Pith. sign in

Paper Citation Record · LEDGER

Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2004.07584.

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

pith.paper-citation-record.v1
2004.07584 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:05:09.494808Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T21:49:05.130611Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2877749d-f7df-44f7-83e2-0f8770367141 · inbound

End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy cites this paper.

End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T22:05:09.494808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:05:09.494808Z digest=sha256:599e65d8800cdc10a8c88b5374c4af0e340fa717d3f5db63140fad321de21ec8

Observation 127b2b4c-1291-4157-9210-09f7e99d99f2 · 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 Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 118

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T22:41:53.868627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T22:37:32.388931Z digest=sha256:6643341bb41487fadc1b61369a5abdba50641fa42a2489404d269739033ae52c

Observation 9af169ec-02f8-49d2-adc3-2c855a88b33c · inbound

Robust Time-Varying Control Barrier Functions with Sector-Bounded Nonlinearities cites this paper.

Robust Time-Varying Control Barrier Functions with Sector-Bounded Nonlinearities Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T21:55:20.246679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T21:52:48.538684Z digest=sha256:6d36d6be85d40543b0e1432ea85accabf82cc033cb0e15f6449de44add9b1ed6

Observation 8674d934-a8ac-47bb-b313-1073bd798cf5 · inbound

Online Learning-Enhanced High Order Adaptive Safety Control cites this paper.

Online Learning-Enhanced High Order Adaptive Safety Control Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T05:41:33.749993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T05:40:26.418489Z digest=sha256:a8b5d27876db8fba06d05a9030adf35d2109ad1acae2f7a913bb659401109f1e

Observation dca8d27a-e78b-4493-b30d-a0ede3f3aa32 · inbound

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning cites this paper.

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:49:05.132379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T21:48:43.143169Z digest=sha256:5c101b6a9177a200df5cd6e6da3eda8431b51ea34bb874987014440035632282

Observation 1e0d701a-6020-440d-8d6a-a4482eb9f5ce · inbound

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints cites this paper.

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:39:03.481990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T21:36:33.206033Z digest=sha256:cfe53326b040c795d3e9890b94df846045ffc4c8d6f96960b4c020448fc46928

Observation e8bac241-d4ae-41bd-8515-69a218565e44 · inbound

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers cites this paper.

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T09:44:51.066650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:44:51.066650Z digest=sha256:258d46230c2b77f529544c3743b4cf828578c6fcb440d860d0b2773c2482cd3c

Observation 38bdd9dd-2513-48fb-ae80-0f34c693c2c0 · inbound

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning cites this paper.

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T12:15:37.767135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:15:37.767135Z digest=sha256:bd81a084c19e43a18f73ad627c3b5cdacc276ebab41b223646a7b45f351cb5ca