Paper Citation Record · LEDGER

Learning Ensembles of Vision-based Safety Control Filters

As of 16 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.02029.

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

pith.paper-citation-record.v1
2412.02029 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:59:13.623086Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation bfecc1d4-d1c1-48dd-9466-cfa276327c38 · outbound

This paper cites Safe control using vision-based control barrier function (v-cbf).

Learning Ensembles of Vision-based Safety Control Filters Safe control using vision-based control barrier function (v-cbf)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.450956Z

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Observation bc6b6b73-23b8-410d-9fec-a8ba98ad4a0d · outbound

This paper cites Introduction to Neural Network Verification.

Learning Ensembles of Vision-based Safety Control Filters Introduction to Neural Network Verification

Reference 2

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Observation 57df0ddf-35fb-4e7e-8017-c9b6d6b5749b · outbound

This paper cites Control barrier function based quadratic programs for safety critical systems.

Learning Ensembles of Vision-based Safety Control Filters Control barrier function based quadratic programs for safety critical systems

Reference 3

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Observation f40c44c6-4fe5-40ae-9790-bac71710752b · outbound

This paper cites Ames, Samuel Coogan, Magnus Egerstedt, Gennaro Notomista, Koushil Sreenath, and Paulo Tabuada.

Learning Ensembles of Vision-based Safety Control Filters Ames, Samuel Coogan, Magnus Egerstedt, Gennaro Notomista, Koushil Sreenath, and Paulo Tabuada

Reference 4

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Observation 8b269008-a5ef-41b0-9626-e49696bdd5d0 · outbound

This paper cites Formally verified neural network control barrier certificates for unknown systems.

Learning Ensembles of Vision-based Safety Control Filters Formally verified neural network control barrier certificates for unknown systems

Reference 5

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Observation 3b55a822-681e-4cf6-8857-28796fd30f7f · outbound

This paper cites Averaged-dqn: Variance reduction and stabilization for deep reinforcement learning.

Learning Ensembles of Vision-based Safety Control Filters Averaged-dqn: Variance reduction and stabilization for deep reinforcement learning

Reference 6

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Source-reported events for the cited work

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Observation 5ad3dd90-57ba-4697-ba79-3a96dd4ecb51 · outbound

This paper cites Autonomous driving—a crash explained in detail.

Learning Ensembles of Vision-based Safety Control Filters Autonomous driving—a crash explained in detail

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T23:59:13.649221Z

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Observation a60e136b-4c0e-4272-868d-9b2e329d11ac · outbound

This paper cites Guaranteed safe spacecraft docking with control barrier functions.

Learning Ensembles of Vision-based Safety Control Filters Guaranteed safe spacecraft docking with control barrier functions

Reference 8

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Observation 9fb5da04-c22e-4582-8c1c-b0e5553a13fd · outbound

This paper cites Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling.

Learning Ensembles of Vision-based Safety Control Filters Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:59:14.105982Z

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Observation 32a7736f-75f1-43ad-9eb0-c804d04f846d · outbound

This paper cites In-distribution barrier functions: Self-supervised policy filters that avoid out-of-distribution states.

Learning Ensembles of Vision-based Safety Control Filters In-distribution barrier functions: Self-supervised policy filters that avoid out-of-distribution states

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.435253Z

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Observation 6066804e-f32d-498c-8d7b-08a84e3bfd01 · outbound

This paper cites Randomized Ensembled Double Q-Learning: Learning Fast Without a Model.

Learning Ensembles of Vision-based Safety Control Filters Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Reference 11

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Source-reported events for the cited work

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Observation f254f1b4-66a6-4004-abb4-faadc5a74f22 · outbound

This paper cites Verification and synthesis of control barrier functions.

Learning Ensembles of Vision-based Safety Control Filters Verification and synthesis of control barrier functions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.428530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e45daba-520e-4bb7-8a40-311b062ea02a · outbound

This paper cites Learning safe, generalizable perception-based hybrid control with certificates.

Learning Ensembles of Vision-based Safety Control Filters Learning safe, generalizable perception-based hybrid control with certificates

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.420908Z

Source-reported events for the cited work

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Observation e88da490-3e75-4d18-8f31-852f3428dab5 · outbound

This paper cites Safe nonlinear control using robust neural lyapunov-barrier functions.

Learning Ensembles of Vision-based Safety Control Filters Safe nonlinear control using robust neural lyapunov-barrier functions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.414020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0af4a951-3c70-45be-bc04-c949f6fecc9b · outbound

This paper cites Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control.

Learning Ensembles of Vision-based Safety Control Filters Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control

Reference 15

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Observation e6c6c956-d373-4928-8b23-37b2e3302ca0 · outbound

This paper cites Carla: An open urban driving simulator.

Learning Ensembles of Vision-based Safety Control Filters Carla: An open urban driving simulator

Reference 16

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Observation 1db1dd48-6cc8-4934-9906-8eb3b5df4f17 · outbound

This paper cites Sentinel: taming uncertainty with ensemble based distributional reinforcement learning.

Learning Ensembles of Vision-based Safety Control Filters Sentinel: taming uncertainty with ensemble based distributional reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.403363Z

Source-reported events for the cited work

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Observation 747561e0-7078-41de-be29-47a5d951ec05 · outbound

This paper cites Neural network ensembles in reinforcement learning.

Learning Ensembles of Vision-based Safety Control Filters Neural network ensembles in reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.396362Z

Source-reported events for the cited work

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Observation a72e0745-f7a8-42cd-b103-ada2967570d8 · outbound

This paper cites Why so pessimistic? estimating uncertainties for offline rl through ensembles, and why their independence matters.

Learning Ensembles of Vision-based Safety Control Filters Why so pessimistic? estimating uncertainties for offline rl through ensembles, and why their independence matters

Reference 19

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Observation 85c0d2fe-f724-40b6-887d-e9fcf97006c7 · outbound

This paper cites Autonomy for surgical robots: Concepts and paradigms.

Learning Ensembles of Vision-based Safety Control Filters Autonomy for surgical robots: Concepts and paradigms

Reference 20

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Observation 2e282fe4-6c1d-4401-8352-89b2dfe9e930 · outbound

This paper cites Ensemble quantile networks: Uncertainty-aware reinforcement learning with applications in autonomous driving.

Learning Ensembles of Vision-based Safety Control Filters Ensemble quantile networks: Uncertainty-aware reinforcement learning with applications in autonomous driving

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.385426Z

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Observation eecdd9b9-6275-43f0-a505-95945e68fe33 · outbound

This paper cites Verifying controllers with vision-based perception using safe approximate abstractions.

Learning Ensembles of Vision-based Safety Control Filters Verifying controllers with vision-based perception using safe approximate abstractions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.378247Z

Source-reported events for the cited work

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Observation ddd68cf3-e58e-4115-9e8f-0fbbc1240fee · outbound

This paper cites Verification of neural control barrier functions with symbolic derivative bounds propagation.

Learning Ensembles of Vision-based Safety Control Filters Verification of neural control barrier functions with symbolic derivative bounds propagation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.370566Z

Source-reported events for the cited work

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Observation 8503dd61-f287-4aba-97f5-82b00e7d2ee8 · outbound

This paper cites An expert ensemble for detecting anomalous scenes, interactions, and behaviors in autonomous driving.

Learning Ensembles of Vision-based Safety Control Filters An expert ensemble for detecting anomalous scenes, interactions, and behaviors in autonomous driving

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.363465Z

Source-reported events for the cited work

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Observation 649ebf13-cd3b-48ed-b53e-51e74212534a · outbound

This paper cites Verification of image-based neural network controllers using generative models.

Learning Ensembles of Vision-based Safety Control Filters Verification of image-based neural network controllers using generative models

Reference 25

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Source-reported events for the cited work

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Observation 53f43bf2-4ff2-4cda-bfc7-50bbae821cc6 · outbound

This paper cites Safety filters for black-box dynamical systems by learning discriminating hyperplanes.

Learning Ensembles of Vision-based Safety Control Filters Safety filters for black-box dynamical systems by learning discriminating hyperplanes

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.349422Z

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Observation 34d85b0b-2b54-4fd1-b2fe-9cba244dda4c · outbound

This paper cites An ensemble method for inverse reinforcement learning.

Learning Ensembles of Vision-based Safety Control Filters An ensemble method for inverse reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.342471Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62d05c38-c7a3-48bf-879c-5e999bbd336f · outbound

This paper cites Where are we in the search for an artificial visual cortex for embodied intelligence? Advances in Neural Information Processing Systems, 36: 0 655--677, 2023.

Learning Ensembles of Vision-based Safety Control Filters Where are we in the search for an artificial visual cortex for embodied intelligence? Advances in Neural Information Processing Systems, 36: 0 655--677, 2023

Reference 28

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Observation 0338ae66-5f11-46dc-8470-92dc8ffd5355 · outbound

This paper cites Castnet: A context-aware, spatio-temporal dynamic motion prediction ensemble for autonomous driving.

Learning Ensembles of Vision-based Safety Control Filters Castnet: A context-aware, spatio-temporal dynamic motion prediction ensemble for autonomous driving

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.329423Z

Source-reported events for the cited work

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Observation b28d1908-1e8c-4cef-82d0-7d6fc475c84b · outbound

This paper cites Towards tractable optimism in model-based reinforcement learning.

Learning Ensembles of Vision-based Safety Control Filters Towards tractable optimism in model-based reinforcement learning

Reference 30

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Observation b534f074-896d-465a-8004-1af19b7a0594 · outbound

This paper cites Dey, and Marco Molinaro.

Learning Ensembles of Vision-based Safety Control Filters Dey, and Marco Molinaro

Reference 31

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This paper cites Sablas: Learning safe control barrier functions for systems with unknown dynamics.

Learning Ensembles of Vision-based Safety Control Filters Sablas: Learning safe control barrier functions for systems with unknown dynamics

Reference 32

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Observation 0f4bdbe5-377f-4a19-9077-cecd80d48dfa · outbound

This paper cites Learning transferable visual models from natural language supervision.

Learning Ensembles of Vision-based Safety Control Filters Learning transferable visual models from natural language supervision

Reference 33

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Observation c63aa22d-0b71-4a05-aa92-fb7714401f35 · outbound

This paper cites Uncertainty quantification and deep ensembles.

Learning Ensembles of Vision-based Safety Control Filters Uncertainty quantification and deep ensembles

Reference 34

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This paper cites Ensemble learning: A survey.

Learning Ensembles of Vision-based Safety Control Filters Ensemble learning: A survey

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.297246Z

Source-reported events for the cited work

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Observation b3449f47-44e8-40b5-8838-ac3b9720e499 · outbound

This paper cites Nnlander-verif: A neural network formal verification framework for vision-based autonomous aircraft landing.

Learning Ensembles of Vision-based Safety Control Filters Nnlander-verif: A neural network formal verification framework for vision-based autonomous aircraft landing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.290549Z

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Observation 5f2b1eb7-cca3-4c92-b769-4b8b37409c78 · outbound

This paper cites Neural Network Verification with Branch-and-Bound for General Nonlinearities.

Learning Ensembles of Vision-based Safety Control Filters Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 37

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Observation fedb6982-9253-49b9-b0bd-8d106d5ca8b2 · outbound

This paper cites Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory.

Learning Ensembles of Vision-based Safety Control Filters Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory

Reference 38

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Observation 185b9a02-f08c-4b12-bd29-d969c8ce818f · outbound

This paper cites Learning a Formally Verified Control Barrier Function in Stochastic Environment.

Learning Ensembles of Vision-based Safety Control Filters Learning a Formally Verified Control Barrier Function in Stochastic Environment

Reference 39

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This paper cites When are ensembles really effective? Advances in Neural Information Processing Systems, 36, 2024.

Learning Ensembles of Vision-based Safety Control Filters When are ensembles really effective? Advances in Neural Information Processing Systems, 36, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.284092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c361f929-1e21-4464-876d-c5da86fca542 · outbound

This paper cites Enforcing safety for vision-based controllers via control barrier functions and neural radiance fields.

Learning Ensembles of Vision-based Safety Control Filters Enforcing safety for vision-based controllers via control barrier functions and neural radiance fields

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T23:59:13.612164Z

Source-reported events for the cited work

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Observation 92293286-0dfc-4554-bee0-4e921c202669 · outbound

This paper cites Deepaccident: A motion and accident prediction benchmark for v2x autonomous driving.

Learning Ensembles of Vision-based Safety Control Filters Deepaccident: A motion and accident prediction benchmark for v2x autonomous driving

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.273440Z

Source-reported events for the cited work

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Observation e1302fb3-57d5-48d8-9a19-e0763166f442 · outbound

This paper cites Neural lyapunov control for discrete-time systems.

Learning Ensembles of Vision-based Safety Control Filters Neural lyapunov control for discrete-time systems

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:59:14.266469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14fa8097-b29f-4598-ac23-916515a90c62 · outbound

This paper cites Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving.

Learning Ensembles of Vision-based Safety Control Filters Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T23:59:13.618627Z

Source-reported events for the cited work

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Observation 590e625f-525e-4266-8c84-84faace38086 · outbound

This paper cites Barriernet: Differentiable control barrier functions for learning of safe robot control.

Learning Ensembles of Vision-based Safety Control Filters Barriernet: Differentiable control barrier functions for learning of safe robot control

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T23:59:13.620959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80fa5678-c2a4-4449-bb8c-b8945d393b07 · outbound

This paper cites Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving.

Learning Ensembles of Vision-based Safety Control Filters Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:59:13.665547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

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