Paper Citation Record · LEDGER

Normalization and effective learning rates in reinforcement learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2407.01800.

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

pith.paper-citation-record.v1
2407.01800 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:16:29.010952Z

measured 1 of 1 external citation measurements

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

1
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 b16c1a88-f099-4fb8-a5b1-d01825d49af2 · inbound

Plasticity Loss in Deep Reinforcement Learning: A Survey cites this paper.

Plasticity Loss in Deep Reinforcement Learning: A Survey Normalization and effective learning rates in reinforcement learning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:03:18.206344Z

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 2c8b0a50-84f4-4296-b9df-2e0846699123 · inbound

Torque-Aware Momentum cites this paper.

Torque-Aware Momentum Normalization and effective learning rates in reinforcement learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T04:32:51.611027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16063b16-489c-4e1e-b0d4-d15d469e0a88 · inbound

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning cites this paper.

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning Normalization and effective learning rates in reinforcement learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T19:16:29.010952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3c387a-767c-41c3-92e1-f5df125c9050 · inbound

Recovering Plasticity of Neural Networks via Soft Weight Rescaling cites this paper.

Recovering Plasticity of Neural Networks via Soft Weight Rescaling Normalization and effective learning rates in reinforcement learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:23.365768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630a4362-d18f-413f-b6a6-adf0362d1db5 · inbound

Optimizers Qualitatively Alter Solutions And We Should Leverage This cites this paper.

Optimizers Qualitatively Alter Solutions And We Should Leverage This Normalization and effective learning rates in reinforcement learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:21.673962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cfc317f-fa84-4864-946b-742968a055fd · inbound

Reinitializing weights vs units for maintaining plasticity in neural networks cites this paper.

Reinitializing weights vs units for maintaining plasticity in neural networks Normalization and effective learning rates in reinforcement learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T10:21:45.188704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 296b198c-6a76-4466-a25c-824730fbc677 · inbound

Is Exploration or Optimization the Problem for Deep Reinforcement Learning? cites this paper.

Is Exploration or Optimization the Problem for Deep Reinforcement Learning? Normalization and effective learning rates in reinforcement learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T05:44:15.112426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7158ce83-4d17-4c9d-b9a0-251089ee4e68 · inbound

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis cites this paper.

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:53:05.024310Z

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 d0420af1-da28-4946-bc9d-e882729f7ea8 · 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 Normalization and effective learning rates in reinforcement learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:29:06.410893Z

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 004c9868-2826-4094-8edf-43234ea14c79 · inbound

Extending Differential Temporal Difference Methods for Episodic Problems cites this paper.

Extending Differential Temporal Difference Methods for Episodic Problems Normalization and effective learning rates in reinforcement learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:38.886721Z

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 2ee1e8fa-4456-4f22-a346-809c2d6cfcd4 · inbound

Relative Value Learning cites this paper.

Relative Value Learning Normalization and effective learning rates in reinforcement learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T08:32:00.072591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ad2ef8-2077-4a47-a307-2173c1896ac3 · inbound

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Normalization and effective learning rates in reinforcement learning

Reference 239

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:46.585186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.