Pith. sign in

Paper Citation Record · LEDGER

MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.07267.

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

pith.paper-citation-record.v1
2409.07267 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:26:09.388873Z

measured 0 of 1 external citation measurements

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 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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:40:54.096289Z digest=sha256:b25e2d3c32df92640c4a2d3f92ef339b8dbdf6954b29b9910edac93bd0382be2

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.

source=pdf_text observed=2026-08-03T13:26:09.388873Z digest=sha256:2046def32bea2c38185999dd1b8c34c159181d321e7f8157180e9cfbec943268