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Paper Citation Record · LEDGER

Safe PDE Boundary Control with Neural Operators

As of 13 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 2026-08-13T06:32:02.005865+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
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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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

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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

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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

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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.036805Z digest=sha256:93fcd0d70d27839d46090b15cf13abd37770ea7f86292596904488fbd468b61a

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.042009Z digest=sha256:1086e2f62c29474c0ea58aab35ee18b9c2f0bb289b3f3cac419a8439af549b13

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.048561Z digest=sha256:86a36d167d92c9831bc242b3e5e074e426a2173f226a9ddf9337cdda8dd2acd5

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

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.063755Z digest=sha256:add7a42289dfdf1c993365be6e7e2ad9203d4b4ec02dfda009f088ae52d81ba3

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

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.067825Z digest=sha256:8571b222fc0c9918922c05571b49a7eab8d56fb2dfa9bf626b81fdcdebd730ca

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.073938Z digest=sha256:e77ff61859256649b14b282b2f54f26c9fb7766811d912ac42fa3f3300f4ebd6

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.078460Z digest=sha256:3e4ca247bc02903ee55abd1b6695449e0d84b592b33f3eb57a453794151ae1b9

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.083535Z digest=sha256:c89385b6610179323ac3dbeb42cf73d9acaa5515d6a9a826f141eac43b0a960c

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.087098Z digest=sha256:0eb270abee843a084a29b0e72494bac1610abf0325d3eb2a7c696dde66fe85c0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.090453Z digest=sha256:483a1ec8eb1f992a6e623004516113756a1d68f9ac81c2d925fb0b8bd93bb585

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.093934Z digest=sha256:b89145bc6c40c56eca1703196c0c726df6d7f061f429ed800e451ec2b510282c

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.100345Z digest=sha256:467aca13d5e6be3c2549c006b7e887fe5ed524add2e16355051e5f9963bc1e5c

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.105729Z digest=sha256:7274c5cd5b4d8eb033c8352baad0b9adfbe8ddc5baa94fb8512ce0edb73708e0

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

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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

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

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.136184Z digest=sha256:8c228a9d02642cc29116f53304e4b21e050d884abbe9142077de9b32f7b28c01

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.142757Z digest=sha256:1c1da994a760773aa67dbf7df60417a7301935de1b236e0d2aafa421f0c5d64d

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
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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.146409Z digest=sha256:81f8134ebef77f9260f0f360492ef4684cd42f0d946f6b7d9958aaf842c3776c

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

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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
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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.153987Z digest=sha256:c5a7436b8af5d4d86a68edf98b73c78fe97c730b17335734838c2705bf3f1d88

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.162478Z digest=sha256:6fe3748423a379fc81d298887b56593065a0a22b1468557fd691fd8c77796580

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

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.166269Z digest=sha256:c413ea456542ac507ca8b85e94eb80b8111e6070816b68f663054c5bc50be37f

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

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.170178Z digest=sha256:170175a92ebd06680549be315a48914f86eaec3b63ce188f1e9c55be35638688

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

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.173462Z digest=sha256:ecbf1d910317d47c007b97af062413ad37d727713c5ec45f657411a215fd5569

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

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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=sha256:7008dbb782889917b5c3209be16d90446873a61e6b294470a1e029026151d747

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

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.190103Z digest=sha256:43d5dfee9bbb017008dfb747b4e9051302bce99a7e33eddda5c12973f38ccfe8

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.194258Z digest=sha256:a5531651eb45e2eecb6cb82c33a24f84085d924b9eb2b26fc38480569716b2a1

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.201663Z digest=sha256:8aed323846da6afa9af04d7c770df98705260a46f96075a0d3f0cceb3aac573a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.206994Z digest=sha256:7a372e5cb4e6bc473a2c9e217e538aadaaeda393c5695bcd16a133c305900b9a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.211176Z digest=sha256:033cb2d713d89d660949bc5e49a18ed9ad6faa6db77792280ce6465fe782e0f7

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.215500Z digest=sha256:65cff73affa881db91cc46a3dfb21431e36e4fd54df8d18959aabfc3a76c7f94

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.218684Z digest=sha256:5833ddf877c596fc50faef8ba676a38e9ac766bec5fe128c2bddeef00f28d16a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.222109Z digest=sha256:320e4be3f912c9bb6d8420426a97504ead21a88ce489524687f40110c7823be5

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.226479Z digest=sha256:4e36019bd41eb2dedf1b97533ea43273ab11cd173f776a70b082dc5b0cce1503

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.234874Z digest=sha256:34ad319cdf194046d43f95005136cdd26adce50ca88b2fe6ff3423afc540d548

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.239965Z digest=sha256:9ee803e12bcb14f9593bc16bb28fe5dfa6bffc45e00afb72750fe84d18243594

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.248959Z digest=sha256:6f1a5b89e3b7161441795f1db67717ea600787e9d4ac9107ce0370c09bbbf0fe

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.252756Z digest=sha256:71bed4abcb5a16b92349bd434731347c6318758e3a298e312639b67b86c63472

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.257041Z digest=sha256:748fa4fe80b23340a59f7fde174e4fd199361b5b1c74e4d8610d06357dd6160e

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=sha256:7505acd28bd35f14ea5d31a53353343206c548960c55bf356710670bc672cbe9

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.265708Z digest=sha256:c005498a21792878f2e7438a3419e3db253938bfb252852392acce620d30033b

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.269374Z digest=sha256:ce1e91b259d264defdcc5fd060768936fb02c41b1f2353fed54c3b2004b8d2e8

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.273079Z digest=sha256:646cd319ed844902e52aea83f4d426c28a6adf14fed1d710f297be9c20b1a131

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.276717Z digest=sha256:4d6f4d5741dd8df4e7a4c87263dd956c4ffe5a4010bfbb958fd01c4a879771ed

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.285469Z digest=sha256:bf623f168073981a1e15208a548a7df232de33d83df352bc0c8c612ef538f96d

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.292835Z digest=sha256:5de93f968b0c41189d256a68a3e8f3a7b5bb9026a765aa2a455e8aa86441a373

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.297310Z digest=sha256:e06a242ded2a5e32ec02b57471abe4af9f39cf46c0d8f10c6741cf12bdac3cc5

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.300952Z digest=sha256:9aeff583d8f1b38791498ac465190cf0e466c4282d560a97a3719c08e244ffa2

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.305228Z digest=sha256:6aabc6ef537ee72a2ec530007fdf5dc3e63fef5b68b8f5e2f6544572ba6ec495

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=sha256:2f3e46460d7c7aa2bec854bb4398585cbaf71bcf779862082c8361ef21612217

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=sha256:84f9fcd4787208577410a2c513fd5786c18c1ccdafdb66b0ec1d65a0fb08e883

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.321851Z digest=sha256:b533097d30253c9e4ab21e9bd1b2961ce93fb106cb37c859d6040ca9807d3aa5

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.327024Z digest=sha256:f79b4790ea3cfbd47a3afea4daae94616f60ed24f68dbc0b2940e1312df789ff

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.339134Z digest=sha256:bbb31235ed7056e25c88df62adef4b792d37b6d09acb34cb526c15ba024c93cf

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

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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

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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

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

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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

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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

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T14:09:08.389049Z digest=sha256:dca551608d5a44a9869f01234166229eea200571ae370bbb0f40e42c4ed98b8e

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

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Unavailable: canonical work link unavailable.

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

This paper cites @esa (Ref.

Safe PDE Boundary Control with Neural Operators @esa (Ref

Reference 83

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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

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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

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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

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arxiv_id, observed 2026-05-11T16:11:10.914292Z

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