Paper Citation Record · LEDGER

Central Path Proximal Policy Optimization

As of 16 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 3 inbound Pith citation observations for arXiv:2506.00700.

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

pith.paper-citation-record.v1
2506.00700 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:07:09.566879Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:23:46.697427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:35:19.078046Z

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 074502be-9dda-46de-81e9-5d3b8d32d5fd · outbound

This paper cites A safe exploration approach to constrained Markov decision processes.

Central Path Proximal Policy Optimization A safe exploration approach to constrained Markov decision processes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:10.495244Z

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 78af1034-67c6-4a9f-8fd3-24376f09bebb · outbound

This paper cites Direct Behavior Specification via Constrained Reinforcement Learning.

Central Path Proximal Policy Optimization Direct Behavior Specification via Constrained Reinforcement Learning

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:07:10.187120Z

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 4faecdac-4fa9-411c-a493-11ed459e1bb1 · outbound

This paper cites Responsive Safety in Reinforcement Learning by PID Lagrangian Methods.

Central Path Proximal Policy Optimization Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:07:09.904564Z

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 d55bf51f-2cc4-4f0f-8774-b0fda9159b60 · outbound

This paper cites Constrained Reinforcement Learning with Smoothed Log Barrier Function.

Central Path Proximal Policy Optimization Constrained Reinforcement Learning with Smoothed Log Barrier Function

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:09.385071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3628220-eedf-49dc-a3a3-71f7824ecd61 · outbound

This paper cites Yiming Zhang, Quan Vuong, and Keith Ross.

Central Path Proximal Policy Optimization Yiming Zhang, Quan Vuong, and Keith Ross

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T12:07:09.751998Z

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 5d638274-83d0-44c6-8aef-e4d9f5cc284b · outbound

This paper cites surrogate advantage trick.

Central Path Proximal Policy Optimization surrogate advantage trick

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:10.352342Z

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 da807287-27f3-458c-99d7-ddad26648efb · outbound

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

Central Path Proximal Policy Optimization High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:09.141595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d34400-fb63-46a9-b893-1e669deacd40 · outbound

This paper cites Dimitri P Bertsekas.

Central Path Proximal Policy Optimization Dimitri P Bertsekas

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:07:10.664488Z

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 3f78ce86-e4d7-4720-8ad6-c368ea7bfc38 · outbound

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

Central Path Proximal Policy Optimization Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:08.633497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5a27ad-336f-436e-9782-1670098eb2d9 · outbound

This paper cites Jincheng Mei, Chenjun Xiao, Bo Dai, Lihong Li, Csaba Szepesvári, and Dale Schuurmans.

Central Path Proximal Policy Optimization Jincheng Mei, Chenjun Xiao, Bo Dai, Lihong Li, Csaba Szepesvári, and Dale Schuurmans

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:08.702350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba153c4-cc06-4dc8-bf5c-d9d8f999b133 · outbound

This paper cites Benchmarking Batch Deep Reinforcement Learning Algorithms.

Central Path Proximal Policy Optimization Benchmarking Batch Deep Reinforcement Learning Algorithms

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:08.990567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b21ca17-83c7-407c-bef8-f3c3fc4823e1 · outbound

This paper cites A unified view of entropy-regularized Markov decision processes.

Central Path Proximal Policy Optimization A unified view of entropy-regularized Markov decision processes

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:08.844809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb6c714-6dfd-4a21-b04b-ee6f1af7c67d · outbound

This paper cites On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization.

Central Path Proximal Policy Optimization On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:07:10.017454Z

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 fc27e03e-c0c5-4d02-a012-6a3d05bf8902 · outbound

This paper cites Embedding Safety into RL: A New Take on Trust Region Methods.

Central Path Proximal Policy Optimization Embedding Safety into RL: A New Take on Trust Region Methods

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:08.760132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 22fa1a46-a0d1-460c-b1d8-0af62d3c0ded · inbound

Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks cites this paper.

Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks Central Path Proximal Policy Optimization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T18:23:46.697427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1ef6a6-4859-4cd6-84de-2a19d6439ba4 · inbound

The Geometry of Nonlinear Reinforcement Learning cites this paper.

The Geometry of Nonlinear Reinforcement Learning Central Path Proximal Policy Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:37:41.630698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d095a95e-6a3c-48b7-817c-c5acf95f3998 · inbound

Bounded Ratio Reinforcement Learning cites this paper.

Bounded Ratio Reinforcement Learning Central Path Proximal Policy Optimization

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:19.079386Z

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.