Paper Citation Record · LEDGER

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.16567.

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

pith.paper-citation-record.v1
2411.16567 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:47:28.084752Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:39:35.637757Z

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 2f95b4fe-83c2-40f5-a05c-997a0a31c0b2 · inbound

Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models cites this paper.

Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T22:47:28.084752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cff2c22-edfa-4e6d-914b-109cde5ecc46 · inbound

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models cites this paper.

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T19:54:34.554486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee1d6c7-9e54-4b4c-ac44-a608316bb6d9 · inbound

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders cites this paper.

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T12:12:19.969463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb43df5f-726f-4257-a76c-8d8af7c5a66f · inbound

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining cites this paper.

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:31.294362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cdf248d-ddb8-4e3b-ada3-18c47a6213e2 · inbound

Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization cites this paper.

Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:14.566036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f903ea88-c39c-4f5f-8b16-21ee06ace20a · inbound

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments cites this paper.

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T05:40:19.766673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c09471-987c-491e-814e-f29af18bf1e4 · inbound

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt cites this paper.

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:38:37.634280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7cc0015-4b5f-4bb2-b05b-0eda41a1e73a · inbound

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer cites this paper.

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T04:50:46.905562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68813e7e-3de3-4b1a-9c3f-ae3374d79bc4 · inbound

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets cites this paper.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:39:35.648515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation db8858e1-85ec-410c-a81a-3f27fd064125 · inbound

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP cites this paper.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.092985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.