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Paper Citation Record · LEDGER

SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.21293.

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

pith.paper-citation-record.v1
2407.21293 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:09:58.033485Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T21:57:26.468815Z

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 ba249d93-1aa3-4935-85e7-807f6d6a3fc0 · inbound

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:19:42.907434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T19:19:42.748573Z digest=sha256:6b59644e6c1a5ad99b5296656258fd68edb69f72c542816d78537c42150226d3

Observation 1f4f83be-989f-4da0-87a3-ee24d35ec11a · inbound

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving cites this paper.

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T19:09:58.033485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:09:58.033485Z digest=sha256:2763c43239b44e06b8759f1589a228f3b4deea51f4dd48a873eaab362e0e136d

Observation 1988d49b-a174-4b4b-b18c-77459d5a4f57 · inbound

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving cites this paper.

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T12:06:29.004692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:06:29.004692Z digest=sha256:bbcd55be432341287af17a3ce862c4a615a3dd1b8b2a53c1a08197051db9d57d

Observation 927473f2-4da5-4ec0-9fc3-2e9e9743282d · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving

Reference 147

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:26.244956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T04:13:37.421188Z digest=sha256:d1201393e7eab9258ead9e1a3dbc1803828594f9a5f31ad482b036244e114493

Observation 0ee2c62f-6c0e-4ee7-b761-d61d9a90da56 · inbound

Learning from Human Driving: A Human-in-the-Loop Online Behavior Cloning Framework for Autonomous Driving cites this paper.

Learning from Human Driving: A Human-in-the-Loop Online Behavior Cloning Framework for Autonomous Driving SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:57:26.470340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T19:19:24.865564Z digest=sha256:d04fd4bf372e1b106c7bd74c998f4018dbac7c71d43dfd522288120917302c49

Observation 806f18a5-e96e-4e23-8e3f-e72773578f11 · inbound

Vision-Language Assistant for Emotional Reactions to Risky Driving cites this paper.

Vision-Language Assistant for Emotional Reactions to Risky Driving SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T21:10:54.220195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:10:54.220195Z digest=sha256:423342c878c26e20b6f067338150e26ae66e0ca9d0f462870fcdf46b06305bf6