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Paper Citation Record · LEDGER

Lyapunov-based Safe Policy Optimization for Continuous Control

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1901.10031.

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

pith.paper-citation-record.v1
1901.10031 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:40:59.021393Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

154
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a16f7b29-a72d-450b-a91b-de3112ba4a65 · inbound

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning cites this paper.

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-25T14:50:57.055677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T14:49:23.906632Z digest=sha256:b6ff148e4ab5dd8db0da1778bb2030baee19f4fc9bd7213ef6001e548c14d7e0

Observation 99267886-85f9-4eb3-91d7-30547cb8816b · inbound

Iteratively Learning Muscle Memory for Legged Robots to Master Adaptive and High Precision Locomotion cites this paper.

Iteratively Learning Muscle Memory for Legged Robots to Master Adaptive and High Precision Locomotion Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T04:52:03.688572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-19T04:51:03.733792Z digest=sha256:7999dfc3a3e5e48cb515e2fa9afd619a0673a3cb5b676ee131e5daab183b0d89

Observation 9f7ce790-28e6-4864-b414-2e0c81ae70bd · inbound

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions cites this paper.

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:41:53.899722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T22:37:32.388931Z digest=sha256:c2c4d8d8d6c16dc44a9cf08efa1d4c5ec18ad8e5735573212b00e9334a446782

Observation cfd8b85d-b6b5-4a3c-9fb0-7aba2ad27c56 · inbound

A Fast Initialization Method for Neural Network Controllers: A Case Study of Image-based Visual Servoing Control for the multicopter Interception cites this paper.

A Fast Initialization Method for Neural Network Controllers: A Case Study of Image-based Visual Servoing Control for the multicopter Interception Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T15:40:59.021393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:40:59.021393Z digest=sha256:b15cbdc9f139e62ec08c49f073a8ed400ccaba7a960d4abe7e7849db71e2c9d1

Observation 50ace258-d0f0-49c9-b954-fa3e96053c7e · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T16:52:51.075930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:52:51.075930Z digest=sha256:00545907f494e850cacc3af79024f1c19aa640011a50cd02a0e4c29fb7d33dd6

Observation 52a62fb0-96a4-4e45-8172-d3e834812928 · inbound

Vision-based Goal-Reaching Control for Mobile Robots Using a Hierarchical Learning Framework cites this paper.

Vision-based Goal-Reaching Control for Mobile Robots Using a Hierarchical Learning Framework Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T13:08:03.457721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:08:03.457721Z digest=sha256:691edda3c73759d9e2b1136b32572f35c396e1f9d63779ca56b75f2337cc7396

Observation 539b058b-2b41-4158-8b7b-ce9717f5e1a9 · inbound

Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control cites this paper.

Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-16T15:38:03.149894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T15:38:00.110683Z digest=sha256:558ce10cca5d94dad625293756b5e2602e4a44fcb9380db161037f90f6d5613e

Observation 5ca2cbc8-6068-482c-80d0-f44fd4728602 · inbound

RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment cites this paper.

RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T05:44:27.437584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:44:27.437584Z digest=sha256:cc1a922c022e1fc625156c4e99fa80efa4817d1a2d7cbaabf4b8242c39a7d3bd

Observation 23b31124-44e5-48fb-9945-567f8bea2685 · inbound

LC-SAC: Lyapunov-Constrained Soft Actor-Critic via Koopman Operator Theory for Trajectory Tracking and Stabilization cites this paper.

LC-SAC: Lyapunov-Constrained Soft Actor-Critic via Koopman Operator Theory for Trajectory Tracking and Stabilization Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T04:47:40.450341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:47:40.450341Z digest=sha256:4e0964fbff746013cde877f180f83cf6001c17532a1bbae653349d3fc5e14a66

Observation c50c2ad4-2c2e-4bb0-ac7e-2fd5c7c43674 · inbound

Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production cites this paper.

Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:50:30.197560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T14:49:27.919651Z digest=sha256:a736a42f77c63f0cd6ab319f36300928459eedf290aeeed00386e63bb28ffc52

Observation e8248ba2-e51f-4aa5-bb94-2f94610e09fc · inbound

Safe-Support Q-Learning: Learning without Unsafe Exploration cites this paper.

Safe-Support Q-Learning: Learning without Unsafe Exploration Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:36:38.578692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:36:35.746034Z digest=sha256:391bd8b94be3ecad30bc9d84a75ed339fa3cb296a76e15a5ef2191ad3327b923

Observation 3da81817-04be-4d89-afdc-8f630c1217a5 · inbound

Robust Shielding for Safe Reinforcement Learning cites this paper.

Robust Shielding for Safe Reinforcement Learning Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-06-28T22:22:43.387873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:21:18.863056Z digest=sha256:4aa5af29146139bcc5885820c4c9ff920f006e241ca93b5760211d9b03abea68

Observation 8810ddbd-847d-4308-9f6e-24dffb3bbabb · inbound

Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control cites this paper.

Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T11:39:46.373239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T07:54:12.950136Z digest=sha256:29890938fe5642fa49f41d18025933fc311bcc697950211dcc759ddd2744c066

Observation 81de9363-5b66-45ec-aca4-c42b5e41ec09 · inbound

Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows cites this paper.

Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T02:40:18.426446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:40:18.426446Z digest=sha256:90f91fcdd21246b7fa145690cf4ad58270480a003275d2e9f32c85e591f81822