Paper Citation Record · LEDGER

Vision Transformer Adapter for Dense Predictions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2205.08534.

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

pith.paper-citation-record.v1
2205.08534 v4

Coverage vector

measured 0 of 0 reference resolution

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measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:55:06.046279Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

204
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8b5962d8-85f5-41a6-9c72-5fe108e8be87 · inbound

Uncertainty in Real-Time Semantic Segmentation on Embedded Systems cites this paper.

Uncertainty in Real-Time Semantic Segmentation on Embedded Systems Vision Transformer Adapter for Dense Predictions

Reference 13

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Observation 2b68571f-9d3b-419b-add6-4fc097ce0ed1 · inbound

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models cites this paper.

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models Vision Transformer Adapter for Dense Predictions

Reference 3

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Observation 0bc9e5cd-1996-4d7a-84a9-fd770152ec25 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Vision Transformer Adapter for Dense Predictions

Reference 189

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Observation 77cdb184-211e-4059-a2f4-499d2cd81470 · inbound

Radar-Guided Polynomial Fitting for Metric Depth Estimation cites this paper.

Radar-Guided Polynomial Fitting for Metric Depth Estimation Vision Transformer Adapter for Dense Predictions

Reference 9

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Observation 6556d8c5-c82c-40a7-bc92-66645b3e94a6 · inbound

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation cites this paper.

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation Vision Transformer Adapter for Dense Predictions

Reference 5

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Observation 190292f5-0b9c-450d-b19e-a5b00cc01660 · inbound

SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement cites this paper.

SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement Vision Transformer Adapter for Dense Predictions

Reference 13

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Observation 9167e7f9-2555-46a6-a149-6294af3d4f56 · inbound

Colorectal Cancer Tumor Grade Segmentation in Digital Histopathology Images: From Giga to Mini Challenge cites this paper.

Colorectal Cancer Tumor Grade Segmentation in Digital Histopathology Images: From Giga to Mini Challenge Vision Transformer Adapter for Dense Predictions

Reference 31

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Observation 883b2de5-6e7e-4ce7-82b9-f04d83ff57dc · inbound

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation cites this paper.

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation Vision Transformer Adapter for Dense Predictions

Reference 7

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Latest Object Memory Management for Temporally Consistent Video Instance Segmentation cites this paper.

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation Vision Transformer Adapter for Dense Predictions

Reference 4

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Observation fd56a0fa-cea4-4096-ba1e-76dd1f69161d · inbound

MPT: Motion Prompt Tuning for Micro-Expression Recognition cites this paper.

MPT: Motion Prompt Tuning for Micro-Expression Recognition Vision Transformer Adapter for Dense Predictions

Reference 44

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Observation 32a08aa5-fe12-4efd-9136-73d8ac2d416e · inbound

AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution cites this paper.

AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution Vision Transformer Adapter for Dense Predictions

Reference 10

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FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data cites this paper.

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data Vision Transformer Adapter for Dense Predictions

Reference 72

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Live(r) Die: Predicting Survival in Colorectal Liver Metastasis cites this paper.

Live(r) Die: Predicting Survival in Colorectal Liver Metastasis Vision Transformer Adapter for Dense Predictions

Reference 2019

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Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source cites this paper.

Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source Vision Transformer Adapter for Dense Predictions

Reference 1

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Observation f71c6955-8b72-454b-bed0-fdd18bea0743 · inbound

Exploring the Rashomon Set for Concept-Based Models cites this paper.

Exploring the Rashomon Set for Concept-Based Models Vision Transformer Adapter for Dense Predictions

Reference 8

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Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery cites this paper.

Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery Vision Transformer Adapter for Dense Predictions

Reference 37

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Observation e38d90e6-9bcc-45e0-9421-03e1442bddba · inbound

Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery cites this paper.

Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery Vision Transformer Adapter for Dense Predictions

Reference 37

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Observation 2dce84b2-bdbf-4550-9557-7ae51dc15dd3 · inbound

DinoRADE: Full Spectral Radar-Camera Fusion with Vision Foundation Model Features for Multi-class Object Detection in Adverse Weather cites this paper.

DinoRADE: Full Spectral Radar-Camera Fusion with Vision Foundation Model Features for Multi-class Object Detection in Adverse Weather Vision Transformer Adapter for Dense Predictions

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:46:31.376203Z

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Frequency-Enhanced Diffusion Models: Curriculum-Guided Semantic Alignment for Zero-Shot Skeleton Action Recognition cites this paper.

Frequency-Enhanced Diffusion Models: Curriculum-Guided Semantic Alignment for Zero-Shot Skeleton Action Recognition Vision Transformer Adapter for Dense Predictions

Reference 68

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Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual Path Distillation cites this paper.

Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual Path Distillation Vision Transformer Adapter for Dense Predictions

Reference 13

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HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet cites this paper.

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet Vision Transformer Adapter for Dense Predictions

Reference 3

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Observation 0f146482-5863-453a-89fa-851b8df1d7a1 · inbound

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection cites this paper.

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection Vision Transformer Adapter for Dense Predictions

Reference 47

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VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection cites this paper.

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection Vision Transformer Adapter for Dense Predictions

Reference 47

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MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning Vision Transformer Adapter for Dense Predictions

Reference 57

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Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction cites this paper.

Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction Vision Transformer Adapter for Dense Predictions

Reference 28

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Unleashing Vision Transformer Potential In Image Quality Assessment via Global-Local Adaptive Interaction cites this paper.

Unleashing Vision Transformer Potential In Image Quality Assessment via Global-Local Adaptive Interaction Vision Transformer Adapter for Dense Predictions

Reference 38

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Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation cites this paper.

Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation Vision Transformer Adapter for Dense Predictions

Reference 6

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Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model cites this paper.

Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model Vision Transformer Adapter for Dense Predictions

Reference 9

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Timage: A Generative Text-in-Image Paradigm for Fine-Tuning Vision-Language Models cites this paper.

Timage: A Generative Text-in-Image Paradigm for Fine-Tuning Vision-Language Models Vision Transformer Adapter for Dense Predictions

Reference 4

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UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion cites this paper.

UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion Vision Transformer Adapter for Dense Predictions

Reference 1

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UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion cites this paper.

UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion Vision Transformer Adapter for Dense Predictions

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State Space Models Meet Remote Sensing: A Survey cites this paper.

State Space Models Meet Remote Sensing: A Survey Vision Transformer Adapter for Dense Predictions

Reference 197

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REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling cites this paper.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Vision Transformer Adapter for Dense Predictions

Reference 5

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FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs cites this paper.

FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs Vision Transformer Adapter for Dense Predictions

Reference 6

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iFAN: Inference-Aware Learning for Plain Mask Transformers cites this paper.

iFAN: Inference-Aware Learning for Plain Mask Transformers Vision Transformer Adapter for Dense Predictions

Reference 12

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From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology cites this paper.

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology Vision Transformer Adapter for Dense Predictions

Reference 30

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LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation cites this paper.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Vision Transformer Adapter for Dense Predictions

Reference 46

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