Paper Citation Record · LEDGER

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 10 inbound Pith citation observations for arXiv:2502.03933.

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

pith.paper-citation-record.v1
2502.03933 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:14:59.645871Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:15:54.903340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:39:46.508343Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier5
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a45522ec-a66c-4799-8eb2-34251521d49d · outbound

This paper cites Vision Transformers Need Registers.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Vision Transformers Need Registers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.554784Z

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Unavailable: canonical work link unavailable.

Observation ab95dbd2-51b2-4d76-b5d3-f2ec68c15207 · outbound

This paper cites Learning and Leveraging World Models in Visual Representation Learning.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Learning and Leveraging World Models in Visual Representation Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.569131Z

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Observation 6317cd4e-9b65-42ac-8fbe-1247656cd458 · outbound

This paper cites 9 HEP-JEPA: JEPA-based foundation model for collider physics Harris, P., Kagan, M., Krupa, J., Maier, B., and Woodward, N.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture 9 HEP-JEPA: JEPA-based foundation model for collider physics Harris, P., Kagan, M., Krupa, J., Maier, B., and Woodward, N

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.574626Z

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Observation 5572c630-4dcf-49c2-9fa2-afc67237d980 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Masked Autoencoders Are Scalable Vision Learners

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.579437Z

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Observation 8ba9a944-8796-43f3-b3be-20fedd712e49 · outbound

This paper cites URL https://dx.doi.org/10.1088/ 2632-2153/ac3ffb.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture URL https://dx.doi.org/10.1088/ 2632-2153/ac3ffb

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-09T00:14:59.584145Z

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Observation 7f156ead-0527-4d77-ad46-ee9b53b135b1 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture OpenVLA: An Open-Source Vision-Language-Action Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.588953Z

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Unavailable: canonical work link unavailable.

Observation a3cadd00-ec39-4ca6-a10a-ffc576e485a5 · outbound

This paper cites Leigh, M., Klein, S., Charton, F., Golling, T., Heinrich, L., Kagan, M., Ochoa, I., and Osadchy, M.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Leigh, M., Klein, S., Charton, F., Golling, T., Heinrich, L., Kagan, M., Ochoa, I., and Osadchy, M

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.593741Z

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Observation 219517bc-f188-401b-a9f7-baf43c440202 · outbound

This paper cites From Words to Molecules: A Survey of Large Language Models in Chemistry.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture From Words to Molecules: A Survey of Large Language Models in Chemistry

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T00:14:59.868194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b47a1a50-dc4e-497d-b436-7f5a863bc022 · outbound

This paper cites Multiple Physics Pretraining for Physical Surrogate Models.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Multiple Physics Pretraining for Physical Surrogate Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.603073Z

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Observation 3d13b9bd-681f-41fd-851d-ca530ef6da5b · outbound

This paper cites Masked Autoencoders for Point Cloud Self-supervised Learning.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Masked Autoencoders for Point Cloud Self-supervised Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.607727Z

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Observation 544a1277-ede6-439a-84cb-81a01e25cea3 · outbound

This paper cites doi: 10.1093/mnras/stae1450.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture doi: 10.1093/mnras/stae1450

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.612639Z

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Observation d3ab0f07-cb3d-42fe-9025-52a16ff72701 · outbound

This paper cites Particle Transformer for Jet Tagging.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Particle Transformer for Jet Tagging

Reference 20

Resolution: malformed identifier; no resolver link, observed 2026-08-09T00:14:59.617337Z

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Observation 94f6d37d-ceba-40e6-bf11-f6233d256d18 · outbound

This paper cites 2016239118.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture 2016239118

Reference 21

Resolution: malformed identifier; no resolver link, observed 2026-08-09T00:14:59.621888Z

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Observation 8982ec86-18b1-48fb-812c-d0bb60015a2f · outbound

This paper cites Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.626387Z

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Observation c1348cf8-0ea5-4d52-92c5-4056e322f098 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture LLaMA: Open and Efficient Foundation Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.641148Z

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Observation 98f95ce3-0f1a-42b3-afc6-28b8e55cd2ee · outbound

This paper cites Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.645871Z

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Observation 893de371-07cf-463d-9885-bd86f2cce108 · outbound

This paper cites Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K

Reference 2014

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T00:15:00.007411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbf91d09-5627-4ca3-add7-8964788f3a2a · outbound

This paper cites Subramanian, S., Harrington, P., Keutzer, K., Bhimji, W., Morozov, D., Mahoney, M., and Gholami, A.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Subramanian, S., Harrington, P., Keutzer, K., Bhimji, W., Morozov, D., Mahoney, M., and Gholami, A

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.631215Z

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Observation a2a4d43b-e8ef-4516-8d42-cc215a7dc1ef · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.564047Z

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Observation 3908f2b2-5457-4096-a0f5-394e1de3260d · outbound

This paper cites Assran, M., Duval, Q., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., LeCun, Y ., and Ballas, N.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Assran, M., Duval, Q., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., LeCun, Y ., and Ballas, N

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.525045Z

Source-reported events for the cited work

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Observation c5f51757-6892-4a0d-9589-72fcfaf6cdce · outbound

This paper cites Language Models are Few-Shot Learners.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.540692Z

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Observation 581651eb-62c5-4982-bf43-f6e17d23fc79 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Emerging Properties in Self-Supervised Vision Transformers

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.550417Z

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Observation 017a5633-e7f2-4187-aa2b-12c4c7607d9a · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture BEiT: BERT Pre-Training of Image Transformers

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.530634Z

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Observation 035ad494-b200-42d8-be04-16f670d73d2d · outbound

This paper cites Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T00:14:59.636462Z

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Observation bd27b5c4-4e85-4946-b71d-c6b93e9bae4e · outbound

This paper cites an unresolved cited work.

HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture Unresolved cited work

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-09T00:14:59.535883Z

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Pith citing papers

Observation 60cef0bf-360f-4845-8e99-0e81417f4997 · 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 HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T22:15:54.903340Z

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Observation 67b22b03-bef4-4393-84b0-13dd74a0f413 · 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 HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T18:42:09.040764Z

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Observation 5cce61d4-ae59-4cd3-8e8e-6d65c1c28ecb · inbound

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

Explicit or Implicit? Encoding Physics at the Precision Frontier HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T02:35:31.940252Z

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Observation a60cae40-f9b2-4c95-98f2-de44d3aac6cb · inbound

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling cites this paper.

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:09.285560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b01c38b-8128-4500-8520-4e448e4d7eee · inbound

Towards Engineering Scaling Laws with Pretraining Data Composition cites this paper.

Towards Engineering Scaling Laws with Pretraining Data Composition HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:49:36.792984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ece09ee3-a00d-4921-947b-b12032afc672 · inbound

Towards Engineering Scaling Laws with Pretraining Data Composition cites this paper.

Towards Engineering Scaling Laws with Pretraining Data Composition HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:34:38.097802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8781dd47-db97-406b-b7fb-0bdd26ea1806 · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:39:46.510067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad2fc971-4709-4176-9bec-17a1d363601d · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:14:36.057128Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0600a6c2-c635-418a-ab54-6e8506cd573d · 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 HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 40

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

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Observation 160e101a-afc8-45b1-8456-0fc5f3d978ef · inbound

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

Learning transferable event representations for charmed baryon physics at BESIII HEP-JEPA: A foundation model for collider physics using joint embedding predictive architecture

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T13:56:45.194609Z

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