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Paper Citation Record · LEDGER

Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.01957.

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

pith.paper-citation-record.v1
2310.01957 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 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:14:33.981567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:29:50.284490Z

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 edfae939-2d07-4135-93dd-8eadb27e9519 · inbound

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning cites this paper.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:18:49.522202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T03:16:03.058129Z digest=sha256:e6478cb626d900c93d4c7c1f5cf64f1fc85ebc760b957ae6ca4c779c9812c508

Observation d8cae6c8-7608-40c4-af2d-8fbfafc2e49c · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:10:40.879989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:ad6672e66e37fc5d282979e0f419b9e5f60d415462f56ed2b9cb69d6cec46c04

Observation 2f09a539-9430-4f7b-bf0a-e3c583a424a0 · 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 Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:24:23.952030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T15:24:23.756052Z digest=sha256:0dade44b5de06fc31f7e54acd6a859f537f52a261874abd8f58c83bad399b75e

Observation 7db00aeb-e6a8-4640-8b25-34ecbf99858e · inbound

Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing cites this paper.

Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T13:14:33.981567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:14:33.981567Z digest=sha256:eb52d6e0c960acfe206ccb727f9de379299dcbd75181eb768782748445cbae52

Observation 64fcc345-350a-41c4-99d8-d778cb813f88 · inbound

Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models cites this paper.

Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T15:33:48.283188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:33:48.283188Z digest=sha256:5aa8fd21a40dc8dd8baca6565d0068e87b7a4948f79669f0ec7a272102d9ed86

Observation bb2a1a28-747c-480d-a23b-ec816a9f1e06 · 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 Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:06:27.176998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T20:06:27.136345Z digest=sha256:5ac571a31ac2a3d46272690ce43bb4659d4418364093db0f66ace415cb7b6850

Observation ef8ba92c-8d42-4afd-b5d0-1c2771f2dc12 · inbound

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth cites this paper.

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:15:38.380725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:15:38.380725Z digest=sha256:7bad454350de8ac45e16eb727bd720f5105f4e25604a6bf1df3c3f5a520ad57a

Observation 3208e4ff-2c46-43c4-98ee-3ba3029e6d94 · 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 Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:53.357114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:53.357114Z digest=sha256:8f5ddc9ba07f4ae99673eaadc7dd7b2340ef019c8ecccb09cc7e428a79224202

Observation 2c97d7f4-7208-4a69-bd79-d5e52ea82be5 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T20:28:43.426121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:28:43.426121Z digest=sha256:0121dedc61be6825109ab08cd371e2adcefbeeb1da3c174ceed436947aed98da

Observation b0f5446d-54cd-4b00-bd67-26ac0ed1b95f · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T13:58:04.883581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:58:04.883581Z digest=sha256:34e7c07d81ed26b28c824727fb1070a3e07f015f787b4a7d016930cffc84c2d4

Observation 04cbf20e-9fab-4a99-8b52-8a775f2e655f · inbound

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving cites this paper.

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:31:01.130724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:36:38.627415Z digest=sha256:7331e9eceb3c699df48cb89f3ab7f7201b13da6d87a618be4059b8f447c4daad

Observation 919c90c3-0ad7-46bc-998b-e8e3e464bd24 · inbound

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:29:50.287375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T07:59:56.928938Z digest=sha256:1903011516c1fc4a7c9a86bb80f73c4139970bd70b7ac3875f12894aecbc2e51