Paper Citation Record · LEDGER

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints

As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2412.04327.

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

pith.paper-citation-record.v1
2412.04327 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:39:12.005657Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact2
verified fuzzy2
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97fd7f80-2c1c-4987-8a9b-6814ec00a16a · outbound

This paper cites Safe Exploration in Continuous Action Spaces.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Safe Exploration in Continuous Action Spaces

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.928666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05999720-a7d4-4a56-9c5c-e66a0a6ebcc1 · outbound

This paper cites Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.955651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f35f8a-f1fd-4bb7-b509-1ae6ea2e49c5 · outbound

This paper cites Benchmarking Batch Deep Reinforcement Learning Algorithms.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Benchmarking Batch Deep Reinforcement Learning Algorithms

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.960949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1a3f2b-7fd3-4ba6-ac6a-352b744262ee · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.966125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8bcd68a-5b75-45fe-9f23-fe56df76a5a0 · outbound

This paper cites Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:39:12.111309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 083d31d0-75dc-4126-bd6a-00f468607559 · outbound

This paper cites RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:39:12.086025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2187593e-e1e6-4cd9-b695-80d81a08ed3d · outbound

This paper cites Penalized Proximal Policy Optimization for Safe Reinforcement Learning.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Penalized Proximal Policy Optimization for Safe Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.994473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d53b5711-1645-427e-84c0-ffa6c9bbe208 · outbound

This paper cites an unresolved cited work.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Unresolved cited work

Reference 17

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T21:39:12.294747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9ec14cd6-f8f0-4220-b0b0-ed3bc72dc424 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Proximal Policy Optimization Algorithms

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.972205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ee1234-8034-48d5-894a-9d9845beab7a · outbound

This paper cites Learning to be Safe: Deep RL with a Safety Critic.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Learning to be Safe: Deep RL with a Safety Critic

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.977292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c50f1d80-fa3f-41ac-af74-e2ad62556fc9 · outbound

This paper cites A Closer Look at Invalid Action Masking in Policy Gradient Algorithms.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.945279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8feeebb4-3998-42f7-9843-17fff94009c1 · outbound

This paper cites Lyapunov-based Safe Policy Optimization for Continuous Control.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.923300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0592a37-9612-4e8e-9015-700333029c65 · outbound

This paper cites Safe reinforcement learning for autonomous lane changing using set-based prediction.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Safe reinforcement learning for autonomous lane changing using set-based prediction

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:39:12.311768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd1b9821-a7db-4cbd-9802-90cf01a2c2b9 · outbound

This paper cites Conservative Safety Critics for Exploration.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Conservative Safety Critics for Exploration

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.917036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a9e4239-f93f-40a9-9e5a-a294b0382eac · outbound

This paper cites A Review of Safe Reinforcement Learning: Methods, Theory and Applications.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.939149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 350272cd-c349-4cbb-a677-6fefca8699a8 · outbound

This paper cites State-wise Safe Reinforcement Learning: A Survey.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints State-wise Safe Reinforcement Learning: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.999964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ead9282f-7d07-40b5-a522-5db4c326d1ea · outbound

This paper cites Niklas Funk, Georgia Chalvatzaki, Boris Belousov, and Jan Peters.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Niklas Funk, Georgia Chalvatzaki, Boris Belousov, and Jan Peters

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:39:12.327333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.