Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:50:43.347369Z
Paper Citation Record · LEDGER
Verification of Visual Controllers via Compositional Geometric Transformations
As of 10 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.04523.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
47 of 47 outbound references displayed
- verified exact5
- verified fuzzy34
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 51befdcb-bbf6-431d-a31a-eef17a8e306c · outbound
This paper cites Efficient neural network robustness certification with general activa- tion functions,.
Verification of Visual Controllers via Compositional Geometric Transformations Efficient neural network robustness certification with general activa- tion functions,
Reference 1
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Source-reported events for the cited work
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Observation 87bbac25-095c-4fdf-9833-138a5130e5f9 · outbound
This paper cites Towards fast computation of certified robustness for relu networks,.
Verification of Visual Controllers via Compositional Geometric Transformations Towards fast computation of certified robustness for relu networks,
Reference 2
- Resolution
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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.
Observation e0112b3d-bbe9-43ef-8b91-38bef98d7c03 · outbound
This paper cites Automatic perturbation analy- sis for scalable certified robustness and beyond,.
Verification of Visual Controllers via Compositional Geometric Transformations Automatic perturbation analy- sis for scalable certified robustness and beyond,
Reference 3
- Resolution
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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.
Observation 605dfba0-b853-4132-b4f6-237d6fcb62cc · outbound
This paper cites Semidefinite relax- ations for certifying robustness to adversarial examples,.
Verification of Visual Controllers via Compositional Geometric Transformations Semidefinite relax- ations for certifying robustness to adversarial examples,
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation a253235f-ef5a-4140-8256-b942710d8712 · outbound
This paper cites Evaluating robustness of neural networks with mixed integer programming,.
Verification of Visual Controllers via Compositional Geometric Transformations Evaluating robustness of neural networks with mixed integer programming,
Reference 5
- Resolution
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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.
Observation aa0dcd4f-3710-4706-8162-48e496c3c382 · outbound
This paper cites The marabou framework for verification and analysis of deep neural networks,.
Verification of Visual Controllers via Compositional Geometric Transformations The marabou framework for verification and analysis of deep neural networks,
Reference 6
- Resolution
- verified fuzzy
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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.
Observation 9fdcef05-8f6f-4c2b-bf7b-2f14f4f15cb3 · outbound
This paper cites Re- luplex: An efficient SMT solver for verifying deep neural networks,.
Verification of Visual Controllers via Compositional Geometric Transformations Re- luplex: An efficient SMT solver for verifying deep neural networks,
Reference 7
- Resolution
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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.
Observation 1123e30a-a558-4091-8846-82dcb0ce0ee5 · outbound
This paper cites Verifying low-dimensional input neural networks via input quantization,.
Verification of Visual Controllers via Compositional Geometric Transformations Verifying low-dimensional input neural networks via input quantization,
Reference 8
- Resolution
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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.
Observation c94b94b2-f74b-44fe-ac3e-59c332ce4099 · outbound
This paper cites Reachable polyhedral marching (RPM): A safety verification algorithm for robotic systems with deep neural network components,.
Verification of Visual Controllers via Compositional Geometric Transformations Reachable polyhedral marching (RPM): A safety verification algorithm for robotic systems with deep neural network components,
Reference 9
- Resolution
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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.
Observation 8d675292-a289-41fc-8fdd-25470d8f36ea · outbound
This paper cites An abstract domain for certifying neural networks,.
Verification of Visual Controllers via Compositional Geometric Transformations An abstract domain for certifying neural networks,
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94264b37-1387-4caf-81b8-ac643b2aace1 · outbound
This paper cites On the effectiveness of interval bound propagation for training verifiably robust models,.
Verification of Visual Controllers via Compositional Geometric Transformations On the effectiveness of interval bound propagation for training verifiably robust models,
Reference 11
- Resolution
- verified fuzzy
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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.
Observation c2699b50-fc78-48a6-be01-7d936fd63261 · outbound
This paper cites Certi- fying geometric robustness of neural networks,.
Verification of Visual Controllers via Compositional Geometric Transformations Certi- fying geometric robustness of neural networks,
Reference 12
- Resolution
- verified fuzzy
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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.
Observation 8a585cb5-a747-4807-9236-4a45ba8091fc · outbound
This paper cites Towards verifying robustness of neural networks against a family of semantic perturbations,.
Verification of Visual Controllers via Compositional Geometric Transformations Towards verifying robustness of neural networks against a family of semantic perturbations,
Reference 13
- Resolution
- verified fuzzy
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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.
Observation bd58e50c-8529-43af-af1e-654449d522bf · outbound
This paper cites Tss: Transformation-specific smoothing for robustness certification,.
Verification of Visual Controllers via Compositional Geometric Transformations Tss: Transformation-specific smoothing for robustness certification,
Reference 14
- Resolution
- verified fuzzy
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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.
Observation 5c8cd7c7-7aa0-46bd-840f-178caf1b8470 · outbound
This paper cites Ver- ification of image-based neural network controllers using generative models,.
Verification of Visual Controllers via Compositional Geometric Transformations Ver- ification of image-based neural network controllers using generative models,
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8285409-e41f-4acf-8bb8-09bf736323e1 · outbound
This paper cites Scalable and interpretable verifica- tion of image-based neural network controllers for autonomous vehi- cles,.
Verification of Visual Controllers via Compositional Geometric Transformations Scalable and interpretable verifica- tion of image-based neural network controllers for autonomous vehi- cles,
Reference 16
- Resolution
- verified fuzzy
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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.
Observation 2e03d769-efda-4b08-b80b-0b94684846bd · outbound
This paper cites Bunel, J.
Verification of Visual Controllers via Compositional Geometric Transformations Bunel, J
Reference 17
- Resolution
- verified fuzzy
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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.
Observation 01231d70-0e91-43c0-8d9f-0fa3f3449c72 · outbound
This paper cites an unresolved cited work.
Verification of Visual Controllers via Compositional Geometric Transformations Unresolved cited work
Reference 18
- Resolution
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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.
Observation d5faa734-ec1c-442f-bab0-215f34a31417 · outbound
This paper cites Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,.
Verification of Visual Controllers via Compositional Geometric Transformations Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,
Reference 19
- Resolution
- verified fuzzy
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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.
Observation a943515d-dad9-4dc7-b2bb-c56af9137ad1 · outbound
This paper cites One-shot reachability anal- ysis of neural network dynamical systems,.
Verification of Visual Controllers via Compositional Geometric Transformations One-shot reachability anal- ysis of neural network dynamical systems,
Reference 20
- Resolution
- verified fuzzy
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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.
Observation 91a2043b-e42b-4739-bd3e-4e0506bbac9a · outbound
This paper cites Reachability analysis of neural feedback loops,.
Verification of Visual Controllers via Compositional Geometric Transformations Reachability analysis of neural feedback loops,
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28aa688c-bbbc-44de-b122-e253a7056bba · outbound
This paper cites A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers.
Verification of Visual Controllers via Compositional Geometric Transformations A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:50:43.449027Z
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.
Observation 511803fb-54f8-42da-b815-c75093abe669 · outbound
This paper cites Reach-SDP: Reachability analysis of closed-loop systems with neural network controllers via semidefinite programming,.
Verification of Visual Controllers via Compositional Geometric Transformations Reach-SDP: Reachability analysis of closed-loop systems with neural network controllers via semidefinite programming,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.589861Z
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.
Observation ac4bdcae-671d-4eb6-b5aa-e5fe51c035d7 · outbound
This paper cites Polar-express: Efficient and precise formal reachability analysis of neural-network controlled systems,.
Verification of Visual Controllers via Compositional Geometric Transformations Polar-express: Efficient and precise formal reachability analysis of neural-network controlled systems,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.582751Z
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.
Observation cc247a7e-d87f-43bd-a3c6-3f58b7369937 · outbound
This paper cites Verisig: verifying safety properties of hybrid systems with neural network con- trollers,.
Verification of Visual Controllers via Compositional Geometric Transformations Verisig: verifying safety properties of hybrid systems with neural network con- trollers,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.576023Z
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.
Observation 30422cbf-e5f4-4c86-89a9-f0299f0c97ab · outbound
This paper cites Reachability analysis for neural feedback systems using regressive polynomial rule inference,.
Verification of Visual Controllers via Compositional Geometric Transformations Reachability analysis for neural feedback systems using regressive polynomial rule inference,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.569508Z
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.
Observation 7b4e386b-b729-4037-8042-18b27f51215f · outbound
This paper cites Reachnn: Reachability analysis of neural-network controlled systems,.
Verification of Visual Controllers via Compositional Geometric Transformations Reachnn: Reachability analysis of neural-network controlled systems,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.562857Z
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.
Observation 9629dbea-7d10-4cc6-8597-b202a0cb77a7 · outbound
This paper cites Reachnn*: A tool for reachability analysis of neural-network controlled systems,.
Verification of Visual Controllers via Compositional Geometric Transformations Reachnn*: A tool for reachability analysis of neural-network controlled systems,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.555049Z
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.
Observation ef099629-a054-4a79-903b-2d1b0dfb4371 · outbound
This paper cites Reachable set estimation for neural network control systems: A simulation-guided approach,.
Verification of Visual Controllers via Compositional Geometric Transformations Reachable set estimation for neural network control systems: A simulation-guided approach,
Reference 29
- Resolution
- verified fuzzy
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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.
Observation a697411c-bef1-428e-9e1a-dcd95ba03f8e · outbound
This paper cites Neural network compression of ACAS Xu early prototype is unsafe: Closed-loop verification through quantized state backreachability,.
Verification of Visual Controllers via Compositional Geometric Transformations Neural network compression of ACAS Xu early prototype is unsafe: Closed-loop verification through quantized state backreachability,
Reference 30
- Resolution
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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.
Observation 82030749-3dd0-4807-b089-8679cc4eb362 · outbound
This paper cites Probably approximately correct vision- based planning using motion primitives,.
Verification of Visual Controllers via Compositional Geometric Transformations Probably approximately correct vision- based planning using motion primitives,
Reference 31
- Resolution
- verified fuzzy
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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.
Observation ba3a21af-d270-461b-a14d-03fea307b141 · outbound
This paper cites Safe output feedback motion planning from images via learned perception modules and contraction theory,.
Verification of Visual Controllers via Compositional Geometric Transformations Safe output feedback motion planning from images via learned perception modules and contraction theory,
Reference 32
- Resolution
- verified fuzzy
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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.
Observation cd911dbc-2e2d-47b0-acaa-3b90c37f2249 · outbound
This paper cites Scenario-based Compositional Verification of Autonomous Systems with Neural Perception.
Verification of Visual Controllers via Compositional Geometric Transformations Scenario-based Compositional Verification of Autonomous Systems with Neural Perception
Reference 33
- Resolution
- verified exact
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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.
Observation 567931a5-643c-470d-b460-2da64efad802 · outbound
This paper cites Verifying controllers with vision-based perception using safe approx- imate abstractions,.
Verification of Visual Controllers via Compositional Geometric Transformations Verifying controllers with vision-based perception using safe approx- imate abstractions,
Reference 34
- Resolution
- verified fuzzy
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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.
Observation 9d2846cb-9d48-4b9f-b14f-026755819562 · outbound
This paper cites System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles.
Verification of Visual Controllers via Compositional Geometric Transformations System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65bc631a-d7fd-49ca-ac9d-f77572e2dd33 · outbound
This paper cites Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis.
Verification of Visual Controllers via Compositional Geometric Transformations Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
Reference 36
- Resolution
- verified exact
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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.
Observation 26742cc4-4709-42d8-9fe9-dbe83d5848a8 · outbound
This paper cites Discovering closed-loop failures of vision-based controllers via reachability analysis,.
Verification of Visual Controllers via Compositional Geometric Transformations Discovering closed-loop failures of vision-based controllers via reachability analysis,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.506643Z
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.
Observation 419f8337-8d5a-45a6-bba3-9206fa13e107 · outbound
This paper cites Toward certified robustness against real-world distribution shifts,.
Verification of Visual Controllers via Compositional Geometric Transformations Toward certified robustness against real-world distribution shifts,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.498489Z
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.
Observation 437e5d93-38e7-4330-97bc-990483ada951 · outbound
This paper cites Data-Driven Modeling and Verification of Perception-Based Autonomous Systems.
Verification of Visual Controllers via Compositional Geometric Transformations Data-Driven Modeling and Verification of Perception-Based Autonomous Systems
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:50:43.403342Z
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.
Observation c8e15f4b-7672-4d12-8a61-d5e3cfe5fee7 · outbound
This paper cites Enforcing safety for vision-based controllers via control barrier functions and neural radiance fields,.
Verification of Visual Controllers via Compositional Geometric Transformations Enforcing safety for vision-based controllers via control barrier functions and neural radiance fields,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.490737Z
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.
Observation e7e82b67-56e5-4ba0-8359-f8014341a517 · outbound
This paper cites Nnlander-verif: A neural network formal verification framework for vision-based autonomous aircraft landing,.
Verification of Visual Controllers via Compositional Geometric Transformations Nnlander-verif: A neural network formal verification framework for vision-based autonomous aircraft landing,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.482357Z
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.
Observation 8153510d-b55f-4c21-9852-1bb93420cd6d · outbound
This paper cites One-Shot Reachability Analysis of Neural Network Dynamical Systems.
Verification of Visual Controllers via Compositional Geometric Transformations One-Shot Reachability Analysis of Neural Network Dynamical Systems
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:50:43.389140Z
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.
Observation 25b6d545-c84d-4cfd-8c46-871427d3c32e · outbound
This paper cites Branch and bound for piecewise linear neural network verification,.
Verification of Visual Controllers via Compositional Geometric Transformations Branch and bound for piecewise linear neural network verification,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.473224Z
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.
Observation 468bde36-858d-4885-816b-5268355cbee3 · outbound
This paper cites Neural network verification with branch-and-bound for general nonlineari- ties,.
Verification of Visual Controllers via Compositional Geometric Transformations Neural network verification with branch-and-bound for general nonlineari- ties,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:50:43.464326Z
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.
Observation 7d52518b-ed46-42db-a5c1-5c09b74a8336 · outbound
This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.
Verification of Visual Controllers via Compositional Geometric Transformations Gymnasium: A Standard Interface for Reinforcement Learning Environments
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98ea7f20-979f-4e68-93ab-dc9806be6f2a · outbound
This paper cites Proximal Policy Optimization Algorithms.
Verification of Visual Controllers via Compositional Geometric Transformations Proximal Policy Optimization Algorithms
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a5a5c7d-4972-4e48-8b18-b299a7325280 · outbound
This paper cites On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.
Verification of Visual Controllers via Compositional Geometric Transformations On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Reference 2019
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.