Paper Citation Record · LEDGER

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.05720.

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

pith.paper-citation-record.v1
2608.05720 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:39:32.867983Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation beef837d-5304-4529-a197-ff146b3ab192 · outbound

This paper cites 2023.XIX.026.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models 2023.XIX.026

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-08T00:39:32.815745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65bbb1aa-810d-4aee-b274-d8deee1a22d0 · outbound

This paper cites Sensorimotor World Models: Perception for Action via Inverse Dynamics.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models Sensorimotor World Models: Perception for Action via Inverse Dynamics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.822029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a868a5-d85c-4510-be7b-5610287c5f9b · outbound

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

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.833028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42810212-4665-477a-8807-9e114ef935bc · outbound

This paper cites ds denotes the task-speciﬁc physical-target dimension.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models ds denotes the task-speciﬁc physical-target dimension

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:39:33.253438Z

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 48b70421-315f-4686-9479-1d6b628f6f0e · outbound

This paper cites The action-query module forms a single query from the temporal mean of the context action embeddings and uses the latent sequence as keys and values.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models The action-query module forms a single query from the temporal mean of the context action embeddings and uses the latent sequence as keys and values

Reference 192

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:39:33.236111Z

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 02ce7373-cda4-4782-887b-78038bbe21e6 · outbound

This paper cites 12 Published as a conference paper at ICLR 2025 Y ann LeCun.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models 12 Published as a conference paper at ICLR 2025 Y ann LeCun

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.827492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d88e2fe-6a87-4127-bcfe-fd9e51485f6c · outbound

This paper cites Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:39:33.136146Z

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 897d17bf-552a-4fbd-938a-11c5688933b8 · outbound

This paper cites Aaron van den Oord, Y azhe Li, and Oriol Vinyals.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models Aaron van den Oord, Y azhe Li, and Oriol Vinyals

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.845372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c507d054-03a0-4288-abc1-e3ed926d0166 · outbound

This paper cites Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.850936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c6a4bbc-d208-42b6-9419-02e165346e79 · outbound

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

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.809493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d659385f-b7e5-4005-aad6-c547b7ef764f · outbound

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

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.797918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307e0ff8-9b1e-4fc2-9cba-5cf66c351bd2 · outbound

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

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T00:39:32.803846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 304c76e7-323e-475e-90f5-775a4b69a31f · outbound

This paper cites Table 6: Notation used in PhyLatent.

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models Table 6: Notation used in PhyLatent

Reference 2026

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:39:33.270283Z

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.

Pith citing papers

No inbound Pith citation observations are available.