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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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:30:21.899404Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

Resolution
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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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Source-reported events for the cited work

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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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Observation ffb6b1bf-9df7-4c30-846e-b430ece2c293 · outbound

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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Observation dbbb43a4-162b-4380-bc2d-0719df3616f3 · outbound

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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Source-reported events for the cited work

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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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Observation 96ad6921-6ad1-45d5-b12d-a48647096770 · outbound

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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Observation 3d6aff53-a057-4fae-afc6-73087dec4a91 · outbound

This paper cites Function-consistent feature distillation.

Multi-perspective Contrastive Logit Distillation Function-consistent feature distillation

Reference 29

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Observation da52a485-0919-475b-9db8-590f888ba0c8 · outbound

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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Source-reported events for the cited work

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Observation f854a23a-76cb-42c7-b8c5-2fa28928f78b · outbound

This paper cites Tiny imagenet.

Multi-perspective Contrastive Logit Distillation Tiny imagenet

Reference 31

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Source-reported events for the cited work

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Observation f3aa675e-5b35-4ac5-ad2a-92348099210e · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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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Observation 86a7c0b0-49ed-410b-b021-f343c0e15aee · outbound

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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Source-reported events for the cited work

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Observation 5bedb6a2-d542-4d8e-9aeb-ad1933257da7 · outbound

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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Observation 8e23a08c-0de8-48a2-9e2b-0f7b7d4f013f · outbound

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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Observation 0c799341-3a77-42db-b8f3-54970d286928 · outbound

This paper cites Berg, and Li Fei-Fei.

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

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.835274Z digest=sha256:1da3fcb6fa8e5a7db1db94790d1006e4940b8ee39be5e567e9c3efa439043b81

Observation 511e79b9-991e-45d4-885d-4d1bce8f2c68 · outbound

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:30:21.839114Z digest=sha256:cd753292b12b31e048640c80c7946b2453a03bdaa372890be522e0a9b2a5a94f

Observation f332ae65-fbaf-48c7-bee8-765a4692a017 · outbound

This paper cites Logit standardization in knowledge distillation.

Multi-perspective Contrastive Logit Distillation Logit standardization in knowledge distillation

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-12T19:30:22.144614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.843399Z digest=sha256:48274f1b0fd7f2a09feb121deff67398efa9bd910b0f4da3f944a3ad91779dbf

Observation 4eecd238-f997-4548-b4ad-2f8fe897d1a5 · outbound

This paper cites Con- trastive representation distillation.

Multi-perspective Contrastive Logit Distillation Con- trastive representation distillation

Reference 40

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raw_fallback, observed 2026-08-12T19:30:22.130592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.847198Z digest=sha256:9ad865aa1a40b31962900fc34211da652311794f53b63e7ebff1dc0efa24c09a

Observation 57c8107d-fdbf-4336-8f5a-d78ab92ae5b8 · outbound

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:30:21.850919Z digest=sha256:c9bf11182c8847500c9fe85f70234e6406edab4495e96b1a59c98bb41cbf2f49

Observation 05ee9ae9-2729-4c12-b2c7-6223e9522e56 · outbound

This paper cites Similarity-preserving knowl- edge distillation.

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

Reference 42

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no resolver link, observed 2026-08-12T19:30:21.855009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:30:21.855009Z digest=sha256:b63fcab70d5fe44afe4b5927c714c696cfea231d680a3f671ff319c07554d487

Observation 7576c640-17c8-4237-9c33-1d6ffed37962 · outbound

This paper cites Visualizing data using t-sne.

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

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:22.096033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.859381Z digest=sha256:db167ffbf0b607621e2ada788811f2c412900bf8af92c832661eb1f278069071

Observation 7bf40549-2e1d-4c03-969a-f31e7e60d9fd · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:22.083899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.863083Z digest=sha256:c5b0b5ed1ad51385f012a3f9dd6b70bbd4b63aa0237a17a03a64dc0a624facc3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:22.071292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.866946Z digest=sha256:5e2c18a7507952320f4e2e14485b032b686418fd3f03c4a4e85a48f5a507a6ae

Observation 919ed2fe-4663-4bca-9f1c-f4bc87d0fad5 · outbound

This paper cites Detectron2.

Multi-perspective Contrastive Logit Distillation Detectron2

Reference 46

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no resolver link, observed 2026-08-12T19:30:21.870740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:30:21.870740Z digest=sha256:5baf0baacf289ad4eefcf35b37476f02976468924d2b216c30aabe091bc4063f

Observation 0cd93875-0189-4c58-b01d-efb46d458a0f · outbound

This paper cites Quan- tization networks.

Multi-perspective Contrastive Logit Distillation Quan- tization networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:30:22.051242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.875106Z digest=sha256:596ced4db309cc201b6892f1b0e9b35ecfcfb6d972087f8a2b33c061cda8ebe4

Observation 7081f43a-5299-480e-9bb1-ce48d1dd7378 · outbound

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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no resolver link, observed 2026-08-12T19:30:21.879380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:30:21.879380Z digest=sha256:18a05fb358320776604f2c0d9423dda4ba019e1c1754a0a16d10547c260a4bcc

Observation c0cbfbc0-cd64-400f-8b0c-13392a94e878 · outbound

This paper cites Wide Residual Networks.

Multi-perspective Contrastive Logit Distillation Wide Residual Networks

Reference 49

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no resolver link, observed 2026-08-12T19:30:21.883183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:30:21.883183Z digest=sha256:04621c5e6ca70339f545a513ba3b64a000b15e8a9ebd82821b1e523cd99c2998

Observation e8e58c50-ff05-4d34-9132-da1179d60e1d · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.887361Z digest=sha256:7bb68b9e2cdec578840feee44c247a785ecaa657f18a057e5ebefa5805320fd4

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:30:21.891323Z digest=sha256:fa499af0c1545157fa76f3155b8b1c84e855179a909c4f3e9982c6a43d5349ac

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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verified exact
local_arxiv, observed 2026-08-12T19:30:21.936297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.895257Z digest=sha256:738bab4a0af738487eafb01e1051768ce7caa18bb1dd8fed9b6efb9adc91bfde

Observation 02aa63a4-ecca-41ae-bf2f-097f3d292730 · outbound

This paper cites Knowledge distillation based on transformed teacher matching.

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

Reference 53

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:30:21.899404Z digest=sha256:c0210ff53b1da5b0cdfb055a245174ea4e4568b33e6bc9930df435d31ab4c94f

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

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:59:10.959466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:59:10.015083Z digest=sha256:44baf8e7e4f50297ff41657f232abf49e249870ee50891e96179553b70995cdc