Paper Citation Record · LEDGER

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models

As of 3 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2605.09241.

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

pith.paper-citation-record.v1
2605.09241 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:02:35.203100Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:47:16.167037Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T10:15:43.970899Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy36
unresolved2
parse uncertain1
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4bf9fc2-d80c-44fd-bfdd-39e10fa7ac91 · outbound

This paper cites Recurrent World Models Facilitate Policy Evolution.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Recurrent World Models Facilitate Policy Evolution

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.363432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4766634d-c111-4473-a2df-fd6e003bc6f1 · outbound

This paper cites Mastering diverse control tasks through world models.Nature, 640(8059):647–653.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Mastering diverse control tasks through world models.Nature, 640(8059):647–653

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.358164Z

Source-reported events for the cited work

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Observation fc318391-ba82-4c2c-8d39-b0eda2db5faf · outbound

This paper cites Transformers are Sample-Efficient World Models.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Transformers are Sample-Efficient World Models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.355584Z

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Observation 2ec7b9dc-4ce6-494f-8e81-4093a529209b · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models A path towards autonomous machine intelligence version 0.9

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.344924Z

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Observation 35fd90a9-fd3c-41ec-9981-80a8b97fc820 · outbound

This paper cites Joint Embedding Predictive Architectures Focus on Slow Features.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Joint Embedding Predictive Architectures Focus on Slow Features

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.360928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e1d0d7ad-08e3-48cc-8d5d-a0c6a68b0c87 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive archi- tecture.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Self-supervised learning from images with a joint-embedding predictive archi- tecture

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.347476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d8ef3351-4259-47ef-a4f7-d3ea4d7fcc90 · outbound

This paper cites Understanding Dimensional Collapse in Con- trastive Self-supervised Learning.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Understanding Dimensional Collapse in Con- trastive Self-supervised Learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.350399Z

Source-reported events for the cited work

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Observation c4868944-35d4-405f-83b0-aab73f1030b5 · outbound

This paper cites VI- CReg: Variance-Invariance-Covariance Regulariza- tion for Self-Supervised Learning.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models VI- CReg: Variance-Invariance-Covariance Regulariza- tion for Self-Supervised Learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.353127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8cbe0dda-3e23-45c1-8d6a-9d591aeac3ae · outbound

This paper cites an unresolved cited work.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 0b65c4f5-7abf-48ae-b1d0-a52422fe896d · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.TMLR.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Revisiting Feature Prediction for Learning Visual Representations from Video.TMLR

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.399565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b6c5bb5f-55ab-42f6-ae19-275f746fee36 · outbound

This paper cites an unresolved cited work.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Unresolved cited work

Reference 11

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Observation 723798d8-1f7e-4602-888c-2048fd12b68b · outbound

This paper cites DINO-WM: World Models on Pre-trained Vi- sual Features enable Zero-shot Planning.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models DINO-WM: World Models on Pre-trained Vi- sual Features enable Zero-shot Planning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.405687Z

Source-reported events for the cited work

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Observation c21b6611-4c0d-426c-8ada-a0abc38bc5e7 · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Ar- chitecture from Pixels.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Ar- chitecture from Pixels

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.409942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3608aa70-c3ec-4b78-903d-131451471c04 · outbound

This paper cites Representation learning: A review and new perspec- tives.IEEE TPAMI, 35(8):1798–1828.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Representation learning: A review and new perspec- tives.IEEE TPAMI, 35(8):1798–1828

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.389168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9db68e8c-929e-4f1f-8c59-4a2c51ebfbde · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction.Science, 290(5500):2319–2323.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models A global geometric framework for nonlinear dimensionality reduction.Science, 290(5500):2319–2323

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.391995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2cd50e19-1f0a-48c5-a07a-759f41568aad · outbound

This paper cites Tem- poral Difference Learning for Model Predictive Con- trol.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Tem- poral Difference Learning for Model Predictive Con- trol

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.396780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4ea4c096-c69a-4d96-bad9-af7d2941de80 · outbound

This paper cites A simple framework for con- trastive learning of visual representations.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models A simple framework for con- trastive learning of visual representations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.386972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e9bdd757-896a-4760-adb4-08f91aa26d22 · outbound

This paper cites Momentum Contrast for Unsu- pervised Visual Representation Learning.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Momentum Contrast for Unsu- pervised Visual Representation Learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.407795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c7f57076-2e13-43bc-9244-d6c05c7e4e62 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Bootstrap your own latent-a new approach to self-supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.382475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 218df6e5-c63b-4040-9855-5a0b025fde9f · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Barlow twins: Self-supervised learning via redundancy reduction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.384682Z

Source-reported events for the cited work

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Observation c23fcc61-f8ea-48d8-ae1f-f1091406f825 · outbound

This paper cites Whitening for self- supervised representation learning.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Whitening for self- supervised representation learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.394274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c87f4709-1224-490d-bab8-b4b0524f57e5 · outbound

This paper cites LeJEPA: Prov- able and Scalable Self-Supervised Learning Without the Heuristics.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models LeJEPA: Prov- able and Scalable Self-Supervised Learning Without the Heuristics

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.412381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2f0fcb65-b0d2-4a52-87f2-637234b7ad54 · outbound

This paper cites Cram´ er and H.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Cram´ er and H

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.414369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6c0a82e9-d01e-4655-9c0b-beeffd89e7c5 · outbound

This paper cites Halko, P.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Halko, P

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.416692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c627f3c0-5e74-4e63-9c2e-7e981de1a969 · outbound

This paper cites Sliced and Radon Wasserstein Barycenters of Measures.Journal of Mathematical Imaging and Vision, 51(1):22–45, January 2015.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Sliced and Radon Wasserstein Barycenters of Measures.Journal of Mathematical Imaging and Vision, 51(1):22–45, January 2015

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.370559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5b4df5ba-d697-4c42-bfee-89c4a70c0cbb · outbound

This paper cites V-JEPA 2: Self- Supervised Video Models Enable Understanding, Prediction and Planning.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models V-JEPA 2: Self- Supervised Video Models Enable Understanding, Prediction and Planning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.373098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6aae66b7-da5a-470a-b69b-9a2168308b17 · outbound

This paper cites Johnson and Joram Lindenstrauss.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Johnson and Joram Lindenstrauss

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.378219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 03ab225c-005c-44c2-8d1b-b652dbecd3c3 · outbound

This paper cites Random Fea- tures for Large-Scale Kernel Machines.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Random Fea- tures for Large-Scale Kernel Machines

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.365848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1d15f9a8-88d4-438c-bc8e-8668d26b5f77 · outbound

This paper cites Exact solu- tions to the nonlinear dynamics of learning in deep linear neural networks.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Exact solu- tions to the nonlinear dynamics of learning in deep linear neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.368028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 19164392-dd89-45e4-9b91-17c399e3f0ec · outbound

This paper cites an unresolved cited work.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-12T12:31:34.380149Z

Source-reported events for the cited work

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Observation 3069b4ca-9145-4e50-accc-8fde5c9a4c23 · outbound

This paper cites DeepMind Control Suite.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models DeepMind Control Suite

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.375522Z

Source-reported events for the cited work

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Observation ed67cfcc-dab2-46a9-9f7b-0f95de21615d · outbound

This paper cites Diffusion policy: Vi- suomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10- 11):1684–1704.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Diffusion policy: Vi- suomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10- 11):1684–1704

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.419346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f5410434-b3b4-4574-8d34-c16643861073 · outbound

This paper cites OGBENCH: BENCHMARKING OFFLINE GOAL-CONDITIONED RL.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models OGBENCH: BENCHMARKING OFFLINE GOAL-CONDITIONED RL

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.432414Z

Source-reported events for the cited work

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Observation fb36d5cd-3c05-45c1-8836-41c2d47fe50b · outbound

This paper cites Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel HAZIZA, Francisco Massa, and Alaaeldin El-Noubyet al.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel HAZIZA, Francisco Massa, and Alaaeldin El-Noubyet al

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.434801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation aeb25b9d-7b50-476d-9a90-36b4ced6a2c0 · outbound

This paper cites The effective rank: A measure of effective dimensionality.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models The effective rank: A measure of effective dimensionality

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.430203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a8b458c4-1d24-4436-9a7f-f68bb3e31a7d · outbound

This paper cites Alemi, Ian Fischer, Joshua V.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Alemi, Ian Fischer, Joshua V

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.426783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b8af1294-3ccf-4ee8-a5dc-560e0896ef6b · outbound

This paper cites Uniform manifold approximation and projection.Nature Reviews Meth- ods Primers, 4(1):82.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Uniform manifold approximation and projection.Nature Reviews Meth- ods Primers, 4(1):82

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.437146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2857b194-09fe-47a1-bf0f-8c1f14201160 · outbound

This paper cites H´ enaff, Robbe L.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models H´ enaff, Robbe L

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.424087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dd202cf7-6926-46d7-84da-d25635136c05 · outbound

This paper cites AI- Generated Video Detection via Perceptual Straight- ening.

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models AI- Generated Video Detection via Perceptual Straight- ening

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:31:34.421981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 92acaf0f-6278-4c56-9061-23cf42c1394e · inbound

Delta-JEPA: Learning Action-Sensitive World Models via Latent Difference Decoding cites this paper.

Delta-JEPA: Learning Action-Sensitive World Models via Latent Difference Decoding Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T10:15:43.972367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.