Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 9 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 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:42:09.040764Z

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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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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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

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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 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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