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Paper Citation Record · LEDGER

Self Distillation via Iterative Constructive Perturbations

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.14751.

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

pith.paper-citation-record.v1
2505.14751 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:40:19.852341Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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  • verified fuzzy8
  • unresolved15
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External citation measurements

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Outbound references

Observation 5c89becb-6785-416b-a98b-ef71a599ad6c · outbound

This paper cites An Empirical Study of Training Self-Supervised Vision Transformers.

Self Distillation via Iterative Constructive Perturbations An Empirical Study of Training Self-Supervised Vision Transformers

Reference 1

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Observation 81df112d-a9b3-4383-a9cc-d630bdc4f570 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

Self Distillation via Iterative Constructive Perturbations Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 2

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Observation d708b3db-356f-4674-b38e-9974faa84c5f · outbound

This paper cites Multi-task Self-Supervised Visual Learning.

Self Distillation via Iterative Constructive Perturbations Multi-task Self-Supervised Visual Learning

Reference 3

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Observation c9004378-63ff-4e61-877c-5b0c4efa1b8f · outbound

This paper cites Born again neural networks.

Self Distillation via Iterative Constructive Perturbations Born again neural networks

Reference 4

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Observation c6cd8a55-1d19-484e-9c07-547e9af0e811 · outbound

This paper cites Unsupervised Representation Learning by Predicting Image Rotations.

Self Distillation via Iterative Constructive Perturbations Unsupervised Representation Learning by Predicting Image Rotations

Reference 5

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Observation b94a9b78-fb65-43f2-9301-c5f4bbef5850 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Self Distillation via Iterative Constructive Perturbations Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 6

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Observation 5f6da3c7-311d-4f5a-9cf5-d576818ed74e · outbound

This paper cites Deep residual learning for image recognition.

Self Distillation via Iterative Constructive Perturbations Deep residual learning for image recognition

Reference 7

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Observation 834fd440-340c-41a2-898a-0711e6fb3221 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Self Distillation via Iterative Constructive Perturbations Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 8

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Observation eb379e08-d8a0-40a6-85f3-c4ac1a498ce7 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Self Distillation via Iterative Constructive Perturbations Distilling the Knowledge in a Neural Network

Reference 9

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Observation af99f206-80b2-42e8-96f0-b526dcafdb26 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

Self Distillation via Iterative Constructive Perturbations Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 10

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Observation 4b7b6080-6d9d-4f22-96c8-cd056a7aa2e5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Self Distillation via Iterative Constructive Perturbations Adam: A Method for Stochastic Optimization

Reference 11

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Observation 84aa620d-32e3-409d-a276-f7fd4f28ac2b · outbound

This paper cites Auto-encoding vari- ational bayes, 2013.

Self Distillation via Iterative Constructive Perturbations Auto-encoding vari- ational bayes, 2013

Reference 12

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Observation a0da5ba0-ab56-43c3-b3e9-f8cad6ed6d2e · outbound

This paper cites Learning multiple layers of features from tiny images.(2009), 2009.

Self Distillation via Iterative Constructive Perturbations Learning multiple layers of features from tiny images.(2009), 2009

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 43c30965-7dc2-40f2-aa3e-db567d5fdfe9 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Self Distillation via Iterative Constructive Perturbations Imagenet classification with deep convolutional neural net- works

Reference 14

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c1105f21-f9be-43b1-9228-fe06e0501da2 · outbound

This paper cites Simple and scalable predictive uncertainty estima- tion using deep ensembles.

Self Distillation via Iterative Constructive Perturbations Simple and scalable predictive uncertainty estima- tion using deep ensembles

Reference 15

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 74d10cea-ed9b-4bc3-ad55-6461f3af5487 · outbound

This paper cites Deep learning.

Self Distillation via Iterative Constructive Perturbations Deep learning

Reference 16

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Observation bd390c90-e881-4c0a-8567-2a8b8bb286d7 · outbound

This paper cites Self-distillation amplifies regularization in hilbert space.

Self Distillation via Iterative Constructive Perturbations Self-distillation amplifies regularization in hilbert space

Reference 17

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Observation 775b8078-ed93-464f-9975-a04b96cf7c0f · outbound

This paper cites The AdEMAMix Optimizer: Better, Faster, Older.

Self Distillation via Iterative Constructive Perturbations The AdEMAMix Optimizer: Better, Faster, Older

Reference 18

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Observation 1c010f05-722b-44b6-81c3-acc79c9e2608 · outbound

This paper cites A Bayesian Perspective on Generalization and Stochastic Gradient Descent.

Self Distillation via Iterative Constructive Perturbations A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Reference 19

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Observation d8cf6b76-3a7a-4d85-8ac8-ef6c01848664 · outbound

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Self Distillation via Iterative Constructive Perturbations Unresolved cited work

Reference 20

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Observation 36c5de24-cb7f-4f2a-abe8-da3d40a71c60 · outbound

This paper cites Esrgan: En- hanced super-resolution generative adversarial networks.

Self Distillation via Iterative Constructive Perturbations Esrgan: En- hanced super-resolution generative adversarial networks

Reference 21

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Observation 97a15ee7-5c17-4ff6-bf01-97fe5c9529dd · outbound

This paper cites Snapshot Distillation: Teacher-Student Optimization in One Generation.

Self Distillation via Iterative Constructive Perturbations Snapshot Distillation: Teacher-Student Optimization in One Generation

Reference 22

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Observation 4db3097a-cc2d-4d92-8dd0-47066ef182e8 · outbound

This paper cites Regularizing Class-wise Predictions via Self-knowledge Distillation.

Self Distillation via Iterative Constructive Perturbations Regularizing Class-wise Predictions via Self-knowledge Distillation

Reference 23

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Observation ff0c34cd-ba92-45d9-8af0-0c42403d2030 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

Self Distillation via Iterative Constructive Perturbations Understanding deep learning (still) requires rethinking generalization

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be6a604d-bbd2-480c-893c-be72c9b5f6de · outbound

This paper cites Hospedales, and Huchuan Lu.

Self Distillation via Iterative Constructive Perturbations Hospedales, and Huchuan Lu

Reference 25

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Pith citing papers

No inbound Pith citation observations are available.