Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:35:37.032438Z

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:6f9f0da6a98eee60122f2e23c51f0d7a19127e60547f565c1508bf9f8a6eb0da

Observation 975bcb55-c2c0-4c47-b8bb-0a64d2570d08 · inbound

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning cites this paper.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T04:35:37.032438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:35:37.032438Z digest=sha256:9882524dff5b7dda563325cfde536e3402151dab6b04bac5bbb0262b4bb14e28

Observation c4f662c4-f335-4fd6-aee4-65f8d4890af8 · inbound

Improving realistic semi-supervised learning with doubly robust estimation cites this paper.

Improving realistic semi-supervised learning with doubly robust estimation ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T19:42:54.071853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:42:54.071853Z digest=sha256:8ebc431dd2f639b40821069b01dcf0cacf7458175bbf79c5f6359e5530a134a4

Observation 9745da6a-3eda-4da7-8405-52c86e2a37fa · inbound

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation cites this paper.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:46.192382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:46.192382Z digest=sha256:5f0677563b7016ee7414cacbab70affaac534787639dab7fe9a79f29e556adca

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=sha256:7efc7f5076f810147d100729f4a9cc55b5732e6302e47858c7aed970e7a631bd

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:cee73959a2a215af6368856a301cb9e2b86b689d34b926a355eb518783997c42

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=sha256:46bbad91b8e9f5f470f0971c88163577d9df903fb45e84ff3e574ab28ff8e9e6

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=sha256:00ba83ec9bed369d3226f5fcbc60fceb93bdbbb248fbbc799e06fc2a3416e99c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T15:03:20.201082Z digest=sha256:9cb575e6b2a1b352a65d9c6532cc2a1bae1360a9e5e92e45c3f901e236481a88

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T01:31:00.029032Z digest=sha256:5ebf400602d4d5796a4fcbc2ccc569b9cdc036b48982e4d9d7c37e57e5c2c1cd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T19:41:21.658482Z digest=sha256:c25be34695e56048699f4fa8bf1853ebc5f26d8b9e0256ce2e144a3d7b5bb845

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=sha256:1b33460e04f939e8785cf494b72820c769ca8432c850a9fa2608df504859db94

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T05:00:28.839647Z digest=sha256:c2c3a6dd28554615939fae3640e11304d6e95f71d7a66750c21abb5e7ffa094c

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=sha256:11a901d3057e82d15292cf252f6423b01776861ffd33b0975d6ca4e36547204b