Paper Citation Record · LEDGER

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2412.03105.

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

pith.paper-citation-record.v1
2412.03105 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:47:16.854760Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:55:04.107429Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:55:04.269131Z

Reference resolution

22 of 22 outbound references displayed

verified exact3
verified fuzzy16
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fe722ed-0fc3-46b5-a533-a33159d70e76 · outbound

This paper cites Remote sensing object detection in the deep learning era—a review[J].

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Remote sensing object detection in the deep learning era—a review[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:20.184209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb6fa389-067f-4779-9e25-7d972f31fcd1 · outbound

This paper cites Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review[J].

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:20.034760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 622beb50-4b77-4ba1-b681-a486882abe95 · outbound

This paper cites Rsmamba: Remote sensing image classification with state space m odel[J].

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Rsmamba: Remote sensing image classification with state space m odel[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:19.950691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b318115-d616-4429-a583-da23d002ecb0 · outbound

This paper cites Text mining and natural language processing in construction[J].

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Text mining and natural language processing in construction[J]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:19.814986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78f7a95f-02f4-4a8b-bed0-eb2efe3136ec · outbound

This paper cites One-shot learning of object categories[J].

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs One-shot learning of object categories[J]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:19.674850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6fba61f-e7be-4743-80c0-b15352c1ad41 · outbound

This paper cites Calibration Learning for Few-shot Novel Product Description,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Calibration Learning for Few-shot Novel Product Description,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:19.519481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2405697e-bbae-482d-93c5-840e41cfe9bd · outbound

This paper cites Attention-Unet: A Deep Learning Approach for Fast and Accurate Segmentation in Medical Imaging,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Attention-Unet: A Deep Learning Approach for Fast and Accurate Segmentation in Medical Imaging,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:19.375339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 410f74ad-be13-4de0-8204-9275b596c80f · outbound

This paper cites Convolutional Neural Network Classification of Cancer Cytopathology Images: Taking Breast Cancer as an Example,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Convolutional Neural Network Classification of Cancer Cytopathology Images: Taking Breast Cancer as an Example,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:19.234911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d82b8fa-28c1-443c-a530-e8222e72a3da · outbound

This paper cites Feature Extraction and Model Optimization of Deep Learning in Stock Market Prediction,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Feature Extraction and Model Optimization of Deep Learning in Stock Market Prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:19.094764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52cef299-2855-4ccc-8ba7-e4610244a78e · outbound

This paper cites Predicting Stock Market Trends Using LSTM Networks: Overcoming RNN Limitations for Improved Financial Forecasting,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Predicting Stock Market Trends Using LSTM Networks: Overcoming RNN Limitations for Improved Financial Forecasting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:18.934761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db0159d6-8243-488a-b493-a9f2a8e84a02 · outbound

This paper cites Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:47:17.828147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 03237fa5-18d2-4671-931d-5dc91f4eec23 · outbound

This paper cites Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:47:16.444751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 634906a9-a91c-4a2d-860a-6ab5da749ca6 · outbound

This paper cites Survival Prediction Across Diverse Cancer Types Using Neural Networks,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Survival Prediction Across Diverse Cancer Types Using Neural Networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:18.776036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16ccf298-f5f9-409d-9ca7-b24d2e77e0fa · outbound

This paper cites Ndc- scene: Boost Monocular 3d Semantic Scene Completion in Normalized Device Coordinates Space,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Ndc- scene: Boost Monocular 3d Semantic Scene Completion in Normalized Device Coordinates Space,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:18.632828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6b929373-e2fb-42eb-8ac3-ff02e4fbcb66 · outbound

This paper cites Exploring Anomaly Detection and Risk Assessment in Financial Markets Using Deep Neural Networks,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Exploring Anomaly Detection and Risk Assessment in Financial Markets Using Deep Neural Networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:18.473804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86782c99-9b62-4964-b125-7503a738413a · outbound

This paper cites Text classification optimization algorithm based on graph neural network.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Text classification optimization algorithm based on graph neural network

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:47:17.494750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9bda03dc-2314-407a-8b37-79d60b6f8391 · outbound

This paper cites Advancing Emotional Analysis with Large Language Models,.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Advancing Emotional Analysis with Large Language Models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:18.354948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cda8b7a1-6826-4cd1-80ca-7e467b1cb2e3 · outbound

This paper cites Robust Conditional Generative Adversarial Networks.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Robust Conditional Generative Adversarial Networks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:47:17.295127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7524731f-1d6e-4ffe-8e79-e784991d731e · outbound

This paper cites Deep residual learning for image recognition[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Deep residual learning for image recognition[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T22:47:16.732171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03089c54-3f92-49c5-b8d1-80cb8af4ca87 · outbound

This paper cites Piggyback: Adapting a single network to multiple tasks by learning to mask weights[C]//Proceedings of the European conference on computer vision (ECCV).

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Piggyback: Adapting a single network to multiple tasks by learning to mask weights[C]//Proceedings of the European conference on computer vision (ECCV)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:18.129534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94b02de3-16dd-4962-a581-7076990847ee · outbound

This paper cites (2023, December).

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs (2023, December)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:17.962446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a75e96f3-002a-4151-a1f0-9645f936c8ef · outbound

This paper cites A Note on the Inception Score.

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs A Note on the Inception Score

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T22:47:16.854760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3eb6f0b1-8f35-4907-996c-1577e6eb258e · inbound

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models cites this paper.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Few-Shot Learning with Adaptive Weight Masking in Conditional GANs

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:55:04.273019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.