Paper Citation Record · LEDGER

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2205.07246.

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

pith.paper-citation-record.v1
2205.07246 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:36.022024Z

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

139
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 7b8044ef-c560-4326-ab3a-a1fd98e0984f · inbound

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

Info-Coevolution: An Efficient Framework for Data Model Coevolution FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:36.022024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f803315f-949e-4444-8235-3988977e0db3 · inbound

FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization cites this paper.

FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:44:06.497039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f98a1c-d31a-4f7f-b33d-874e22a671a0 · inbound

RAUM-Net: Regional Attention and Uncertainty-aware Mamba Network cites this paper.

RAUM-Net: Regional Attention and Uncertainty-aware Mamba Network FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:20.904501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67cd4d3-b0ea-48a6-a675-a6a3bc12ee7a · inbound

PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency cites this paper.

PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:32.690986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81c4e08-aa60-417d-9ab5-271bd7688bcc · inbound

LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification cites this paper.

LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:56:14.259248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e9dcf80-3308-4a6e-b199-6fab04fab246 · inbound

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling cites this paper.

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:40.749783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87337021-85a2-446e-93f2-04ba2f56bc4d · inbound

Semi-Supervised Vision-Language-Action Model cites this paper.

Semi-Supervised Vision-Language-Action Model FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:38.080741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cda7beae-c621-4445-bb0a-9d4143fe1ddc · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 209

Resolution: verified exact; arxiv_id, observed 2026-06-26T00:28:43.069417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce55985d-deed-4144-802c-78a392aa1452 · inbound

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning cites this paper.

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:51.071464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 03347aba-7b20-4bc8-899b-70d6f7557ed5 · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 246

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:14:19.489581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 681bd27d-ac11-435d-8a3f-8e5c340a304e · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 225

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:05:37.592348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f1903e0-293f-400e-81be-3ecf829fcddb · inbound

SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification cites this paper.

SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.130438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2e4fb03-26ce-4c3b-903f-426572652d6c · inbound

PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition cites this paper.

PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:08.983508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.