Paper Citation Record · LEDGER

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations

As of 3 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.21644.

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

pith.paper-citation-record.v1
2607.21644 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:24:23.244948Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy0
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bd6d81e-f946-42d6-a093-ff146559aadf · outbound

This paper cites Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:18.869101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52615121-8de7-49ad-b611-26fa6fe76b50 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:18.974957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f23c44c-3b16-4af9-b6ff-abef64ea8aff · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.075362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624d6892-3c89-41c2-8236-b927b74e6679 · outbound

This paper cites PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.160677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c93e5fe-b9b6-4e7b-87f0-a23382f7567a · outbound

This paper cites Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.233091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cbc369b-7eca-49b6-9b86-5417d2145b33 · outbound

This paper cites Brunton and Bernd R.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Brunton and Bernd R

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.341268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52456eab-123c-414d-937f-b9d97acef4d0 · outbound

This paper cites Control of chaotic systems by deep reinforcement learning.Proceedings of the Royal Society A, 475(2231):20190351, 2019.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Control of chaotic systems by deep reinforcement learning.Proceedings of the Royal Society A, 475(2231):20190351, 2019

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.469100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94947db7-0f67-4be9-adf3-860db2add405 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.638956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bb9367-a00e-405d-b783-84662c162df8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.980922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e8e1f57-25cc-46ec-aaa9-55f4a3b80c4c · outbound

This paper cites Nikovski.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Nikovski

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.133279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3af199-b993-48b7-8e05-23d68dde68c6 · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Bootstrap your own latent: A new approach to self-supervised Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.241256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62237065-838b-4c82-9c75-b427ea872332 · outbound

This paper cites World Models.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations World Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.375472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe563da-85a9-46bb-bc7f-4e99e465e7df · outbound

This paper cites Learning Latent Dynamics for Planning from Pixels.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Learning Latent Dynamics for Planning from Pixels

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.536041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f782e11-75b7-40cb-b307-2e2cd5d2c278 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Dream to Control: Learning Behaviors by Latent Imagination

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.662162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42a18446-7aa8-464e-8d94-6ef3f37aafbe · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Temporal Difference Learning for Model Predictive Control

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.765658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21acdf43-d212-476a-b740-419612ea0d07 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.848795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b163902f-0659-4f51-9e58-760996548919 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Masked Autoencoders Are Scalable Vision Learners

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:20.924127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a916ce4-3403-433a-84cf-ac19e4fe59bc · outbound

This paper cites Learning to Control PDEs with Differentiable Physics.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Learning to Control PDEs with Differentiable Physics

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.040056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5d7f0e-d82a-4d23-aeb1-fe24d9a9c711 · outbound

This paper cites Solving PDE-constrained Control Problems Using Operator Learning.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Solving PDE-constrained Control Problems Using Operator Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.150291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e7ef690-1017-4822-91ca-6e32d741d513 · outbound

This paper cites Nathan Kutz, and Steven L.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Nathan Kutz, and Steven L

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.294831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36534135-e512-4dd4-a320-d9711aa0f257 · outbound

This paper cites Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control.Automatica, 93:149–160, 2018.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control.Automatica, 93:149–160, 2018

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.405128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a701843-3931-4ccb-8f52-1b1086960049 · outbound

This paper cites A path towards autonomous machine intelligence, 2022.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations A path towards autonomous machine intelligence, 2022

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.481038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153d010e-76aa-457b-970e-53c095d58366 · outbound

This paper cites Nathan Kutz, and Steven L.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Nathan Kutz, and Steven L

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.591893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ad13572-5309-4050-afcd-0449615a5364 · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.674147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67fd0b7-3b50-4727-9527-c1f7ae93cc92 · outbound

This paper cites Deep Dynamical Modeling and Control of Unsteady Fluid Flows.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Deep Dynamical Modeling and Control of Unsteady Fluid Flows

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.741593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18fbac27-229e-4980-9747-8cc0fe8dfd0c · outbound

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

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Optimal control of PDEs using physics-informed neural networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:21.851400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4777da-1057-4f7f-9c32-ae60088375e5 · outbound

This paper cites Koopman operator-based model reduction for switched-system control of PDEs.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Koopman operator-based model reduction for switched-system control of PDEs

Reference 27

Resolution: verified exact; doi, observed 2026-08-01T12:29:09.531959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5d039932-c9dc-4241-a06f-579dc7306196 · outbound

This paper cites Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control.Journal of Fluid Mechanics, 865:281–302, 2019.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control.Journal of Fluid Mechanics, 865:281–302, 2019

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.033716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3af2b0-704d-4757-8815-d2a8ab73d930 · outbound

This paper cites SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.112169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 140ab538-9438-4a25-bf96-945a5dd840fe · outbound

This paper cites Mastering Atari, Go, chess and shogi by planning with a learned model.Nature, 588:604–609, 2020.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Mastering Atari, Go, chess and shogi by planning with a learned model.Nature, 588:604–609, 2020

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.223652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d98a4acf-cbf8-4d0c-8755-b12ffb37108a · outbound

This paper cites Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.294094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26b77572-53bf-42d9-bf3d-2498a25b4e5b · outbound

This paper cites Efficient collective swimming by harnessing vortices through deep reinforcement learning.Proceedings of the National Academy of Sciences, 115(23):5849–5854, 2018.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Efficient collective swimming by harnessing vortices through deep reinforcement learning.Proceedings of the National Academy of Sciences, 115(23):5849–5854, 2018

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.401484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c91d257-f2bd-4292-a6d2-c716647ba9d3 · outbound

This paper cites an unresolved cited work.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.511715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb43886-f514-4f37-875a-1bc054466d39 · outbound

This paper cites Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.638417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f6dd2a7-3f22-45fd-952c-591384aa9e72 · outbound

This paper cites DiffPhyCon: A Generative Approach to Control Complex Physical Systems.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations DiffPhyCon: A Generative Approach to Control Complex Physical Systems

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.717691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 010ced25-a7a9-4714-b4d9-1f41fce05a73 · outbound

This paper cites Rehg, Byron Boots, and Evangelos A.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Rehg, Byron Boots, and Evangelos A

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.843526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9fbf0f6-51ae-4417-8df1-c7f75723480f · outbound

This paper cites Learning to Accelerate Partial Differential Equations via Latent Global Evolution.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Learning to Accelerate Partial Differential Equations via Latent Global Evolution

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:22.990789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d59dbb2-8fe1-453f-80fe-b01e42d6b271 · outbound

This paper cites Delta-JEPA: Learning Action-Sensitive World Models via Latent Difference Decoding.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Delta-JEPA: Learning Action-Sensitive World Models via Latent Difference Decoding

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:23.106713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a29d8ab-749b-4c24-a585-eac727853466 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:23.244948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abc4200c-3b4d-4083-9bab-476918bbe190 · outbound

This paper cites Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-01T12:24:19.815869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.