Paper Citation Record · LEDGER

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.08173.

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

pith.paper-citation-record.v1
2505.08173 v1

Coverage vector

measured 40 of 40 reference resolution

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measured 40 of 40 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation fd43f97c-4712-45e5-afb8-1110878a2b07 · outbound

This paper cites Cuda: Curriculum of data augmentation for long-tailed recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Cuda: Curriculum of data augmentation for long-tailed recognition

Reference 1

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Observation 792afb3f-f5af-430e-adb6-f206062d88bb · outbound

This paper cites Reslt: Residual learn- ing for long-tailed recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Reslt: Residual learn- ing for long-tailed recognition

Reference 8

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Observation 6a6a1467-9409-465d-a9d6-73d2b6ee9d05 · outbound

This paper cites Generalized para- metric contrastive learning.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Generalized para- metric contrastive learning

Reference 9

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Observation c5d473d1-9f3b-4844-ac14-8830fe7bd661 · outbound

This paper cites Lpt: Long-tailed prompt tuning for image classification.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Lpt: Long-tailed prompt tuning for image classification

Reference 10

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Observation 0fb76a50-082a-49f9-ba12-2fc9abef9c8a · outbound

This paper cites Global and local mix- ture consistency cumulative learning for long-tailed visual recognitions.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Global and local mix- ture consistency cumulative learning for long-tailed visual recognitions

Reference 11

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Observation 41df7bf1-d24a-48a8-97ff-c5bcf9f7c6c2 · outbound

This paper cites Deep residual learning for image recog- nition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Deep residual learning for image recog- nition

Reference 12

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Observation 5e2244d8-63b8-41fe-b8d8-6ad7ca80f064 · outbound

This paper cites Disentangling label distribution for long- tailed visual recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Disentangling label distribution for long- tailed visual recognition

Reference 13

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Observation 27f806e1-fdf9-4098-b4a8-6a32f1117414 · outbound

This paper cites Decoupling representation and classi- fier for long-tailed recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Decoupling representation and classi- fier for long-tailed recognition

Reference 15

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This paper cites Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition

Reference 16

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Observation 97be1b2d-79d9-40ea-ae40-073d7c55baf1 · outbound

This paper cites Cross-modal causal relational reasoning for event-level vi- sual question answering.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Cross-modal causal relational reasoning for event-level vi- sual question answering

Reference 18

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Observation 0e1c1fda-eab3-46fc-b1d2-369ae39d16ff · outbound

This paper cites Causality-inspired invariant representation learning for text-based person retrieval.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Causality-inspired invariant representation learning for text-based person retrieval

Reference 19

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Observation 3b14f42d-253b-4f73-9639-1d8c426e3bd4 · outbound

This paper cites Causality inspired representation learning for domain generalization.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Causality inspired representation learning for domain generalization

Reference 20

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Observation 63b29e32-ea16-47fd-943a-3d21eab498a5 · outbound

This paper cites Ex- ploring the limits of weakly supervised pretraining.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Ex- ploring the limits of weakly supervised pretraining

Reference 21

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Observation 4645aba3-fe6c-4101-be54-de434ca848fe · outbound

This paper cites Cadet: a causal disentan- glement approach for robust trajectory prediction in au- tonomous driving.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Cadet: a causal disentan- glement approach for robust trajectory prediction in au- tonomous driving

Reference 23

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Observation f7684c61-8534-400b-8a79-2a3900576d41 · outbound

This paper cites Deit-lt: Distillation strikes back for vi- sion transformer training on long-tailed datasets.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Deit-lt: Distillation strikes back for vi- sion transformer training on long-tailed datasets

Reference 24

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Observation 4f30df96-56d3-49c2-8c9d-6408a2eb160a · outbound

This paper cites Balanced meta-softmax for long- tailed visual recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Balanced meta-softmax for long- tailed visual recognition

Reference 25

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Observation bf6ce192-13c8-42a8-9702-6f2775e9422a · outbound

This paper cites Grad-cam: visual explanations from deep networks via gradient-based localization.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Grad-cam: visual explanations from deep networks via gradient-based localization

Reference 26

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This paper cites Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Reference 27

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This paper cites Unbiased scene graph genera- tion via two-stage causal modeling.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Unbiased scene graph genera- tion via two-stage causal modeling

Reference 28

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This paper cites Long-tailed classification by keeping the good and removing the bad momentum causal ef- fect.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Long-tailed classification by keeping the good and removing the bad momentum causal ef- fect

Reference 29

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Observation e1c654e1-081f-45ae-8f8d-330aec0a2851 · outbound

This paper cites Vl-ltr: Learning class- wise visual-linguistic representation for long-tailed visual recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Vl-ltr: Learning class- wise visual-linguistic representation for long-tailed visual recognition

Reference 30

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This paper cites Learning imbalanced data with vision transformers.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Learning imbalanced data with vision transformers

Reference 31

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This paper cites Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Reference 32

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Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Context de- confounded emotion recognition

Reference 34

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This paper cites Deep long-tailed learn- ing: A survey.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Deep long-tailed learn- ing: A survey

Reference 35

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This paper cites Bi-causal: Group activ- ity recognition via bidirectional causality.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Bi-causal: Group activ- ity recognition via bidirectional causality

Reference 36

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This paper cites Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition

Reference 37

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This paper cites Pareto deep long-tailed recognition: A conflict- averse solution.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Pareto deep long-tailed recognition: A conflict- averse solution

Reference 38

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Observation b8fdc0c1-3f08-413d-a97a-4f42be13fb61 · outbound

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Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Cross-domain empirical risk min- imization for unbiased long-tailed classification

Reference 39

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Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Generalized logit adjustment: Calibrat- ing fine-tuned models by removing label bias in founda- tion models

Reference 40

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This paper cites Learning imbalanced datasets with label-distribution-aware margin loss.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Learning imbalanced datasets with label-distribution-aware margin loss

Reference 2012

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Observation 30a96769-e4fe-4e4d-b6c2-e346339fee87 · outbound

This paper cites Causal attention for vision-language tasks.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Causal attention for vision-language tasks

Reference 2015

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This paper cites Transfer knowledge from head to tail: Uncertainty calibration under long-tailed distribution.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Transfer knowledge from head to tail: Uncertainty calibration under long-tailed distribution

Reference 2016

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This paper cites Causal transportability for visual recognition.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Causal transportability for visual recognition

Reference 2018

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This paper cites Deep-based ingredient recognition for cooking recipe re- trieval.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Deep-based ingredient recognition for cooking recipe re- trieval

Reference 2019

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This paper cites Scalable K-Means++.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Scalable K-Means++

Reference 2020

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Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Visual prompt tuning

Reference 2021

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Observation a7aa85f1-c5aa-4a25-857c-6953a5246e8a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2022

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Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Class-balanced loss based on effective number of samples

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:20.529384Z

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Observation 98540031-c0f3-4f98-b924-6bc0af3cef7c · outbound

This paper cites Contextual debiasing for vi- sual recognition with causal mechanisms.

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Contextual debiasing for vi- sual recognition with causal mechanisms

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:20.393010Z

Source-reported events for the cited work

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