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Paper Citation Record · LEDGER

MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2307.12698.

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

pith.paper-citation-record.v1
2307.12698 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:34.170787Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.973576Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f306c8d8-7045-4cea-81e3-66714b1fcf66 · inbound

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

Revisiting Feature Prediction for Learning Visual Representations from Video MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T12:40:23.957002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:c35377edeb0a4ccee47d8ee48c4c6668081e8888077dac52f7a9a931ea0f899c

Observation 0a7042cd-ea4c-4a35-a699-da8efef9d4e1 · inbound

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions cites this paper.

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:34.170787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:37:34.170787Z digest=sha256:2475bad8d79bc8705b55405d2477979ee0b6aedd9bb0ddf136ea61e587233c2d

Observation 5448e556-3d81-4967-9691-4fb64c98e64b · inbound

Discrete JEPA: Learning Discrete Token Representations without Reconstruction cites this paper.

Discrete JEPA: Learning Discrete Token Representations without Reconstruction MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:26.878798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:26.878798Z digest=sha256:e3a31e582b33f141af75ec9f8e7325bbbc4f4078a9df6faafc6718d9934a349c

Observation 3f154fe7-8a7e-4285-818f-64a41812df66 · inbound

A New Perspective On AI Safety Through Control Theory Methodologies cites this paper.

A New Perspective On AI Safety Through Control Theory Methodologies MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 258

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:43.354721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:43.354721Z digest=sha256:d76221cea15b5f5c2da72b50a1073c865d525c14d740024eb6ad2fe7b5d79838

Observation 9e0519e7-16ba-490d-b95d-559cc82ad6d3 · inbound

Optimisation Is Not What You Need cites this paper.

Optimisation Is Not What You Need MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:40.407852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:40.407852Z digest=sha256:9be203c5a02064435da712bfc93245743f5ad44ef529710a327c66cd0764362c

Observation e5a1de7f-2385-47d9-bf82-6c9ef42a6801 · inbound

Recurrent Video Masked Autoencoders cites this paper.

Recurrent Video Masked Autoencoders MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:58:35.826711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T21:55:42.555679Z digest=sha256:bdc1878ef236aa445d090be1a20cee4f8654226a99f579cba5edae908cfe0210

Observation c5674fad-de74-4cbb-8421-76c4abb0edad · inbound

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures cites this paper.

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:16:14.363786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T17:15:10.206481Z digest=sha256:967c5f6395c5b3ba9f2d94e13c39fde6f5021d15af03e615ba4a894ef20c6b37

Observation c4d46082-5aee-4715-931e-263716a28c51 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:35.476212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:e336a0f41a6811a9bb69a761684a59750a9187ec7abdefefa70e6badf2ac73c2

Observation c179f349-31f1-4a9f-b4fc-f00624edaa7f · inbound

SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors cites this paper.

SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:39:45.975092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T08:34:51.570849Z digest=sha256:d57b42aeb71dbfd5836a5a243bc31d91f5a14c1fdbc1d87c5be3e961e67f327b