Paper Citation Record · LEDGER

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2412.15544.

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

pith.paper-citation-record.v1
2412.15544 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:40:47.335989Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T11:41:02.586060Z

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 58f4aa1f-e3bd-4561-ae73-8b69edcf6da4 · inbound

SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling cites this paper.

SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:47.335989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c46c8d11-f331-4e38-8b22-09967ed31c8b · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:04.482447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5915ce-7eb7-47b9-893a-10c4cb984cb7 · inbound

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models cites this paper.

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:53.704274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c4480c-62e3-4933-a1c5-481fa5d4ee31 · inbound

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance cites this paper.

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:51.136342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57e86bd-7545-46b9-8b81-d17fe70ea8f7 · inbound

AutoNeural: Co-Designing Vision-Language Models for NPU Inference cites this paper.

AutoNeural: Co-Designing Vision-Language Models for NPU Inference VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T18:56:58.078201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa3a8c6-6904-4002-94b6-e498c2a4ccf4 · inbound

AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement cites this paper.

AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T22:40:19.969447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b1b85c-1c3d-45b4-bf9b-b9239330a597 · inbound

SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units cites this paper.

SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:04.630341Z

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.

Observation dec2d05e-bc38-4115-874d-5fe13a9604cf · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-07-05T11:41:02.587922Z

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.

Observation 762982d2-7824-4920-86da-e02d1c584585 · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:10.323450Z

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.

Observation 2fe49ae3-9b5c-49d6-a295-1261ba8bbf74 · inbound

Language-Driven Cost Optimization for Autonomous Driving cites this paper.

Language-Driven Cost Optimization for Autonomous Driving VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:17:40.113249Z

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.

Observation 07ea0aa7-5160-4499-a7c5-007f0a15717c · inbound

Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models cites this paper.

Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:17:36.743391Z

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.