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Paper Citation Record · LEDGER

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2001.07685.

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

pith.paper-citation-record.v1
2001.07685 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:35.844364Z

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

2271
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 a55011df-ad1a-43c1-a3c0-10d21d8374a7 · inbound

A Simple Framework for Contrastive Learning of Visual Representations cites this paper.

A Simple Framework for Contrastive Learning of Visual Representations FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:31:53.330702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T18:31:53.283456Z digest=sha256:f3142f372eaee58f544a8994bb041dfc7c831e4787e63f5c04006bef73ba7f4e

Observation 6bfe0500-08b2-4d8e-9faa-9a3a3521a86f · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T12:40:24.067510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:90447b8d0f801a2653fbbe9ad5ea13a77ba36aab49115d4714eefe71f5c5dda4

Observation dc0d371b-e316-4021-9887-d56a50fe028f · inbound

Info-Coevolution: An Efficient Framework for Data Model Coevolution cites this paper.

Info-Coevolution: An Efficient Framework for Data Model Coevolution FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:35.844364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:35.844364Z digest=sha256:8569e42cce1330725735a9cd752d275b315b1fa4602ac4598abef128e5082fe5

Observation b1636644-22d8-4e04-89b3-013072baaced · inbound

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

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T01:05:33.259087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:05:33.259087Z digest=sha256:a464d1fbac1b1599787b4f0ea41097d0258bcc0ade3f6db4eaa0d193a3405a90

Observation 5ea45077-4453-4572-b446-0f81a0a10120 · inbound

SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data cites this paper.

SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 112

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:56:27.565187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T01:31:00.029032Z digest=sha256:aec2cc58afab3170bf67b2a421d9cd202b01db966129c4898404e52556003f00

Observation 348912c1-6355-4f5e-b073-ab87cb11b73e · inbound

A Semi-Supervised Framework for Speech Confidence Detection using Whisper cites this paper.

A Semi-Supervised Framework for Speech Confidence Detection using Whisper FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:02:13.218719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T04:00:49.889795Z digest=sha256:cabaa8dace74d76da53f7be3d2549a9c4f3d6a9c9832006eb4b96492ed78b51e

Observation e97a47ce-fcfe-4866-8a21-195f9cfe3763 · inbound

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation cites this paper.

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:13:18.446004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T13:10:42.631408Z digest=sha256:7e39b75f8eeef3e5d8211cce44f3b93b8b1c41bd9c5738c4e6ec30b7f393d68f

Observation 19026fe0-17db-46f9-a551-fd53d04e25f8 · inbound

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation cites this paper.

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:55:48.031018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T19:15:46.593842Z digest=sha256:648a0074054b3202fae8f8159ad7cbf0c5119c9a79647a0a9cdd7a00f918f590

Observation 153252fe-0422-4d4f-8938-84b5fce2e973 · inbound

TopoPult-SSL: Gland-Mask-Free Cross-Device Meibomian Gland Segmentation via Self-Distilled Weak Clinical Priors cites this paper.

TopoPult-SSL: Gland-Mask-Free Cross-Device Meibomian Gland Segmentation via Self-Distilled Weak Clinical Priors FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-28T06:21:42.972067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:12:45.531363Z digest=sha256:960bdb31ab6e5c7f8e5aee84cf9b9594f1a1b25f9d0faff9e40b8fa7eadf81e8

Observation ae54e817-7f46-4d01-b1a7-97c0b9c0e4f9 · inbound

Adapting Vision-Language Models from Iconic to Inclusive for Multi-Label Recognition Without Labels cites this paper.

Adapting Vision-Language Models from Iconic to Inclusive for Multi-Label Recognition Without Labels FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:07:48.266435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T10:28:48.833014Z digest=sha256:f3c19c37e2c336c7c4ceabdd292ddc865d638c6d36f1e0ab9d57a343eca45457

Observation d02de5f9-5878-464e-b912-b0952aa9d689 · 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 FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-01T00:54:33.081511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:54:33.081511Z digest=sha256:8b511cdb8d18f7d8c2708c13df60a2f3c591099200eb501f4786c3a879c9dc6f