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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:14:11.239421Z

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

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  • verified fuzzy0
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  • malformed identifier0
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T03:16:03.058129Z digest=sha256:51ee5a3863a7fea284f5c150aac8c47e3867eaa0acf030a8a32fbcee488e42ad

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:4597bd684b81e53a2f4cf6942479abc637c06cb6f425a44dbe72b8016baf9baf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T15:24:23.756052Z digest=sha256:326422ce322106b62ce3297ca00fd497a7c5b449dc5320db7c561fe216439f9c

Observation c4cdcec6-db3f-43ca-9049-603d59e658c0 · inbound

PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving cites this paper.

PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T23:56:46.378743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:56:46.378743Z digest=sha256:a1b0d9fcc7057fc08f3e102c15f9e5abb16737b68fe358c764778f1a1affba2c

Observation 9db18d6d-d502-4e07-aa67-8a6c9e5fa478 · inbound

Doe-1: Closed-Loop Autonomous Driving with Large World Model cites this paper.

Doe-1: Closed-Loop Autonomous Driving with Large World Model Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T16:55:42.188584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:55:42.188584Z digest=sha256:584bdeae7b1a16aed7b6fd66a66316a403836a452b3b515d2e34633685daeff8

Observation c7fd8d95-6c0c-4efe-badd-7c896474cd50 · inbound

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off cites this paper.

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T17:34:04.141103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:34:04.141103Z digest=sha256:65fa24dd84305343dd65313c3a7369dcc74fc562f8f77cbf3d9f3e8d70bf0569

Observation a9174a74-db69-41de-8a78-33c1b981730b · inbound

Embodied Scene Understanding for Vision Language Models via MetaVQA cites this paper.

Embodied Scene Understanding for Vision Language Models via MetaVQA Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T20:15:04.660381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:15:04.660381Z digest=sha256:19b3afe859785b982a00796d685f19dfb023a70dfbe8f541f46576c94d778c4c

Observation 5e3f322a-f091-4be9-a8fa-f2aad539c434 · inbound

Episodic memory in AI agents poses risks that should be studied and mitigated cites this paper.

Episodic memory in AI agents poses risks that should be studied and mitigated Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T17:58:17.907885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:58:17.907885Z digest=sha256:500678148e6985454ae9b86219e636f9b8894e64f81a06b6a1bb926acc85a32a

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:be235a3a30c97772c1bee5d34d8427c855b2f7cd96abbc807b429dfa0c70d174

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:ac19d599b755c81861af80827e2a40641265113cc7074d0aae43995c052be512

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T20:06:27.136345Z digest=sha256:cbea6d77bfa35ec3e56a012694a29598b3062a1511377daaebdd671ec3c58d59

Observation 327e45df-a0db-4d28-9e9d-62e3dcc93ed0 · inbound

PADriver: Towards Personalized Autonomous Driving cites this paper.

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

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:14:11.239421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:14:11.239421Z digest=sha256:c895db7dbd591ef739d0d032cd0e461398d1ff1782b66f8305a15a7b5585f685

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=sha256:35854a07d4f2b16445866e677812c4f8731704d1417ce692efdc97023190d8a0

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=sha256:43bde456d82f92fe854ce791310399483b65eaefcf193330847f49bf60e8888e

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:dcc634b24249d358a08973c30b6f191ec677fa2d3cebff858665b093e3673797

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=sha256:35b8ae1e79db324ca1cf0cf85fac83e27a5c07f8ee2d2a96aa7b2bfb7062fe6c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:36:38.627415Z digest=sha256:364efd01f11c83e9ea70027a959097a2b882e83b444c9c391c5b62d7806caa53

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T07:59:56.928938Z digest=sha256:14044f6eaabd3da64b5aeb91d040c9f10970dc7a1b15626307d95212cbbb94b5