Paper Citation Record · LEDGER

A Deep Learning Approach to Interface Color Quality Assessment in HCI

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2502.09914.

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

pith.paper-citation-record.v1
2502.09914 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:08:31.167727Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:49:08.719200Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:04:25.190601Z

Reference resolution

22 of 22 outbound references displayed

verified exact4
verified fuzzy16
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 127f2db2-95f2-40d4-aac8-0d46d86221a5 · outbound

This paper cites Quantitative and Qualitative Analysis of Interaction Design and Usability: A Bibliometric Approach,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Quantitative and Qualitative Analysis of Interaction Design and Usability: A Bibliometric Approach,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:33.099906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5dc9173a-b848-41a9-89c1-0ad9f1bb97cd · outbound

This paper cites Research on Evaluation System of Human-Computer Interaction System in University Library Under the Background of Artificial Intelligence,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Research on Evaluation System of Human-Computer Interaction System in University Library Under the Background of Artificial Intelligence,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.885509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce9be4eb-6d7c-4a6f-9189-bfa5be5fb7ac · outbound

This paper cites Evaluation of a Smart Audio System Based on the ViP Principle and the Analytic Hierarchy Process Human– Computer Interaction Design,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Evaluation of a Smart Audio System Based on the ViP Principle and the Analytic Hierarchy Process Human– Computer Interaction Design,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.839888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c59042f-7ac2-4ed7-a6f7-716c4132d2ea · outbound

This paper cites Adversarial Attack Against Images Classification based on Generative Adversarial Networks.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Adversarial Attack Against Images Classification based on Generative Adversarial Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:30.872999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb05e44-4cfe-4b03-b5ce-de89b63347c9 · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Scaling-up medical vision-and- language representation learning with federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.822063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 082fc9a6-7bb5-41b8-8ca9-51670a94a971 · outbound

This paper cites Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:08:31.756643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7c2b95f-bef3-4a6c-9963-f8689895f933 · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-07T20:08:31.680455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5572ff82-42e5-4ebb-b968-82aac6235036 · outbound

This paper cites A Self-training Framework for Automated Medical Report Generation,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI A Self-training Framework for Automated Medical Report Generation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.804068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 924f05cc-a818-4d7f-9f93-6de241b1dd4a · outbound

This paper cites Gesture-Driven Innovation: Exploring the Intersection of Human-Computer Interaction and Virtual Fashion Try-On Systems,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Gesture-Driven Innovation: Exploring the Intersection of Human-Computer Interaction and Virtual Fashion Try-On Systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.680874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc89edb4-6476-4e5d-ae89-bd3c9f9557d6 · outbound

This paper cites Human-Computer Interaction Approach with Empathic Conversational Agent and Computer Vision,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Human-Computer Interaction Approach with Empathic Conversational Agent and Computer Vision,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.555768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c03bbaf6-dee5-4335-adfc-e23d3812ae97 · outbound

This paper cites Systematic Analysis of User Perception for Interface Design Enhancement,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Systematic Analysis of User Perception for Interface Design Enhancement,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.537174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d7a8e4c-1328-4e95-b6df-1c6208b9f445 · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:31.084383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e74d02-f570-4a5a-8eaa-5b692f8372b4 · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Deep Learning-Based Gesture Key Point Detection for Human-Computer Interaction Applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.518840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f5c66e8-2b4e-41f7-b406-4cdbf500762e · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:08:31.437165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 423d61a5-a3ff-417a-affd-e14404f16089 · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Optimized Convolutional Neural Network for Intelligent Financial Statement Anomaly Detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.465628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0dd7f548-4c26-47ca-b194-0a3cf894dce5 · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Mining Multimodal Data with Sparse Decomposition and Adaptive Weighting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.247138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer.

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 2026-08-19T06:32:44.657259+00:00.

Observation edc2523b-446f-45d0-8a43-0cca3d2ea219 · outbound

This paper cites Multivariate Time Series Forecasting and Classification via GNN and Transformer Models,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Multivariate Time Series Forecasting and Classification via GNN and Transformer Models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.228397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39e967fe-0714-49ec-8276-7e53d1516212 · outbound

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

A Deep Learning Approach to Interface Color Quality Assessment in HCI Dynamic Distributed Scheduling for Data Stream Computing: Balancing Task Delay and Load Efficiency,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.210417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ba6b4a0-78b8-4c51-8439-3bbbf0090c06 · outbound

This paper cites Improved Transformer for Cross-Domain Knowledge Extraction with Feature Alignment,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Improved Transformer for Cross-Domain Knowledge Extraction with Feature Alignment,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.058797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e187f7b5-2397-4b90-a548-1240e5c91189 · outbound

This paper cites Pietschmann, Human-Computer Interaction in Extended Reality: Exploring the Impact of Visual Guidance on User Performance and Human Factors, 2024.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Pietschmann, Human-Computer Interaction in Extended Reality: Exploring the Impact of Visual Guidance on User Performance and Human Factors, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:32.034749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3071a863-2222-4753-8d6c-2a7570e672b3 · outbound

This paper cites Research Trends of Human-Machine Interaction Studies in Mechanical Equipment Design: A Bibliometric Review,.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Research Trends of Human-Machine Interaction Studies in Mechanical Equipment Design: A Bibliometric Review,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:31.998729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 66b4848c-821a-4f2e-8e24-c9190dd97043 · inbound

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning cites this paper.

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning A Deep Learning Approach to Interface Color Quality Assessment in HCI

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:08.719200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a99dffab-e53d-415e-8ff9-302d32a9772c · inbound

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks cites this paper.

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks A Deep Learning Approach to Interface Color Quality Assessment in HCI

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:04:25.199037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.