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Paper Citation Record · LEDGER

Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2401.13537.

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

pith.paper-citation-record.v1
2401.13537 v3

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measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:15:54.892554Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T07:25:28.732885Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7a090183-763d-4433-8b48-c6397dcf47ba · inbound

Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture cites this paper.

Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 12

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no resolver link, observed 2026-08-11T21:28:22.212511Z

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Observation 3e20b191-a353-4fcb-832a-198d8b435388 · inbound

Pretrained Event Classification Model for High Energy Physics Analysis cites this paper.

Pretrained Event Classification Model for High Energy Physics Analysis Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 12

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arxiv_id, observed 2026-05-23T07:25:28.735417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3d349609-6d5c-475e-a5b6-312148a31adf · inbound

Pretrained Event Classification Model for High Energy Physics Analysis cites this paper.

Pretrained Event Classification Model for High Energy Physics Analysis Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 12

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no resolver link, observed 2026-08-11T15:47:54.619685Z

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Observation ac96e32e-63b0-4f40-99b6-fbd39f20c10f · inbound

Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network cites this paper.

Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 81

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no resolver link, observed 2026-08-15T22:15:54.892554Z

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Observation 5c2f3482-2855-409e-a7cb-accea5a71628 · inbound

Enhancing next token prediction based pre-training for jet foundation models cites this paper.

Enhancing next token prediction based pre-training for jet foundation models Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 7

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no resolver link, observed 2026-08-03T18:42:08.755348Z

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Unavailable: canonical work link unavailable.

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Observation 81b849e4-5b15-4b4c-82a5-4ea9ccfadf41 · inbound

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency cites this paper.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 38

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no resolver link, observed 2026-08-03T15:47:02.501041Z

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Unavailable: canonical work link unavailable.

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Observation 849e4d57-acd9-4310-8cb7-5f4de0e620c6 · inbound

A universal vision transformer for fast calorimeter simulations cites this paper.

A universal vision transformer for fast calorimeter simulations Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 37

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no resolver link, observed 2026-08-03T12:08:17.182576Z

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source=pdf_text observed=2026-08-03T12:08:17.182576Z digest=sha256:593463e2a3b84d6bbf70881063345060473a098848167bc87e71e336b15749a7

Observation 0e529af4-7f64-4a66-a37b-d82e480c53fa · inbound

Explicit or Implicit? Encoding Physics at the Precision Frontier cites this paper.

Explicit or Implicit? Encoding Physics at the Precision Frontier Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 34

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no resolver link, observed 2026-08-03T02:35:31.665023Z

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Observation 7f531141-9864-4c24-b005-5bea51a76bea · inbound

Masked-Token Prediction for Anomaly Detection at the Large Hadron Collider cites this paper.

Masked-Token Prediction for Anomaly Detection at the Large Hadron Collider Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T14:11:04.378192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T23:24:59.497990Z digest=sha256:8fecf0c2947ee3e8fad43baeae61fc2f070519abcb5afd742234c51767eaa5c8

Observation 6844c8a4-cea7-4c40-ae29-03f7e5ffe0b3 · inbound

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

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 35

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no resolver link, observed 2026-07-14T00:50:24.285797Z

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Observation f343c461-6d6f-4c84-b6c9-edce7867b70a · inbound

Learning Standard Model structure from LHC data with Riemannian flow matching cites this paper.

Learning Standard Model structure from LHC data with Riemannian flow matching Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 33

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unresolved
no resolver link, observed 2026-08-01T21:19:38.473551Z

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Observation 28695cde-9834-4bc1-a602-81b622cf7b62 · inbound

D$e^+e^-$ffusion: Capturing the Beam-Beam Physics of $e^+e^-$ Collisions with Diffusion Models cites this paper.

D$e^+e^-$ffusion: Capturing the Beam-Beam Physics of $e^+e^-$ Collisions with Diffusion Models Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 25

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no resolver link, observed 2026-08-01T15:17:22.359225Z

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Observation d157c562-896c-49f5-8d37-b780a9336f93 · inbound

Predict before you train: Scaling Laws for particle physics foundation models cites this paper.

Predict before you train: Scaling Laws for particle physics foundation models Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 9

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no resolver link, observed 2026-07-30T23:56:38.550345Z

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Observation 84275fed-f271-4ef8-932c-af88b6550a74 · inbound

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation cites this paper.

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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no resolver link, observed 2026-08-01T06:46:58.382299Z

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Observation c722b98d-444e-4760-94e8-721d57d54e87 · inbound

Learning transferable event representations for charmed baryon physics at BESIII cites this paper.

Learning transferable event representations for charmed baryon physics at BESIII Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

Reference 38

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unresolved
no resolver link, observed 2026-08-03T13:56:45.173978Z

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Unavailable: canonical work link unavailable.

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Observation 108185cc-94f7-4276-80ab-0dc442c98913 · inbound

Machine Learning is Good for Physics - and Vice Versa cites this paper.

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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unresolved
no resolver link, observed 2026-08-07T23:04:30.381004Z

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Unavailable: canonical work link unavailable.

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