Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hyperparameters in Reinforcement Learning and How To Tune Them
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.01324.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:25:40.195106Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9571e04c-e28c-4dc2-86d0-9365690696f3 · inbound
Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents cites this paper.
Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents Hyperparameters in Reinforcement Learning and How To Tune Them
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:47:01.182890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d74821c3-ff31-4bdb-873b-19a7f15f872d · inbound
Feedback-Normalized Developer Memory for Reinforcement-Learning Coding Agents: A Safety-Gated MCP Architecture cites this paper.
Feedback-Normalized Developer Memory for Reinforcement-Learning Coding Agents: A Safety-Gated MCP Architecture Hyperparameters in Reinforcement Learning and How To Tune Them
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:29:06.439763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f5a1c403-034f-47ef-89a4-5aa7f890b3c5 · inbound
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? cites this paper.
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? Hyperparameters in Reinforcement Learning and How To Tune Them
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:42:49.610928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ff69edeb-6b3b-498b-b5f9-d0b0776aedc9 · inbound
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? cites this paper.
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? Hyperparameters in Reinforcement Learning and How To Tune Them
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T05:43:07.736441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 86b3df17-2f1e-41fe-ba3b-e6450198a83e · inbound
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Hyperparameters in Reinforcement Learning and How To Tune Them
Reference 196
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:25:40.195106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.