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Paper Citation Record · LEDGER

Machine Learning is Good for Physics - and Vice Versa

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.05812.

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

pith.paper-citation-record.v1
2608.05812 v1

Coverage vector

measured 44 of 44 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 773ed736-0987-4612-8a87-5d26ce6da1cc · outbound

This paper cites Trotta,The indiscriminate adoption of ai threatens the foundations of academia, Nature Astronomy9(12), 1748–1749 (2025), doi:10.1038/s41550-025-02738-w.

Machine Learning is Good for Physics - and Vice Versa Trotta,The indiscriminate adoption of ai threatens the foundations of academia, Nature Astronomy9(12), 1748–1749 (2025), doi:10.1038/s41550-025-02738-w

Reference 1

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This paper cites an unresolved cited work.

Machine Learning is Good for Physics - and Vice Versa Unresolved cited work

Reference 2

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Observation 83944ea0-dfec-4366-870f-b6238e90612f · outbound

This paper cites Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough.

Machine Learning is Good for Physics - and Vice Versa Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough

Reference 3

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Observation 284baa2e-fd93-4a89-9a05-c619a2e45f43 · outbound

This paper cites Manyika (editor),Ai & science: What is the future of discovery?, DaedalusWinter/Spring(2026).

Machine Learning is Good for Physics - and Vice Versa Manyika (editor),Ai & science: What is the future of discovery?, DaedalusWinter/Spring(2026)

Reference 4

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Observation 5a801a32-d390-4fb3-8531-c44035c5d24c · outbound

This paper cites Feyerabend,Against Method, New Left Books, London and New York (1975).

Machine Learning is Good for Physics - and Vice Versa Feyerabend,Against Method, New Left Books, London and New York (1975)

Reference 5

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This paper cites Srednicki,Quantum field theory, Cambridge Univer- sity Press, ISBN 978-0-521-86449-7, 978-0-511-26720-8, doi:10.1017/CBO9780511813917 (2007).

Machine Learning is Good for Physics - and Vice Versa Srednicki,Quantum field theory, Cambridge Univer- sity Press, ISBN 978-0-521-86449-7, 978-0-511-26720-8, doi:10.1017/CBO9780511813917 (2007)

Reference 6

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Machine Learning is Good for Physics - and Vice Versa Unresolved cited work

Reference 7

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Observation e5f78ebf-e9d7-4e0c-baa6-b300544d522f · outbound

This paper cites The frontier of simulation-based inference.

Machine Learning is Good for Physics - and Vice Versa The frontier of simulation-based inference

Reference 8

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Machine Learning is Good for Physics - and Vice Versa Unresolved cited work

Reference 9

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Observation 1f7a3c3a-1d0c-4f9a-91b3-88425e42840c · outbound

This paper cites Jet-Images -- Deep Learning Edition.

Machine Learning is Good for Physics - and Vice Versa Jet-Images -- Deep Learning Edition

Reference 10

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Observation db4fbcbe-7ad6-4f39-8606-076865f7d80e · outbound

This paper cites Energy Flow Networks: Deep Sets for Particle Jets.

Machine Learning is Good for Physics - and Vice Versa Energy Flow Networks: Deep Sets for Particle Jets

Reference 11

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Observation 9269d9b1-6f4b-4327-9eb2-a3d876945456 · outbound

This paper cites ParticleNet: Jet Tagging via Particle Clouds.

Machine Learning is Good for Physics - and Vice Versa ParticleNet: Jet Tagging via Particle Clouds

Reference 12

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Observation 720dcf1c-6feb-442e-974d-ac6f23586b6b · outbound

This paper cites The Machine Learning Landscape of Top Taggers.

Machine Learning is Good for Physics - and Vice Versa The Machine Learning Landscape of Top Taggers

Reference 13

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Machine Learning is Good for Physics - and Vice Versa Event Generators for High-Energy Physics Experiments

Reference 14

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Observation 312ed058-5461-436e-9968-818164b98ebb · outbound

This paper cites Machine Learning and LHC Event Generation.

Machine Learning is Good for Physics - and Vice Versa Machine Learning and LHC Event Generation

Reference 15

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Observation d5c89aca-c787-4d09-acc9-e399bb538e9c · outbound

This paper cites Janßen, R.

Machine Learning is Good for Physics - and Vice Versa Janßen, R

Reference 16

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Observation c5dae81d-9fd3-41a2-b82a-a124e4553372 · outbound

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Machine Learning is Good for Physics - and Vice Versa MadNIS at NLO

Reference 17

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This paper cites Anomaly Detection with Density Estimation.

Machine Learning is Good for Physics - and Vice Versa Anomaly Detection with Density Estimation

Reference 18

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Observation c94afa1f-eea7-4cf7-9381-4b4d6cb9374c · outbound

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Machine Learning is Good for Physics - and Vice Versa Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 19

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This paper cites Look everywhere effects in anomaly detection.

Machine Learning is Good for Physics - and Vice Versa Look everywhere effects in anomaly detection

Reference 20

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Machine Learning is Good for Physics - and Vice Versa QCD or What?

Reference 21

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Machine Learning is Good for Physics - and Vice Versa Farina, Y

Reference 22

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Machine Learning is Good for Physics - and Vice Versa Unresolved cited work

Reference 23

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This paper cites OmniFold: A Method to Simultaneously Unfold All Observables.

Machine Learning is Good for Physics - and Vice Versa OmniFold: A Method to Simultaneously Unfold All Observables

Reference 24

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Machine Learning is Good for Physics - and Vice Versa Invertible Networks or Partons to Detector and Back Again

Reference 25

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Machine Learning is Good for Physics - and Vice Versa Representation Learning: A Review and New Perspectives

Reference 26

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Machine Learning is Good for Physics - and Vice Versa Brehmer, V

Reference 27

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Machine Learning is Good for Physics - and Vice Versa Favaro, G

Reference 28

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Machine Learning is Good for Physics - and Vice Versa Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 29

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Machine Learning is Good for Physics - and Vice Versa Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 30

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Machine Learning is Good for Physics - and Vice Versa OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 31

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Machine Learning is Good for Physics - and Vice Versa Mikuni and B

Reference 32

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Machine Learning is Good for Physics - and Vice Versa On the Opportunities and Risks of Foundation Models

Reference 33

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Machine Learning is Good for Physics - and Vice Versa Diefenbacher, A

Reference 34

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Machine Learning is Good for Physics - and Vice Versa MadAgents

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Machine Learning is Good for Physics - and Vice Versa Classification without labels: Learning from mixed samples in high energy physics

Reference 36

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Machine Learning is Good for Physics - and Vice Versa GANplifying Event Samples

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Machine Learning is Good for Physics - and Vice Versa The Path to N$^3$LO Parton Distributions

Reference 38

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Machine Learning is Good for Physics - and Vice Versa Latent Space Oddity: on the Curvature of Deep Generative Models

Reference 39

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no resolver link, observed 2026-08-07T23:04:30.416416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:04:30.416416Z digest=sha256:8e76446b2fb821189bca7dd3f461db62fe8ce3705066f5f4a0c58bd6e7881bb9

Observation 446775e0-19e9-4968-92ce-0b0110a6abd6 · outbound

This paper cites The Latent Information Geometry of Jet Classification.

Machine Learning is Good for Physics - and Vice Versa The Latent Information Geometry of Jet Classification

Reference 40

Resolution
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no resolver link, observed 2026-08-07T23:04:30.420150Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:04:30.420150Z digest=sha256:af67f11e5d6ecddc4ef63f681bde38ee78c3ea8ca0eca6f005e1c2cbb1407b13

Observation 1a806d2e-536a-4e99-aa9e-b878945f2a6e · outbound

This paper cites From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs.

Machine Learning is Good for Physics - and Vice Versa From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T23:04:30.423107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:04:30.423107Z digest=sha256:d948b6d4fc71f7967e072a9b737f2fdaf3faa6112c3d94aaef78dc40474b165e

Observation 9d94820c-b2ec-4b58-85e8-dc020d9829ca · outbound

This paper cites The Principles of Deep Learning Theory.

Machine Learning is Good for Physics - and Vice Versa The Principles of Deep Learning Theory

Reference 42

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no resolver link, observed 2026-08-07T23:04:30.426398Z

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Unavailable: canonical work link unavailable.

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Observation 2278f015-a4b2-4215-9362-b8ed3001b833 · outbound

This paper cites Applications of Statistical Field Theory in Deep Learning.

Machine Learning is Good for Physics - and Vice Versa Applications of Statistical Field Theory in Deep Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T23:04:30.429284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:04:30.429284Z digest=sha256:c3c02009e9a58ebd42710b09d6e9f5faec446e8e28cd6fc14ee388b6db798ad9

Observation 8f49390d-c58b-4a09-9b2b-02eadd60f514 · outbound

This paper cites Luccioni, Y.

Machine Learning is Good for Physics - and Vice Versa Luccioni, Y

Reference 44

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verified exact
arxiv_id_nonexistent, observed 2026-08-07T23:04:38.908570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:04:30.432564Z digest=sha256:e3d049131289aff8ca77474a33cb181875baacd5727bdf2cd4562573a0e7f199

Pith citing papers

No inbound Pith citation observations are available.