Paper Citation Record · LEDGER

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 4 inbound Pith citation observations for arXiv:2505.06145.

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

pith.paper-citation-record.v1
2505.06145 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:50:04.471482Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:15.219870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:36:08.212502Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy9
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d47bff7-0347-4d2f-9621-84d88f061ecf · outbound

This paper cites Transformers are short-text classifiers,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Transformers are short-text classifiers,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.803610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64eccf0e-164d-47a0-823f-112ce139168d · outbound

This paper cites Medical Entity-Driven Analysis of Insurance Claims Using a Multimodal Transformer Model,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Medical Entity-Driven Analysis of Insurance Claims Using a Multimodal Transformer Model,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.364601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f87919a2-ccc9-4127-94d1-a0eeb8e1adbb · outbound

This paper cites A Self-Supervised Vision Transformer Approach for Dermatological Image Analysis,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies A Self-Supervised Vision Transformer Approach for Dermatological Image Analysis,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.369029Z

Source-reported events for the cited work

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Observation 18cc2fea-14a4-4b87-bf15-59e8aedadc70 · outbound

This paper cites A Visual Communication Optimization Method for Human- Computer Interaction Interfaces Using Fuzzy Logic and Wavelet Transform,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies A Visual Communication Optimization Method for Human- Computer Interaction Interfaces Using Fuzzy Logic and Wavelet Transform,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.375349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291b1014-154b-40ba-b71a-f42fe4590e70 · outbound

This paper cites Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.379598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25be804-eaac-423c-b7c1-88a39203c96b · outbound

This paper cites Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.384077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd1646f-742f-4cd2-9d04-a8ab5c70ab54 · outbound

This paper cites A survey of text classification with transformers: How wide? how large? how long? how accurate? how expensive? how safe?.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies A survey of text classification with transformers: How wide? how large? how long? how accurate? how expensive? how safe?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.759906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5773197b-9b22-4482-814f-d0772adbd63f · outbound

This paper cites Transformer-Based Structural Anomaly Detection for Video File Integrity Assessment,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Transformer-Based Structural Anomaly Detection for Video File Integrity Assessment,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.393324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca08fe0-409c-4448-8e7b-cb60dd97e6f1 · outbound

This paper cites A Graph Attention-Based Recommendation Framework for Sparse User-Item Interactions,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies A Graph Attention-Based Recommendation Framework for Sparse User-Item Interactions,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.398980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24b724f-df52-4a00-be52-4cf2f2ec62d3 · outbound

This paper cites Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.403705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77326cfb-02fc-40d3-b2ce-977d22e0f875 · outbound

This paper cites Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.721895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f0a0aec-0c76-402a-a986-23c55b57ddd2 · outbound

This paper cites Human-Computer Interaction in Smart Devices: Leveraging Sentiment Analysis and Knowledge Graphs for Personalized User Experiences,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Human-Computer Interaction in Smart Devices: Leveraging Sentiment Analysis and Knowledge Graphs for Personalized User Experiences,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.413391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a5d331-7d0d-4425-a6fe-8ec9f7714c3c · outbound

This paper cites Distributed Network Traffic Scheduling via Trust-Constrained Policy Learning Mechanisms,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Distributed Network Traffic Scheduling via Trust-Constrained Policy Learning Mechanisms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.698628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67d84c4c-1283-49b8-83cb-4d0f7ecdcc58 · outbound

This paper cites A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.422173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13961136-f177-4f9d-9457-574009b3ebca · outbound

This paper cites Optimizing Distributed Computing Resources with Federated Learning: Task Scheduling and Communication Efficiency,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Optimizing Distributed Computing Resources with Federated Learning: Task Scheduling and Communication Efficiency,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.426012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af8e2e52-f3dc-4401-9d45-ef1dfd85a38b · outbound

This paper cites Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.430239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e5dfce2-d17f-42c2-b10a-a547dbe5062c · outbound

This paper cites Efficient Compression of Large Language Models with Distillation and Fine-Tuning,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Efficient Compression of Large Language Models with Distillation and Fine-Tuning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.435175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7889e2-3893-4409-b899-45831c2751e5 · outbound

This paper cites Investigating Hierarchical Term Relationships in Large Language Models,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Investigating Hierarchical Term Relationships in Large Language Models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.439042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22979feb-dc4b-47c5-9d56-ffc2556e9bba · outbound

This paper cites Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.650822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f37def1-9e74-4dfa-9a9d-038c2f1cfb20 · outbound

This paper cites A comparative survey of instance selection methods applied to non-neural and transformer-based text classification,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies A comparative survey of instance selection methods applied to non-neural and transformer-based text classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.633815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61ac5d8b-15d3-424d-afc2-77d5a4abc699 · outbound

This paper cites Deep Learning for Cross-Domain Recommendation with Spatial-Channel Attention,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Deep Learning for Cross-Domain Recommendation with Spatial-Channel Attention,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.452200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224de27e-c17a-46d4-8ac8-842d0234b7d1 · outbound

This paper cites Mask-guided BERT for few-shot text classification,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Mask-guided BERT for few-shot text classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.611183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c428e8b9-de2a-4800-ab8f-fd033ee91d22 · outbound

This paper cites Short‐ Text Classification Detector: A BERT ‐ Based Mental Approach,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Short‐ Text Classification Detector: A BERT ‐ Based Mental Approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.597716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5cd29a1c-36c2-4103-b00f-8be64ca4be67 · outbound

This paper cites Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.466714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a52fdf4-9161-4377-a02a-6e1953fa5645 · outbound

This paper cites Continual few-shot learning for text classification,.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Continual few-shot learning for text classification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:50:04.582610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 335a79a5-ff5b-4d4d-b6bc-6bd38ecd34b6 · inbound

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures cites this paper.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:15.219870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6abcc366-7b6b-4cb1-a319-f2018a3f9755 · inbound

Structured Memory Mechanisms for Stable Context Representation in Large Language Models cites this paper.

Structured Memory Mechanisms for Stable Context Representation in Large Language Models Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:45.334095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b30542d-915d-4879-8906-b971109b3b2f · inbound

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction cites this paper.

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:26.996761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a0b417-ee48-4c9a-8558-ee58393c916e · inbound

From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation cites this paper.

From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:36:08.215592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.