Paper Citation Record · LEDGER

Training data-efficient image transformers & distillation through attention

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2012.12877.

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

pith.paper-citation-record.v1
2012.12877 v2

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measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:07:33.320089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:58.619569Z

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Outbound references

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Pith citing papers

Observation 62e97a20-5113-4187-b6ab-c46cfa621836 · inbound

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows cites this paper.

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Training data-efficient image transformers & distillation through attention

Reference 63

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Observation 22bc2d3f-a153-4b4c-9bd3-7594978e97e2 · inbound

Emerging Properties in Self-Supervised Vision Transformers cites this paper.

Emerging Properties in Self-Supervised Vision Transformers Training data-efficient image transformers & distillation through attention

Reference 69

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Observation 9193c30c-3234-47f1-b1c2-4371b20d77ea · inbound

BEiT: BERT Pre-Training of Image Transformers cites this paper.

BEiT: BERT Pre-Training of Image Transformers Training data-efficient image transformers & distillation through attention

Reference 16

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Observation becc204f-26cd-46e1-9856-a034bda213a9 · inbound

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications cites this paper.

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications Training data-efficient image transformers & distillation through attention

Reference 14

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Observation 4f4884d4-5a75-44c0-be61-65c2e4dc8715 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Training data-efficient image transformers & distillation through attention

Reference 140

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Observation d7a21ffb-5f57-434f-91e8-61db8eaf14fc · inbound

TOAST: Transformer Optimization using Adaptive and Simple Transformations cites this paper.

TOAST: Transformer Optimization using Adaptive and Simple Transformations Training data-efficient image transformers & distillation through attention

Reference 33

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Observation 73f363cd-db2a-4cfb-a526-1b56bdad42bd · inbound

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments cites this paper.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Training data-efficient image transformers & distillation through attention

Reference 67

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Observation ed3f86ac-51f9-49e3-a784-ef6b44ceaaf6 · inbound

Performance Analysis of Traditional VQA Models Under Limited Computational Resources cites this paper.

Performance Analysis of Traditional VQA Models Under Limited Computational Resources Training data-efficient image transformers & distillation through attention

Reference 15

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Observation 36f468b7-4ea3-481c-96c2-b99eae8add2c · inbound

Kolmogorov-Arnold Fourier Networks cites this paper.

Kolmogorov-Arnold Fourier Networks Training data-efficient image transformers & distillation through attention

Reference 25

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Observation b0c3e9b2-87dd-42ab-9730-9f4ffd65143f · inbound

From Pixels to Components: Eigenvector Masking for Visual Representation Learning cites this paper.

From Pixels to Components: Eigenvector Masking for Visual Representation Learning Training data-efficient image transformers & distillation through attention

Reference 22

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Observation a372d044-985e-4053-b65d-f8443b42bcea · inbound

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models cites this paper.

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models Training data-efficient image transformers & distillation through attention

Reference 10

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Observation 40ce7000-3c56-400f-a776-40a3d1dba4b9 · inbound

Adaptive Camera Sensor for Vision Models cites this paper.

Adaptive Camera Sensor for Vision Models Training data-efficient image transformers & distillation through attention

Reference 16

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Observation 20f06ed0-4c5f-43e0-8ae5-0951439e0639 · inbound

In Context Learning with Vision Transformers: Case Study cites this paper.

In Context Learning with Vision Transformers: Case Study Training data-efficient image transformers & distillation through attention

Reference 10

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SAAT: Synergistic Alternating Aggregation Transformer for Image Super-Resolution cites this paper.

SAAT: Synergistic Alternating Aggregation Transformer for Image Super-Resolution Training data-efficient image transformers & distillation through attention

Reference 28

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AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation cites this paper.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation Training data-efficient image transformers & distillation through attention

Reference 22

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Observation 62b3ebe3-3eb7-46b7-a31a-91ee9114fe7e · inbound

Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation cites this paper.

Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation Training data-efficient image transformers & distillation through attention

Reference 23

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Observation 37c2ffe3-2a3e-4707-a57c-152aeee783fd · inbound

MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs cites this paper.

MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs Training data-efficient image transformers & distillation through attention

Reference 15

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I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation cites this paper.

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation Training data-efficient image transformers & distillation through attention

Reference 37

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Observation f1ac5414-7926-4d57-94c5-c2f7707c129a · inbound

Efficient Learned Image Compression Through Knowledge Distillation cites this paper.

Efficient Learned Image Compression Through Knowledge Distillation Training data-efficient image transformers & distillation through attention

Reference 19

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Two-Dimensional Quantization for Geometry-Aware Audio Coding cites this paper.

Two-Dimensional Quantization for Geometry-Aware Audio Coding Training data-efficient image transformers & distillation through attention

Reference 45

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Learn from A Rationalist: Distilling Intermediate Interpretable Rationales cites this paper.

Learn from A Rationalist: Distilling Intermediate Interpretable Rationales Training data-efficient image transformers & distillation through attention

Reference 38

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CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers cites this paper.

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers Training data-efficient image transformers & distillation through attention

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:40:43.943667Z

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Observation 353d65f8-ad6f-4557-a655-6018efb041fd · inbound

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework cites this paper.

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework Training data-efficient image transformers & distillation through attention

Reference 31

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LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection cites this paper.

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection Training data-efficient image transformers & distillation through attention

Reference 32

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Spectral Vision Transformer for Efficient Tokenization with Limited Data cites this paper.

Spectral Vision Transformer for Efficient Tokenization with Limited Data Training data-efficient image transformers & distillation through attention

Reference 9

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Architecture-Aware Explanation Auditing for Industrial Visual Inspection cites this paper.

Architecture-Aware Explanation Auditing for Industrial Visual Inspection Training data-efficient image transformers & distillation through attention

Reference 20

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Architecture-Aware Explanation Auditing for Industrial Visual Inspection cites this paper.

Architecture-Aware Explanation Auditing for Industrial Visual Inspection Training data-efficient image transformers & distillation through attention

Reference 20

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Architecture-Aware Explanation Auditing for Industrial Visual Inspection cites this paper.

Architecture-Aware Explanation Auditing for Industrial Visual Inspection Training data-efficient image transformers & distillation through attention

Reference 20

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Observation 7e27a7ca-61ac-4184-ad7f-37a67bd8fca0 · inbound

FusionCell: Cross-Attentive Fusion of Layout Geometry and Netlist Topology for Standard-Cell Performance Prediction cites this paper.

FusionCell: Cross-Attentive Fusion of Layout Geometry and Netlist Topology for Standard-Cell Performance Prediction Training data-efficient image transformers & distillation through attention

Reference 15

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Tensor Memory: Fixed-Size Recurrent State for Long-Horizon Transformers cites this paper.

Tensor Memory: Fixed-Size Recurrent State for Long-Horizon Transformers Training data-efficient image transformers & distillation through attention

Reference 34

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Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Training data-efficient image transformers & distillation through attention

Reference 103

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STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning cites this paper.

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning Training data-efficient image transformers & distillation through attention

Reference 25

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Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks cites this paper.

Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks Training data-efficient image transformers & distillation through attention

Reference 9

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Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization cites this paper.

Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization Training data-efficient image transformers & distillation through attention

Reference 32

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Multimodal Fusion for Fine-Grained Classification of Breast Fibroadenoma and Phyllodes Tumors cites this paper.

Multimodal Fusion for Fine-Grained Classification of Breast Fibroadenoma and Phyllodes Tumors Training data-efficient image transformers & distillation through attention

Reference 47

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Observation b82f85eb-2240-438b-8288-e0e6ce9dd8cd · inbound

The evolution of AI from image interpretation toward scientific inference in nanoparticle electron microscopy cites this paper.

The evolution of AI from image interpretation toward scientific inference in nanoparticle electron microscopy Training data-efficient image transformers & distillation through attention

Reference 119

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