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Paper Citation Record · LEDGER

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2504.16591.

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

pith.paper-citation-record.v1
2504.16591 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:03:50.178551Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d61f0b0d-3dca-41f7-9af5-337a0b4fe12d · outbound

This paper cites Human-level control through deep reinforcement learning.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Human-level control through deep reinforcement learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.295909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:03:50.147182Z digest=sha256:c6d518a47d5c402064a806a290f5d6631beee7decdf3e150557007b9ca859f6f

Observation e0fe8974-b1e2-468e-95d8-27fea1b7d2c0 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:50.151459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:03:50.151459Z digest=sha256:6e43dc3e04ac5043e610b0b3e6a232a8d118779c633bb0b07a405a2c4497dda1

Observation 7102d53e-27ea-4857-b93c-cebcbb630149 · outbound

This paper cites Curl: Contrastive unsupervised representations for reinforcement learning, 2020.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Curl: Contrastive unsupervised representations for reinforcement learning, 2020

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.286024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:03:50.155624Z digest=sha256:34eecab3ca8ebb50335a12af7b720a31eb61e83a4238c0e2d29cf155dbb76844

Observation 38ab1eaa-4736-43bf-8138-42d3f7824a63 · outbound

This paper cites Auto-encoding variational bayes.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Auto-encoding variational bayes

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.276173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:03:50.159145Z digest=sha256:3c77de15bdfe0f96ec7298b6adbfa34e92a8a1a55f0c30d1c00a08bcb1d9734a

Observation d7047046-f40d-4a85-83af-0183ee49b07b · outbound

This paper cites World models.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning World models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.266213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:03:50.162671Z digest=sha256:0b34db3a1e3322f582cc25cee672e25a523c346e94bb102afc0319493b945126

Observation 7e63779e-3de2-49b8-b1c4-c483c2b23106 · outbound

This paper cites Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.256424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:03:50.166417Z digest=sha256:f5752586a83c3b32550fea93c8729bca1addc44d8a2907398af69db62eeb74e7

Observation dbd740cf-3203-468a-9961-f7ebd35ba3c9 · outbound

This paper cites Hasimoto frames and the Gibbs measure of periodic nonlinear Schr\"odinger Equation.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Hasimoto frames and the Gibbs measure of periodic nonlinear Schr\"odinger Equation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:50.170078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:03:50.170078Z digest=sha256:574f82480ae9d3356e970ad6d423cbbaca02c464a3ef7d85445181fa09de71f5

Observation a623fa3b-ce6c-4b6d-a9b6-8b830d9df860 · outbound

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

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Bootstrap your own latent-a new approach to self-supervised learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.245315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:03:50.173062Z digest=sha256:71817efaee4ee53c99adfb1fdd44bd50f64b0129fb7a94be1d18b87f3ae7ea8b

Observation ae71f8bd-db54-4c60-885e-b05eee22e200 · outbound

This paper cites Self-supervised learning from im- ages with a joint-embedding predictive architecture.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Self-supervised learning from im- ages with a joint-embedding predictive architecture

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.235018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:03:50.175835Z digest=sha256:42674199b574a52bb177071251e2903973e356ebf043180ac0456f0b7979020c

Observation 9a1c3bab-b194-455c-977d-4ba3df7112e0 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:50.178551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:03:50.178551Z digest=sha256:1e0bccb6815aba71810230ba432581ca04cf1c23f9630dc36f75d092360abfa6

Pith citing papers

No inbound Pith citation observations are available.