Paper Citation Record · LEDGER

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version)

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.17139.

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

pith.paper-citation-record.v1
2504.17139 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:57.399887Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy19
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efc85902-f74c-43c1-b2bd-551a0fa0a2fe · outbound

This paper cites Rapidly exponentially stabilizing control lyapunov functions and hybrid zero dynamics.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Rapidly exponentially stabilizing control lyapunov functions and hybrid zero dynamics

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.925093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 235dcdd1-f95a-433f-af4f-063d25f98b54 · outbound

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

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Control barrier function based quadratic programs for safety critical systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.281866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eaaf056-0f6f-4af5-8268-325cd0577771 · outbound

This paper cites Control barrier functions: Theory and applications.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Control barrier functions: Theory and applications

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.287319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61f10fc-8c2f-45d9-8e16-581a9b6c77e8 · outbound

This paper cites Optnet: Differentiable optimization as a layer in neural networks.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Optnet: Differentiable optimization as a layer in neural networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.294608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3dede5-062c-43ac-987c-2770541c6cf1 · outbound

This paper cites Neural odes for data-driven automatic self-design of finite-time output feedback control for unknown nonlinear dynamics.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Neural odes for data-driven automatic self-design of finite-time output feedback control for unknown nonlinear dynamics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.889716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba460fb9-450e-442b-86cf-d8452d64fa7f · outbound

This paper cites Ai pontryagin or how artificial neural networks learn to control dynamical systems.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Ai pontryagin or how artificial neural networks learn to control dynamical systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.876625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34105dd6-14c2-4bae-80ca-0311257d2d4a · outbound

This paper cites Neural ordinary differential equations.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Neural ordinary differential equations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.308997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f824d41a-8d47-46eb-a455-121735f770a8 · outbound

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

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Safe nonlinear control using robust neural lyapunov-barrier functions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.313180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c22199-66e5-48cd-97a3-0ebdcbb4c233 · outbound

This paper cites Neural networks with physics-informed architectures and constraints for dynamical systems modeling.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Neural networks with physics-informed architectures and constraints for dynamical systems modeling

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.847978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b0cf544-05b6-4e52-976b-450711efff2b · outbound

This paper cites Implicit functions and solution mappings, volume 543.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Implicit functions and solution mappings, volume 543

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.321672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5362898d-da7e-4386-923f-4a4a51fd4838 · outbound

This paper cites Deep residual learning for image recognition.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Deep residual learning for image recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.325565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f44301d-5b5d-466f-a60e-9bb9338eb4ac · outbound

This paper cites Lyapunov neural ode feedback control policies.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Lyapunov neural ode feedback control policies

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-16T10:54:57.619723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ad30e10-7fe4-4e5a-a229-a0bfeba6cf38 · outbound

This paper cites Neural Certificates for Safe Control Policies.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Neural Certificates for Safe Control Policies

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.333895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4be4ac0-a64a-4ae1-ab82-76f87614eae1 · outbound

This paper cites Modeling trajectories with neural ordinary differential equations.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Modeling trajectories with neural ordinary differential equations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.820470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8b38b9a-5105-4056-8efd-3a94512026f5 · outbound

This paper cites Learning robust state observers using neural odes.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Learning robust state observers using neural odes

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.805500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b9c3895-235e-433e-9aa5-ac9bad549eb8 · outbound

This paper cites How deep do we need: Accelerating training and inference of neural ODE s via control perspective.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) How deep do we need: Accelerating training and inference of neural ODE s via control perspective

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.793029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbdcf6fd-b525-4984-aee6-7d2a36ed0946 · outbound

This paper cites Learning complex motion plans using neural odes with safety and stability guarantees.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Learning complex motion plans using neural odes with safety and stability guarantees

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.349473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f67ec2-5e8f-4a72-bd84-a2c829b9b633 · outbound

This paper cites Safe optimal control using stochastic barrier functions and deep forward-backward sdes.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Safe optimal control using stochastic barrier functions and deep forward-backward sdes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.779698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cec51bcb-cb50-4a6d-aebd-130ed22d033e · outbound

This paper cites Mathematical theory of optimal processes.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Mathematical theory of optimal processes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.763333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fff659d-7477-4a8b-8064-8dbae66c2714 · outbound

This paper cites Lyanet: A lyapunov framework for training neural odes.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Lyanet: A lyapunov framework for training neural odes

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.751312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9566e97a-6f5a-4644-8b1f-f6686e5ddf94 · outbound

This paper cites Neural odes as feedback policies for nonlinear optimal control.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Neural odes as feedback policies for nonlinear optimal control

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.739780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95157fa9-321f-4dcf-b812-dc188348e58f · outbound

This paper cites A ‘universal’construction of artstein's theorem on nonlinear stabilization.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) A ‘universal’construction of artstein's theorem on nonlinear stabilization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.728008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24e98e0a-ce19-444a-a561-c7a0748b0bb4 · outbound

This paper cites Learning for safety-critical control with control barrier functions.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Learning for safety-critical control with control barrier functions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.715453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 624e3ccf-53b9-4f48-960b-7bc94f438a1a · outbound

This paper cites Safety verification and controller synthesis for systems with input constraints.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Safety verification and controller synthesis for systems with input constraints

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.701994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 266c80b6-a895-4775-a9f0-4df5d428b3c9 · outbound

This paper cites Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:57.380659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a51a668-a1c9-4ffa-8f86-e5f8fc99afb7 · outbound

This paper cites Control barrier functions for systems with high relative degree.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Control barrier functions for systems with high relative degree

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.689023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8855670b-0fbb-4316-a21b-aca6257bdd00 · outbound

This paper cites Safe neural control for non-affine control systems with differentiable control barrier functions.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Safe neural control for non-affine control systems with differentiable control barrier functions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.675822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eca0a500-3211-4215-a2f0-333e0ecb8780 · outbound

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

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Barriernet: Differentiable control barrier functions for learning of safe robot control

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.660978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 798541aa-78c0-4dd7-8057-36911b6bfe1e · outbound

This paper cites Stable and safe reinforcement learning via a barrier-lyapunov actor-critic approach.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Stable and safe reinforcement learning via a barrier-lyapunov actor-critic approach

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.646623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ba518d2-e87f-4a34-99fa-93ee6ce21968 · outbound

This paper cites Nlbac: A neural ode-based algorithm for state-wise stable and safe reinforcement learning.

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version) Nlbac: A neural ode-based algorithm for state-wise stable and safe reinforcement learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:57.632229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.