Paper Citation Record · LEDGER

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models

As of 19 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2607.04500.

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

pith.paper-citation-record.v1
2607.04500 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T18:32:47.329159Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

11 of 11 outbound references displayed

verified exact0
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1283b372-7ff4-4fa9-b541-913633981bac · outbound

This paper cites Zero-Label Driving Scenario Complexity Detection via Joint Embedding Predictive Architecture.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models Zero-Label Driving Scenario Complexity Detection via Joint Embedding Predictive Architecture

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3952ceb-9370-4413-bebb-097244fcce4b · outbound

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

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 000ec7eb-11f6-47ca-9fac-bed41c096e0a · outbound

This paper cites OpenReview , year =.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models OpenReview , year =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d46c3187-6cb2-4131-85d4-da071914336a · outbound

This paper cites CVPR Workshop on Autonomous Driving , year =.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models CVPR Workshop on Autonomous Driving , year =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb4f777-d33e-49cc-8b99-d2276ecf7d1e · outbound

This paper cites NeurIPS Datasets and Benchmarks Track , year =.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models NeurIPS Datasets and Benchmarks Track , year =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b3b5fe-3005-457f-a216-c86c369c1c97 · outbound

This paper cites an unresolved cited work.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a940b82-0a55-45dc-b267-c87cdde713ec · outbound

This paper cites an unresolved cited work.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 351658cf-7089-4a0a-b950-b520e734b200 · outbound

This paper cites CVPR , year =.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models CVPR , year =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da90ccf-fc27-46b7-a869-f1f8a451b9b8 · outbound

This paper cites IJCAI , year =.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models IJCAI , year =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dab35ae-e7fd-4e2e-9dd8-38f64f3ff93a · outbound

This paper cites NeurIPS Workshop on Self-Supervised Learning , year =.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models NeurIPS Workshop on Self-Supervised Learning , year =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5a6414-787f-464f-91df-b2899f208387 · outbound

This paper cites Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.