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Paper Citation Record · LEDGER

GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.02205.

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

pith.paper-citation-record.v1
2402.02205 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:12.643347Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:20.622704Z

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 ebd7634f-7846-439d-a3ec-c488704bf2aa · inbound

Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models cites this paper.

Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:12.643347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:12.643347Z digest=sha256:07a28df3aa1b5d9b2ba28d70f84cbc78518807e62a4a61e1e2614d5ecba79f50

Observation 6a7a6b35-3bb4-46be-88c1-e6c1805ffcfc · inbound

Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation cites this paper.

Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T16:45:57.309457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:45:57.309457Z digest=sha256:c6f99c1f22dd6088be8c80ce29c89bc3a976af2fae1b05c4196038865b1c0469

Observation f4349460-cc18-4dff-b172-82e539a25659 · inbound

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving cites this paper.

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:11:50.835805Z

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.

source=arxiv_source observed=2026-05-18T20:10:43.416488Z digest=sha256:3a12011d7361b4f037cfdd1919172fbdc29261ba12e1a6bfdc285b2f66dd644c

Observation 0a76d70e-1e88-44f0-9a57-882509bae818 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

Reference 283

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.313292Z

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.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:9c7ad213f6c9bad8b843e8d565f1a914c96c851d66719e9df5a0d97867f8e74a

Observation 2cc11104-8153-4642-b348-1d97b75900d6 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

Reference 283

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.242792Z

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.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:a042fcf580dccc14fd9123fb90085528dbd57e77e2cca98507954c04be13f917

Observation dbaf0a08-b554-492b-8955-5ce3304b8b4b · inbound

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination cites this paper.

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:06:20.624896Z

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.

source=pdf_text observed=2026-06-28T14:39:27.242094Z digest=sha256:8875ec455623d017e4def4feff562b9cd9084aecc7794c071ff872b2be3774ef

Observation 4bdf6b72-ccce-43af-a88c-b1f8609bb29e · inbound

DispatchRAG: Grounding Emergency Dispatch Decisions in Real-World Protocols from Traffic Accident Video cites this paper.

DispatchRAG: Grounding Emergency Dispatch Decisions in Real-World Protocols from Traffic Accident Video GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T03:34:38.573004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:34:38.573004Z digest=sha256:c8b4c7b0225d6aeff550d7ad4cbc8a23af3b9a1ddd4a593b3e46342e5d88a849