Paper Citation Record · LEDGER

Multi-perspective Contrastive Logit Distillation

As of 14 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2411.10693.

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

pith.paper-citation-record.v1
2411.10693 v2

Coverage vector

measured 53 of 53 reference resolution

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measured 54 of 54 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:59:10.015083Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:59:10.923698Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 6412f661-566e-4f0d-94d5-b3831029af03 · outbound

This paper cites Knowledge distillation with the reused teacher classifier.

Multi-perspective Contrastive Logit Distillation Knowledge distillation with the reused teacher classifier

Reference 1

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Observation f3008821-cf9b-4156-85d1-94e0d25783b3 · outbound

This paper cites Learning efficient object detection mod- els with knowledge distillation.

Multi-perspective Contrastive Logit Distillation Learning efficient object detection mod- els with knowledge distillation

Reference 2

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Observation b7d034c2-789a-4c24-be7f-7b7a0008367e · outbound

This paper cites Wasserstein contrastive rep- resentation distillation.

Multi-perspective Contrastive Logit Distillation Wasserstein contrastive rep- resentation distillation

Reference 3

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Observation 5a23b52d-9abc-4467-8134-4b6d2ac23d28 · outbound

This paper cites Distilling knowledge via knowledge review.

Multi-perspective Contrastive Logit Distillation Distilling knowledge via knowledge review

Reference 4

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Observation 973a0776-232d-4ef8-bb89-55bb020fa076 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Multi-perspective Contrastive Logit Distillation A simple framework for contrastive learning of visual representations

Reference 5

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Observation fc83af9b-7778-408c-84ff-2c7b3c4168fc · outbound

This paper cites Dearkd: data-efficient early knowledge distillation for vision transformers.

Multi-perspective Contrastive Logit Distillation Dearkd: data-efficient early knowledge distillation for vision transformers

Reference 6

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Observation 23c605b6-2b38-4d91-9930-590b2b0f8c60 · outbound

This paper cites Explaining knowledge distillation by quantifying the knowl- edge.

Multi-perspective Contrastive Logit Distillation Explaining knowledge distillation by quantifying the knowl- edge

Reference 7

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Observation d26e6754-611e-4086-9264-0172581a1a97 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Multi-perspective Contrastive Logit Distillation Xception: Deep learning with depthwise separable convolutions

Reference 8

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Observation fae4b137-9ffc-4d51-9ebf-7fb6057322c5 · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

Multi-perspective Contrastive Logit Distillation An analysis of single-layer networks in unsupervised feature learning

Reference 9

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Observation a7c24bd4-9f15-459b-95c3-2ab0c52066db · outbound

This paper cites Class attention transfer based knowledge distillation.

Multi-perspective Contrastive Logit Distillation Class attention transfer based knowledge distillation

Reference 10

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Observation 245f9e30-9a0c-4cb6-a8d4-bc43916cb022 · outbound

This paper cites Learn- ing both weights and connections for efficient neural net- work.

Multi-perspective Contrastive Logit Distillation Learn- ing both weights and connections for efficient neural net- work

Reference 11

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Observation 6f0d41c4-fde5-44a9-b905-4ee700fb738f · outbound

This paper cites Deep residual learning for image recognition.

Multi-perspective Contrastive Logit Distillation Deep residual learning for image recognition

Reference 12

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Observation f3bd7262-630c-4ddf-9be0-f2f6af03152e · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Multi-perspective Contrastive Logit Distillation Momentum contrast for unsupervised visual rep- resentation learning

Reference 13

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Observation 9cb5aa90-e154-4733-8158-65b5d1decb66 · outbound

This paper cites Knowledge transfer via distillation of activation boundaries formed by hidden neurons.

Multi-perspective Contrastive Logit Distillation Knowledge transfer via distillation of activation boundaries formed by hidden neurons

Reference 14

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Observation 96a831a0-c16b-4ea3-b7d0-59cea5ea4dec · outbound

This paper cites Rethinking spa- tial dimensions of vision transformers.

Multi-perspective Contrastive Logit Distillation Rethinking spa- tial dimensions of vision transformers

Reference 15

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Observation db0b6f6f-ca02-45bd-9a45-cbee27d924ac · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Multi-perspective Contrastive Logit Distillation Distilling the Knowledge in a Neural Network

Reference 16

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Observation 1d69414b-ef63-490c-8b9b-2c61b8585dfd · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Multi-perspective Contrastive Logit Distillation MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 17

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Observation 5ff0c838-598a-453b-8b0d-c70191da4ad3 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.

Multi-perspective Contrastive Logit Distillation Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 18

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Observation 6ed3dc6f-cbd0-4537-9117-e05dbde262ab · outbound

This paper cites Multi-level logit distil- lation.

Multi-perspective Contrastive Logit Distillation Multi-level logit distil- lation

Reference 19

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Observation b155af64-0cac-4e57-8d56-b4006e3e3f53 · outbound

This paper cites Supervised contrastive learning.

Multi-perspective Contrastive Logit Distillation Supervised contrastive learning

Reference 20

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This paper cites Paraphras- ing complex network: Network compression via factor trans- fer.

Multi-perspective Contrastive Logit Distillation Paraphras- ing complex network: Network compression via factor trans- fer

Reference 21

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This paper cites Learning multiple layers of features from tiny images.

Multi-perspective Contrastive Logit Distillation Learning multiple layers of features from tiny images

Reference 22

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Observation 2a963827-a1b3-4f9d-9dc6-22aea528b03b · outbound

This paper cites Pruning Filters for Efficient ConvNets.

Multi-perspective Contrastive Logit Distillation Pruning Filters for Efficient ConvNets

Reference 23

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Observation 2c941490-2ea9-451a-bf8f-84698df5d393 · outbound

This paper cites Locality guidance for improving vision trans- formers on tiny datasets.

Multi-perspective Contrastive Logit Distillation Locality guidance for improving vision trans- formers on tiny datasets

Reference 24

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This paper cites Auto- mated knowledge distillation via monte carlo tree search.

Multi-perspective Contrastive Logit Distillation Auto- mated knowledge distillation via monte carlo tree search

Reference 25

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Observation 297f1e93-e60a-4f6d-a439-a843413030a1 · outbound

This paper cites Online knowledge distillation for efficient pose estimation.

Multi-perspective Contrastive Logit Distillation Online knowledge distillation for efficient pose estimation

Reference 26

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Observation 0e98c292-4248-43c1-b85c-63dc4361fbae · outbound

This paper cites Curriculum tem- perature for knowledge distillation.

Multi-perspective Contrastive Logit Distillation Curriculum tem- perature for knowledge distillation

Reference 27

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Observation e2d63380-409e-44c7-b9c2-f67a738a38df · outbound

This paper cites Microsoft coco: Common objects in context.

Multi-perspective Contrastive Logit Distillation Microsoft coco: Common objects in context

Reference 28

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This paper cites Function-consistent feature distillation.

Multi-perspective Contrastive Logit Distillation Function-consistent feature distillation

Reference 29

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This paper cites Im- proved knowledge distillation via teacher assistant.

Multi-perspective Contrastive Logit Distillation Im- proved knowledge distillation via teacher assistant

Reference 30

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This paper cites Tiny imagenet.

Multi-perspective Contrastive Logit Distillation Tiny imagenet

Reference 31

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This paper cites Learning deconvolution network for semantic segmentation.

Multi-perspective Contrastive Logit Distillation Learning deconvolution network for semantic segmentation

Reference 32

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Observation 44d62012-bc62-48b9-a7d8-b21d6bc47e21 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Multi-perspective Contrastive Logit Distillation Representation Learning with Contrastive Predictive Coding

Reference 33

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This paper cites You only look once: Unified, real-time object de- tection.

Multi-perspective Contrastive Logit Distillation You only look once: Unified, real-time object de- tection

Reference 34

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This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Multi-perspective Contrastive Logit Distillation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 35

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This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Multi-perspective Contrastive Logit Distillation U- net: Convolutional networks for biomedical image segmen- tation

Reference 36

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This paper cites Berg, and Li Fei-Fei.

Multi-perspective Contrastive Logit Distillation Berg, and Li Fei-Fei

Reference 37

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Multi-perspective Contrastive Logit Distillation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 38

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This paper cites Logit standardization in knowledge distillation.

Multi-perspective Contrastive Logit Distillation Logit standardization in knowledge distillation

Reference 39

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This paper cites Con- trastive representation distillation.

Multi-perspective Contrastive Logit Distillation Con- trastive representation distillation

Reference 40

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This paper cites Training data-efficient image transformers & distillation through at- tention.

Multi-perspective Contrastive Logit Distillation Training data-efficient image transformers & distillation through at- tention

Reference 41

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This paper cites Similarity-preserving knowl- edge distillation.

Multi-perspective Contrastive Logit Distillation Similarity-preserving knowl- edge distillation

Reference 42

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This paper cites Visualizing data using t-sne.

Multi-perspective Contrastive Logit Distillation Visualizing data using t-sne

Reference 43

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This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

Multi-perspective Contrastive Logit Distillation Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 44

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Observation c4b451b7-060d-4f89-a6e8-3f37c6d27f77 · outbound

This paper cites Tinyvit: Fast pretraining distillation for small vision transformers.

Multi-perspective Contrastive Logit Distillation Tinyvit: Fast pretraining distillation for small vision transformers

Reference 45

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This paper cites Detectron2.

Multi-perspective Contrastive Logit Distillation Detectron2

Reference 46

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Multi-perspective Contrastive Logit Distillation Quan- tization networks

Reference 47

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This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet.

Multi-perspective Contrastive Logit Distillation Tokens-to-token vit: Training vision transformers from scratch on imagenet

Reference 48

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This paper cites Wide Residual Networks.

Multi-perspective Contrastive Logit Distillation Wide Residual Networks

Reference 49

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This paper cites Shufflenet: An extremely efficient convolutional neural net- work for mobile devices.

Multi-perspective Contrastive Logit Distillation Shufflenet: An extremely efficient convolutional neural net- work for mobile devices

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:30:22.031925Z

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Observation 56bd3f0b-71df-455b-b407-985a00b8c64c · outbound

This paper cites Decoupled Knowledge Distillation.

Multi-perspective Contrastive Logit Distillation Decoupled Knowledge Distillation

Reference 51

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Observation eb8603c9-5355-4d40-b132-22e09fef31e2 · outbound

This paper cites DOT: A Distillation-Oriented Trainer.

Multi-perspective Contrastive Logit Distillation DOT: A Distillation-Oriented Trainer

Reference 52

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This paper cites Knowledge distillation based on transformed teacher matching.

Multi-perspective Contrastive Logit Distillation Knowledge distillation based on transformed teacher matching

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:30:22.020799Z

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Pith citing papers

Observation c37bb9d5-04e4-484f-a87b-16b22bbd6ef0 · inbound

TopKD: Top-scaled Knowledge Distillation cites this paper.

TopKD: Top-scaled Knowledge Distillation Multi-perspective Contrastive Logit Distillation

Reference 44

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Source-reported events for the cited work

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