Paper Citation Record · LEDGER

Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.07066.

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

pith.paper-citation-record.v1
2403.07066 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:28:22.207086Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:25:28.685026Z

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e25ab325-7813-4b0d-af30-ea7ac20b7ecb · 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 Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T21:28:22.207086Z

Source-reported events for the cited work

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Observation 9e2d92bc-7584-45c0-8af9-529fcfa627ca · inbound

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

Pretrained Event Classification Model for High Energy Physics Analysis Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:25:28.687914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d1fe66e-851e-473f-b727-707231cddc01 · inbound

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

Pretrained Event Classification Model for High Energy Physics Analysis Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:54.633584Z

Source-reported events for the cited work

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Observation 3da8db4a-5c25-4207-8bd8-e7ba3b790669 · 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 Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T18:42:09.480743Z

Source-reported events for the cited work

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Observation b8265566-66b4-48c0-a058-c3323944ce3d · inbound

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

Explicit or Implicit? Encoding Physics at the Precision Frontier Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T02:35:31.583236Z

Source-reported events for the cited work

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Observation 72687a1e-9905-488c-9d64-3ceb85634e6b · inbound

Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector cites this paper.

Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:47:12.773014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96dadbf7-69d5-4ee5-b4c2-84a8c6212f10 · 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 Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

Reference 34

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.