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Paper Citation Record · LEDGER

DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.11265.

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

pith.paper-citation-record.v1
2503.11265 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:11.687547Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:24:32.879740Z

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 edf7276f-2e30-44ec-a024-aa98c6b1ed53 · inbound

A Global-Local Cross-Attention Network for Ultra-high Resolution Remote Sensing Image Semantic Segmentation cites this paper.

A Global-Local Cross-Attention Network for Ultra-high Resolution Remote Sensing Image Semantic Segmentation DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:11.687547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:11.687547Z digest=sha256:5097d2a6b36b77866ded12fe10f98e9524cf3ab5f89207cf30d5923d5938fead

Observation 450d40da-5d96-4923-bed9-5174816d5d94 · inbound

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation cites this paper.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:29.083360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:29.083360Z digest=sha256:e7ca842259b344ce5f055b34b1df4b8f9e5f310eb13b7f54a1076fb70d85f8b2

Observation 3ee8bb0a-e822-41c6-bcdc-576194d06dd8 · inbound

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

A Survey on Vision-Language-Action Models for Autonomous Driving DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 167

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:04.922944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.922944Z digest=sha256:c147ae1024555262f405abdc1e9ce01640c52364bbf1c6bc726f9821dbd3f0fe

Observation e3019de6-5e03-476c-ab78-8cac4c8f5b47 · inbound

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control cites this paper.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:24:32.974124Z

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.

source=pdf_text observed=2026-08-06T21:24:31.535455Z digest=sha256:ce92ad1a4ea6f34dfaf506252b23759a45e0fb243d17ca653234a5ef44091683

Observation 8485d1c8-2336-4c7e-ade7-65d6837eeaea · inbound

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning cites this paper.

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T15:16:36.659461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:16:36.659461Z digest=sha256:97475042aa6cf954ad19ab4dc0a86cc5c5cee3a53fd7dc7d3e51ea92d2877ff4

Observation db5fa329-92d7-4e08-af38-bfc56d5e409a · inbound

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving cites this paper.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T17:01:45.592868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:01:45.592868Z digest=sha256:59775022301a5569dea109bf631241e76bcbce65a9af83d3bb16446853ddad3d