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Paper Citation Record · LEDGER

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.27501.

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

pith.paper-citation-record.v1
2607.27501 v1

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measured 36 of 36 reference resolution

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36 of 36 outbound references displayed

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Outbound references

Observation c1cabc30-0cbc-4b15-b256-5fdc514e5005 · outbound

This paper cites Machine Learning in High Energy Physics Community White Paper.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Machine Learning in High Energy Physics Community White Paper

Reference 1

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This paper cites M., Seljak, U.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation M., Seljak, U

Reference 2

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This paper cites & Shih, D.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Shih, D

Reference 3

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This paper cites URL https://doi.org/10.1038/ s41586-018-0361-2.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation URL https://doi.org/10.1038/ s41586-018-0361-2

Reference 4

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Observation 37089655-ed1c-4415-b482-a55244538d40 · outbound

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

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation On the Opportunities and Risks of Foundation Models

Reference 5

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This paper cites A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 6

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This paper cites Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment940, 156–167 (2019).

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment940, 156–167 (2019)

Reference 7

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This paper cites & Whitehead, L.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Whitehead, L

Reference 8

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This paper cites A., Grabarczyk, R.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation A., Grabarczyk, R

Reference 9

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This paper cites Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 10

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This paper cites & Nachman, B.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Nachman, B

Reference 11

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This paper cites & Nachman, B.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Nachman, B

Reference 12

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Kasieczka, G

Reference 13

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This paper cites URL https://arxiv.org/abs/2601.17126.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation URL https://arxiv.org/abs/2601.17126

Reference 14

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Nachman, B

Reference 15

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Nachman, B

Reference 16

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This paper cites Attention Is All You Need.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Attention Is All You Need

Reference 17

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This paper cites MLP-Mixer: An all-MLP Architecture for Vision.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation MLP-Mixer: An all-MLP Architecture for Vision

Reference 18

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation ResMLP: Feedforward networks for image classification with data-efficient training

Reference 19

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Pay Attention to MLPs

Reference 20

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation JINST3, S08003 (2008)

Reference 21

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Aarrestad, T

Reference 22

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & McInnes, L

Reference 23

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This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 24

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Anomaly detection ml challenge

Reference 25

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Scientific modeling out of distribution (mood) ml challenge

Reference 26

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Computing and Software for Big Science3, 7 (2019)

Reference 27

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation M.et al.Applications and techniques for fast machine learning in science.Frontiers in Big Data5(2022)

Reference 28

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation https://opendata.atlas.cern/

Reference 29

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Stelzer, T

Reference 30

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation The pythia event generator: Past, present and future.Computer Physics Communications246, 106910 (2020)

Reference 31

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Adam: A Method for Stochastic Optimization

Reference 32

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation URL http://dx.doi.org/10.3847/1538-4365/acdc9f

Reference 33

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation & Shlizerman, E

Reference 34

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A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Unresolved cited work

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