Paper Citation Record · LEDGER

Self Distillation via Iterative Constructive Perturbations

As of 23 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

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

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

25 of 25 outbound references displayed

verified exact2
verified fuzzy8
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:17.417495Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:17.467569Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:40:20.199766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:21.568676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:17.834072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:18.003900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:21.439076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:18.329890Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:18.456520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:18.606750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:18.780038Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:18.893467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:21.275013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:21.097276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:20.906203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

This paper cites Deep learning.

Self Distillation via Iterative Constructive Perturbations Deep learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:19.169093Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:20.619584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:19.328930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:19.437886Z

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

This paper cites an unresolved cited work.

Self Distillation via Iterative Constructive Perturbations Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:19.501070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:19.560566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:19.630996Z

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Unavailable: canonical work link unavailable.

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

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:40:19.993490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:20.477184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:40:20.363479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.