Paper Citation Record · LEDGER

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:1909.01804.

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

pith.paper-citation-record.v1
1909.01804 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:25:45.119767Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy33
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 503995fa-2601-45cd-89d5-ec311735c31d · outbound

This paper cites There are many consistent explana- tions of unlabeled data: Why you should average.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning There are many consistent explana- tions of unlabeled data: Why you should average

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.830812Z

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Observation 7f301772-d686-4b2c-ad71-3ac26bd3a582 · outbound

This paper cites Learn - ing with pseudo-ensembles.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Learn - ing with pseudo-ensembles

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.811046Z

Source-reported events for the cited work

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Observation 7724134d-1b52-4c88-b566-d3f03ea6fcaf · outbound

This paper cites Combining labeled and un- labeled data with co-training.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Combining labeled and un- labeled data with co-training

Reference 3

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Observation b83f0f60-7862-4367-bbae-8b038e135252 · outbound

This paper cites Semi-Supervised Learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Semi-Supervised Learning

Reference 4

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Observation c0d2ce20-55d7-483a-ae07-80c3dba2acb9 · outbound

This paper cites Tri-net for semi-supervised deep learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Tri-net for semi-supervised deep learning

Reference 5

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Observation 0cd53028-1210-4e87-b3fa-ec7bebcba153 · outbound

This paper cites Self-ensembling for domain adaptation.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Self-ensembling for domain adaptation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.741571Z

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Observation 7ffbc0cc-c925-4101-8078-0fe8f1b38c29 · outbound

This paper cites Explaining and harnessing adversarial examples.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Explaining and harnessing adversarial examples

Reference 7

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Observation 651efe22-bd58-41cf-b441-f4d149ffbb58 · outbound

This paper cites Deep residual learning for image recognition.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Deep residual learning for image recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.704081Z

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Observation a933405a-4990-4bd7-9506-ee723a8166b6 · outbound

This paper cites Distilli ng the knowledge in a neural network.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Distilli ng the knowledge in a neural network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.686389Z

Source-reported events for the cited work

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Observation 2dc26933-91d1-447b-802c-8d98da285e43 · outbound

This paper cites Efﬁcien t knowledge distillation from an ensemble of teachers.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Efﬁcien t knowledge distillation from an ensemble of teachers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.666596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40644045-aa39-419b-be85-baed38532170 · outbound

This paper cites Squeeze-and-Excitation Networks.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Squeeze-and-Excitation Networks

Reference 11

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Source-reported events for the cited work

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Observation 60febc3a-a7fb-49de-afae-28f63958701a · outbound

This paper cites Batch renormalization: Towards reducin g minibatch dependence in batch-normalized models.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Batch renormalization: Towards reducin g minibatch dependence in batch-normalized models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.647319Z

Source-reported events for the cited work

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Observation 26d00b38-aca2-4e5d-b6ca-31d1c52a795e · outbound

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

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Batch normalizati on: Accelerating deep network training by reducing internal co - variate shift

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.628562Z

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Observation 4e68910f-3fc3-4e91-9f81-b3bb189f7490 · outbound

This paper cites V etrov, and Andrew Gordon Wilson.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning V etrov, and Andrew Gordon Wilson

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.609995Z

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Observation 08de3699-fa1d-4793-8484-af1339064e11 · outbound

This paper cites Cifa r-10 (canadian institute for advanced research).

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Cifa r-10 (canadian institute for advanced research)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.593005Z

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Observation 57be29af-05eb-4207-97ef-9c1f764e56e9 · outbound

This paper cites Cifa r- 100 (canadian institute for advanced research).

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Cifa r- 100 (canadian institute for advanced research)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.572921Z

Source-reported events for the cited work

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Observation 5c8d5c76-a7be-4180-823b-09848c766768 · outbound

This paper cites Temporal ensembling for sem i- supervised learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Temporal ensembling for sem i- supervised learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.553411Z

Source-reported events for the cited work

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Observation d68db5ec-3911-431f-a955-1c3abb699f4b · outbound

This paper cites Webvision database: Visual learning and un- derstanding from web data.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Webvision database: Visual learning and un- derstanding from web data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.529853Z

Source-reported events for the cited work

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Observation 18331e5e-6660-4b4e-9777-fe3bd49f9a8a · outbound

This paper cites Smooth neighbors on teacher graphs for semi-supervised learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Smooth neighbors on teacher graphs for semi-supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.506373Z

Source-reported events for the cited work

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Observation 8525ee93-a82e-4d12-8438-0f8a46fb5c62 · outbound

This paper cites Auxiliary deep generative models.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Auxiliary deep generative models

Reference 20

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Observation d353f75b-290e-4f4d-bcc7-afb4c416585d · outbound

This paper cites Virtual adversarial training: a regularization method for supervised and semi-supervised learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Virtual adversarial training: a regularization method for supervised and semi-supervised learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.472644Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4583ce46-2303-451a-bdba-46029f464758 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Reading digits in natural images with unsupervised feature learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.455072Z

Source-reported events for the cited work

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Observation d930f81d-c792-4606-bb64-d6ceae850b74 · outbound

This paper cites Semi-supervised learning with genera tive adversarial networks.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Semi-supervised learning with genera tive adversarial networks

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bfa24c5-f36d-4a97-9f7a-be432b735405 · outbound

This paper cites Realistic evaluation of semi-supervis ed learning algorithms.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Realistic evaluation of semi-supervis ed learning algorithms

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.422346Z

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Observation 4ee73bfd-baae-4d16-a0a9-ce8b835d728c · outbound

This paper cites Adversarial dropout for supervised and semi- supervised learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Adversarial dropout for supervised and semi- supervised learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.404312Z

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Observation af19418c-344e-4ed4-a950-a2dce600fd3e · outbound

This paper cites Polyak and Anatoli Juditsky.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Polyak and Anatoli Juditsky

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.387680Z

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Observation 6c6a21e6-6544-40e2-b812-32e2afc45c07 · outbound

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Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Unresolved cited work

Reference 27

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Observation 0a2a6cea-1e8e-4023-8324-2b221e79f30d · outbound

This paper cites Semi-supervised learning with ladder networks.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Semi-supervised learning with ladder networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.350574Z

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Observation 58c22420-2906-4423-9935-07d6eb702c2f · outbound

This paper cites Berg, and Li Fei-Fei.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Berg, and Li Fei-Fei

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.331228Z

Source-reported events for the cited work

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Observation fea18bd6-9f91-49f0-bc9a-c020f9171571 · outbound

This paper cites Creating artiﬁcial neu ral networks that generalize.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Creating artiﬁcial neu ral networks that generalize

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.309663Z

Source-reported events for the cited work

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Observation a7ec76a9-a98d-45e0-8322-1a7dccf5a56b · outbound

This paper cites Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 31

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Observation 25e99ad7-a281-4f62-84de-1313779e2290 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overﬁtting.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Dropout: A simple way to prevent neural networks from overﬁtting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.283371Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc835111-9597-40bc-9736-435d6bf045fb · outbound

This paper cites Mean teachers are be tter role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Mean teachers are be tter role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.264414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 293ee35f-9930-4283-aaf0-d21849debb5d · outbound

This paper cites Girshick, Piotr Doll´ ar, Zhuowen T u, and Kaiming He.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Girshick, Piotr Doll´ ar, Zhuowen T u, and Kaiming He

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.245904Z

Source-reported events for the cited work

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Observation e5a7cd42-ba36-4fe9-ab76-427d07990106 · outbound

This paper cites When semi-supervised learning meets en- semble learning.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning When semi-supervised learning meets en- semble learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.225177Z

Source-reported events for the cited work

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Observation 5c0f2ab3-00a1-4d93-b59d-8462561abeea · outbound

This paper cites Semi-supervised learning literature sur vey.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Semi-supervised learning literature sur vey

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:25:45.205222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.