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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 28 of 28 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 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:01:12.885021Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0dfc7cc6-9623-4fc8-82c8-5ab72ca486e2 · outbound

This paper cites Low data drug discovery with one-shot learning,.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Low data drug discovery with one-shot learning,

Reference 1

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raw_fallback, observed 2026-08-12T13:01:13.312249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 103c2bdf-a283-4627-9a86-267aa6195a1b · outbound

This paper cites A Systematic Study on the Privacy Protection Mechanism of Natural Language Processing in Medical Health Records.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches A Systematic Study on the Privacy Protection Mechanism of Natural Language Processing in Medical Health Records

Reference 2

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.767590Z digest=sha256:3d023c07539aea3fa3cf3e7d3d96fc779c5c0f66b0f591f3fe188b2933e95ff7

Observation c4b53e7e-b4e5-4bd4-b404-58ff3ce3c929 · outbound

This paper cites Leveraging Deep Learning Techniques for Enhanced Analysis of Medical Textual Data.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Leveraging Deep Learning Techniques for Enhanced Analysis of Medical Textual Data

Reference 3

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.772339Z digest=sha256:7f3f8823709e6c70ec37a671df4de9c689336eb8c3d367a664e747f0420c0ab7

Observation fab58779-a50e-49e8-918d-4abb6e7ce3cb · outbound

This paper cites Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study,.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.777026Z digest=sha256:bc1e28c3cab059f5b199fd7379a967d8d5d7ceb4df139b2b1b9879065fc8b2fa

Observation 4af1061a-4bfd-4caa-9119-07fd98550997 · outbound

This paper cites Financial Risk Analysis Using Integrated Data and Transformer -Based Deep Learning.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Financial Risk Analysis Using Integrated Data and Transformer -Based Deep Learning

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.781354Z digest=sha256:5b11d30495fbc8c1a3ded4ebabc50399306e658ba73d600ea6505a1c3453078c

Observation f71d9240-02f5-4034-9eaf-c33c3bcf7df2 · outbound

This paper cites A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T13:01:12.785775Z digest=sha256:f866dd6d1288c58df2f92555c3ab510c42e56f3362b57553af9c08ad6f3d40e2

Observation 0983d471-6e44-48aa-aa1d-eac85b44ca11 · outbound

This paper cites Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation

Reference 7

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source=pdf_text observed=2026-08-12T13:01:12.790854Z digest=sha256:d82eb44a6fb5ce06f44fe59609b6f9ee4036bfd20461e5c89665f27e2f44b508

Observation d8f34536-03ff-42de-83e4-aff0e4e15a2f · outbound

This paper cites Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues

Reference 8

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source=pdf_text observed=2026-08-12T13:01:12.795387Z digest=sha256:4eda9a60a9e3b1e93e765545b25b6cbb271b74234b17ddc68947b44ce9c66da0

Observation eff3a00a-6762-415f-b7af-63065528d573 · outbound

This paper cites Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm

Reference 9

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source=pdf_text observed=2026-08-12T13:01:12.799908Z digest=sha256:9263e3f7c13519424418a25c4a80ae6fbca4376f64c05be618c6bd08c51fa4a6

Observation 5eb4b864-78ce-40dd-9122-91f01d70104c · outbound

This paper cites Generative adversarial networks,.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Generative adversarial networks,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.804591Z digest=sha256:272287bd78d03659ad694bca3a1911280300cbd69a3a27f951b04acd432f26a6

Observation 8f875598-664a-434b-8b45-480a8b30a53a · outbound

This paper cites Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 11

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source=pdf_text observed=2026-08-12T13:01:12.808855Z digest=sha256:00e1db3d4797fef608e8d3c908eb239c1f4e1a629ce72c1265ef9a3df991c007

Observation 7d1f3f2d-4702-4fa1-b4d9-44df8b49356f · outbound

This paper cites Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications

Reference 12

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source=pdf_text observed=2026-08-12T13:01:12.813612Z digest=sha256:9b0aef252423d80e32b9b133464df7128d4b66d5c36cc0ae45b619defab9a582

Observation 7235f13b-a9c4-4a72-a1ec-fb1c39138fe1 · outbound

This paper cites Wasserstein generative adversarial networks,.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Wasserstein generative adversarial networks,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.817979Z digest=sha256:fdea5b6bb212bab808c0569a4ee21b46bd299d6b914b237086083082bdcfed48

Observation 08b04c24-49db-429b-8b4a-ea28c4f9feb9 · outbound

This paper cites Automated Genre-Aware Article Scoring and Feedback Using Large Language Models.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Automated Genre-Aware Article Scoring and Feedback Using Large Language Models

Reference 14

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source=pdf_text observed=2026-08-12T13:01:12.822261Z digest=sha256:4decf0707f00c24de8f7a3fad562eb8911e286f05ddd1361a5f9a8adccd91872

Observation 935fad57-7d1c-4a99-b6a1-0d8b5a17514d · outbound

This paper cites Research on Intelligent System of Medical Image Recognition and Disease Diagnosis Based on Big Data.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Research on Intelligent System of Medical Image Recognition and Disease Diagnosis Based on Big Data

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-12T13:01:13.205449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.826703Z digest=sha256:b390b153ea50810acbed220e230aed77e446149686cff8779c8cf7e95f00671c

Observation 76537072-71f0-4120-8c27-94a4c036fdf5 · outbound

This paper cites ALBERT -Driven Ensemble Learning for Medical Text Classification.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches ALBERT -Driven Ensemble Learning for Medical Text Classification

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-12T13:01:13.190717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.830887Z digest=sha256:c9a344d18d9e861ffd9e8d7a8bbf043cc71099302f8b79ddacd1fe5008c9e8d8

Observation 6b6e3643-6df0-4dc7-a6ff-1d8d7bb50fb6 · outbound

This paper cites Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning

Reference 17

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source=pdf_text observed=2026-08-12T13:01:12.835107Z digest=sha256:80cfa14f81f12e5dd5fd9a1f525da301b3b338748ea653fa24eef570a62b4562

Observation be9ec387-2422-436d-88c7-3c552143ccd6 · outbound

This paper cites A study on intra -modal constraint loss toward cross-modal recipe retrieval,.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches A study on intra -modal constraint loss toward cross-modal recipe retrieval,

Reference 18

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raw_fallback, observed 2026-08-12T13:01:13.175543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.839809Z digest=sha256:a4a8af5b9517de6c6d98a87d372fe8f3773527746db1b70ded0fe3f33ac8984f

Observation 804f25e9-3a1c-49e0-a533-0033d57c6271 · outbound

This paper cites Graph Neural Networks in Financial Markets: Modeling Volatility and Assessing Value-at-Risk.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Graph Neural Networks in Financial Markets: Modeling Volatility and Assessing Value-at-Risk

Reference 19

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raw_fallback, observed 2026-08-12T13:01:13.160300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.844037Z digest=sha256:dd4706106d0262f6ac42693e27e66894f23f5a014c8c1680fcae859503d41d3e

Observation aa6bfc5b-962a-4c77-af52-b3eeafd26fbb · outbound

This paper cites A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.848535Z digest=sha256:e1b708e9e231cb8c436a058f1a1c51ef1453a2460198576efe5c6ed2864c18c6

Observation 3df23578-6487-4642-8fed-1dec2550078a · outbound

This paper cites Survival prediction across diverse cancer types using neural networks.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Survival prediction across diverse cancer types using neural networks

Reference 21

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Observation bda43633-c5ff-4b00-be30-e117e2e5347c · outbound

This paper cites Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 22

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Observation f9fc159e-b141-4942-9dec-7fac1c13913e · outbound

This paper cites Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis

Reference 23

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source=pdf_text observed=2026-08-12T13:01:12.862430Z digest=sha256:1afaee6be99a33370c8885cc1c9c73fc7f773bd4c110efe19e49a418cd10f3bc

Observation cc5c7c03-21b6-42d4-bf38-e994c160a065 · outbound

This paper cites Medical Image Segmentation with Bilateral Spatial Attention and Transfer Learning.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Medical Image Segmentation with Bilateral Spatial Attention and Transfer Learning

Reference 24

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raw_fallback, observed 2026-08-12T13:01:13.121449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.866974Z digest=sha256:96b5e426f73a03c1bdbb3dcdd4d6e75a2dd0959a1a171b727f5f87f85b6e713c

Observation 68569e2f-da55-4781-9719-0fa386f6e81e · outbound

This paper cites Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Management.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Management

Reference 25

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Observation 104499e3-cccc-4a5e-84ad-80fc18f6f7bb · outbound

This paper cites Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment

Reference 26

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source=pdf_text observed=2026-08-12T13:01:12.875895Z digest=sha256:e4fd0ad77f1580659b6422953e21b305bd7fc6966baa524a15841351df1cf50d

Observation 981b0841-ef12-48df-93a2-4726306d5cd3 · outbound

This paper cites Bagging, boosting, and C4.5,.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Bagging, boosting, and C4.5,

Reference 27

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raw_fallback, observed 2026-08-12T13:01:13.105937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:01:12.880477Z digest=sha256:7f963b66e1439d838758a12fa9a0d91229a490747296f8b1c76d69be1a536abe

Observation 32f22131-1d75-4320-9f24-3ae3ec80b48b · outbound

This paper cites Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets

Reference 28

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source=pdf_text observed=2026-08-12T13:01:12.885021Z digest=sha256:a09f3e68ff8b5ab6ce425902f38e261b6fc275df5da4f9711e590aeffecf1f05

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:47:28.084752Z digest=sha256:8de462f8a7e5f6f144588f418e162bf0c4818f59ec967c9179be6f44bbe0ffb3

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:54:34.554486Z digest=sha256:bd0a31a03f6997e402bc5f537b47cff88e1ca9d3737f6772cd3298a78d77ca4d

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:12:19.969463Z digest=sha256:0b9b3227b146c67fe6eec19766aa66c3dc194d474de659b03450171eb54e44f1

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:18:31.294362Z digest=sha256:6ea376aa3287338b9899ca86d920c9cdb4a7b7b5db4c1c1841a446fd93448ea1

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

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source=pdf_text observed=2026-08-11T10:18:14.566036Z digest=sha256:ba5c84b3267cec35d1f7a146f0d999928176b864dfdb5b072f9923b1cc0692a3

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:40:19.766673Z digest=sha256:857fca14d39ed26969fe0efaba75e64a02310248048008dbdd04bc208aa96b84

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

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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

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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

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