai, and H
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:59:49.410289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.