Paper Citation Record · LEDGER

PhysiX: A Foundation Model for Physics Simulations

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 14 inbound Pith citation observations for arXiv:2506.17774.

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

pith.paper-citation-record.v1
2506.17774 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:06:00.240481Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:41:11.527694Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:06:23.756878Z

Reference resolution

65 of 65 outbound references displayed

verified exact0
verified fuzzy25
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63cf5121-2772-4e36-a773-8c4c63f7e414 · outbound

This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.

PhysiX: A Foundation Model for Physics Simulations YouTube-8M: A Large-Scale Video Classification Benchmark

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.961741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ec5d055-9440-4498-a969-f308fa743986 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

PhysiX: A Foundation Model for Physics Simulations Cosmos World Foundation Model Platform for Physical AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.966786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b2063d-5a44-44bf-8a5d-153ebdf40600 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

PhysiX: A Foundation Model for Physics Simulations Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.971129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2e118ee-d7d9-4a8f-bb3b-18abe1043290 · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

PhysiX: A Foundation Model for Physics Simulations Lumiere: A space-time diffusion model for video generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.974751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da56252f-2374-4c0e-b944-2eb497647064 · outbound

This paper cites Implicit adaptive mesh refinement for dispersive tsunami propagation.

PhysiX: A Foundation Model for Physics Simulations Implicit adaptive mesh refinement for dispersive tsunami propagation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.887297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 384a6c7a-1898-4626-82b6-ccd871087866 · outbound

This paper cites Large-scale pde-constrained optimization: an introduction.

PhysiX: A Foundation Model for Physics Simulations Large-scale pde-constrained optimization: an introduction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.876419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4701279e-5002-4a4e-ab67-1eb962c4817c · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

PhysiX: A Foundation Model for Physics Simulations On the Opportunities and Risks of Foundation Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.985975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9482d71a-8fbb-486b-bbfe-8e14b79d40f8 · outbound

This paper cites Message Passing Neural PDE Solvers.

PhysiX: A Foundation Model for Physics Simulations Message Passing Neural PDE Solvers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.989431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dcab64f-d1fa-43cc-8642-0bf186c6cd83 · outbound

This paper cites Language models are few-shot learners.

PhysiX: A Foundation Model for Physics Simulations Language models are few-shot learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.993183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0ee368-73fc-4902-b7df-de24e30c5354 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

PhysiX: A Foundation Model for Physics Simulations A simple framework for contrastive learning of visual representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:59.996576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b5780a1-1c8f-41e2-966b-49471ed53b5f · outbound

This paper cites Recent advances and applications of deep learning methods in materials science.

PhysiX: A Foundation Model for Physics Simulations Recent advances and applications of deep learning methods in materials science

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.000023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f3021c-c7ec-4001-a025-723c76a03fda · outbound

This paper cites The frontier of simulation-based inference.

PhysiX: A Foundation Model for Physics Simulations The frontier of simulation-based inference

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.003818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3c2593-e49e-4fb8-9a80-cb52c59ce1fb · outbound

This paper cites Overview of the coupled model intercomparison project phase 6 (cmip6) experimental design and organization.

PhysiX: A Foundation Model for Physics Simulations Overview of the coupled model intercomparison project phase 6 (cmip6) experimental design and organization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.839634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbcff9db-e7d8-49f5-9f2c-6915bfd366a6 · outbound

This paper cites Deep learning- based surrogate models for parametrized pdes: Handling geometric variability through graph neural networks.

PhysiX: A Foundation Model for Physics Simulations Deep learning- based surrogate models for parametrized pdes: Handling geometric variability through graph neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.828377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68ad0be3-17df-439a-a9ac-3915aaf6d4c7 · outbound

This paper cites Make-a-scene: Scene-based text-to-image generation with human priors.

PhysiX: A Foundation Model for Physics Simulations Make-a-scene: Scene-based text-to-image generation with human priors

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.817002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9680a6ed-4149-4c36-86ec-7f5a2fcf2fbd · outbound

This paper cites Numerical simulations of convective three-dimensional red supergiant envelopes.

PhysiX: A Foundation Model for Physics Simulations Numerical simulations of convective three-dimensional red supergiant envelopes

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.805151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b61e6e1-39db-47f7-9b5a-0363be4cc851 · outbound

This paper cites Plasma surrogate modelling using fourier neural operators.

PhysiX: A Foundation Model for Physics Simulations Plasma surrogate modelling using fourier neural operators

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.793575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccba5998-64ae-4b76-ab1a-2a7ab2b1aa3a · outbound

This paper cites Towards Multi-spatiotemporal-scale Generalized PDE Modeling.

PhysiX: A Foundation Model for Physics Simulations Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.038510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1681e5f6-f992-42d6-8ec7-aad164cda25b · outbound

This paper cites A physics- informed deep learning framework for inversion and surrogate modeling in solid mechanics.

PhysiX: A Foundation Model for Physics Simulations A physics- informed deep learning framework for inversion and surrogate modeling in solid mechanics

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.044021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bea40862-e2d3-4cd9-b162-d433bdd4d949 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

PhysiX: A Foundation Model for Physics Simulations Momentum contrast for unsupervised visual representation learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.051392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395b9fc7-115a-4ef3-adb6-c917f0235cfa · outbound

This paper cites Video diffusion models.

PhysiX: A Foundation Model for Physics Simulations Video diffusion models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.055978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 198ce466-8cda-46d7-ac0f-a7b3f55b66a0 · outbound

This paper cites Physics-informed machine learning.

PhysiX: A Foundation Model for Physics Simulations Physics-informed machine learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.059854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86808f3b-f425-4143-b3ab-0beb8e5a1d73 · outbound

This paper cites Transfer learning for medical image classification: a literature review.

PhysiX: A Foundation Model for Physics Simulations Transfer learning for medical image classification: a literature review

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.063779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f6951d-d5d5-43fd-9627-b0cc738a765f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PhysiX: A Foundation Model for Physics Simulations Adam: A Method for Stochastic Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.070238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 356060fc-97f1-4e4b-831c-5aaa4a6be716 · outbound

This paper cites Learning operators with coupled attention.

PhysiX: A Foundation Model for Physics Simulations Learning operators with coupled attention

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.074396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b98dcecc-851f-4a82-8aaf-0015a19a7d74 · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

PhysiX: A Foundation Model for Physics Simulations VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.078617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6725e2-3124-4766-8aae-1a277a1a39fa · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

PhysiX: A Foundation Model for Physics Simulations HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.083479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8f2b158-5ef9-4b9c-8a7f-430aac60a51c · outbound

This paper cites Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M.

PhysiX: A Foundation Model for Physics Simulations Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.745987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6505f8ba-ae06-47bd-b63a-b160dd8e497a · outbound

This paper cites SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering.

PhysiX: A Foundation Model for Physics Simulations SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.092510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684d161f-dcbb-44a4-8174-83f096c2e519 · outbound

This paper cites Transformer for Partial Differential Equations' Operator Learning.

PhysiX: A Foundation Model for Physics Simulations Transformer for Partial Differential Equations' Operator Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.098819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f1b4ac-c321-4cd8-a9bd-dfd212f4c6d6 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

PhysiX: A Foundation Model for Physics Simulations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.103107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 558e2a55-babb-48e1-a19d-e4e3f99b9d94 · outbound

This paper cites Fourier neural operator for parametric partial differen- tial equations.

PhysiX: A Foundation Model for Physics Simulations Fourier neural operator for parametric partial differen- tial equations

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.735136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b015c4d-1e34-4b6c-a841-401a3b47beb7 · outbound

This paper cites Pde- refiner: Achieving accurate long rollouts with neural pde solvers.

PhysiX: A Foundation Model for Physics Simulations Pde- refiner: Achieving accurate long rollouts with neural pde solvers

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.725329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4300d65-b4e1-4b45-8df0-6e8b14a95194 · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

PhysiX: A Foundation Model for Physics Simulations DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.115077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e4b67b-8f26-4fcf-828f-f2727d73fb10 · outbound

This paper cites Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.

PhysiX: A Foundation Model for Physics Simulations Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.121239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccce2f0e-660b-466c-a5fd-490d2847f0ff · outbound

This paper cites Finite scalar quantization: Vq-vae made simple.

PhysiX: A Foundation Model for Physics Simulations Finite scalar quantization: Vq-vae made simple

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.709321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7baaad0a-21f8-40e7-ad7a-5fbce3f4fa81 · outbound

This paper cites Shape optimization in fluid mechanics.

PhysiX: A Foundation Model for Physics Simulations Shape optimization in fluid mechanics

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.699202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f83d1413-280c-483f-a413-758eb044846f · outbound

This paper cites Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties.

PhysiX: A Foundation Model for Physics Simulations Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.688588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f56f4638-1aaa-45a5-8456-555193f11764 · outbound

This paper cites ClimaX: A foundation model for weather and climate.

PhysiX: A Foundation Model for Physics Simulations ClimaX: A foundation model for weather and climate

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.137833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ed8b5f-32a1-4c5e-b3a4-ccc8ee647919 · outbound

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

PhysiX: A Foundation Model for Physics Simulations The well: a large-scale collection of diverse physics simulations for machine learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.141715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9def798f-e625-4237-935b-7dea52839cf7 · outbound

This paper cites Sora: A video generation model.

PhysiX: A Foundation Model for Physics Simulations Sora: A video generation model

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.672690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7314aa4e-90fe-40ca-bdc5-bb375bf16adb · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

PhysiX: A Foundation Model for Physics Simulations DINOv2: Learning Robust Visual Features without Supervision

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.150634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa29b4f-00e2-448c-ba0e-8975a09c09c4 · outbound

This paper cites Yarn: Efficient context window extension of large language models.

PhysiX: A Foundation Model for Physics Simulations Yarn: Efficient context window extension of large language models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.661902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cae54ed6-19d9-47e2-a7be-0dc880d9304a · outbound

This paper cites Hierarchical spatio-temporal decoupling for text-to-video generation.

PhysiX: A Foundation Model for Physics Simulations Hierarchical spatio-temporal decoupling for text-to-video generation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.650923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb359e01-c5f6-4fec-8657-d45e6f9707c9 · outbound

This paper cites Learning transferable visual models from natural language supervision.

PhysiX: A Foundation Model for Physics Simulations Learning transferable visual models from natural language supervision

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.163199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aae84f5-1b6b-4489-a959-52360c386cf3 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

PhysiX: A Foundation Model for Physics Simulations Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.166806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffdc2ad3-d03f-4fab-bade-6dcb2e36e35e · outbound

This paper cites Scale-mae: A scale- aware masked autoencoder for multiscale geospatial representation learning.

PhysiX: A Foundation Model for Physics Simulations Scale-mae: A scale- aware masked autoencoder for multiscale geospatial representation learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.628164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation def99774-7fd5-43c7-9c93-82eba507b9aa · outbound

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

PhysiX: A Foundation Model for Physics Simulations U-net: Convolutional networks for biomedical image segmentation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.174007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39db3e68-0cec-4fcb-b68a-02efa685fdde · outbound

This paper cites Deep learning and density-functional theory.

PhysiX: A Foundation Model for Physics Simulations Deep learning and density-functional theory

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.610953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 322f1a6d-efcd-4e98-972a-b809ed7f9da8 · outbound

This paper cites Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders.

PhysiX: A Foundation Model for Physics Simulations Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.181653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec89d40-5f70-4583-920d-9729c01d5b45 · outbound

This paper cites Mahoney, and Amir Gholami.

PhysiX: A Foundation Model for Physics Simulations Mahoney, and Amir Gholami

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.599628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22fee159-0717-42f8-88df-5a5c463a0261 · outbound

This paper cites Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data.

PhysiX: A Foundation Model for Physics Simulations Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.190695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e7a2a4-b723-4e69-a0fb-df54155d6900 · outbound

This paper cites AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion.

PhysiX: A Foundation Model for Physics Simulations AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.195306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416c8414-ae48-4c08-ba43-9dea8cbec341 · outbound

This paper cites Multi-modal foundation model for material design.

PhysiX: A Foundation Model for Physics Simulations Multi-modal foundation model for material design

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.582965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3958a7f2-5c51-45ba-a812-530f575b36f1 · outbound

This paper cites Application of deep learning based multi-fidelity surrogate model to robust aerodynamic design optimization.

PhysiX: A Foundation Model for Physics Simulations Application of deep learning based multi-fidelity surrogate model to robust aerodynamic design optimization

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.572163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 545e3e95-1cbe-4912-8561-dd789412940d · outbound

This paper cites Neural-network quantum state tomography.

PhysiX: A Foundation Model for Physics Simulations Neural-network quantum state tomography

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.207866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9373c53a-3e5f-4319-a030-b835d53d30fe · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

PhysiX: A Foundation Model for Physics Simulations Wan: Open and Advanced Large-Scale Video Generative Models

Reference 57

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Observation 2e218314-d287-4102-a600-eeb50238b13b · outbound

This paper cites Omnitok- enizer: A joint image-video tokenizer for visual generation.

PhysiX: A Foundation Model for Physics Simulations Omnitok- enizer: A joint image-video tokenizer for visual generation

Reference 58

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Observation d892fca4-987d-43cd-b709-f5b6b6a27da0 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

PhysiX: A Foundation Model for Physics Simulations Emu3: Next-Token Prediction is All You Need

Reference 59

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Observation a0b64bb0-d8cc-4f86-8a4a-354d6e367b49 · outbound

This paper cites Lavie: High-quality video generation with cascaded latent diffusion models.

PhysiX: A Foundation Model for Physics Simulations Lavie: High-quality video generation with cascaded latent diffusion models

Reference 60

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Source-reported events for the cited work

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Observation f907a712-20b4-4555-b8a2-53ffb077d7ce · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

PhysiX: A Foundation Model for Physics Simulations Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.226493Z

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Observation 90d58d0c-23da-482d-a74a-b9b50795b112 · outbound

This paper cites Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems.

PhysiX: A Foundation Model for Physics Simulations Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.538216Z

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Observation 64e20138-8ce4-43bd-bc29-f8f7423cb81c · outbound

This paper cites Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification.

PhysiX: A Foundation Model for Physics Simulations Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.527118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6fe89881-4a97-4470-acff-9c1be62cdb6d · outbound

This paper cites A comprehensive survey on transfer learning.

PhysiX: A Foundation Model for Physics Simulations A comprehensive survey on transfer learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:00.236888Z

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Observation e3a7c922-6a3e-49ce-9f93-fbc622ac29f9 · outbound

This paper cites Lumina-next: Making lumina-t2x stronger and faster with next-dit.

PhysiX: A Foundation Model for Physics Simulations Lumina-next: Making lumina-t2x stronger and faster with next-dit

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:06:00.510523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 712f8f52-5870-44a9-bf93-3c93df799204 · inbound

Physics-Encoded Inverse Modeling for Arctic Snow Depth Estimation cites this paper.

Physics-Encoded Inverse Modeling for Arctic Snow Depth Estimation PhysiX: A Foundation Model for Physics Simulations

Reference 2025

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Observation 78e53be0-6585-4b65-b079-84f1bae8f8c4 · inbound

Probabilistic Retrofitting of Learned Simulators cites this paper.

Probabilistic Retrofitting of Learned Simulators PhysiX: A Foundation Model for Physics Simulations

Reference 2025

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Source-reported events for the cited work

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Observation 0d65c7da-e260-430d-ae7d-7ac000abc60f · inbound

Generative Inverse Design with Abstention via Diagonal Flow Matching cites this paper.

Generative Inverse Design with Abstention via Diagonal Flow Matching PhysiX: A Foundation Model for Physics Simulations

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df0b2237-1bdb-49c5-9f09-dbf5d921534f · inbound

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows cites this paper.

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows PhysiX: A Foundation Model for Physics Simulations

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:05:11.508691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de148734-05df-4965-842d-d5079f739398 · 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 PhysiX: A Foundation Model for Physics Simulations

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:17.040175Z

Source-reported events for the cited work

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Observation 33d369c7-3f70-4d23-93fc-10c88945b574 · inbound

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing cites this paper.

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing PhysiX: A Foundation Model for Physics Simulations

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:23:21.486213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d91be01a-16c1-4b0b-839e-4746c2330e2f · inbound

Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD cites this paper.

Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD PhysiX: A Foundation Model for Physics Simulations

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:11:20.653556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec77dddb-cd25-40f1-a1af-bdc8648ed3a0 · inbound

Forecasting megaelectron-volt electron flux in the Earth's outer radiation belt using supervised machine learning algorithms and a timeseries foundation model cites this paper.

Forecasting megaelectron-volt electron flux in the Earth's outer radiation belt using supervised machine learning algorithms and a timeseries foundation model PhysiX: A Foundation Model for Physics Simulations

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54803f7c-efd4-45c4-896d-36b848939a73 · 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 PhysiX: A Foundation Model for Physics Simulations

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.970566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31d44b2a-385c-4151-9a0e-83f1d372533d · inbound

Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence cites this paper.

Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence PhysiX: A Foundation Model for Physics Simulations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:15.370217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f77f3188-b4bb-4ff3-8c85-26aa20328610 · inbound

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Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways PhysiX: A Foundation Model for Physics Simulations

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:06:23.758510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc6fb289-244b-46a1-9d1e-a4ceec2948ec · inbound

Image Editing Models are Numerical Solvers cites this paper.

Image Editing Models are Numerical Solvers PhysiX: A Foundation Model for Physics Simulations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T14:25:41.415050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 323a2250-9696-4df9-b6e8-ba97f10f8bb1 · inbound

Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations cites this paper.

Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations PhysiX: A Foundation Model for Physics Simulations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:57.716350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c21f3197-dfa2-4b28-b7aa-18d32c8f7428 · inbound

Unsupervised Adaptation of PDE Foundation Models cites this paper.

Unsupervised Adaptation of PDE Foundation Models PhysiX: A Foundation Model for Physics Simulations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T15:41:11.527694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.