Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:36.790121Z
Paper Citation Record · LEDGER
RLBenchNet: The Right Network for the Right Reinforcement Learning Task
As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2505.15040.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:05:07.831643Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T05:05:07.890229Z
Reference resolution
30 of 30 outbound references displayed
- verified exact0
- verified fuzzy16
- unresolved13
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c6106fea-1de2-43bd-88c1-f064a50f103d · outbound
This paper cites What matters in on-policy reinforcement learning? a large-scale empirical study, 2020.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task What matters in on-policy reinforcement learning? a large-scale empirical study, 2020
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:41.938153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f99f2355-1bc8-4c2c-af04-2fad1097b93c · outbound
This paper cites an unresolved cited work.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:33.282105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 959058a0-368f-4807-9fe7-87f25a6ef6e0 · outbound
This paper cites an unresolved cited work.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:28:41.670666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0af9d966-68b8-4da4-9841-1f4664e5c7dc · outbound
This paper cites Kovalev, and Aleksandr I.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Kovalev, and Aleksandr I
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:41.438864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f4302e45-ad40-4aaa-bf2f-d0656927aaa6 · outbound
This paper cites Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks, 2023.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks, 2023
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:41.211628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 79cc64d2-2fff-4366-90b6-451c7b92622b · outbound
This paper cites Empirical evaluation of gated recurrent neural networks on sequence modeling, 2014.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Empirical evaluation of gated recurrent neural networks on sequence modeling, 2014
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:33.788457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cad80d92-8636-4b54-a4c6-8c27093eac20 · outbound
This paper cites Le, and Ruslan Salakhutdinov.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Le, and Ruslan Salakhutdinov
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:33.909597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25f3b796-ca9d-475f-b969-3f42124e8064 · outbound
This paper cites Transformers are ssms: Generalized models and efficient algorithms through structured state space duality, 2024.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Transformers are ssms: Generalized models and efficient algorithms through structured state space duality, 2024
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:40.997531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ac5bf077-82ac-44d3-b52d-d5b77df93f78 · outbound
This paper cites Addressing function approximation error in actor-critic methods.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Addressing function approximation error in actor-critic methods
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:40.719291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3cb30f82-13a3-476f-8bef-461584aee8f8 · outbound
This paper cites Mamba: Linear-time sequence modeling with selective state spaces, 2024.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Mamba: Linear-time sequence modeling with selective state spaces, 2024
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:34.339686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79fc7973-4af8-420d-9a92-4a68c75c8cb0 · outbound
This paper cites Safe multi-agent reinforcement learning for multi-robot control.Artificial Intelligence, 319:103905, 2023.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Safe multi-agent reinforcement learning for multi-robot control.Artificial Intelligence, 319:103905, 2023
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:34.462727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83232638-4bd6-41a4-84fc-00c1b75aece6 · outbound
This paper cites Safe and balanced: A framework for constrained multi-objective reinforcement learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Safe and balanced: A framework for constrained multi-objective reinforcement learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:40.474550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e4aa36a4-8f82-44c3-9459-8e32a412ba21 · outbound
This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor, 2018.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor, 2018
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:34.737787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bba726a9-a79f-4f66-936a-e9f0be26ca87 · outbound
This paper cites Long short-term memory.Neural computation, 9(8):1735–1780, 1997.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Long short-term memory.Neural computation, 9(8):1735–1780, 1997
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:34.828624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3e2b146-19c2-4334-954b-2e5eb1e22cff · outbound
This paper cites The 37 implementation details of proximal policy optimization.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task The 37 implementation details of proximal policy optimization
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:34.979587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 996a4878-2a4d-4e5f-a1c8-5791e6ba4936 · outbound
This paper cites an unresolved cited work.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:28:39.966752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c0013807-108f-4a30-ba82-095d37b8792d · outbound
This paper cites Decision mamba: Reinforcement learning via hybrid selective sequence modeling, 2024.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Decision mamba: Reinforcement learning via hybrid selective sequence modeling, 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:39.702547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3ba1c3c0-f64a-49f6-a824-1acc9db8bb54 · outbound
This paper cites Du, and Huazhe Xu.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Du, and Huazhe Xu
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:39.471916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bbd87fdd-e57a-44b2-bedc-0657196f08e6 · outbound
This paper cites Efficient recurrent off-policy RL requires a context-encoder-specific learning rate.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Efficient recurrent off-policy RL requires a context-encoder-specific learning rate
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:39.170120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2a1c6f3f-f8ee-4dd5-b4c4-48f014ae176c · outbound
This paper cites Decision mamba: A multi-grained state space model with self-evolution regularization for offline rl, 2025.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Decision mamba: A multi-grained state space model with self-evolution regularization for offline rl, 2025
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:38.809913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d29e2f8f-3b87-4eb5-a936-b175e1663822 · outbound
This paper cites Popgym: Benchmarking partially observable reinforcement learning, 2023.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Popgym: Benchmarking partially observable reinforcement learning, 2023
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:38.519287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b2b295c3-ef45-4214-90ae-3fa2b1792084 · outbound
This paper cites When do transformers shine in rl? decoupling memory from credit assignment, 2023.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task When do transformers shine in rl? decoupling memory from credit assignment, 2023
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:38.227986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0b568af3-cf56-4d9a-8073-3086ca7d744a · outbound
This paper cites Decision mamba: Reinforcement learning via sequence modeling with selective state spaces, 2024.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Decision mamba: Reinforcement learning via sequence modeling with selective state spaces, 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:37.933547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a6e0cc61-88c0-4881-b376-71a9166ddc2d · outbound
This paper cites Francis Song, Jack W.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Francis Song, Jack W
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:37.694539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 896e1418-ee3c-4b2f-98cd-e6c2d2b0e9d9 · outbound
This paper cites Transformerxl as episodic memory in proximal policy optimization.Github Repository, 2023.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Transformerxl as episodic memory in proximal policy optimization.Github Repository, 2023
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:37.480182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 806735a1-f767-4017-89ef-f929645697fd · outbound
This paper cites Memory gym: Towards endless tasks to benchmark memory capabilities of agents, 2024.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Memory gym: Towards endless tasks to benchmark memory capabilities of agents, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:28:37.293317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 094d1ed2-1d67-4e4e-b3d8-ac6d31fa2498 · outbound
This paper cites Proximal policy optimization algorithms, 2017.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Proximal policy optimization algorithms, 2017
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:36.638559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca03cca5-66c7-480e-b7cb-686f2195a7ca · outbound
This paper cites Mas- tering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Mas- tering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:36.723806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed1e8e2f-396c-41eb-adba-8127e43dcef3 · outbound
This paper cites Mujoco: A physics engine for model-based control.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Mujoco: A physics engine for model-based control
Reference 29
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T15:28:37.050856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b7625643-bee5-4928-9685-38c8dfbd0af1 · outbound
This paper cites an unresolved cited work.
RLBenchNet: The Right Network for the Right Reinforcement Learning Task Unresolved cited work
Reference 2022
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:28:40.268447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation d9610706-0245-42e6-82d7-53dc9175e2f6 · inbound
Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning cites this paper.
Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning RLBenchNet: The Right Network for the Right Reinforcement Learning Task
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T05:05:07.908039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.