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Paper Citation Record · LEDGER

OmniJet-$\alpha$: The first cross-task foundation model for particle physics

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.05618.

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

pith.paper-citation-record.v1
2403.05618 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:04:30.384835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:57:47.989512Z

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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 63877920-b6cc-4d3b-b4c5-cfa9d929d691 · inbound

From stellar light to astrophysical insight: automating variable star research with machine learning cites this paper.

From stellar light to astrophysical insight: automating variable star research with machine learning OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 15

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Observation 37e4e77c-af38-4b26-ba0f-84c37e006cfe · 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 OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 12

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Observation 94c23502-3238-4e5e-8bbb-3ed77f1abb6b · inbound

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

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 37

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Observation 838de2e4-501a-4671-84f3-1a4f1262647f · inbound

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

A universal vision transformer for fast calorimeter simulations OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 38

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Observation 477d3116-74a4-4441-9ba4-80cc36aed530 · inbound

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

Explicit or Implicit? Encoding Physics at the Precision Frontier OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 32

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Observation 025b36cf-4f60-49eb-9023-69238cf4d6c7 · inbound

Neural Scaling Laws for Jet Generation cites this paper.

Neural Scaling Laws for Jet Generation OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 15

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verified exact
arxiv_id, observed 2026-06-29T11:13:21.220110Z

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Observation 5f8b8e61-0dfd-4975-93e3-c3418f8994bf · inbound

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation cites this paper.

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 44

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verified exact
arxiv_id, observed 2026-07-03T08:57:47.990893Z

Source-reported events for the cited work

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Observation 3a8989fd-4a8b-4b79-a488-966c2206be8f · 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 OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 32

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unresolved
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Observation 59ba03ef-2007-4af6-8383-3794d6271a43 · 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 OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 34

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 2fe5c246-6c6f-40e1-bf34-30d9a1111285 · 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 OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 8

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unresolved
no resolver link, observed 2026-07-30T23:56:38.545426Z

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Unavailable: canonical work link unavailable.

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Observation 41a4dff5-5abe-4056-afd7-8e4301eafda2 · inbound

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

Learning transferable event representations for charmed baryon physics at BESIII OmniJet-$\alpha$: The first cross-task foundation model for particle physics

Reference 39

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 7817b6d2-ffe6-45b1-8f46-8266ad3940c8 · inbound

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

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

Reference 31

Resolution
malformed identifier
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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