Paper Citation Record · LEDGER

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2504.14307.

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

pith.paper-citation-record.v1
2504.14307 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:56:26.629636Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

45 of 45 outbound references displayed

verified exact0
verified fuzzy31
unresolved12
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5d3ebd2-1a96-4e4a-910b-a2796db5bccc · outbound

This paper cites ICLR (2020).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation ICLR (2020)

Reference 1

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Observation 816a6fb7-641b-481f-b309-fd449a693afd · outbound

This paper cites In: ESANN (2013).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: ESANN (2013)

Reference 2

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Observation e7e92e62-1631-4fa5-8e91-9512a06bde6b · outbound

This paper cites In: IEEE/CVF CVPRw (2023).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: IEEE/CVF CVPRw (2023)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.346420Z

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Observation 92a1cb02-b8dd-40b8-8592-68c6cc175817 · outbound

This paper cites Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation

Reference 4

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Observation 979b8a69-7afb-455d-b92e-175a0e70b239 · outbound

This paper cites In: Proceedings of the 12th ACM SIGKDD.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: Proceedings of the 12th ACM SIGKDD

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.329845Z

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Observation 4c088c1a-d5c2-4143-a0c8-94dbddc06b85 · outbound

This paper cites In: Neural IPS Datasets and Benchmarks Track (2023).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: Neural IPS Datasets and Benchmarks Track (2023)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.314376Z

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Observation 4ffe7689-9190-404e-9968-3ebd2cc9cdba · outbound

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Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Unresolved cited work

Reference 7

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Observation 1a293599-7d32-42a4-8c94-0f1f75fcf27e · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica (2019).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation IEEE/CAA Journal of Automatica Sinica (2019)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.280844Z

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Observation 635f33ac-0bf5-4e80-9df6-fa8552a1e172 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Deep Ensembles: A Loss Landscape Perspective

Reference 9

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Observation 12ea5d28-0bb3-4fa9-8649-41cdc1c3e908 · outbound

This paper cites In: ICML (2018).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: ICML (2018)

Reference 10

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Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Unresolved cited work

Reference 11

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Observation fe0ffe74-33da-48e7-ac7c-0a7f1b124174 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Distilling the Knowledge in a Neural Network

Reference 12

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Observation d05c172f-0fea-46a8-b08e-3a92187088a5 · outbound

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Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Unresolved cited work

Reference 13

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Observation 7d198503-429a-44d6-aaad-570e90fc222e · outbound

This paper cites SAC '23, ACM (2023).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation SAC '23, ACM (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.227605Z

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Observation b542bccd-a9ec-45d5-af02-63ab8de055d0 · outbound

This paper cites ESWA 235 (2024).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation ESWA 235 (2024)

Reference 15

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Observation 9f292768-a038-422d-9214-37d96b9effa6 · outbound

This paper cites IEEE JSTSP (2016).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation IEEE JSTSP (2016)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.193524Z

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Observation 15cc6f83-f65a-495e-88be-1ff1ac5dc12d · outbound

This paper cites In: NeurIPS 2017.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: NeurIPS 2017

Reference 17

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Observation 8ea454d3-93b8-4558-ab37-97ecd903315b · outbound

This paper cites In: ICLR 2024.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: ICLR 2024

Reference 18

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Observation ab05f18b-7c19-4315-a9af-69b83d3ea96a · outbound

This paper cites IEEE TNNLS (2023).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation IEEE TNNLS (2023)

Reference 19

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Observation a8b69d50-a6e8-4bb5-9a57-8a71fa73422e · outbound

This paper cites et al.: Ensembles of low-rank expert adapters (2025),.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation et al.: Ensembles of low-rank expert adapters (2025),

Reference 20

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Observation 864a8b53-5985-4c23-834a-eeda3fc185db · outbound

This paper cites learning (2021).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation learning (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.114836Z

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Observation 9a618106-cdbb-4ee0-9326-bb542100d92b · outbound

This paper cites In: IEEE EMBC 2018.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: IEEE EMBC 2018

Reference 22

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Observation f34a34e8-ed32-49e2-9c30-26c230f06585 · outbound

This paper cites In: IEEE ACIIw 2017.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: IEEE ACIIw 2017

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.082592Z

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Observation 8b365105-d0b8-409e-bef9-3cb1a109d4f5 · outbound

This paper cites Frontiers in Physiology 14 (2023).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Frontiers in Physiology 14 (2023)

Reference 24

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Observation 46cac7d6-abde-4f6d-882d-3dd8a55e09c7 · outbound

This paper cites Self-Distillation Amplifies Regularization in Hilbert Space.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Self-Distillation Amplifies Regularization in Hilbert Space

Reference 25

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This paper cites In: NeurIPS 2019.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: NeurIPS 2019

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.050755Z

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Observation 927f9cbd-affe-46d9-a7b1-4ef5173c7ac0 · outbound

This paper cites In: CVPR '19.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: CVPR '19

Reference 27

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This paper cites PlusOne Journal 2021.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation PlusOne Journal 2021

Reference 28

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Observation 1fee8723-77cc-45c6-bae1-dcd87b6e0fbe · outbound

This paper cites In: ICLR 2015.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: ICLR 2015

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:27.004685Z

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Observation c288d866-825f-4dbb-941f-d3c9ee3b1dce · outbound

This paper cites AAAI 38(13), 14875--14885 (Mar 2024).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation AAAI 38(13), 14875--14885 (Mar 2024)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.988191Z

Source-reported events for the cited work

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Observation 2f11a176-77c4-45a8-a930-6362e264102b · outbound

This paper cites Springer International Publishing, ICOST (2022).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Springer International Publishing, ICOST (2022)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.972076Z

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Observation 2b3ae51e-fee1-4a50-9029-7349ef6a6873 · outbound

This paper cites Does Knowledge Distillation Really Work?.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Does Knowledge Distillation Really Work?

Reference 32

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Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Sensors 19, 4503 (2019)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.955960Z

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Observation e87e5264-91d3-4c4d-a60b-b67d354376e3 · outbound

This paper cites Frontiers in Physiology 2022.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Frontiers in Physiology 2022

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.940528Z

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Observation d82feb25-a595-465c-8fe6-35a3529b07b8 · outbound

This paper cites In: IEEE ICC 2013.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: IEEE ICC 2013

Reference 35

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Observation f5f97919-1d93-46a9-b4ee-19a880920842 · outbound

This paper cites In: 42nd IEEE EMBC (2020).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: 42nd IEEE EMBC (2020)

Reference 36

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This paper cites IEEE TAC 2016.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation IEEE TAC 2016

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.890508Z

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Observation 2869708a-9faa-4466-a5f4-b7ef0d5be744 · outbound

This paper cites In: ICPR 2014.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: ICPR 2014

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.873398Z

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Observation 9329f4c8-7c27-4bbd-a98c-895099d0b21a · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 39

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Observation c44225c9-9c12-49e2-ad3b-8cf145cf2270 · outbound

This paper cites In: AAAI (2021).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation In: AAAI (2021)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.857837Z

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Observation 07f3d087-70f9-447c-80e5-09086e3da01d · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 41

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Observation e1821a33-219f-4479-8f09-9dcab77727cd · outbound

This paper cites IEEE T-PAMI 44(8), 4388--4403 (2021).

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation IEEE T-PAMI 44(8), 4388--4403 (2021)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:56:26.841711Z

Source-reported events for the cited work

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Observation 5fcb2cb4-f604-45a0-a620-06f72ef20e8f · outbound

This paper cites Self-Distillation as Instance-Specific Label Smoothing.

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Self-Distillation as Instance-Specific Label Smoothing

Reference 43

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Observation 333ea2c1-6151-4163-b1f7-4c8d86021638 · outbound

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Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation , " * write output.state after.block = add.period write

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:26.623565Z

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Observation 089c0084-3891-436c-ab7a-b234ee70f149 · outbound

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Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation write newline

Reference 45

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Pith citing papers

No inbound Pith citation observations are available.