Pith. sign in

Paper Citation Record · LEDGER

Safe PDE Boundary Control with Neural Operators

As of 14 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 1 inbound Pith citation observation for arXiv:2411.15643.

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

pith.paper-citation-record.v1
2411.15643 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:08.414652Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T18:31:17.332540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:11:10.907753Z

Reference resolution

85 of 85 outbound references displayed

  • verified exact3
  • verified fuzzy52
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad8187ac-0bb8-4364-8840-1526c62f0cc6 · outbound

This paper cites Constrained policy optimization.

Safe PDE Boundary Control with Neural Operators Constrained policy optimization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.007660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.007660Z digest=sha256:34ef5898f818e89a0abe2872a69ff5f4ec9c24565211db89325bfed74d4d0c28

Observation 7f0f8f2c-4d89-4f7f-83fc-c13c126582ac · outbound

This paper cites Safe control synthesis via input constrained control barrier functions.

Safe PDE Boundary Control with Neural Operators Safe control synthesis via input constrained control barrier functions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.012838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.012838Z digest=sha256:69c0d2f8650d7ce4fcf34d5076a4ea55201f4bf44e6c71659294167b58dfbb22

Observation 71b6e99b-ff58-4fdc-9535-9ed9629e99bd · outbound

This paper cites Control barrier function based quadratic programs with application to adaptive cruise control.

Safe PDE Boundary Control with Neural Operators Control barrier function based quadratic programs with application to adaptive cruise control

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.018344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.018344Z digest=sha256:6bb634b5476cf0661a5ca4fb513c9ac83a710b98021025bec735990ef218cd4a

Observation 44910694-fca6-4af6-aeec-d5199763291f · outbound

This paper cites Control barrier functions: Theory and applications.

Safe PDE Boundary Control with Neural Operators Control barrier functions: Theory and applications

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.023366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.023366Z digest=sha256:8709ffeda7088db9b02048e3bdb76610548baf25ff9904d64842cfa916eb6e02

Observation 9e00d779-6b11-4c00-aaa1-c75d8cf746be · outbound

This paper cites Deepreach: A deep learning approach to high-dimensional reachability.

Safe PDE Boundary Control with Neural Operators Deepreach: A deep learning approach to high-dimensional reachability

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.031000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.031000Z digest=sha256:1a2a5503a6d3f4531676bd9803c5cdecb7f53565f336d3410d25a2a3bd5ccdfb

Observation 8e97fa25-7f80-40a3-a162-51a7405d2e74 · outbound

This paper cites Neural operators for bypassing gain and control computations in pde backstepping.

Safe PDE Boundary Control with Neural Operators Neural operators for bypassing gain and control computations in pde backstepping

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.713899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.036805Z digest=sha256:99e0ba77c13e6743bd8ea00f9be30036c8fdec685e423ce2999d07abe23073e4

Observation 03da0937-141b-498f-8d08-fa07bb7a7416 · outbound

This paper cites Pde control gym: A benchmark for data-driven boundary control of partial differential equations.

Safe PDE Boundary Control with Neural Operators Pde control gym: A benchmark for data-driven boundary control of partial differential equations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.701612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.042009Z digest=sha256:426b40f2914c593c7dc9e669d80356afe8fc3dbc46cc5674830a1663f22b1fc5

Observation 966332c4-61d0-4ebd-8e4d-92c59f8093dc · outbound

This paper cites Learning stability certificates from data.

Safe PDE Boundary Control with Neural Operators Learning stability certificates from data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.689322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.048561Z digest=sha256:495114eea1c86dbf726055c95b55b0ab591139cd7b3ae00b0b69923429bba7ef

Observation c8f9a20b-5c20-43cb-8182-4992b6418c86 · outbound

This paper cites Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies.

Safe PDE Boundary Control with Neural Operators Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.053100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.053100Z digest=sha256:4ec83e19e5f615c60392276a083017d4bb4084303461824d400bbc5d0107b472

Observation 5974678c-d4aa-48cf-acf5-fa8d08d964d3 · outbound

This paper cites Promising directions of machine learning for partial differential equations.

Safe PDE Boundary Control with Neural Operators Promising directions of machine learning for partial differential equations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.059092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.059092Z digest=sha256:aa4207dee57c7301a64a2bcbdd837bc22b6ee6b248c08f916b2fcbe75946471f

Observation bf49aba8-1e4c-4940-90da-6d5037b68525 · outbound

This paper cites Neural lyapunov control.

Safe PDE Boundary Control with Neural Operators Neural lyapunov control

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.669556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.063755Z digest=sha256:2957bf3b5c9c3ae15b41796a13a80f81f2225b45aa2dc2aca96fa3f6b8d71496

Observation 23555a78-df8f-46fb-bc75-556681be16c8 · outbound

This paper cites Robust Tracking Control with Neural Network Dynamic Models under Input Perturbations.

Safe PDE Boundary Control with Neural Operators Robust Tracking Control with Neural Network Dynamic Models under Input Perturbations

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:09:08.764647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.067825Z digest=sha256:1cb1e3cb13a66e549a5f60000b4d863c343276bf4140a0c212cefd6042985c16

Observation c0820e0a-0377-4aa0-a535-4fb291584666 · outbound

This paper cites Robust control barrier--value functions for safety-critical control.

Safe PDE Boundary Control with Neural Operators Robust control barrier--value functions for safety-critical control

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.659037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.073938Z digest=sha256:a2ab5ec0efed217fc18bd1793f086cb675b6fcbaf3cb1bf59127350f4b0a4e0d

Observation aeef88ff-c811-4588-b456-9d2751bddbc6 · outbound

This paper cites Learning a better control barrier function.

Safe PDE Boundary Control with Neural Operators Learning a better control barrier function

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.647422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.078460Z digest=sha256:95c68bcab228043fc666a14ebe2fb2c7d1b12f53f12837123f5dcaa313b8b0af

Observation c51d1fc0-2896-4fc1-8263-00c6f481c5aa · outbound

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

Safe PDE Boundary Control with Neural Operators Safe nonlinear control using robust neural lyapunov-barrier functions

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.634950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.083535Z digest=sha256:00bc5912e0df128113ed12121d49db087d61a14c236f4577ee6d107b680a29f6

Observation 28efc6b3-b7e4-4a5e-aaa4-ca87474cb958 · outbound

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

Safe PDE Boundary Control with Neural Operators Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.622422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.087098Z digest=sha256:f00aa014cd334a658dac88b55379c7de88875658860f936d9bbd7596f264f0e7

Observation 7ec2b177-cc3e-4bdd-b126-b71951c3a131 · outbound

This paper cites Concrete functional calculus.

Safe PDE Boundary Control with Neural Operators Concrete functional calculus

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.609880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.090453Z digest=sha256:a2b8cf7ba8e2378eea3410100618b102846541aa7a995a2a168709bdbd68c5fd

Observation 764492eb-ee09-41f0-89b5-9505701a8562 · outbound

This paper cites Partial differential equations, volume 19.

Safe PDE Boundary Control with Neural Operators Partial differential equations, volume 19

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.598158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.093934Z digest=sha256:9dad905e8c2b0e3dbe1a3028b7b01da6c69788d50235e77243925b5d647586ee

Observation 00b566fd-f278-47d0-827a-6864a45f2e94 · outbound

This paper cites Characterization of domain of fixed-time stability under control input constraints.

Safe PDE Boundary Control with Neural Operators Characterization of domain of fixed-time stability under control input constraints

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.584531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.100345Z digest=sha256:bd59053fffd660909b70cedf8503d005cc0bfcdf370e48be463d4252d409cd3b

Observation 9490e02f-3edc-4443-8b38-26f4fad59a57 · outbound

This paper cites Robust control barrier and control lyapunov functions with fixed-time convergence guarantees.

Safe PDE Boundary Control with Neural Operators Robust control barrier and control lyapunov functions with fixed-time convergence guarantees

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.567462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.105729Z digest=sha256:fadb7dd0cf04c78117d91d6ffd5dcc3ac0ca18a9b3d0f30a79f093017d22ce2f

Observation f1a2171a-62f6-4631-bf2f-e29977dca73a · outbound

This paper cites Learning to Walk in the Real World with Minimal Human Effort.

Safe PDE Boundary Control with Neural Operators Learning to Walk in the Real World with Minimal Human Effort

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.109968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.109968Z digest=sha256:cef0f827e6d7fd9c7dce0fcf46be50677602df4a30aa7b319d14529000a4397c

Observation 599e3cbe-2f23-4a2d-a5a2-6c10a5fa6ef1 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Safe PDE Boundary Control with Neural Operators Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.113819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.113819Z digest=sha256:0911b29d0c66cfe344280d791aba12b3bedc4631fef23f319f5a6085a8040a40

Observation f0d9a4a2-aa04-4a3f-a4bd-b668501254ca · outbound

This paper cites Neuralsim: Augmenting differentiable simulators with neural networks.

Safe PDE Boundary Control with Neural Operators Neuralsim: Augmenting differentiable simulators with neural networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.552185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.119464Z digest=sha256:a8b9a7ce2b65ee71e670ab497dac29908dea4d246997d5e30025b234e141eb88

Observation c9f453a7-132d-4462-9d4f-e384e5444c09 · outbound

This paper cites The safety filter: A unified view of safety-critical control in autonomous systems.

Safe PDE Boundary Control with Neural Operators The safety filter: A unified view of safety-critical control in autonomous systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.123020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.123020Z digest=sha256:3bc5b07eaf101b05d5fe0b8bb0d06eba1d0137bb2c646e895660b43ccbb53d9a

Observation 1c590d96-cae7-46a3-9204-8952ebd02475 · outbound

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

Safe PDE Boundary Control with Neural Operators Verification of neural control barrier functions with symbolic derivative bounds propagation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.532924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.126915Z digest=sha256:27484cc9edb6f579331f8b060b0c5fbaf12e9a8ff85a84b6ad00e040d5735dde

Observation dc712da6-16e5-4ba9-a174-26fa667c38e2 · outbound

This paper cites From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control.

Safe PDE Boundary Control with Neural Operators From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.131637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.131637Z digest=sha256:964d2b61090dc59430b3b854daca82e6c1c7f55a61249411e39635fdddbfa2d4

Observation ab97e4d7-925e-43f5-add7-3a4acb9df2a3 · outbound

This paper cites Ibm ilog cplex optimization studio.

Safe PDE Boundary Control with Neural Operators Ibm ilog cplex optimization studio

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.521211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.136184Z digest=sha256:2492f11b933e562f3ed69b97c7dbb0952105ddb69dc2f9679eabafe2ffda1ac2

Observation e6f139c1-97d1-4f4e-87a5-65634b376994 · outbound

This paper cites Machine learning--accelerated computational fluid dynamics.

Safe PDE Boundary Control with Neural Operators Machine learning--accelerated computational fluid dynamics

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.509572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.142757Z digest=sha256:44fc1769e9643726164569fbba58d4f817bbfff3a977b0cd6867c3d5f378cece

Observation 8ca339ab-72f5-46c5-8824-0a402d77f737 · outbound

This paper cites Safe pde backstepping qp control with high relative degree cbfs: Stefan model with actuator dynamics.

Safe PDE Boundary Control with Neural Operators Safe pde backstepping qp control with high relative degree cbfs: Stefan model with actuator dynamics

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.495719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.146409Z digest=sha256:d433d81bdd436e382cdd7090f9c198dc615544dc0224f4de65936a839dba2859

Observation f940a357-f57a-4a45-b77b-d4c9db9e7e68 · outbound

This paper cites Neural operator: Learning maps between function spaces with applications to pdes.

Safe PDE Boundary Control with Neural Operators Neural operator: Learning maps between function spaces with applications to pdes

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.150181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.150181Z digest=sha256:0f66a95fcf1b76372b840ece4bf59b14a303cebe15f2ce9c967b9584ba8576b2

Observation c0acf03a-4e18-4fa4-9ab1-95f0d4f0dd10 · outbound

This paper cites Nonovershooting control of strict-feedback nonlinear systems.

Safe PDE Boundary Control with Neural Operators Nonovershooting control of strict-feedback nonlinear systems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.467076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.153987Z digest=sha256:9c31107f898ee3d96cd8119181c3ee01ad0204196259631d74cf47a2e65d0ddc

Observation 835c9ad1-8759-4d0e-9afa-4f8371a589a2 · outbound

This paper cites Backstepping boundary control for first-order hyperbolic pdes and application to systems with actuator and sensor delays.

Safe PDE Boundary Control with Neural Operators Backstepping boundary control for first-order hyperbolic pdes and application to systems with actuator and sensor delays

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.453041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.162478Z digest=sha256:b9e30be8a71f4f34a3ab41983b62e5f2d40f202b996428a9cd3fd9e46004b072

Observation c7bbe967-36da-4b8b-9d18-1bae064ad81f · outbound

This paper cites Boundary control of PDEs: A course on backstepping designs.

Safe PDE Boundary Control with Neural Operators Boundary control of PDEs: A course on backstepping designs

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.440149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.166269Z digest=sha256:d0dab81d31bda2f278921935b2f32e328b89875dc8390628fc46855ecfed2c43

Observation 5bb3ea03-9b53-4a35-8b89-fdd9779935ba · outbound

This paper cites Neural operators of backstepping controller and observer gain functions for reaction--diffusion pdes.

Safe PDE Boundary Control with Neural Operators Neural operators of backstepping controller and observer gain functions for reaction--diffusion pdes

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.428230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.170178Z digest=sha256:3f8ff641cefb7fe40a16e5b5e9543f7d7b72f9593dc92f6e109822f51b59280f

Observation eb44b406-3e8d-46c3-a189-71d1dd64c43c · outbound

This paper cites Mean-nonovershooting control of stochastic nonlinear systems.

Safe PDE Boundary Control with Neural Operators Mean-nonovershooting control of stochastic nonlinear systems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.414641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.173462Z digest=sha256:6b861803c29677fc28613b85633bd96746ce7d6e0e4b916121aaabae26a7fba4

Observation 8cf04174-1db3-48b3-a333-2d9d9b347966 · outbound

This paper cites NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation.

Safe PDE Boundary Control with Neural Operators NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.176608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.176608Z digest=sha256:03dbb6451b21c1896236d62202c79842544243abc3b105e23639cb027b32ea98

Observation 2bac6381-2d68-431e-8677-fab604497210 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Safe PDE Boundary Control with Neural Operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.181026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.181026Z digest=sha256:902c5ee9be83fccd755c7046126dda5ae61ee5bec3e27afb132ffb450235846e

Observation cb5ce79a-518e-4165-a7f6-679d07a70206 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

Safe PDE Boundary Control with Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.186049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.186049Z digest=sha256:8bdfe0d18f389bbfc562f7f04c63adef9681c35daaec3abf54d80e4db0da2dba

Observation 59cd9791-ee1a-4281-99e7-a1cbbbd4da6a · outbound

This paper cites Multipole graph neural operator for parametric partial differential equations.

Safe PDE Boundary Control with Neural Operators Multipole graph neural operator for parametric partial differential equations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.402133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.190103Z digest=sha256:3fa16c82c8f07aa5e757be69aff7fc093b3f9173e637a48b3e4578bdeb4305fe

Observation b707adc0-f24e-432d-b5f2-95fd6b3b87a9 · outbound

This paper cites Learning dissipative dynamics in chaotic systems.

Safe PDE Boundary Control with Neural Operators Learning dissipative dynamics in chaotic systems

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.388467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.194258Z digest=sha256:c69599c3199d41a9ba8163f80be1ba7fbe1a85a39284719a692a75573e148bbf

Observation 517038fb-2408-4c0f-af60-59254a47497f · outbound

This paper cites Physics-informed neural operator for learning partial differential equations.

Safe PDE Boundary Control with Neural Operators Physics-informed neural operator for learning partial differential equations

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.197747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.197747Z digest=sha256:9d0a9cab4d5f5e9692f3c5da94f46f45822c9aca0403814d54a9e5ee20b3f505

Observation b7b84a86-7e4d-4b1b-93ba-e443c06c6615 · outbound

This paper cites Control barrier functions for signal temporal logic tasks.

Safe PDE Boundary Control with Neural Operators Control barrier functions for signal temporal logic tasks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.364331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.201663Z digest=sha256:7b18b0228c5ce08278ac5d19762585e152225a872ef221214a6d9b8c3f81f97f

Observation 97857abc-f039-4ce1-b2b3-338d6cc575bc · outbound

This paper cites Learning hybrid control barrier functions from data.

Safe PDE Boundary Control with Neural Operators Learning hybrid control barrier functions from data

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.349013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.206994Z digest=sha256:f36684c71789a22d64b6e305bec95d5ac3e30087196dba48d8533b1c17c8d15d

Observation 21417cb9-d430-4937-bd52-309d21e15d60 · outbound

This paper cites Control in a safe set: Addressing safety in human-robot interactions.

Safe PDE Boundary Control with Neural Operators Control in a safe set: Addressing safety in human-robot interactions

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.201710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.211176Z digest=sha256:a56f4eb2659c1211b8ea29b7845322ae516f1ce5834fd7e940dc6a55853988dc

Observation dd95476d-29e4-49ae-9130-1edac057675e · outbound

This paper cites Safe control under input limits with neural control barrier functions.

Safe PDE Boundary Control with Neural Operators Safe control under input limits with neural control barrier functions

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.191010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.215500Z digest=sha256:5933eade2adf73232356dfa9059bbe038ec2fa747f57ed4e7641a25d127b17ad

Observation 5e6a9ea8-395b-4712-b4bd-8abe10765ce8 · outbound

This paper cites Constrained variational policy optimization for safe reinforcement learning.

Safe PDE Boundary Control with Neural Operators Constrained variational policy optimization for safe reinforcement learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.180105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.218684Z digest=sha256:24e7562732049ae64e7396dadc315d34f7846e87ba546645a9896962ae8f5f62

Observation 25422c13-733c-4891-ace6-7ad0dfb8cf83 · outbound

This paper cites Towards robust and safe reinforcement learning with benign off-policy data.

Safe PDE Boundary Control with Neural Operators Towards robust and safe reinforcement learning with benign off-policy data

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.165491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.222109Z digest=sha256:689e4623945fd2018543cd4d1f551757bbc0455013f82a3b780d8ecb1f0de03a

Observation a66d6004-a631-45da-810b-9a8db5ab6963 · outbound

This paper cites Datasets and benchmarks for offline safe reinforcement learning.

Safe PDE Boundary Control with Neural Operators Datasets and benchmarks for offline safe reinforcement learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.152511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.226479Z digest=sha256:290840e46753b98bf5a4ff715dc068cb18aaf2c109c25acf745a1692b7c5562a

Observation 296f828e-1661-4631-aedc-15c131ba39cb · outbound

This paper cites Learning nonlinear operators via deeponet based on the universal approximation theorem of operators.

Safe PDE Boundary Control with Neural Operators Learning nonlinear operators via deeponet based on the universal approximation theorem of operators

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.230934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.230934Z digest=sha256:0afee050cdb193094fda7a8f8d5fc8bde9553ce313aab314e2bbed930237801e

Observation 2f3e0d9a-1b32-413d-8753-e8e2b61a79f2 · outbound

This paper cites Learning neural constitutive laws from motion observations for generalizable pde dynamics.

Safe PDE Boundary Control with Neural Operators Learning neural constitutive laws from motion observations for generalizable pde dynamics

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.129468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.234874Z digest=sha256:6c0c9b7dcf46ef24a3dc60db3fe833eb05250483c0e2a81fc2740df5fdf059e2

Observation c9d33ece-b362-4728-865d-4f5b370dca28 · outbound

This paper cites Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation.

Safe PDE Boundary Control with Neural Operators Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:09:08.654281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.239965Z digest=sha256:b54d76bd53b096c2d19b3bee0779e38eb01644b0a30e06ac2a7120312f3915a1

Observation 4bb476a4-a887-4918-b18a-f05b2c1115dc · outbound

This paper cites Domain Adaptive Safety Filters via Deep Operator Learning.

Safe PDE Boundary Control with Neural Operators Domain Adaptive Safety Filters via Deep Operator Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.244227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.244227Z digest=sha256:a5b8e9a5bf7a89b5327379161c953d0e0c2f6c6693663461844f0319212e1506

Observation ee06ae63-2dc0-4ed9-83f1-3cfc19908224 · outbound

This paper cites Safety guarantees for neural network dynamic systems via stochastic barrier functions.

Safe PDE Boundary Control with Neural Operators Safety guarantees for neural network dynamic systems via stochastic barrier functions

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.113169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.248959Z digest=sha256:d62e85a546244ad4d71236c5b43886acedfd835e2afefaa249b1b0b4d60355e8

Observation f2add93e-8e2e-40d0-a65e-aab9fc2cd89b · outbound

This paper cites Optimal control of pdes using physics-informed neural networks.

Safe PDE Boundary Control with Neural Operators Optimal control of pdes using physics-informed neural networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.097515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.252756Z digest=sha256:80e151e2183e9eddc2ab8bbe853d2fe81c87fb126b7fe4ab447707959440acd0

Observation 23d74c66-ad2b-4544-b365-26cdf90e8f94 · outbound

This paper cites Neuraloperators.

Safe PDE Boundary Control with Neural Operators Neuraloperators

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.081169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.257041Z digest=sha256:d100451c2f8c31914aa4163eab932efe0e3af438b1bba650580d01f4b64bf672

Observation 2cdad1b5-5310-4942-bf7d-b8a23a624b58 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Safe PDE Boundary Control with Neural Operators FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.261462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.261462Z digest=sha256:49eebca9b694acaf5736c3ab11cb80315518560233bccab46438db313ecd22bc

Observation 066ffe05-22ab-4352-b71e-93d032260af3 · outbound

This paper cites Differential equations and dynamical systems, volume 7.

Safe PDE Boundary Control with Neural Operators Differential equations and dynamical systems, volume 7

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.068739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.265708Z digest=sha256:a0005f9465a485803a8e80a95f1bef4eb729b210eb70c18bc7718038d490e211

Observation a06d22fc-63c0-4b25-98ab-113acfb815d8 · outbound

This paper cites Nonlinear feedback design for fixed-time stabilization of linear control systems.

Safe PDE Boundary Control with Neural Operators Nonlinear feedback design for fixed-time stabilization of linear control systems

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.057722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.269374Z digest=sha256:18c29e7e1b8348422d5ab690903408c8df72c4449bb1752ff10305398ee349c9

Observation e11f9e75-e735-4d74-a0b1-d79da8b45ed7 · outbound

This paper cites Optimal feedback control of the incompressible navier-stokes-equations using reduced order models.

Safe PDE Boundary Control with Neural Operators Optimal feedback control of the incompressible navier-stokes-equations using reduced order models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.045808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.273079Z digest=sha256:99e7b6821502e15fdbe53188a6d6c0ff795265ee5a0f76fad913b36312d6186b

Observation a96f591b-7dc6-48ac-a93c-e1b869409d7d · outbound

This paper cites Neural operators for delay-compensating control of hyperbolic pides.

Safe PDE Boundary Control with Neural Operators Neural operators for delay-compensating control of hyperbolic pides

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.033569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.276717Z digest=sha256:3621cff6dee0f0f9a19096901fc7c3fea2b7391a040509db7aef8d2d6cd96862

Observation 7bd9497d-81c7-41a4-82ee-a5739500e3e3 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Safe PDE Boundary Control with Neural Operators Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.280333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.280333Z digest=sha256:7a68b27cf12d242cdb67d832cf98a4a4dc7564995919f03efbd59e1ea34b4528

Observation e09b7276-ec21-4d5b-b22e-8762e4057fe3 · outbound

This paper cites An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications.

Safe PDE Boundary Control with Neural Operators An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:09.009722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.285469Z digest=sha256:09469c17626f3b5a68b686e5d1476b643590df1791a66935cf4a1fd630da97eb

Observation 9762a128-52df-4ac8-8f42-7c835ffad779 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Safe PDE Boundary Control with Neural Operators Proximal Policy Optimization Algorithms

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.289142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.289142Z digest=sha256:4d918ffd73cf7615ea4e00e5bd13c0aa82adb18dc9ce30eaae692ef0c6bd9cb2

Observation 5dc4483d-1def-4ff7-95b9-e7f74edd4cdf · outbound

This paper cites Nomad: Nonlinear manifold decoders for operator learning.

Safe PDE Boundary Control with Neural Operators Nomad: Nonlinear manifold decoders for operator learning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.992690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.292835Z digest=sha256:645f748012fdfb13ea14f989d59974b5e9bf9f2b211750e99afd2a8ee5bf9423

Observation 6ad53bad-2dc1-4777-bce5-67663517dac2 · outbound

This paper cites Closed-form boundary state feedbacks for a class of 1-d partial integro-differential equations.

Safe PDE Boundary Control with Neural Operators Closed-form boundary state feedbacks for a class of 1-d partial integro-differential equations

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.977299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.297310Z digest=sha256:33e7193ad7b9bdf95fcb530c21839be3cc8b335a1f000864938a0614205756d1

Observation 7ecd9b0e-36a2-4c7a-8759-9d9a93801158 · outbound

This paper cites Adaptive control of parabolic PDEs.

Safe PDE Boundary Control with Neural Operators Adaptive control of parabolic PDEs

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.965806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.300952Z digest=sha256:7e58cc57765b92a4e48f0ef9ce95de0bebaaba80467078461d92d20446f485b8

Observation 5fa6082f-2a27-43e8-b9f8-af90c19476b9 · outbound

This paper cites How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems.

Safe PDE Boundary Control with Neural Operators How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:09:08.570819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.305228Z digest=sha256:228edbe2c76aad6ec2f19a8db000fd80568ed943941259c3f458f3539980ae0b

Observation fac94f1c-400f-4d0f-a6ee-ba4e6732b299 · outbound

This paper cites PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs.

Safe PDE Boundary Control with Neural Operators PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.310875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.310875Z digest=sha256:499eeddea5916ec66f60c2d14b67f37b691b0f640ccae338f37b4504af8011c1

Observation d50e5e03-12a6-447f-88b2-09e04aa28edd · outbound

This paper cites Output-Positive Adaptive Control of Hyperbolic PDE-ODE Cascades.

Safe PDE Boundary Control with Neural Operators Output-Positive Adaptive Control of Hyperbolic PDE-ODE Cascades

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.316665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.316665Z digest=sha256:98f68c6ebbef81db54d46162bf7156d94d5f77d3414512a7bc774281eff9943d

Observation e2f20afe-1c48-4426-b111-58f0592a2c49 · outbound

This paper cites A generative approach to control complex physical systems.

Safe PDE Boundary Control with Neural Operators A generative approach to control complex physical systems

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.953334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.321851Z digest=sha256:f290dbd71c7a09def905f0561cb8944bcdb031094de02efeda605ac5b0fa5e9a

Observation 94bbfe9a-b53f-4d28-b84c-99f6e79f1e91 · outbound

This paper cites Persistently feasible robust safe control by safety index synthesis and convex semi-infinite programming.

Safe PDE Boundary Control with Neural Operators Persistently feasible robust safe control by safety index synthesis and convex semi-infinite programming

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.939638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.327024Z digest=sha256:d009d4bd36d7b3e3e45d160f05ef52f72e10d3c0aae1477f3c187f34e9e05cff

Observation 9b0f5bd1-2234-47d1-a534-dbc660036513 · outbound

This paper cites ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks.

Safe PDE Boundary Control with Neural Operators ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.331954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.331954Z digest=sha256:43e43a459a96ecd5880674870b88a50787e5666eedc2177ba2dec46990585bde

Observation f1333f2a-b81f-4b4e-bcce-42fe28ecef93 · outbound

This paper cites High order control lyapunov-barrier functions for temporal logic specifications.

Safe PDE Boundary Control with Neural Operators High order control lyapunov-barrier functions for temporal logic specifications

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.924428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.339134Z digest=sha256:df0f3a6da84d7b866229e188c80efa184faeb35083c93f0c1fe6e248469c1ab8

Observation 435268a9-e581-4158-bd5f-bcd19dfc3d77 · outbound

This paper cites Sufficient conditions for feasibility of optimal control problems using control barrier functions.

Safe PDE Boundary Control with Neural Operators Sufficient conditions for feasibility of optimal control problems using control barrier functions

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.910673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.343933Z digest=sha256:513de7b80c8db378a413e0886a0d23feab5117cbf637f3f40de5db23b4cccf60

Observation 5302d8c8-4feb-4fcb-9a03-332e05c34078 · outbound

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

Safe PDE Boundary Control with Neural Operators Barriernet: Differentiable control barrier functions for learning of safe robot control

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.896512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.349502Z digest=sha256:27651fcbf7184ba18447d2348d694bccd1d2a65448c1935656772701fdb2aa6c

Observation f08ebd32-b89e-4e4e-b31b-b18aab04605c · outbound

This paper cites Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis.

Safe PDE Boundary Control with Neural Operators Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.354374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.354374Z digest=sha256:c2e0f4c116c36a9a9e2dce8989ed5912229271b3b70da0bff599f491fd1d83dc

Observation 9f9823de-df21-4cb5-90cb-390ccdfad178 · outbound

This paper cites Learning dynamical systems from data: An introduction to physics-guided deep learning.

Safe PDE Boundary Control with Neural Operators Learning dynamical systems from data: An introduction to physics-guided deep learning

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.877032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.363003Z digest=sha256:b27b5633b30c9a7634317ccac16db76e0f3d63f80b1d76e33844dc5684d1b060

Observation bf10cd9b-f63b-4b4d-9fe0-8a2ba630b5da · outbound

This paper cites Exact verification of re LU neural control barrier functions.

Safe PDE Boundary Control with Neural Operators Exact verification of re LU neural control barrier functions

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.862802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.371993Z digest=sha256:e9ff8c42f9d8e50a62b3ea11373a16462d51e772eb57748827771f85a375ec06

Observation e46c4501-4885-49c9-9ea9-5358f113aaee · outbound

This paper cites Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms.

Safe PDE Boundary Control with Neural Operators Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.848066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.378256Z digest=sha256:0acff9ad27ea968b49eea3782c1e266b6d257ee598549ba39f401065e60674fe

Observation 52b3e0df-66b5-4f39-b768-2ffea8885b98 · outbound

This paper cites Policy Optimization for PDE Control with a Warm Start.

Safe PDE Boundary Control with Neural Operators Policy Optimization for PDE Control with a Warm Start

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.382713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.382713Z digest=sha256:9ef83294703d75a51b8486d2fcdcb4d5fa9aff1796f30f2c26a45f1359ff8072

Observation f1babf15-ebea-4a56-9cad-5ff777a21146 · outbound

This paper cites Synthesizing barrier certificates using neural networks.

Safe PDE Boundary Control with Neural Operators Synthesizing barrier certificates using neural networks

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:08.831047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.389049Z digest=sha256:9e1605954745a20ea0984a74c13a7c9a83ea247c538b51c8a30718b928013344

Observation 67f26469-c9d4-4337-a501-ed890915a99b · outbound

This paper cites Neural Differentiable Integral Control Barrier Functions for Unknown Nonlinear Systems with Input Constraints.

Safe PDE Boundary Control with Neural Operators Neural Differentiable Integral Control Barrier Functions for Unknown Nonlinear Systems with Input Constraints

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.394796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.394796Z digest=sha256:df769f87c6066cb6ab2d5a6296e94c55e8648a77799e3d17c488c310975a3ee8

Observation b42213a8-4ad5-4ea9-89e9-16c36f88f973 · outbound

This paper cites @esa (Ref.

Safe PDE Boundary Control with Neural Operators @esa (Ref

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.401113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.401113Z digest=sha256:44ba9f74f5ca348c77c6965f9ebaeb39c998f1b1a9127ff1a6c638ba93f94163

Observation a034d591-8aa1-4eac-8544-92de9c9b34c2 · outbound

This paper cites an unresolved cited work.

Safe PDE Boundary Control with Neural Operators Unresolved cited work

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.408230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.408230Z digest=sha256:04e0109f673293124e31a9c1b710ecfe972698b12c0545de4e3f4693ca732e39

Observation 04fe3e7e-0385-464a-aaf7-e4115076a96e · outbound

This paper cites an unresolved cited work.

Safe PDE Boundary Control with Neural Operators Unresolved cited work

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:08.414652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:08.414652Z digest=sha256:a8ae0eb3da3cec0a12202422543f000897222e48f2560b3a6b99f04175594f6a

Pith citing papers

Observation 7a777874-670c-4f29-a334-de173b1a14b4 · inbound

Online Safety Filter for Deformable Object Manipulation with Horizon Agnostic Neural Operators cites this paper.

Online Safety Filter for Deformable Object Manipulation with Horizon Agnostic Neural Operators Safe PDE Boundary Control with Neural Operators

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:10.914292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T18:31:17.332540Z digest=sha256:50ea50b4ff6bcd40c3da13b413c88c8cd9d35a03ba6bc4427f6ba183bf3b4989