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Paper Citation Record · LEDGER

Language Prompt for Autonomous Driving

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2309.04379.

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

pith.paper-citation-record.v1
2309.04379 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:20:08.714742Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.958297Z

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 2c39efe1-46df-4979-81d8-6757753614b7 · inbound

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models cites this paper.

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models Language Prompt for Autonomous Driving

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:22:35.471894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T19:22:35.305220Z digest=sha256:cb52c9d861896838d09cd0d7c416a6a2a72a1da5a00e2e8437badd1264a4fb0e

Observation ca0be5a7-9dca-4ba0-aac2-0fbdfdd13473 · inbound

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving cites this paper.

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving Language Prompt for Autonomous Driving

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:24:23.876101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T15:24:23.756052Z digest=sha256:6b24358797e052d84f82696455aba143d27eecac3d66cf59d944638a4362a943

Observation fbb17c07-8376-444f-80ba-36c06b1ebc27 · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey Language Prompt for Autonomous Driving

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-08T12:20:08.714742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:20:08.714742Z digest=sha256:5d0ebc196675ad41d0fcbc10e8944d2c6ab9b360b8d11d741b871b90b0e49abd

Observation 600bb737-0917-41ea-a07a-97ac84f72fd9 · inbound

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning cites this paper.

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning Language Prompt for Autonomous Driving

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:06:27.255485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T20:06:27.136345Z digest=sha256:28f1a56ad8e1272653cf7701cafc445d6ac257aec85796046b1195fb94f2373c

Observation 6b766470-5748-44f5-891c-013d71e87bed · inbound

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks cites this paper.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Language Prompt for Autonomous Driving

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:29.686171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:02:29.686171Z digest=sha256:b72a69f0b39d33c63d0044a4418fbaf0aa5d62edae2c486c22e2096f6257e8e1

Observation d4d4728f-31d8-4f3d-9841-ad1047878d71 · inbound

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models cites this paper.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models Language Prompt for Autonomous Driving

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:57.928597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:57.928597Z digest=sha256:e78a7d869f282d1ce99a1fd71ea134dcb21f0740f9707cebe8384dbd4249ad73

Observation 3549af17-0165-413f-b7a4-95ff914d4f39 · inbound

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving cites this paper.

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving Language Prompt for Autonomous Driving

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:20:50.430968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T00:16:35.823270Z digest=sha256:aed098c9c26fbf12141b1a48f5fbcf901e33c14cc6d480ef207dec43fd2a1eaf

Observation d3226104-a5dd-4a92-9eed-c93be7642c20 · inbound

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions cites this paper.

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions Language Prompt for Autonomous Driving

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T04:49:29.281536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:29.281536Z digest=sha256:599fd3624299df0b2f8dea1491d9feb6ad16db856db8d68d7be694025c51f4e7

Observation 13e19500-827b-4e73-9199-aba13927bfa1 · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Language Prompt for Autonomous Driving

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:41.935007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:41.935007Z digest=sha256:d031297c7e108d0a3a20a4c34b1804290c90efcfd9c2c44f35353fe5ff6d8b32

Observation 314d67fa-8802-4423-b862-4b8c77cefaf3 · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test Language Prompt for Autonomous Driving

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-05T13:58:11.492169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:58:11.492169Z digest=sha256:cb27e6e191e7f4762bd2da0f86d1bfffc12e62ea5b29d53afd1edcd1236e4d5d

Observation 7cef3d21-99ec-4964-a96c-1ca24544e3da · inbound

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance cites this paper.

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance Language Prompt for Autonomous Driving

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T20:33:35.435043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:33:35.435043Z digest=sha256:abe01ab5e89eb02d1759e5a4d93781a8be29a5558108162daa6481a158ee7e63

Observation a4ea0f46-09d1-46bf-8910-c64c26598dd3 · inbound

SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining cites this paper.

SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining Language Prompt for Autonomous Driving

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:41.961727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T13:02:40.990059Z digest=sha256:cedd711e35a3f3431c04ded20affbf06684970a9c540ec435d24395d1f495b1a