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Paper Citation Record · LEDGER

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:56:29.282749Z

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-13T18:31:53.283456Z digest=sha256:8a0002693e66bf37f3424f1240bb1bea67b43505d130ffd8b4f6252ff70d3287

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:0b05bb93e9f8190cc8f18afca9212729d8554513a1dc898392f6838b43efae51

Observation a89e13aa-342b-41d0-955a-feb6956031f1 · inbound

DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning cites this paper.

DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T21:48:00.950360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:48:00.950360Z digest=sha256:f11c820ce44e78fef54c13b71a60f841e76e24c3c0d78056672db4e9211b0db6

Observation 170e8383-0ffa-4724-89dd-2233a0ac6b44 · inbound

Enhancing Deep Learning Model Robustness through Metamorphic Re-Training cites this paper.

Enhancing Deep Learning Model Robustness through Metamorphic Re-Training FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T00:06:11.407081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:06:11.407081Z digest=sha256:3d144f648658d285edd8575c07ab789802a025edfd11363a4105a4f2e04f3d16

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=sha256:9b6e9610b5bc53b56b6aa21a86a580124cbda2d2850575f28f58f0882d8b2392

Observation f9a85e29-a5be-48c5-ae7e-73715f89c692 · inbound

QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents cites this paper.

QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T19:56:29.282749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:29.282749Z digest=sha256:73f8f0e3e7e2514c614e48c9a3206daaba169f8036713a6ec29dad5f96dedc2b

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:e4f01bb6c7c058a1a16e0e1b36fdf5fca16a37763b47845209b8b9ab75324a77

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T01:31:00.029032Z digest=sha256:95c1e0232acdb2c59a9c19b70e8d11e6957fcbf38c9d3243f8f0037dc8fc2293

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T04:00:49.889795Z digest=sha256:a8611e8931d85346f855d0562d7b3b2048bb3e9b1b81fd819948ad0c86c64aef

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T13:10:42.631408Z digest=sha256:0f6bd14cd87506e4ff17e2aaaa110399c3619745b1b2b2d09649440b53caff40

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T19:15:46.593842Z digest=sha256:dfe8fdfb848f7d9c329d27c4822bb671a093f8e46d5c4c40083d073610e7fd7e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T06:12:45.531363Z digest=sha256:c86113d3591e94edd06b51a48336e9718a41fcccea5430f4fcc02db961c6184c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T10:28:48.833014Z digest=sha256:63c36deb2626ef86285227250d07ddc02c5722a97eb7c558a7b6146cc6a32d00

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=sha256:43b7c00e2096a1bd5f6b03128702b413a45e7ab505d95431ef97fadaa48c99a3