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Paper Citation Record · LEDGER

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.04348.

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

pith.paper-citation-record.v1
2504.04348 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:49.132849Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T20:16:29.471513Z

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 18b42b33-ce04-46c0-8244-7d63b25bcdfb · inbound

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation cites this paper.

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:49.132849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:49.132849Z digest=sha256:ee2a68324025a803e567d85e129bf0294c47f185179731a33c0c5ca18e97010a

Observation de5a56e3-23cf-4361-8938-c9a85036f4c4 · inbound

Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving cites this paper.

Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:17:19.203693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:19.203693Z digest=sha256:13f9a7adf75536f5251163d8bf6e601770b55d0544f23e73cfb4c9b4c85442ea

Observation 3264f8e7-5377-4bc5-afc9-7a16647e66b9 · inbound

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:00:48.179720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T02:59:09.920153Z digest=sha256:5a3208aaad0ccb044a47f1fcd5bcf57085e38d3d59bbaeecbb772a1b3e8dcc97

Observation 99e06411-d6e0-44e1-a54a-c805b589b356 · inbound

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving cites this paper.

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-09T20:16:29.472795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T20:11:02.051543Z digest=sha256:51d4ce1d6d5187995c8cc8a771667a2e8e96b7b9a17dc37ad35ec15fbc8665f2