Paper Citation Record · LEDGER

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2504.19496.

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

pith.paper-citation-record.v1
2504.19496 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:57:49.551381Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:00:10.612033Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:48:23.015056Z

Reference resolution

67 of 67 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ef4e091-011d-462d-b761-0c58daddc78f · outbound

This paper cites write newline.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423f062e-0436-4077-be71-34228fce2c3c · outbound

This paper cites Hyperfno: Improving the generalization behavior of fourier neural operators.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Hyperfno: Improving the generalization behavior of fourier neural operators

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.343005Z

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Observation 88f912c9-17ce-4355-b190-5f49509e0cea · outbound

This paper cites an unresolved cited work.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.298587Z

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Observation ee091c6f-3e50-4b75-bc60-fc55b3affbd0 · outbound

This paper cites Interpretable Meta-Learning of Physical Systems.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Interpretable Meta-Learning of Physical Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.302810Z

Source-reported events for the cited work

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Observation 571e2f69-4e0d-4381-8c54-75755d312c68 · outbound

This paper cites and Shampine, L.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction and Shampine, L

Reference 5

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Observation 7706313a-ced6-4ed5-9829-d2355a572b88 · outbound

This paper cites A Mathematical Guide to Operator Learning.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction A Mathematical Guide to Operator Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.312407Z

Source-reported events for the cited work

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Observation 41ca8e1b-1154-479a-80bc-dd392416d7e3 · outbound

This paper cites E., and Welling, M.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction E., and Welling, M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.302638Z

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Observation 7b213e43-24c3-4734-bbcb-c16e057fb612 · outbound

This paper cites an unresolved cited work.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.320634Z

Source-reported events for the cited work

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Observation 221ba712-4606-4670-bb28-d2a91fdb4359 · outbound

This paper cites J., Vasil, G.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction J., Vasil, G

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.282465Z

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Observation b35ffb83-e879-45f1-a429-fa5383e0b30d · outbound

This paper cites Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.269638Z

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Observation 96b2c37c-515e-47e1-9ab8-e5ee1fb33e9e · outbound

This paper cites Vicon: Vision in-context operator networks for multi-physics fluid dynamics prediction.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Vicon: Vision in-context operator networks for multi-physics fluid dynamics prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.332867Z

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Observation 5ed15fca-2f8a-4fd2-9a96-7a0826cdffd1 · outbound

This paper cites T., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction T., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.336755Z

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Observation 2f3e5766-99e9-4a4a-9e77-44702f34510b · outbound

This paper cites The Llama 3 Herd of Models.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction The Llama 3 Herd of Models

Reference 13

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Observation 9d1b0f02-267a-4dd9-8bd3-48cb60dfbe64 · outbound

This paper cites A., Marcus, P., Prabhat, M., Anandkumar, A., et al.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction A., Marcus, P., Prabhat, M., Anandkumar, A., et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.250169Z

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Observation eda43423-10a9-455c-8920-1b93d98344f3 · outbound

This paper cites an unresolved cited work.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Unresolved cited work

Reference 15

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Observation 61915bbc-2211-4328-8b47-75a3e98c6a84 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Model-agnostic meta-learning for fast adaptation of deep networks

Reference 16

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Observation 38b0d7b3-b31b-4c8d-8d07-928d23fa90bf · outbound

This paper cites Neural partial differential equations for chaotic systems.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Neural partial differential equations for chaotic systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.217294Z

Source-reported events for the cited work

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Observation 4935ba59-7aba-4df8-90e7-2b0c47ddc6dc · outbound

This paper cites HyperNetworks.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction HyperNetworks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.356314Z

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Observation 24e04327-8731-4368-b05c-7e53f3187a22 · outbound

This paper cites DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.361250Z

Source-reported events for the cited work

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Observation c82756f8-65a8-43a7-a979-9f9828bc636d · outbound

This paper cites Gaussian Error Linear Units (GELUs).

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Gaussian Error Linear Units (GELUs)

Reference 20

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Observation c89d34a0-006f-43f2-ad05-44b469f3cc71 · outbound

This paper cites Poseidon: Efficient Foundation Models for PDEs.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Poseidon: Efficient Foundation Models for PDEs

Reference 21

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Observation 90e4e7b2-8a4e-4a98-b2aa-772f7881d456 · outbound

This paper cites phiflow: A differentiable P D E solving framework for deep learning via physical simulations.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction phiflow: A differentiable P D E solving framework for deep learning via physical simulations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.204795Z

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Observation 65e3701c-24ba-4129-8a8b-32a495d3862c · outbound

This paper cites Learning Neural PDE Solvers with Convergence Guarantees.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Learning Neural PDE Solvers with Convergence Guarantees

Reference 23

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Observation 16abbedd-3e1a-4195-8bf8-678f30cd6bac · outbound

This paper cites E., Kevrekidis, I.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction E., Kevrekidis, I

Reference 24

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Observation f085cd12-9357-46b6-a0b1-4017ca1c24e9 · outbound

This paper cites I., Mandli, K., Ahmadia, A.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction I., Mandli, K., Ahmadia, A

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.182849Z

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Observation 2ddbe6ca-90e2-44f4-af9f-37bb4fae9c09 · outbound

This paper cites O n N eural D ifferential E quations.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction O n N eural D ifferential E quations

Reference 26

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Observation 08dcfde7-6678-448e-bcd2-f3574fc0829c · outbound

This paper cites Generalizing to new physical systems via context-informed dynamics model.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Generalizing to new physical systems via context-informed dynamics model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.393715Z

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Observation 77452e83-1c05-4840-805b-114fe292b104 · outbound

This paper cites A., Alieva, A., Wang, Q., Brenner, M.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction A., Alieva, A., Wang, Q., Brenner, M

Reference 28

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Observation e5d2638a-ef3f-4eec-bf6a-7946f3ee5c9c · outbound

This paper cites Benchmarking autoregressive conditional diffusion models for turbulent flow simulation.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Benchmarking autoregressive conditional diffusion models for turbulent flow simulation

Reference 29

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Observation 6788a362-fc12-4316-8ed5-1e76bd9f172a · outbound

This paper cites GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

Reference 30

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Observation c518ce46-0ffa-410e-803c-eec0505eebf0 · outbound

This paper cites Neural operator: Learning maps between function spaces with applications to P D E s.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Neural operator: Learning maps between function spaces with applications to P D E s

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.141214Z

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Observation bd818d4d-4953-41f0-99a5-cae7b1ac26b5 · outbound

This paper cites Rediscovering orbital mechanics with machine learning.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rediscovering orbital mechanics with machine learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.130002Z

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

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Fourier Neural Operator for Parametric Partial Differential Equations

Reference 33

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This paper cites A survey of transformers.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction A survey of transformers

Reference 34

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Observation d792cf47-06e5-49b6-9dcd-15e74f6a738a · outbound

This paper cites Generative ODE modeling with known unknowns.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Generative ODE modeling with known unknowns

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.109083Z

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Observation c0029d66-70f5-4490-89f0-82cb31001c0a · outbound

This paper cites A., and Cantwell, C.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction A., and Cantwell, C

Reference 36

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Observation 30a63dd2-a776-4d09-8861-5f72a1ae3dcf · outbound

This paper cites W., Erichson, N.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction W., Erichson, N

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.091013Z

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Observation 73ff0004-32b9-4756-b276-bb3b69031504 · outbound

This paper cites Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics

Reference 38

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Observation 128439a8-8a0d-471e-ad07-c9e0964817d1 · outbound

This paper cites Neural Operators with Localized Integral and Differential Kernels.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Neural Operators with Localized Integral and Differential Kernels

Reference 39

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Observation 095193dd-a860-4243-bcfb-9c83452236ec · outbound

This paper cites Pde-net: Learning pdes from data.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Pde-net: Learning pdes from data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.071651Z

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Observation b72dc13b-7996-4600-83c7-cf16013923cd · outbound

This paper cites A wavelet tour of signal processing.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction A wavelet tour of signal processing

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.062069Z

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Observation ee696368-6c88-4287-bceb-31cf16033d31 · outbound

This paper cites Towards Stability of Autoregressive Neural Operators.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Towards Stability of Autoregressive Neural Operators

Reference 42

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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction R.-S., Parker, L

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.050893Z

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Observation 1fbb6ed8-f09a-417a-a705-fba9e9248fe3 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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Observation 1d0fb8cc-2d52-4e80-9b90-40e664e9469e · outbound

This paper cites Self-supervised learning with lie symmetries for partial differential equations.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Self-supervised learning with lie symmetries for partial differential equations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.039116Z

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Observation f5d7e46e-7115-444f-b5e6-dbffb201091e · outbound

This paper cites The well: a large-scale collection of diverse physics simulations for machine learning.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction The well: a large-scale collection of diverse physics simulations for machine learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:50.027443Z

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Observation 0d72390b-ded6-4029-8ae0-0b08d877c519 · outbound

This paper cites Physics-Driven Convolutional Autoencoder Approach for CFD Data Compressions.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Physics-Driven Convolutional Autoencoder Approach for CFD Data Compressions

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.470453Z

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This paper cites Pytorch: An imperative style, high-performance deep learning library.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Pytorch: An imperative style, high-performance deep learning library

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This paper cites Learning Mesh-Based Simulation with Graph Networks.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Learning Mesh-Based Simulation with Graph Networks

Reference 49

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This paper cites U-net: Convolutional networks for biomedical image segmentation.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction U-net: Convolutional networks for biomedical image segmentation

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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction and Haber, E

Reference 51

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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Zebra: In-Context Generative Pretraining for Solving Parametric PDEs

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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Pdebench: An extensive benchmark for scientific machine learning

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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction and Pratt, L

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:49.987598Z

Source-reported events for the cited work

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Observation a783b116-a774-4f9a-a160-68ebef771d29 · outbound

This paper cites The information bottleneck method.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction The information bottleneck method

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.501904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef56972-5b8d-4389-80e7-a6781afa02a0 · outbound

This paper cites F., Spruce, M., and Speares, W.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction F., Spruce, M., and Speares, W

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:49.975644Z

Source-reported events for the cited work

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

Observation a23bd743-bb48-4658-a966-a699bb5a9438 · outbound

This paper cites Towards the ultimate conservative difference scheme.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Towards the ultimate conservative difference scheme

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:49.964135Z

Source-reported events for the cited work

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

Observation f737b46b-bad9-4cfd-b270-e85e71a08d4d · outbound

This paper cites N., Kaiser, L.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction N., Kaiser, L

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.511630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67936f9-66a9-4891-82cd-6ccd905ac9b0 · outbound

This paper cites ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.515114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af06b7c-fa70-4525-9b92-f3d81d7a22f3 · outbound

This paper cites Meta-learning dynamics forecasting using task inference.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Meta-learning dynamics forecasting using task inference

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.522650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70132392-d57d-45ed-975e-ffd559d09b1a · outbound

This paper cites and He, K.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction and He, K

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.526978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303050de-e1d3-4b18-be8a-2bf404fa6f9f · outbound

This paper cites Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.530535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d96c36-4b41-475a-97ea-242a09bd3b2d · outbound

This paper cites PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.534114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04cd735-8d42-4a00-a817-3feab44a15f0 · outbound

This paper cites an unresolved cited work.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:49.538885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79aa16aa-9dd2-4ec2-b210-b6add8d99849 · outbound

This paper cites Deciphering and integrating invariants for neural operator learning with various physical mechanisms.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Deciphering and integrating invariants for neural operator learning with various physical mechanisms

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:49.918906Z

Source-reported events for the cited work

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

Observation 80d521fc-bb68-4588-a99d-5c861f9f436d · outbound

This paper cites Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:49.907763Z

Source-reported events for the cited work

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

Observation 1ddc5714-28b1-482b-85d0-118f67ac73cd · outbound

This paper cites I., Wolf, E.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction I., Wolf, E

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:57:49.896509Z

Source-reported events for the cited work

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

Pith citing papers

Observation 0af15249-29d2-4d04-b2a2-3058963c53d5 · inbound

Generative Latent Space Dynamics of Electron Density cites this paper.

Generative Latent Space Dynamics of Electron Density DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.612033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e97a95-adb4-46fd-b402-450fb0082090 · inbound

MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data cites this paper.

MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:48:23.017090Z

Source-reported events for the cited work

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