Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.11198.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:42.902690Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:06:13.797390Z
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 ac5b25be-eb94-4d8b-a35f-de8e19f1f6cc · inbound
GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving cites this paper.
GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:48:22.339230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e64e1309-a665-4a08-8dff-aa00159e5cea · inbound
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control cites this paper.
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:13:42.902690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da65dc62-cd75-4d42-b702-276a4d3cc2e8 · inbound
Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation cites this paper.
Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:19:11.673125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d9971b4-40b9-40d2-a10e-e34611b53554 · inbound
How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction cites this paper.
How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:19:47.034828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 645d106c-2757-4d39-905c-4faf702b1677 · inbound
Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends cites this paper.
Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Reference 211
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:06:13.799031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e209b637-182d-4001-a185-e1286e9b4871 · inbound
Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation cites this paper.
Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:55:45.953730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.