Paper Citation Record · LEDGER

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 6 inbound Pith citation observations for arXiv:2506.05883.

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

pith.paper-citation-record.v1
2506.05883 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:37.155533Z

measured 20 of 20 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:12:28.565090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:02:46.934447Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy5
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aaf111c-0015-400e-95b6-195e1789067d · outbound

This paper cites Qwen2.5-VL Technical Report.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Qwen2.5-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:35.974514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 234b758d-13b7-4279-bb4f-69ab2e2b4c1b · outbound

This paper cites Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:17:38.126413Z

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.

Observation 498bbcf9-55e1-4e33-a5b3-86479a254546 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:36.133717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4348ceac-57e5-4328-9fa5-966bd156d144 · outbound

This paper cites Vad: Vectorized scene representa- tion for efficient autonomous driving.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Vad: Vectorized scene representa- tion for efficient autonomous driving

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:36.227403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19b53aff-7b85-46c1-a293-1a2b827d9b71 · outbound

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

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:36.360513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91321a4-5de0-4db9-a954-38ba7e17d20d · outbound

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

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:36.438890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2304d855-f9e5-40ac-b922-144a0fd49286 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Efficient memory management for large language model serving with pagedattention

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:17:37.929342Z

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.

Observation c22b8cf3-ddea-49d7-9c4f-f521de0ff169 · outbound

This paper cites Devel- oping and validating an adaptive multi-layer vehicle trajec- tory reconstruction method for outlier removal.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Devel- oping and validating an adaptive multi-layer vehicle trajec- tory reconstruction method for outlier removal

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:17:37.766009Z

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.

Observation 01b998b6-db5c-46e2-ba5c-f471d07c37a1 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios A Survey on Hallucination in Large Vision-Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:36.697142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f115ff-35e1-4d31-8147-1e959cd0d3c4 · outbound

This paper cites Deepspeed: System optimizations enable train- ing deep learning models with over 100 billion parameters.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Deepspeed: System optimizations enable train- ing deep learning models with over 100 billion parameters

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:17:37.581196Z

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.

Observation e3817ae6-5dd3-46b2-b250-d6665932e4ec · outbound

This paper cites What is a savitzky-golay filter?[lecture notes].

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios What is a savitzky-golay filter?[lecture notes]

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:17:37.383036Z

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.

Observation 52cd9536-bc1e-4d43-9145-a5a67e8ea63b · outbound

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

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:36.953338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65c632d-b867-4fd9-908f-a239a630fecd · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:37.060777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b0c53d-3b16-49f2-b38a-c0d8564911ac · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:37.155533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f4793115-5db0-4ddb-a436-315f54075697 · inbound

NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning cites this paper.

NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T21:12:28.565090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26871c1-1573-49e7-9ba9-76229a56de1f · inbound

Action Emergence from Streaming Intent cites this paper.

Action Emergence from Streaming Intent HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:59.109706Z

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.

Observation 1da9637a-cbdc-42c7-8af0-cd541d13d649 · inbound

Action Emergence from Streaming Intent cites this paper.

Action Emergence from Streaming Intent HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:15:02.933927Z

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.

Observation 885f1345-7842-4f9b-8277-6f1ed710cde2 · inbound

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving cites this paper.

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:28.338032Z

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.

Observation 37a9b975-654b-4b0f-a209-1fc136e6f53a · inbound

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving cites this paper.

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:09:45.390320Z

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.

Observation e0dada4d-c031-46c6-8470-896fd16e5ef0 · inbound

NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving cites this paper.

NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.935701Z

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.