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Paper Citation Record · LEDGER

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1911.09785.

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

pith.paper-citation-record.v1
1911.09785 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 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:58.890163Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.058233Z

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 467f0a18-0d48-4c2b-a6d9-776256f64f5b · inbound

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

Revisiting Feature Prediction for Learning Visual Representations from Video ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-12T12:40:23.991159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:e4c0a81f65c07f50be1aebb3639a86fe6f368987fb3dea2508816913aa206ecf

Observation 4434065a-7c67-43e5-a5b7-d24d5cbcf6f9 · inbound

ZeroVO: Visual Odometry with Minimal Assumptions cites this paper.

ZeroVO: Visual Odometry with Minimal Assumptions ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:58.890163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:58.890163Z digest=sha256:283638c10773d36cc543ac188a891efc6b894d1a85b93f59f7b2031eff95eb3b

Observation 22d0545d-4123-48e9-be43-a5f29fa2af4b · inbound

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

FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:44:04.014468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:04.014468Z digest=sha256:df38ca374f77b31018c832951a034276c2642817f4c79f7145d9d33c7a6fe330

Observation 912151fd-b943-414e-baf4-04027bef0f54 · inbound

Learning from Limited and Imperfect Data cites this paper.

Learning from Limited and Imperfect Data ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T13:09:50.675277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:09:50.675277Z digest=sha256:f621ac2c59b9b8326d6f7c597376f87466b0337cd6ed3cff911143d52276494f

Observation a78dee22-56bd-4691-a5b4-a9cc622f2fd9 · inbound

JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation cites this paper.

JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T01:02:35.438611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:02:35.438611Z digest=sha256:3c5f3d45e3a9816d41f060945f9994cf70dbfab61ccad1bd7daafb0b5d472e89

Observation 860b4be0-fa09-4b8e-8019-57a004b8d169 · inbound

Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing cites this paper.

Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:08.211688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T15:03:20.201082Z digest=sha256:dcfbf1b9c9d61ae95ca1e0b44556241b0b480b2a2e4881485a656793109671ec

Observation 4fb65ce1-f1c7-47e9-b172-60583eabdc2f · 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 ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:27.511336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T01:31:00.029032Z digest=sha256:7da051bcd388bce9614b95dfd9fdd6d3d8ec56c1d5490bd5a2bcb774c30babc5

Observation 118d650f-234f-4c7f-9360-88fd652b67ec · inbound

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment cites this paper.

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:43:43.809667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T19:41:21.658482Z digest=sha256:ad15d15c48b69193a77c9ce6ce63528fac3f82bb203c9611ae4a15ba6bf2379a

Observation 08363bba-bc44-42f0-8c97-293b56b018c5 · inbound

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment cites this paper.

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T05:09:57.747137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:09:57.747137Z digest=sha256:1e7969ff63ee37995674b63cad16db12ab50b310fa45beaf606f1b7e39daa2f6

Observation 2b632bb9-7f25-44c8-b70a-b56ddf2c9098 · inbound

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

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.059881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T05:00:28.839647Z digest=sha256:03404a4418cb1d8d56e621ad18799dbc3fd4b1e61a8b6d13b6ed1a96e0074a22

Observation 75eb5ec4-e7f1-47d8-b1a7-62b7e2868c6b · inbound

Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training? cites this paper.

Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training? ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T05:58:41.245302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:58:41.245302Z digest=sha256:7bf55a08198f081152a3acabce02c3ef69b93676a4e6fcf8f648bd0af5afc83a