Paper Citation Record · LEDGER

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.27861.

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

pith.paper-citation-record.v1
2606.27861 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:49:22.328169Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

37 of 37 outbound references displayed

verified exact5
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c96278a5-237c-409b-a7a7-0857c926ccfe · outbound

This paper cites an unresolved cited work.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 100e703d-211f-4de3-ac5b-de68a88f4f42 · outbound

This paper cites Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

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Unavailable: canonical work link unavailable.

Observation 534c3e2b-9eae-46ad-a973-907d07c01559 · outbound

This paper cites On policy learning robust to irreversible events: An application to robotic in-hand manipu- lation,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control On policy learning robust to irreversible events: An application to robotic in-hand manipu- lation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

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Unavailable: canonical work link unavailable.

Observation 54b84989-4d73-4a15-b2c6-9510c86abf90 · outbound

This paper cites Robot deformable object manipulation via nmpc-generated demonstrations in deep reinforcement learning,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Robot deformable object manipulation via nmpc-generated demonstrations in deep reinforcement learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

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Unavailable: canonical work link unavailable.

Observation b12bb180-98c1-47f8-a8c7-3698e6516b57 · outbound

This paper cites Real-world humanoid locomotion with reinforcement learning,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Real-world humanoid locomotion with reinforcement learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d0a74a-0d33-4f9d-aafa-88ec54fb6ddf · outbound

This paper cites Anymal parkour: Learning agile navigation for quadrupedal robots,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Anymal parkour: Learning agile navigation for quadrupedal robots,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f5dc912-deb2-4dc2-857d-7ab6132d7f76 · outbound

This paper cites Curriculum-based reinforcement learning for quadrupedal jumping: A reference-free design,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Curriculum-based reinforcement learning for quadrupedal jumping: A reference-free design,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f08ae0-9618-4fb0-9490-2f67e90c75d2 · outbound

This paper cites Ex- plosive jumping with rigid and articulated soft quadrupeds via example guided reinforcement learning,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Ex- plosive jumping with rigid and articulated soft quadrupeds via example guided reinforcement learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78874c25-7241-41d4-8fd2-2271e19a34e0 · outbound

This paper cites Curriculum-enhanced rein- forcement learning for robust humanoid locomotion,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Curriculum-enhanced rein- forcement learning for robust humanoid locomotion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ca1694-7db5-4e7f-b1d2-c16e6631f922 · outbound

This paper cites Physics-informed multi-agent reinforcement learning for distributed multi-robot problems,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Physics-informed multi-agent reinforcement learning for distributed multi-robot problems,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba9f2b63-9204-4619-9975-69be0d6dae75 · outbound

This paper cites Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e0032d-3357-456a-be1a-47387ac7d89a · outbound

This paper cites Altman,Constrained Markov decision processes.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Altman,Constrained Markov decision processes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18435243-e299-4cc9-a34c-62567b18a257 · outbound

This paper cites Not only rewards but also constraints: Applications on legged robot locomotion,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Not only rewards but also constraints: Applications on legged robot locomotion,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647bc504-8ec5-4dc0-98a6-b94e2c5d39f6 · outbound

This paper cites Constrained policy optimization,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Constrained policy optimization,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72aa2f1c-96ae-495b-a307-7c421392e84d · outbound

This paper cites Projection-Based Constrained Policy Optimization.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Projection-Based Constrained Policy Optimization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:53.387161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ee01f2c-7765-48d8-9460-9b2f934d0a60 · outbound

This paper cites Benchmarking Batch Deep Reinforcement Learning Algorithms.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Benchmarking Batch Deep Reinforcement Learning Algorithms

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:13:53.381758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3eda2d8e-03e2-43a0-9146-96d929a6e159 · outbound

This paper cites Proximal Policy Optimization Algorithms.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Proximal Policy Optimization Algorithms

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:13:53.384174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dc201c7-0ee0-4582-8dfb-00beb06c5c64 · outbound

This paper cites First order constrained optimization in policy space,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control First order constrained optimization in policy space,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9afc1fb1-e993-4bb1-9dae-da24c13f9769 · outbound

This paper cites Reward Constrained Policy Optimization.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Reward Constrained Policy Optimization

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:13:53.386598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d7c10e5-4287-4122-be1c-d89bcd8f66ca · outbound

This paper cites Con- strained reinforcement learning has zero duality gap,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Con- strained reinforcement learning has zero duality gap,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8531a978-d2a2-480f-9d87-23b4ce260e06 · outbound

This paper cites Responsive safety in reinforce- ment learning by pid lagrangian methods,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Responsive safety in reinforce- ment learning by pid lagrangian methods,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

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Observation cea4ff49-4b14-4e9d-ae63-f36597bfc4df · outbound

This paper cites Ipo: Interior-point policy optimization under constraints,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Ipo: Interior-point policy optimization under constraints,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba9e44d-d310-4358-9276-f5592ad50eb0 · outbound

This paper cites Penalty and barrier methods for constrained optimiza- tion,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Penalty and barrier methods for constrained optimiza- tion,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a9e85a-f40c-4a97-bb80-c72c70d6e9f3 · outbound

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

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Penalized Proximal Policy Optimization for Safe Reinforcement Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:53.375308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec5df937-aefc-421f-97db-be5cdf7b3d01 · outbound

This paper cites Exploring constrained reinforcement learning algorithms for quadrupedal locomotion,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Exploring constrained reinforcement learning algorithms for quadrupedal locomotion,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbcf3c6b-3fb9-4239-8b36-66f954416c54 · outbound

This paper cites Augmented proximal policy optimization for safe reinforcement learning,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Augmented proximal policy optimization for safe reinforcement learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d848af-47a3-4c18-a534-b6e5d6ebf2ac · outbound

This paper cites Approximately optimal approximate rein- forcement learning,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Approximately optimal approximate rein- forcement learning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8814dd5f-b433-421f-b76f-05b7d4927a49 · outbound

This paper cites High- dimensional continuous control using generalized advantage estimation,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control High- dimensional continuous control using generalized advantage estimation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

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Observation fb70ed47-0952-400b-b38d-29df6eb7c085 · outbound

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PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2deb89-2b88-4264-a3fc-23b74049b619 · outbound

This paper cites Natural actor–critic algorithms,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Natural actor–critic algorithms,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

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Observation 3a70359e-ac2f-472a-aab5-f576f9658576 · outbound

This paper cites Bhatnagar, H.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Bhatnagar, H

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d6c4fe-8434-4d85-bb97-204e03a6035c · outbound

This paper cites Risk- constrained reinforcement learning with percentile risk criteria,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Risk- constrained reinforcement learning with percentile risk criteria,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e325e2e-63d8-4050-8a2d-ec29af5d70e9 · outbound

This paper cites Augmented lagrangians and applications of the proximal point algorithm in convex programming,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Augmented lagrangians and applications of the proximal point algorithm in convex programming,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4442ed40-6dbd-4d5f-aa4f-189bba531dc0 · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Orbit: A unified simulation framework for interactive robot learning environments,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd33a11-c2f8-4762-8b76-39e0c22d4353 · outbound

This paper cites Isaac Sim.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control Isaac Sim

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33d0ae4-9b6a-4036-a867-60e1149ae472 · outbound

This paper cites RSL-RL: A Learning Library for Robotics Research.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control RSL-RL: A Learning Library for Robotics Research

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:13:53.375760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10264a73-1f7e-4f3d-adda-9af94eeef7a0 · outbound

This paper cites The franka emika robot: A standard platform in robotics research [survey],.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control The franka emika robot: A standard platform in robotics research [survey],

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-29T04:49:22.328169Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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