Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.07267.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:59.143731Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T20:42:05.682556Z
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 5d47526d-1234-42ab-842b-a39c6969ca53 · inbound
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving cites this paper.
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:17:59.143731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21da5a5b-d79b-4a30-a9b1-29b1c68fd39b · inbound
A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.
A Survey on Vision-Language-Action Models for Autonomous Driving MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving
Reference 152
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:31:04.863773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f813ce0-2054-427d-b11b-70dab2f5dd13 · inbound
MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines cites this paper.
MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:46.269978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf71a6ea-1a41-4e55-8312-241a3c0dbcf3 · inbound
MiMo-Embodied: X-Embodied Foundation Model Technical Report cites this paper.
MiMo-Embodied: X-Embodied Foundation Model Technical Report MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:42:05.684622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4d06326-d0be-4bcb-808c-0d733ac72020 · inbound
Spatial-aware Vision Language Model for Autonomous Driving cites this paper.
Spatial-aware Vision Language Model for Autonomous Driving MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:26:09.388873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.