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Paper Citation Record · LEDGER

TRIE: An Evaluation Framework for Stochastic PDE Surrogates

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.00196.

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

pith.paper-citation-record.v1
2607.00196 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T19:38:41.569416Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d01df9b-3eea-4149-84bd-3a81456721f5 · outbound

This paper cites Stochastic interpolants: A unifying framework for flows and diffusions.Journal of Machine Learning Research, 26(209): 1–80.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Stochastic interpolants: A unifying framework for flows and diffusions.Journal of Machine Learning Research, 26(209): 1–80

Reference 1

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Source-reported events for the cited work

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Observation 9f137837-6125-41c2-8cc3-133601040ebb · outbound

This paper cites Stochastic interpolants with data-dependent couplings.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Stochastic interpolants with data-dependent couplings

Reference 2

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verified exact
arxiv_id, observed 2026-07-02T19:47:18.911403Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 20c50b90-4f46-4d49-85ab-3ecd397d54ff · outbound

This paper cites Stochastic model for power grid dy- namics.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Stochastic model for power grid dy- namics

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 060d910f-1e79-4352-8d19-81f06bbf69a4 · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.894105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:95b48da52c2baa015524a34a0e7ceaa24f930e97d117c5c9e913c4aef974a4c7

Observation f58f3400-e112-4d8e-a67a-be78f5236636 · outbound

This paper cites Probabilistic Forecasting with Stochastic Interpolants and F\"ollmer Processes.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Probabilistic Forecasting with Stochastic Interpolants and F\"ollmer Processes

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:47:18.914806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:7ff9e108eb3bbfcf4ee28a26c54ca43a0f52634bf491e0d7e93ed571032f9e3d

Observation e6eea7d0-93ab-470d-807b-6f0e53ad0dbd · outbound

This paper cites Random attractors.Journal of Dynamics and Differential Equations, 9(2):307–341, 1997.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Random attractors.Journal of Dynamics and Differential Equations, 9(2):307–341, 1997

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.890611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:e1c1dac97f15ece0f88a802a054dd075adea93a5d5c38a6e19ffede9d56afeda

Observation 9b88fc9e-bd1d-4108-b9a6-aa05fb0bdc34 · outbound

This paper cites Pattern formation outside of equilibrium.Reviews of modern physics, 65(3):851, 1993.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Pattern formation outside of equilibrium.Reviews of modern physics, 65(3):851, 1993

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.929693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 99ebef9b-6380-4952-8dfb-11ca12656b10 · outbound

This paper cites Unreliable uncertainty estimates with monte carlo dropout.arXiv preprint arXiv:2512.14851,.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Unreliable uncertainty estimates with monte carlo dropout.arXiv preprint arXiv:2512.14851,

Reference 8

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verified exact
arxiv_id, observed 2026-07-02T19:47:18.924275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bafeedef-417a-417f-9887-f883fca4277a · outbound

This paper cites Learning to correct spectral methods for simulating turbulent flows.Transactions on Machine Learning Research, 2023.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Learning to correct spectral methods for simulating turbulent flows.Transactions on Machine Learning Research, 2023

Reference 9

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raw_fallback, observed 2026-07-05T21:01:29.931491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e9c4bee6-11fd-47da-aca9-0d598ec328ed · outbound

This paper cites Computational galerkin methods.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Computational galerkin methods

Reference 10

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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 2026-08-21T06:32:19.484+00:00.

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Observation 53849ade-750e-468c-97ff-3108fb7696b1 · outbound

This paper cites Is MC Dropout Bayesian?.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Is MC Dropout Bayesian?

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:47:18.908097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2f0887b9-eccf-4c12-ae59-b87a92d1ebad · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.887095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:8027dfef0ae69fcefa16202624dad0124cd0056d5e9fc35d28b9703fc690b176

Observation 29f5e886-39c7-44d7-a28c-e94ed2081902 · outbound

This paper cites Generative learning for forecasting the dynamics of high-dimensional complex systems.Nature Communications, 15(1):8904, 2024.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Generative learning for forecasting the dynamics of high-dimensional complex systems.Nature Communications, 15(1):8904, 2024

Reference 13

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 807e33b1-3801-4bc3-9017-1f52ab3818ea · outbound

This paper cites Chaotic versus stochastic behavior in active-dissipative nonlinear systems.Physical Review Fluids, 2(12):124401, 2017.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Chaotic versus stochastic behavior in active-dissipative nonlinear systems.Physical Review Fluids, 2(12):124401, 2017

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e1a2cfaf-7118-4f15-91d4-eec87a035058 · outbound

This paper cites Crises, sudden changes in chaotic attractors, and transient chaos.Physica D: Nonlinear Phenomena, 7(1-3):181–200.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Crises, sudden changes in chaotic attractors, and transient chaos.Physica D: Nonlinear Phenomena, 7(1-3):181–200

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.876498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:7ee0c5732bad42f1e0a1512c34ba126f57657d12671a5fcab66c4026bfcf1e91

Observation 2bf628df-ed73-455a-a7cd-c020a16161b0 · outbound

This paper cites Ergodicity of the 2d navier-stokes equations with degenerate stochastic forcing.Annals of Mathematics, pages 993–1032, 2006.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Ergodicity of the 2d navier-stokes equations with degenerate stochastic forcing.Annals of Mathematics, pages 993–1032, 2006

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.904001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1ba6f6dd-9c39-4035-9dd7-8f6e6257f407 · outbound

This paper cites Ensemble kalman filtering without a model.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Ensemble kalman filtering without a model

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.880296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 07ecbad9-087c-4bcf-82e2-4333f3ba2adc · outbound

This paper cites PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:47:18.921193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:df2d1b036a6d97888ca195ea00b0fa0d1f03c79356e1ba06804ee521337fba7e

Observation 94d159c0-3b79-4d27-973a-c26b1c385ad5 · outbound

This paper cites Springer, 1984.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Springer, 1984

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.874650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:57f1415bf23ad3c0a8b3df89be71b3de161d3b11c93b13e94a76c65edb367e72

Observation 1a23a07e-0ceb-4ba4-b3b2-175f4e8feb2a · outbound

This paper cites Implicit rank-minimizing autoencoder.Advances in Neural Information Processing Systems, 33:14736–14746, 2020.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Implicit rank-minimizing autoencoder.Advances in Neural Information Processing Systems, 33:14736–14746, 2020

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.878514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:8c5f3e955f46e01f1269a331af017e9e035143bdfdbfc67f02c22000be71abcb

Observation fcc53cf5-dcb5-4d73-a913-4bc0c7b69aa2 · outbound

This paper cites Repellers, semi-attractors, and long-lived chaotic transients.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Repellers, semi-attractors, and long-lived chaotic transients

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.881991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:06e837351ea98248646062792afbf5b6634a8de726a48d9a77006ea72e73bb17

Observation 30b73ef7-2b77-4eb0-a491-cf375739e468 · outbound

This paper cites Nonlinear dimensionality reduction then and now: Aims for dissipative pdes in the ml era.Journal of Computational Physics, 506:112910, 2024.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Nonlinear dimensionality reduction then and now: Aims for dissipative pdes in the ml era.Journal of Computational Physics, 506:112910, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.883789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:f4776a3a409c898852b1469618eec61a5019d4360a83ec1268d7371b0990cf92

Observation 6c5bf5d5-a184-451a-b745-a137f62d67ab · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Simple and scalable predictive uncertainty estimation using deep ensembles.Advances in neural information processing systems, 30

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.873045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:4560b4d0d82cdce67fe757ffcc65b2f669f08260b2522865dfecdc19fdee7eb0

Observation f5d1690e-8d56-424d-8e5a-1dc8e043ff34 · outbound

This paper cites Ensemble forecasting.Journal of computational physics, 227(7):3515–3539, 2008.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Ensemble forecasting.Journal of computational physics, 227(7):3515–3539, 2008

Reference 24

Resolution
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raw_fallback, observed 2026-07-05T21:01:29.935120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:e9034886916dfefc8034e1c352ad221aedda5f6ae82b4ab9ef07573018ce2bd4

Observation b2d16d2d-b451-4b99-b853-b85f3d101096 · outbound

This paper cites SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-02T19:47:18.904613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:621c2a0024ef2dce50abbaac3a464e194493ad1086cb0164ae0c303835e069f6

Observation 5ffa3d18-2a00-474b-943c-ae46e97c34c4 · outbound

This paper cites Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems.Journal of Computational Physics, 474:111838, 2023.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems.Journal of Computational Physics, 474:111838, 2023

Reference 26

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raw_fallback, observed 2026-07-05T21:01:29.937238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:398b766f7dc1e52ff9384eb0cac10743e43da2bb85ef1c4ef109c3404f03daee

Observation 238a7e76-10fb-4edb-89bb-1eaf4754eef0 · outbound

This paper cites Flow match- ing for generative modeling.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Flow match- ing for generative modeling

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.927808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:2426f12a6bd31d40e886f1894f19763f4f153365593d491ad91279f7c8187208

Observation 68b9a214-602b-40c2-b480-fa71c753ef5a · outbound

This paper cites Pde- refiner: Achieving accurate long rollouts with neural pde solvers.Advances in Neural Informa- tion Processing Systems, 36:67398–67433.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Pde- refiner: Achieving accurate long rollouts with neural pde solvers.Advances in Neural Informa- tion Processing Systems, 36:67398–67433

Reference 28

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verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.933340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3b23f5a1-48a1-4e6b-905d-316f9f1f747b · outbound

This paper cites When physics meets machine learning: A survey of physics-informed machine learning.Machine Learning for Computational Science and Engineering, 1(1):20, 2025.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates When physics meets machine learning: A survey of physics-informed machine learning.Machine Learning for Computational Science and Engineering, 1(1):20, 2025

Reference 29

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raw_fallback, observed 2026-07-05T21:01:29.939144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:fd0862b881edde10f4348d10eae7b1755c95fbc403b0e2a0de46cf7a351cf6b3

Observation cc3338dc-c0e7-4e38-8029-98ac8d2d87aa · outbound

This paper cites Estimating the mean and variance of the target proba- bility distribution.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Estimating the mean and variance of the target proba- bility distribution

Reference 30

Resolution
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raw_fallback, observed 2026-07-05T21:01:29.941342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:c34e1b2feadc70ee5ba7da96063faa93c347762069232977c2756f6a1638a1f0

Observation 6e2cb1b7-bed4-45ef-b151-4f963fce7aa9 · outbound

This paper cites Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach.Physical review letters, 120(2):024102.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach.Physical review letters, 120(2):024102

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.943962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:6ee45e09f4776ef7193d4129e4a5b6b59e2c99b4fdca1275ec0da94f58b68d50

Observation 3d1f42ac-998a-4117-b7db-7b2cff6a306d · outbound

This paper cites Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos

Reference 32

Resolution
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raw_fallback, observed 2026-07-05T21:01:29.925976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:1588ca4221cdcb0d8cdc41f439c8f902843eacf072ee660fa29e75e87aa02803

Observation 25671473-c8e1-49e9-9640-87ff7fa49987 · outbound

This paper cites Expanding maps on sets which are almost invariant.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Expanding maps on sets which are almost invariant

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.918921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:c9611799ee04670f01c9a589ee835d391d1c6f644e522769ea10ab6bf94583be

Observation 400f014a-5a92-4b9c-b9c5-ad4ec7fd4c75 · outbound

This paper cites Gencast: Diffusion-based ensemble forecasting for medium-range weather.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Gencast: Diffusion-based ensemble forecasting for medium-range weather

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.920632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:3bf41c38ab7d9b1f18f3f09010c83bf5c58c4c46b30011d327457ae589fb1ea2

Observation dda166d1-4f26-44e3-8586-db5c8169c1ca · outbound

This paper cites Infinite-dimensional dynamical systems: An introduction to dissipa- tive parabolic pdes and the theory of global attractors.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Infinite-dimensional dynamical systems: An introduction to dissipa- tive parabolic pdes and the theory of global attractors

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.922365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:a29362ec4f9cb6ebc5c8e41919d3e12e58d93a847938a09c03832e63ca942762

Observation 54aefbd0-e373-4fe5-be7f-d5cc05515f63 · outbound

This paper cites Lost in latent space: An empirical study of latent diffusion models for physics emulation.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Lost in latent space: An empirical study of latent diffusion models for physics emulation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:47:18.918019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:7b71b5ab5722b389b4bed3335c39f3db3bad15b50666a299d7bcb3d4ca31b75c

Observation 782236f4-60fd-4118-a0fc-8cd12e8e1beb · outbound

This paper cites Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting.Advances in neural information processing systems, 36:45259–45287.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting.Advances in neural information processing systems, 36:45259–45287

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.924228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:97e179c6cd155c979f7a0604bdf257f87ebc4e98f8ae4553287e71270c40197d

Observation 97e2fa57-55e7-4512-b7ec-df762c807b1f · outbound

This paper cites Neural stochastic pdes: Resolution-invariant learning of continuous spatiotemporal dynamics.Advances in Neural Information Processing Systems, 35:1333–1344, 2022.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Neural stochastic pdes: Resolution-invariant learning of continuous spatiotemporal dynamics.Advances in Neural Information Processing Systems, 35:1333–1344, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.915408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:3f9a07322498947c3e5ce4f18299595079c57e337e05e1de120b0233b807ae2f

Observation a011e6d6-226d-4419-8049-7df8737f762c · outbound

This paper cites Chapman and Hall/CRC.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Chapman and Hall/CRC

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.917104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:791c5b45cd7f403c43af5dec23d0ea05019f7512176bae20936f2dd2d31d3f2f

Observation 40b38fe5-a73e-48b5-99a6-72b780892fdd · outbound

This paper cites Elsevier, 1992.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Elsevier, 1992

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.909996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:5c924ce3a1023e4b3508bc55a1a0a7485cb9fea308ce906ffef0b322890d3288

Observation 5b4c2a98-8b1a-44d8-8a53-4284611a4011 · outbound

This paper cites Springer, 2005.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Springer, 2005

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.913023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:fe4d8191eb4fec17a3332207fb6260e5e6c16cddca5fa98185ca65600f47d2b9

Observation 68456dc9-ed12-480d-97ee-2796b5235cf9 · outbound

This paper cites Diffcast: A unified framework via residual diffusion for precipitation nowcasting.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Diffcast: A unified framework via residual diffusion for precipitation nowcasting

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.908094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:a016b543561e9d2ac93cc6989fa6ccf83fce994bbba30884a1b9958a115fc601

Observation 5ab15e05-a7a1-4899-a915-8832e77d2e35 · outbound

This paper cites Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems.

TRIE: An Evaluation Framework for Stochastic PDE Surrogates Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T21:01:29.905840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T19:38:41.569416Z digest=sha256:cb7fa77755d6a5f70bdc6f28b12d237d07820c8a23e036a2f60d3454272bc21f

Pith citing papers

No inbound Pith citation observations are available.