Paper Citation Record · LEDGER

Multiple Physics Pretraining for Physical Surrogate Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2310.02994.

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

pith.paper-citation-record.v1
2310.02994 v2

Coverage vector

measured 0 of 0 reference resolution

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measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:30:39.807083Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:24:00.997379Z

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Outbound references

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Pith citing papers

Observation f4f38b1e-602a-47ef-8741-bf169ed9b61c · inbound

NeuralDEM -- Real-time Simulation of Industrial Particulate Flows cites this paper.

NeuralDEM -- Real-time Simulation of Industrial Particulate Flows Multiple Physics Pretraining for Physical Surrogate Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T20:27:30.541862Z

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Unavailable: canonical work link unavailable.

Observation 8c30b75a-648c-4fa6-b330-88fb127bea3f · inbound

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning cites this paper.

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Multiple Physics Pretraining for Physical Surrogate Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T05:16:55.272444Z

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Observation 4fc87ff1-3c54-47bf-925e-6fe9c35dc2ba · inbound

MATEY: multiscale adaptive foundation models for spatiotemporal physical systems cites this paper.

MATEY: multiscale adaptive foundation models for spatiotemporal physical systems Multiple Physics Pretraining for Physical Surrogate Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:20:52.262740Z

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Observation 327b89b8-2919-4c97-9f59-762adfcbb6c9 · inbound

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics cites this paper.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Multiple Physics Pretraining for Physical Surrogate Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T21:55:52.748491Z

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Observation b47a1a50-dc4e-497d-b436-7f5a863bc022 · inbound

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture cites this paper.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Multiple Physics Pretraining for Physical Surrogate Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.603073Z

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Observation 976070ee-ee96-44c8-aa5a-559bee5d0e23 · inbound

Machine learning for modelling unstructured grid data in computational physics: a review cites this paper.

Machine learning for modelling unstructured grid data in computational physics: a review Multiple Physics Pretraining for Physical Surrogate Models

Reference 250

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:41.502178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e373c40-4210-406f-9031-231944716a0f · inbound

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution cites this paper.

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution Multiple Physics Pretraining for Physical Surrogate Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:26.412716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14bdc1aa-92be-4074-9a4f-fbbcdaf077c9 · inbound

Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models cites this paper.

Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models Multiple Physics Pretraining for Physical Surrogate Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:23.062221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acad507e-5144-41d1-b09f-2d99d78fe08d · inbound

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit cites this paper.

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit Multiple Physics Pretraining for Physical Surrogate Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:09:21.583016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da480e7-b38c-44af-b6f3-d187c0ed91ba · inbound

Scale-Consistent Learning for Partial Differential Equations cites this paper.

Scale-Consistent Learning for Partial Differential Equations Multiple Physics Pretraining for Physical Surrogate Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:42.320682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a5b7ad-d48e-4a38-90fd-240dba5555d8 · inbound

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations cites this paper.

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations Multiple Physics Pretraining for Physical Surrogate Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:52.886379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfcd53c6-3507-4b2a-bd5d-12b292bd6593 · inbound

Towards a Physics Foundation Model cites this paper.

Towards a Physics Foundation Model Multiple Physics Pretraining for Physical Surrogate Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:32:58.698197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f212b1-0a2a-44a8-af4f-9ad4eda950e8 · inbound

Flow marching for a generative PDE foundation model cites this paper.

Flow marching for a generative PDE foundation model Multiple Physics Pretraining for Physical Surrogate Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:51:25.497762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 016447db-68ac-4382-8178-26cd98dcdeef · inbound

Latent Generative Solvers for Generalizable Long-Term Physics Simulation cites this paper.

Latent Generative Solvers for Generalizable Long-Term Physics Simulation Multiple Physics Pretraining for Physical Surrogate Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T05:22:22.601086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1333579e-5687-44a1-9639-4adcf4519cdb · inbound

A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems cites this paper.

A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems Multiple Physics Pretraining for Physical Surrogate Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:17.079279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca14fda8-dbb2-4da9-8020-91e29d619f92 · inbound

A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting cites this paper.

A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting Multiple Physics Pretraining for Physical Surrogate Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:14:46.535576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6980c57a-9550-4b0b-9172-cf20860cd8a6 · inbound

AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training cites this paper.

AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training Multiple Physics Pretraining for Physical Surrogate Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:03:46.668577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b99f8e7e-6c0d-4fdc-bbbc-8bd8e3f239fc · inbound

Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning cites this paper.

Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning Multiple Physics Pretraining for Physical Surrogate Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:34:42.686782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc88f2aa-2638-4a60-9625-f80cd6ee3e34 · inbound

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers cites this paper.

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers Multiple Physics Pretraining for Physical Surrogate Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.998925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f40782b-0c2c-4a70-8619-c33294da6b45 · inbound

Neural operator discovery from heterogeneous trajectories cites this paper.

Neural operator discovery from heterogeneous trajectories Multiple Physics Pretraining for Physical Surrogate Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T23:47:28.083363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 304be9c2-c1c4-407b-808b-a3698cb3b744 · inbound

Materials Behavior as Mechanism Ensembles: A Probabilistic Framework for Emergent Behaviors cites this paper.

Materials Behavior as Mechanism Ensembles: A Probabilistic Framework for Emergent Behaviors Multiple Physics Pretraining for Physical Surrogate Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-30T10:34:45.318675Z

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Observation fca2db98-1d86-4e25-84b3-9c883a55a259 · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Multiple Physics Pretraining for Physical Surrogate Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T04:31:48.910538Z

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Unavailable: canonical work link unavailable.

Observation 5a267371-fa31-4edd-806b-2deda284579d · inbound

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning cites this paper.

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning Multiple Physics Pretraining for Physical Surrogate Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T00:16:45.680684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eaece54-9ec6-4e39-bcb7-b3fef13afb6b · inbound

Kernel Methods for Learning Operators with Multiple Inputs and Outputs cites this paper.

Kernel Methods for Learning Operators with Multiple Inputs and Outputs Multiple Physics Pretraining for Physical Surrogate Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:30:39.807083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.