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Paper Citation Record · LEDGER

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2411.09468.

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

pith.paper-citation-record.v1
2411.09468 v2

Coverage vector

measured 29 of 29 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T20:40:31.191652Z

measured 29 of 29 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 2d76c008-1a20-4bea-b633-c30bcb7dcdfa · outbound

This paper cites Introduction to Machine Learning for Accelerator Physics.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Introduction to Machine Learning for Accelerator Physics

Reference 1

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Observation f73818c2-7979-4a50-a537-1c74d46944fd · outbound

This paper cites Reinforcement learning-trained optimisers and bayesian optimisation for online particle accelerator tuning.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Reinforcement learning-trained optimisers and bayesian optimisation for online particle accelerator tuning

Reference 2

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Observation 20f86ea9-60b0-4255-966d-12ba5f1f8b23 · outbound

This paper cites Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simu- lations.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simu- lations

Reference 3

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Observation 2b83bbc1-a5ca-4300-9a93-69ef4c60d5b4 · outbound

This paper cites Physics-informed neural network method for space charge effect in particle accelerators.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Physics-informed neural network method for space charge effect in particle accelerators

Reference 4

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Observation ce441a13-fe9b-4ff7-b2c0-bb243f389d48 · outbound

This paper cites Jhalani, Jacek Krzywinski, Timothy J.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Jhalani, Jacek Krzywinski, Timothy J

Reference 5

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Observation 21465e6c-de46-47e1-b38c-05391d968272 · outbound

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Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Unresolved cited work

Reference 6

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Observation 1f864cad-0f90-41bc-a7fb-a0136e65060c · outbound

This paper cites Behrens, F.-J.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Behrens, F.-J

Reference 7

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Observation 3050c8ff-431c-4029-bfd2-7235392f93a6 · outbound

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Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Unresolved cited work

Reference 8

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Observation feff112e-6c59-4a75-b32b-b79227f0d6ff · outbound

This paper cites Hanuka, C.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Hanuka, C

Reference 9

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Observation 4e6988b8-241e-4ad9-92c8-4a792a161254 · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 10

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Observation 08cd6254-c925-41e0-aa08-cfefbf870ee8 · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation

Reference 11

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Observation 3626db73-ec18-41dd-9674-2b9300fab1da · outbound

This paper cites Kingma and Jimmy Ba.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Kingma and Jimmy Ba

Reference 12

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Observation f46cb2b2-58f7-4dc7-a3aa-bcedcbaaf621 · outbound

This paper cites PyTorch Lightning, March 2019.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power PyTorch Lightning, March 2019

Reference 13

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Observation 453f0d56-0078-40ca-b2ce-326f53ee849d · outbound

This paper cites Virtual Pulse Reconstruction Diagnostic, November 2024.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Virtual Pulse Reconstruction Diagnostic, November 2024

Reference 14

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Observation 046fe690-b3d0-4dc0-b3ac-a4f709f74de8 · outbound

This paper cites harnessing machine learning for single-shot measurement of free electron laser pulse power.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power harnessing machine learning for single-shot measurement of free electron laser pulse power

Reference 15

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Observation 03de0f1e-4e5c-462f-936d-2617cefa6363 · outbound

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Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Unresolved cited work

Reference 16

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Observation a966f8ef-dbb6-4208-9f2a-8aac1be27abf · outbound

This paper cites Individual Comparisons by Ranking Methods.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Individual Comparisons by Ranking Methods

Reference 17

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Observation 5ab20446-24a6-4c6d-aac6-2ea11ed77ea2 · outbound

This paper cites Teoria statistica delle classi e calcolo delle probabilita.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Teoria statistica delle classi e calcolo delle probabilita

Reference 18

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Observation 6a246ddf-f0ed-459c-8d46-ce9c95c9fe14 · outbound

This paper cites Schneider, and Wilfried Wurth.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Schneider, and Wilfried Wurth

Reference 19

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Observation f8d0c1d3-1a27-41d9-b643-daf25cfe5435 · outbound

This paper cites FLASH2020+ - upgrade of FLASH: concep- tual design report.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power FLASH2020+ - upgrade of FLASH: concep- tual design report

Reference 20

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Observation 3550b3b4-ebdb-4380-9503-73d23c0da4f9 · outbound

This paper cites A PolariX TDS for the FLASH2 Beamline.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power A PolariX TDS for the FLASH2 Beamline

Reference 21

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Observation 3223b440-ac0b-49ab-8c4c-12368ff57efb · outbound

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Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power X-Band TDS Project

Reference 22

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Observation 7c6ab2d4-4b3b-47ff-ad1e-c323d734feb3 · outbound

This paper cites Status of the Polarix-TDS Project.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Status of the Polarix-TDS Project

Reference 23

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Observation 186e2ba2-69e7-46fa-98b3-2e24b79f0322 · outbound

This paper cites Craievich, M.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Craievich, M

Reference 24

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Observation 8a449e17-472c-48fe-b478-e1d7f0f042b9 · outbound

This paper cites Lambert, Juan Nunez-Iglesias, Daniel P.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Lambert, Juan Nunez-Iglesias, Daniel P

Reference 25

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Observation 2440ccfd-dfe3-4c91-a96e-1baff77af090 · outbound

This paper cites clEsperanto/pyclesperanto, September 2024.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power clEsperanto/pyclesperanto, September 2024

Reference 26

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Observation d5d65e54-4893-4474-9406-0af688060d94 · outbound

This paper cites A Threshold Selection Method from Gray-Level Histograms.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power A Threshold Selection Method from Gray-Level Histograms

Reference 27

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Observation ae1b4cf8-c799-4768-9081-fa4ac122c05d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power Adam: A Method for Stochastic Optimization

Reference 2017

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This paper cites ISBN 978-3-95450-184-7.

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power ISBN 978-3-95450-184-7

Reference 3811

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