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Paper Citation Record · LEDGER

Double Descent and Overparameterization in Particle Physics Data

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2509.01397.

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

pith.paper-citation-record.v1
2509.01397 v1

Coverage vector

measured 24 of 24 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-05T12:40:04.203476Z

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Reference resolution

24 of 24 outbound references displayed

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Outbound references

Observation a1d82dc8-e2e8-438d-be92-4f46fa0c129b · outbound

This paper cites Dillon, Malcolm Fairbairn, Darius A.

Double Descent and Overparameterization in Particle Physics Data Dillon, Malcolm Fairbairn, Darius A

Reference 1

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Observation b2c330de-4e48-48e5-9509-4a30dff1fcf3 · outbound

This paper cites Komiske, Eric M.

Double Descent and Overparameterization in Particle Physics Data Komiske, Eric M

Reference 2

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Observation ca61e77a-69df-40bf-9260-e9a35cf5eada · outbound

This paper cites MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks.

Double Descent and Overparameterization in Particle Physics Data MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks

Reference 3

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Observation a147c2c2-0063-4b25-9e14-e22223d1c8f0 · outbound

This paper cites Reconstructing particles in jets using set transformer and hypergraph prediction networks.

Double Descent and Overparameterization in Particle Physics Data Reconstructing particles in jets using set transformer and hypergraph prediction networks

Reference 4

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Observation 47fec51e-86bf-48f5-85ac-a0553505fb44 · outbound

This paper cites Calogan: Simulating 3d high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks.

Double Descent and Overparameterization in Particle Physics Data Calogan: Simulating 3d high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks

Reference 5

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Observation e566e88b-7be8-4c12-b1af-409074d3f36b · outbound

This paper cites Deep generative models for detector signature simulation: A taxonomic review.

Double Descent and Overparameterization in Particle Physics Data Deep generative models for detector signature simulation: A taxonomic review

Reference 6

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Observation 8035b4ce-0c8d-46c0-a6f8-8a6850d68f9f · outbound

This paper cites Is Tokenization Needed for Masked Particle Modelling? 9 2024.

Double Descent and Overparameterization in Particle Physics Data Is Tokenization Needed for Masked Particle Modelling? 9 2024

Reference 7

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Observation 4a08adac-13fa-4a6f-861c-afa428bd19fa · outbound

This paper cites Masked particle modeling on sets: towards self-supervised high energy physics foundation models.

Double Descent and Overparameterization in Particle Physics Data Masked particle modeling on sets: towards self-supervised high energy physics foundation models

Reference 8

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Observation dcf55632-c5c3-4777-aed8-c75bbc9ef4e9 · outbound

This paper cites Finetuning foundation models for joint analysis optimization in High Energy Physics.

Double Descent and Overparameterization in Particle Physics Data Finetuning foundation models for joint analysis optimization in High Energy Physics

Reference 9

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Observation ca293c5c-8a59-41c1-b07f-b1c32bbc649b · outbound

This paper cites OmniJet-α_C: learning point cloud calorimeter simulations using generative transformers.

Double Descent and Overparameterization in Particle Physics Data OmniJet-α_C: learning point cloud calorimeter simulations using generative transformers

Reference 10

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Observation 623723e1-3fb8-4573-b99a-857d32e47d9e · outbound

This paper cites OmniJet-α: the first cross-task foundation model for particle physics.Mach.

Double Descent and Overparameterization in Particle Physics Data OmniJet-α: the first cross-task foundation model for particle physics.Mach

Reference 11

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Observation 4323d752-a75e-4b3f-9aaf-2beaf07d9211 · outbound

This paper cites Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data.

Double Descent and Overparameterization in Particle Physics Data Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data

Reference 12

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Observation e6e72225-1db8-4709-946e-efde101c09c9 · outbound

This paper cites Deep Double Descent: Where Bigger Models and More Data Hurt.

Double Descent and Overparameterization in Particle Physics Data Deep Double Descent: Where Bigger Models and More Data Hurt

Reference 13

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Observation 764c4b51-508c-4c34-bd6c-250b6a6d3c14 · outbound

This paper cites The implicit bias of gradient descent on separable data.

Double Descent and Overparameterization in Particle Physics Data The implicit bias of gradient descent on separable data

Reference 14

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Observation a83e016f-96b3-40e3-b443-8f5ddec31960 · outbound

This paper cites When and how epochwise double descent happens.

Double Descent and Overparameterization in Particle Physics Data When and how epochwise double descent happens

Reference 15

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Observation 6dc82222-b031-4255-87ad-4d8927518c7e · outbound

This paper cites Double descent in quantum machine learning.

Double Descent and Overparameterization in Particle Physics Data Double descent in quantum machine learning

Reference 16

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Observation 74833bee-9fca-48cb-96d5-565a9a25d894 · outbound

This paper cites Open- fold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization.

Double Descent and Overparameterization in Particle Physics Data Open- fold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization

Reference 17

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Observation d175421b-9d96-4421-907c-774935f532a8 · outbound

This paper cites The ATLAS Experiment at the CERN Large Hadron Collider.

Double Descent and Overparameterization in Particle Physics Data The ATLAS Experiment at the CERN Large Hadron Collider

Reference 18

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Observation d21e4da4-acc8-4d5e-890d-6460272b3019 · outbound

This paper cites ATLAS ttˆ Simulation for ML-based Jet Flavour Tagging (JetSet).

Double Descent and Overparameterization in Particle Physics Data ATLAS ttˆ Simulation for ML-based Jet Flavour Tagging (JetSet)

Reference 19

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Observation 9bca2881-758e-47da-877d-99f050c9a482 · outbound

This paper cites Salam, and Gregory Soyez.

Double Descent and Overparameterization in Particle Physics Data Salam, and Gregory Soyez

Reference 20

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Observation 0803b06a-988a-4703-a449-2001ecf10469 · outbound

This paper cites Transforming jet flavour tagging at atlas, 2025.

Double Descent and Overparameterization in Particle Physics Data Transforming jet flavour tagging at atlas, 2025

Reference 21

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Observation 92557b11-a565-4fd6-83d4-1d9371ae4431 · outbound

This paper cites ATLAS SUSY Searches in Wh1Lbb Channel Open Data Set.

Double Descent and Overparameterization in Particle Physics Data ATLAS SUSY Searches in Wh1Lbb Channel Open Data Set

Reference 22

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Observation ac126f8d-bfc3-4823-b2a9-ccc7db0720f1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Double Descent and Overparameterization in Particle Physics Data Adam: A Method for Stochastic Optimization

Reference 23

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Observation c701ca9d-485d-4317-a132-019441f5c0f8 · outbound

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Double Descent and Overparameterization in Particle Physics Data Unresolved cited work

Reference 24

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Pith citing papers

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