Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2506.07497.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:08.231458Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:28:52.737750Z
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 1f4e4ccf-3a5d-48c7-bd29-26a10afca9d9 · inbound
OmniNWM: Omniscient Driving Navigation World Models cites this paper.
OmniNWM: Omniscient Driving Navigation World Models Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:57:08.231458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc0aecb1-ed81-4793-ae62-f216b225084a · inbound
A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods cites this paper.
A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:54:39.583328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37eb6db4-a748-4454-8e71-c49ba98fabb7 · inbound
DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.
DriveLaW:Unifying Planning and Video Generation in a Latent Driving World Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T19:38:21.112262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 41783d20-7bf4-4541-b45e-20fb32be0b90 · inbound
UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models cites this paper.
UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:36:09.847931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6510c82b-a3cd-4d81-946b-6fd8ced5044a · inbound
From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation cites this paper.
From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:48:01.778224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ca8be82c-36cf-427f-82a8-afccb44d388f · inbound
CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving cites this paper.
CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:56:28.605367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cabd6262-800a-4b4f-b89c-cab10128566b · inbound
CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving cites this paper.
CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:38:00.560018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3086f0b7-76e7-4d65-9840-fb635026f0cd · inbound
Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving cites this paper.
Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:01:09.043469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 25f7670b-e538-47fb-8b7c-c1bd06464768 · inbound
Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving cites this paper.
Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:44:55.995325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0bfa4449-05bd-4707-a3ea-fe2515e5471e · inbound
OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation cites this paper.
OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T19:28:52.739321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 89427131-e1a6-4272-901f-3792c54795eb · inbound
ReWorld: Learning Better Representations for World Action Models cites this paper.
ReWorld: Learning Better Representations for World Action Models Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T18:25:58.424941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dceccfac-7cfb-4f7f-9062-8aa62f9a58a0 · inbound
UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.
UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:19:04.131379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.