Paper Citation Record · LEDGER

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1511.06390.

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

pith.paper-citation-record.v1
1511.06390 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:35:09.549766Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:36:08.236164Z

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 a7ec76a9-a98d-45e0-8322-1a7dccf5a56b · inbound

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning cites this paper.

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T05:25:45.091496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26dc623b-1c93-4c6f-afd7-62e303eae335 · inbound

Learning from Label Proportions with Generative Adversarial Networks cites this paper.

Learning from Label Proportions with Generative Adversarial Networks Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T05:06:30.951585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2bdcfa-72ca-44f7-9c3b-1a84f2913d10 · inbound

Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing cites this paper.

Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:30.888422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74cd535a-6c8a-476e-af52-fa2bb7dfd6da · inbound

A Tutorial on Discriminative Clustering and Mutual Information cites this paper.

A Tutorial on Discriminative Clustering and Mutual Information Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T23:35:09.549766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b861df-ee9e-47a5-9148-7c5e1476874b · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:49.911618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6438f31-c4b0-40d2-9192-7163c10670dd · inbound

$\varphi$-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery cites this paper.

$\varphi$-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T19:36:18.157373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9b78ed9-b685-45d7-9ea1-651037415cfe · inbound

Uncertainty-Aware Spatial Color Correlation for Low-Light Image Enhancement cites this paper.

Uncertainty-Aware Spatial Color Correlation for Low-Light Image Enhancement Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T00:55:38.703470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b101ee-625c-45c8-aa92-b80b5415eff4 · 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 Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:59:42.539829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b780640-0b6c-482d-8025-cc5542f71487 · inbound

EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models cites this paper.

EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:37.107189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.