Paper Citation Record · LEDGER

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2502.09086.

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

pith.paper-citation-record.v1
2502.09086 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:44:13.549625Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact2
verified fuzzy20
unresolved1
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ad7bb26-857b-4d01-b89e-6e3f9f1f0803 · outbound

This paper cites Advancing Air Mobility: Few -Shot Learning in Airspace Research and Development.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Advancing Air Mobility: Few -Shot Learning in Airspace Research and Development

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.553290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d11d7a68-b7b9-431b-950c-c662d8a1b8ce · outbound

This paper cites Deep Learning -Based Gesture Key Point Detection for Human-Computer Interaction Applications,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Deep Learning -Based Gesture Key Point Detection for Human-Computer Interaction Applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.534256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ea9d0cf-1a3c-420a-a192-067d6a7be7c3 · outbound

This paper cites CDCNet: Cross -domain few -shot learning with adaptive representation enhancement.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning CDCNet: Cross -domain few -shot learning with adaptive representation enhancement

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.491470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f525331-a755-4889-94c3-3c1ce5e9409e · outbound

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

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Calibration Learning for Few -shot Novel Product Description,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.458120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1ac3798-9fe2-4445-8b07-3a7a12594c41 · outbound

This paper cites Stock Prediction with Improved Feedforward Neural Networks and Multimodal Fusion,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Stock Prediction with Improved Feedforward Neural Networks and Multimodal Fusion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.438523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aaf520e7-c578-45df-abbb-822abc5090ba · outbound

This paper cites A text classification method combining in - domain pre -training and prompt learning for the steel e -commerce industry.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning A text classification method combining in - domain pre -training and prompt learning for the steel e -commerce industry

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.385971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f94772b1-18f1-4f8e-a066-6c0f476f8104 · outbound

This paper cites Performance Boost in Deep Neural Networks: Improved ResNext50 for Complex Image Datasets,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Performance Boost in Deep Neural Networks: Improved ResNext50 for Complex Image Datasets,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.350574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28732163-b4a5-4641-bebe-966b9769f59d · outbound

This paper cites Improving the RAG - based Personalized Discharge Care System by Introducing the Memory Mechanism.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Improving the RAG - based Personalized Discharge Care System by Introducing the Memory Mechanism

Reference 8

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T22:44:13.929076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7db496ff-e8e7-496a-999c-a0db426b229b · outbound

This paper cites Adversarial domain adaptation with CLIP for few-shot image classification.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Adversarial domain adaptation with CLIP for few-shot image classification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.327305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4719b43-c417-4caf-bd71-7ab4ad2a3e6c · outbound

This paper cites NLP-Driven Privacy Solutions for Medical Records Using Transformer Architecture.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning NLP-Driven Privacy Solutions for Medical Records Using Transformer Architecture

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.294009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8713c282-32a4-4bce-857d-8f772e9aabbd · outbound

This paper cites Stock Price Prediction Using an Improved Transformer Model: Capturing Temporal Dependencies and Multi-Dimensional Features,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Stock Price Prediction Using an Improved Transformer Model: Capturing Temporal Dependencies and Multi-Dimensional Features,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.250078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f75b862-9bdd-428f-9b58-ac098b8a2d4c · outbound

This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.213237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a4ea90e0-feaa-45dd-9086-0bd64e3b3376 · outbound

This paper cites The Synergistic Role of Deep Learning and Neural Architecture Search in Advancing Artificial Intelligence,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning The Synergistic Role of Deep Learning and Neural Architecture Search in Advancing Artificial Intelligence,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.175544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e05a198e-a406-4683-93cd-8e4d58ebfcca · outbound

This paper cites Mining Multimodal Data with Sparse Decomposition and Adaptive Weighting,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Mining Multimodal Data with Sparse Decomposition and Adaptive Weighting,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.149537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ef2699f-2e0c-4b7a-b389-3b1b248cad45 · outbound

This paper cites Comparison of Norm-Based Feature Selection Methods on Biological Omics Data,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Comparison of Norm-Based Feature Selection Methods on Biological Omics Data,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.129986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ece968b-01c8-413c-b873-43c757767640 · outbound

This paper cites Optimized Convolutional Neural Network for Intelligent Financial Statement Anomaly Detection,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Optimized Convolutional Neural Network for Intelligent Financial Statement Anomaly Detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.098392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49f0b3e3-7e27-47f2-a793-4f33cd1c0648 · outbound

This paper cites Dynamic Distributed Scheduling for Data Stream Computing: Balancing Task Delay and Load Efficiency,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Dynamic Distributed Scheduling for Data Stream Computing: Balancing Task Delay and Load Efficiency,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.065841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0cc24295-d335-42ad-8daf-befacc73cd4b · outbound

This paper cites Time-Series Nested Reinforcement Learning for Dynamic Risk Control in Nonlinear Financial Markets,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Time-Series Nested Reinforcement Learning for Dynamic Risk Control in Nonlinear Financial Markets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.031526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 486273d8-022f-42b7-a51e-ffebd72e7d60 · outbound

This paper cites Boosting few -shot intent detection via feature enrichment and regularization.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Boosting few -shot intent detection via feature enrichment and regularization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:14.004088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94fbea64-6d2a-41ed-872c-6eb9ad1bf0e2 · outbound

This paper cites Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:44:13.671603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ef1a209-38a3-4ee2-8da8-e33764d9ce1a · outbound

This paper cites Scaling -up medical vision -and- language representation learning with federated learning,.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Scaling -up medical vision -and- language representation learning with federated learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:13.977535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b4a6ee0-b67c-46c7-bfc5-be83b044f432 · outbound

This paper cites An explainable few -shot learning model for the directed evolution of antimicrobial peptides.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning An explainable few -shot learning model for the directed evolution of antimicrobial peptides

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:44:13.950548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4dcc4ce6-11ba-47cd-b014-dcbf02275c2d · outbound

This paper cites Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T22:44:13.549625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.