Paper Citation Record · LEDGER

MixMatch: A Holistic Approach to Semi-Supervised Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1905.02249.

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

pith.paper-citation-record.v1
1905.02249 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T01:05:28.029354Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

604
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 528a1357-aaed-4b4d-b606-a2b7ea668cc2 · inbound

Efficient data augmentation using graph imputation neural networks cites this paper.

Efficient data augmentation using graph imputation neural networks MixMatch: A Holistic Approach to Semi-Supervised Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-25T19:31:10.447528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2d18c8c-9617-4f0a-8f56-97f2327fa3fd · inbound

HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods cites this paper.

HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods MixMatch: A Holistic Approach to Semi-Supervised Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T20:19:53.143477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 15cdbc39-b648-465a-a5b7-728130517de9 · inbound

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm cites this paper.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm MixMatch: A Holistic Approach to Semi-Supervised Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T01:05:28.029354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e820f744-1ace-4186-ac8b-dddaee9c57f6 · inbound

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare cites this paper.

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare MixMatch: A Holistic Approach to Semi-Supervised Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T13:17:35.725628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d14eba4-7995-47bf-8246-ee49854c80a7 · inbound

A cross-process welding penetration status prediction algorithm based on unsupervised domain adaptation in laser and TIG welding cites this paper.

A cross-process welding penetration status prediction algorithm based on unsupervised domain adaptation in laser and TIG welding MixMatch: A Holistic Approach to Semi-Supervised Learning

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T05:20:35.574587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 719c2bd2-c046-42f5-a198-fdb0a107f393 · inbound

Automated Solar Radio Burst Detection Using Deep Learning on Augmented e-Callisto Data cites this paper.

Automated Solar Radio Burst Detection Using Deep Learning on Augmented e-Callisto Data MixMatch: A Holistic Approach to Semi-Supervised Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T00:54:33.076290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.