Paper Citation Record · LEDGER

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 3 inbound Pith citation observations for arXiv:2501.13467.

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

pith.paper-citation-record.v1
2501.13467 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:57:30.387300Z

measured 27 of 27 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:42:49.696908Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T20:08:31.270806Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy13
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60a78653-693b-4499-b0a5-aed105350089 · outbound

This paper cites Synergistic Detection of Multimodal Fake News Leveraging TextGCN and Vision Transformer,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Synergistic Detection of Multimodal Fake News Leveraging TextGCN and Vision Transformer,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.796438Z

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 d731c3b1-7d43-4477-84c4-5075df10e4bf · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.278402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7bfd41d-ab1c-40fa-8777-476401848e07 · outbound

This paper cites (2023, July).

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer (2023, July)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.781055Z

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 99669315-58ca-4607-9156-4723ce9353c3 · outbound

This paper cites Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.288766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 785be391-e9fe-480b-93fa-854d033abe2b · outbound

This paper cites Comparative Investigation of Traditional Machine Learning Models and Transformer Models for Phishing Email Detection,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Comparative Investigation of Traditional Machine Learning Models and Transformer Models for Phishing Email Detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.766356Z

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 828de68c-a253-4798-8f8f-f67828eff92a · outbound

This paper cites Prediction of Machine-Generated Financial Tweets Using Advanced Bidirectional Encoder Representations from Transformers,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Prediction of Machine-Generated Financial Tweets Using Advanced Bidirectional Encoder Representations from Transformers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.749927Z

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 04f17afd-9236-48b8-8093-ddd58204bc69 · outbound

This paper cites Humorous and Professional –A Dive Into Social Media Text Classification,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Humorous and Professional –A Dive Into Social Media Text Classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.731631Z

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 4a1b8e76-919b-4450-9179-ed2f779dcbb6 · outbound

This paper cites Improving long COVID - related text classification: a novel end -to-end domain -adaptive paraphrasing framework,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Improving long COVID - related text classification: a novel end -to-end domain -adaptive paraphrasing framework,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.714345Z

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 88a83fde-d0fa-4298-8296-a475f84a7c22 · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.313371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1feb927f-f337-4c3a-8126-f50ba0ec7817 · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Dynamic Scheduling Strategies for Resource Optimization in Computing Environments

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.318383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e252cc-f82e-41ef-ad3c-97501098b2f5 · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.323360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9f243bb-abd7-4e6f-ba7a-0eb061c58602 · outbound

This paper cites Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.328469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c6b4f5-bef1-4776-b8db-f45ec584f5a4 · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.333110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8247c17e-aa88-4406-9765-0ccfc3cc77cd · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.337890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c1e24e7-cbf2-4d8b-820a-c7ad42598571 · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.342623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e1bf9e-e7b4-45ff-9ef4-df4a9aa117bf · outbound

This paper cites Dynamic Risk Control and Asset Allocation Using Q -Learning in Financial Markets,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Dynamic Risk Control and Asset Allocation Using Q -Learning in Financial Markets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.697638Z

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 4326f8ec-91d0-4c39-af53-bc3dec3dc05e · outbound

This paper cites Artificial Intelligence - Driven Risk Assessment and Control in Financial Derivatives: Exploring Deep Learning and Ensemble Models,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Artificial Intelligence - Driven Risk Assessment and Control in Financial Derivatives: Exploring Deep Learning and Ensemble Models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.680957Z

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 c3d1ec84-d332-4dfd-80d2-5038ada2f0c5 · outbound

This paper cites Accurate Medical Named Entity Recognition Through Specialized NLP Models.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Accurate Medical Named Entity Recognition Through Specialized NLP Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.358676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd5ae5c-6161-4a9e-bf8b-4f845e93af05 · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.363577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb085175-b378-438e-976e-a64a1450faac · outbound

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

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer Self - Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.663584Z

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 ac0110a7-1570-4fd2-8a44-0dedc37aa697 · outbound

This paper cites (2021, November).

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer (2021, November)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.647719Z

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 3354b858-e5e7-4690-b7e9-4277041cb0b5 · outbound

This paper cites BiLSTM model with Attention mechanism for multi -label news text classification,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer BiLSTM model with Attention mechanism for multi -label news text classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.632358Z

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 09a458df-1500-44e8-84fe-f93ca6cb4a58 · outbound

This paper cites An R -transformer_BiLSTM model based on attention for multi -label text classification,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer An R -transformer_BiLSTM model based on attention for multi -label text classification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.617226Z

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 c10c105b-4c36-4376-bd2f-0f78a832b5d3 · outbound

This paper cites A Novel Architecture for Long-Text Predictions Using BERT -Based Models,.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer A Novel Architecture for Long-Text Predictions Using BERT -Based Models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:57:30.601861Z

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.

Pith citing papers

Observation 2815c5cf-ed71-47c1-b7d8-0816f35e49d8 · inbound

Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data cites this paper.

Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T00:42:49.696908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0db7655-269a-4083-acea-deda3c546b73 · inbound

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation cites this paper.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T00:40:57.936034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f28646-e69b-4622-a897-9231ef7136a0 · inbound

A Deep Learning Approach to Interface Color Quality Assessment in HCI cites this paper.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:08:31.347872Z

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.