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Paper Citation Record · LEDGER

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation

As of 12 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2502.06848.

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

pith.paper-citation-record.v1
2502.06848 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:44:30.274189Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 505564cd-fa10-4a52-8722-8be56b9cd392 · outbound

This paper cites Physical Design using Differentiable Learned Simulators.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Physical Design using Differentiable Learned Simulators

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6926e39-fe6d-4340-a202-51fabe66bace · outbound

This paper cites 15 C E XPERIMENT DETAILS C.1 M ODEL CONFIGURATION MGN: For the Deforming Plate and Deformable Plate datasets, we adhere to the settings outlined in the original paper Pfaff et al.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation 15 C E XPERIMENT DETAILS C.1 M ODEL CONFIGURATION MGN: For the Deforming Plate and Deformable Plate datasets, we adhere to the settings outlined in the original paper Pfaff et al

Reference 2

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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 2026-08-12T06:34:41.77262+00:00.

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Observation c69ff5ba-2a72-4501-82f1-0432ae0485b8 · outbound

This paper cites Predicting physics in mesh- reduced space with temporal attention.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Predicting physics in mesh- reduced space with temporal attention

Reference 6

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Source-reported events for the cited work

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Observation f94cab14-4b62-47cf-911b-1ad6e3c7c0e0 · outbound

This paper cites Scaling Face Interaction Graph Networks to Real World Scenes.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Scaling Face Interaction Graph Networks to Real World Scenes

Reference 8

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Observation e22df531-c9ca-4ece-a475-7dba610edc3e · outbound

This paper cites Language Models are Few-Shot Learners.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Language Models are Few-Shot Learners

Reference 9

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Observation cb8b40bc-8018-4d40-90e0-1d23cf697230 · outbound

This paper cites Transfer learning with resnet-50 for malaria cell- image classification.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Transfer learning with resnet-50 for malaria cell- image classification

Reference 11

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 531c318a-6379-4474-bdba-4c2c537747c9 · outbound

This paper cites Malicious software classification using transfer learning of resnet-50 deep neural network.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Malicious software classification using transfer learning of resnet-50 deep neural network

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 76a3cfc8-57e8-4559-b523-f7e843eb66e9 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation LLaMA: Open and Efficient Foundation Language Models

Reference 15

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Source-reported events for the cited work

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Observation 672dd17f-d5a5-4059-8174-c1dce8194bce · outbound

This paper cites Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

Reference 17

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Observation ea7f1611-e3bf-4dff-8ebc-ae8f16ae705a · outbound

This paper cites Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 981cdb23-ff86-4161-ad29-15e47ea7cd7f · outbound

This paper cites The operator denotes concatenation, while | · |refers to the L2 norm.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation The operator denotes concatenation, while | · |refers to the L2 norm

Reference 19

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 21fba75c-1a61-4c8f-b2c5-8a31d8f891fc · outbound

This paper cites We evaluate the model performance across several configurations and select the one that performs best.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation We evaluate the model performance across several configurations and select the one that performs best

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d29d3d47-17dc-4d19-bc82-3f8ab93c7d69 · outbound

This paper cites Learning 3D Particle-based Simulators from RGB-D Videos.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Learning 3D Particle-based Simulators from RGB-D Videos

Reference 1998

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unresolved
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Observation ffb0f4ed-7cdc-44da-b053-761eaa67cdbe · outbound

This paper cites Battaglia.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Battaglia

Reference 2012

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 81f0ce12-bf31-4686-9186-1ceaf854c5c4 · outbound

This paper cites Battaglia.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Battaglia

Reference 2017

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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 2026-08-12T06:34:41.77262+00:00.

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Observation c5378b2f-0749-4100-b84d-a9f59ba74d9b · outbound

This paper cites Battaglia.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Battaglia

Reference 2018

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verified fuzzy
raw_fallback, observed 2026-08-08T21:44:30.624917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3840bcb2-e3f2-42f4-8c07-6156ca131492 · outbound

This paper cites GNN-based physics solver for time-independent PDEs.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation GNN-based physics solver for time-independent PDEs

Reference 2019

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f3464ce-e700-4629-bb3d-255cc8fcd186 · outbound

This paper cites Grounding Graph Network Simulators using Physical Sensor Observations.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Grounding Graph Network Simulators using Physical Sensor Observations

Reference 2020

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verified exact
local_arxiv, observed 2026-08-08T21:44:30.485519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8f367b8d-cecb-4f73-b5fa-62700bd7641d · outbound

This paper cites MultiScale MeshGraphNets.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation MultiScale MeshGraphNets

Reference 2022

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Observation e875a368-ce54-4d47-b3b6-4ac64d256d0c · outbound

This paper cites Distance-Based Regularisation of Deep Networks for Fine-Tuning.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Distance-Based Regularisation of Deep Networks for Fine-Tuning

Reference 2023

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Unavailable: canonical work link unavailable.

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Observation 19d2e366-b6c2-4181-b4af-1f6a0b602886 · outbound

This paper cites doi: https://doi.org/10.1016/j.engappai.2024.108055.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation doi: https://doi.org/10.1016/j.engappai.2024.108055

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.