Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:34.170787Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:39:45.973576Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation f306c8d8-7045-4cea-81e3-66714b1fcf66 · inbound
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
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.
Observation 0a7042cd-ea4c-4a35-a699-da8efef9d4e1 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5448e556-3d81-4967-9691-4fb64c98e64b · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f154fe7-8a7e-4285-818f-64a41812df66 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e0519e7-16ba-490d-b95d-559cc82ad6d3 · inbound
Optimisation Is Not What You Need MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5a1de7f-2385-47d9-bf82-6c9ef42a6801 · inbound
Recurrent Video Masked Autoencoders MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Reference 7
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.
Observation c5674fad-de74-4cbb-8421-76c4abb0edad · inbound
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
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.
Observation c4d46082-5aee-4715-931e-263716a28c51 · inbound
World Action Models: A Survey MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Reference 6
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.
Observation c179f349-31f1-4a9f-b4fc-f00624edaa7f · inbound
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
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.