Paper Citation Record · LEDGER

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning

As of 4 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2604.06463.

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

pith.paper-citation-record.v1
2604.06463 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:26:24.351727Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:16:02.348797Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact2
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f22c88bd-72c4-48bc-9242-b2a48eb47fc0 · outbound

This paper cites A review of safe reinforcement learning: Methods, theories, and applica- tions.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning A review of safe reinforcement learning: Methods, theories, and applica- tions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.117564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 97a6b6d5-a7bb-45ae-b5b8-76dce9b05406 · outbound

This paper cites Discrete control barrier functions for safety-critical control of discrete systems with application to bipedal robot navigation.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Discrete control barrier functions for safety-critical control of discrete systems with application to bipedal robot navigation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.109289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ba86b42-7b4f-4d26-a36f-89b86e164b7f · outbound

This paper cites Safety-critical model predictive control with discrete-time control barrier function.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Safety-critical model predictive control with discrete-time control barrier function

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.114658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2db76fc8-b0f0-4e4f-b396-7276bac35d33 · outbound

This paper cites Safe multi-robotic arm interaction via 3D convex shapes.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Safe multi-robotic arm interaction via 3D convex shapes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.111982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d75e6747-9529-4fa6-b823-4dcd7078115a · outbound

This paper cites Deep reinforce- ment learning in a handful of trials using probabilistic dynamics models.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Deep reinforce- ment learning in a handful of trials using probabilistic dynamics models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.123756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2af77393-36bd-4e54-ae1e-c31f449e70b3 · outbound

This paper cites Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:35:50.758013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c620743d-b7df-47d9-b062-ad7365f39845 · outbound

This paper cites Deep dynamics models for learning dexterous manipulation.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Deep dynamics models for learning dexterous manipulation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.101603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ace9b45-9101-4a73-9138-d9a24745f4f6 · outbound

This paper cites Deep reinforcement learning: A brief survey.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Deep reinforcement learning: A brief survey

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.103890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78267812-319d-4225-919b-cf4692c44149 · outbound

This paper cites Safe reinforcement learning using robust control barrier functions.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Safe reinforcement learning using robust control barrier functions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.134408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54655a19-e334-4905-b13d-a4e409568451 · outbound

This paper cites Probabilistically safe and efficient model-based reinforcement learning.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Probabilistically safe and efficient model-based reinforcement learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.087246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 016f4ec1-2f4a-4193-ab6d-da1528a2d330 · outbound

This paper cites Reinforcement learning-based receding horizon control using adaptive control barrier functions for safety-critical systems.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Reinforcement learning-based receding horizon control using adaptive control barrier functions for safety-critical systems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.090581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f15f7e5-3eef-48b9-8be8-b4d05c21bfba · outbound

This paper cites Enforcing hard constraints with soft barriers: Safe reinforcement learning in unknown stochastic environments.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Enforcing hard constraints with soft barriers: Safe reinforcement learning in unknown stochastic environments

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.093264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 564ab762-85e6-41e3-9cdb-6664e14207fd · outbound

This paper cites Learning barrier certificates: Towards safe reinforce- ment learning with zero training-time violations.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Learning barrier certificates: Towards safe reinforce- ment learning with zero training-time violations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.098600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2413ea3a-3675-4d05-ab01-a2e5b086ac8b · outbound

This paper cites Model-free safe reinforcement learning through neural barrier certificate.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Model-free safe reinforcement learning through neural barrier certificate

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.106679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 88e26949-9c2b-42e4-9744-f66080a460bb · outbound

This paper cites Re- inforcement learning for safe robot control using control lyapunov barrier functions.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Re- inforcement learning for safe robot control using control lyapunov barrier functions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.120686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d105c82b-bc23-4d89-ba80-ab1878c08cc9 · outbound

This paper cites Learning a better control barrier function.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Learning a better control barrier function

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.137174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5d5124e-7439-42b2-be8e-95864ffc24a3 · outbound

This paper cites Learning control barrier functions from expert demonstrations.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Learning control barrier functions from expert demonstrations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.095897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9d803ed-1a8b-4147-a184-bd31b128d072 · outbound

This paper cites Data-efficient control barrier function refinement.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Data-efficient control barrier function refinement

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.077219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c1062c6-e81d-46f0-919e-7c212f17d077 · outbound

This paper cites Safe reinforcement learning for lidar- based navigation via control barrier function.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Safe reinforcement learning for lidar- based navigation via control barrier function

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.074927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d55e90fd-9df9-4b5f-ae3b-129637c97e4c · outbound

This paper cites Path integral methods with stochastic control barrier functions.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Path integral methods with stochastic control barrier functions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.079608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e34e0990-d998-466d-b9fb-a1c4873d7aab · outbound

This paper cites Guaranteed-safe MPPI through composite control barrier functions for efficient sampling in multi-constrained robotic systems.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Guaranteed-safe MPPI through composite control barrier functions for efficient sampling in multi-constrained robotic systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.082286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d99d000d-92a5-4611-8513-0b257112667b · outbound

This paper cites Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.072421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 724e1f29-777a-4659-a1c6-afe0ebe2da55 · outbound

This paper cites Direct parameterization of Lipschitz- bounded deep networks.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Direct parameterization of Lipschitz- bounded deep networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.084683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c35feb3f-83fd-438c-a20c-7eeff60e6e38 · outbound

This paper cites MBRL-Lib: A Modular Library for Model-based Reinforcement Learning.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:35:50.766400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55e3e11d-3501-40a9-8716-95239ec5dce5 · outbound

This paper cites Constrained policy optimization.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Constrained policy optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.131596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7ad1b6ea-a918-44b8-8026-07d5571bb455 · outbound

This paper cites Benchmarking safe exploration in deep reinforcement learning.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Benchmarking safe exploration in deep reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.129306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31908966-23df-4686-8434-398d96744ef5 · outbound

This paper cites Constrained update projection approach to safe policy optimization.

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning Constrained update projection approach to safe policy optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T03:43:59.126625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation b90705c3-4260-4570-8d66-8578008d5b04 · inbound

Deep Reinforcement Learning: From First Principles to Reasoning Models cites this paper.

Deep Reinforcement Learning: From First Principles to Reasoning Models A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:02.348797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.