Paper Citation Record · LEDGER

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2301.10921.

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

pith.paper-citation-record.v1
2301.10921 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:44:04.293146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.061224Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2b6611cd-413c-4b15-9b8c-87cc0a5cb3d5 · inbound

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

FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:44:04.293146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce14a2d-dea3-4ad7-82be-09aa60af95cc · inbound

Normality Calibration in Semi-supervised Graph Anomaly Detection cites this paper.

Normality Calibration in Semi-supervised Graph Anomaly Detection SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T12:48:07.716713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b5eabb8-1af6-4dc0-aa17-82ba837a448f · inbound

Can LLMs Learn to Reason Robustly under Noisy Supervision? cites this paper.

Can LLMs Learn to Reason Robustly under Noisy Supervision? SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.291816Z

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.

Observation 4e47cc19-8acc-4ec8-bad2-b968513871a0 · inbound

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

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:06:40.802839Z

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.

Observation 8727a159-6904-4202-868d-8ee4a893de64 · inbound

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

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:51.062733Z

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.

Observation e52fa7ff-92fb-42bc-af25-0672e6032847 · 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 SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:14:19.384462Z

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.

Observation 62628055-b4da-464d-9dac-cca90b2199cd · 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 SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 226

Resolution: verified exact; arxiv_id, observed 2026-07-01T06:45:29.611997Z

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.

Observation a108f77c-8401-4255-bfe9-631d3467e0eb · 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 SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:08.995273Z

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.