Pith. sign in

Paper Citation Record · LEDGER

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation

As of 20 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2502.03813.

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

pith.paper-citation-record.v1
2502.03813 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:40:57.971030Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:49:08.692690Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T04:49:08.831605Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c953cb5f-9baf-4c19-b910-07a571090718 · outbound

This paper cites Evaluation of the Impact of Attention Mechanisms on UNet and Res -UNet Models for Building Extraction Accuracy,.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Evaluation of the Impact of Attention Mechanisms on UNet and Res -UNet Models for Building Extraction Accuracy,

Reference 1

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T00:40:58.927742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.919009Z digest=sha256:52a0c706a13db1bdbdd69ec87b75bb7c0ba7b8da017f5fc66c7739029b0ebd7f

Observation 01004c6b-0728-4710-b85d-5dce77a12bce · outbound

This paper cites Segmenting Medical Images: From UNet to Res -UNet and nnUNet,.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Segmenting Medical Images: From UNet to Res -UNet and nnUNet,

Reference 2

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T00:40:58.684144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.922751Z digest=sha256:4e48b446620f774e5b425631673f310011dc0988c6be1fed14e091df2a61634b

Observation 21c354f3-fe7c-4484-ae60-1ded6d75f047 · outbound

This paper cites GC -UNet: Enhance UNet with GCN for Periodontitis Segmentation,.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation GC -UNet: Enhance UNet with GCN for Periodontitis Segmentation,

Reference 3

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T00:40:58.366662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.926067Z digest=sha256:918cd3cfd4d0428639b3df80db6bb3dc384f8df953d27776456df6e94e15ba05

Observation 82d0c83f-11d2-4e2d-9ad1-513b2c35e525 · outbound

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

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Survival prediction across diverse cancer types using neural networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.929479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.929479Z digest=sha256:817e4a67261a1f7a2e7fcea9b622b5799aab9fac6b956ec9440d840fb3b16441

Observation d261dc47-e5b9-4656-84fc-44dbbc80cbb6 · outbound

This paper cites Fully Convolutional Neural Networks for High -Precision Medical Image Analysis,.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Fully Convolutional Neural Networks for High -Precision Medical Image Analysis,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:40:58.962719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.932880Z digest=sha256:2adef5f8426e384d725e02f8121e35b46b426bf607ee87507adcdd209b8efbeb

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

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

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.

source=pdf_text observed=2026-08-09T00:40:57.936034Z digest=sha256:5420dac49915f9ceb1546d496bf2d1aa3eb3836c764b8bec48c255c9f7a1fc7f

Observation d6aa5ae3-b79c-429a-b2b7-e39760b46a18 · outbound

This paper cites Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.939767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.939767Z digest=sha256:5a7127616382516c9cd1fc22f4afa981e43538d0f29a667280cbec19041b9471

Observation 1171cb28-e1c4-4313-9a16-5e9b75beda14 · outbound

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

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Accurate Medical Named Entity Recognition Through Specialized NLP Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.943100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.943100Z digest=sha256:45614f3a5e2aa39248593721b08afbbe75ed06ba2fffc1ce8773542b23adc435

Observation e9d6fb87-3832-4d55-9040-bb8716dc3700 · outbound

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

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.946498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.946498Z digest=sha256:83cfdd8cb15f9d1d7142c730c7a0d278cc042b6ad155486124cbde0751efbbe7

Observation 1c891023-642e-49dc-8703-8425d8a4901e · outbound

This paper cites Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.949889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.949889Z digest=sha256:daf3a2c32a1f4ec7f12f40f21cce64d54d270f5b8addc878b7216b2f536bb42b

Observation 5341b78f-6264-400a-8101-7c091df39b21 · outbound

This paper cites Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.953021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.953021Z digest=sha256:9f2d8ac89cce67c618ce6e6d5982b3e66f4a3f24f3b15496b5d8aaf336809558

Observation 0abea982-6fcb-496f-8825-637cf882076e · outbound

This paper cites Object Detection for Medical Image Analysis: Insights from the RT -DETR Model,.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Object Detection for Medical Image Analysis: Insights from the RT -DETR Model,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:40:58.954132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.956270Z digest=sha256:e8b04eb6feaa2085b8397f76d6445cf47e075b648db39a8d3f5147c97961f8f3

Observation 05d3e59c-841e-416d-af41-a8feed3ffc9f · outbound

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

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.959173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.959173Z digest=sha256:cf7b38b65ba47cde5aa894d0962fb22a8ecc8cf4c13bc92ac8679ae24534d94e

Observation 4b62e3fb-1ad9-4823-a083-ee191656eca4 · outbound

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

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Dynamic Scheduling Strategies for Resource Optimization in Computing Environments

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:57.962253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:40:57.962253Z digest=sha256:07967412b65b00f72738498cbf6890451004104315fd5c95e5417bfa1792aecd

Observation 1f4b631e-5f90-42b5-9e68-55116cc03cad · outbound

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

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation The Synergistic Role of Deep Learning and Neural Architecture Search in Advancing Artificial Intelligence

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:40:58.945284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.965162Z digest=sha256:3b685e59819bcaf83b51da11d4ca93966c75759c4272cafca859ce249cad17d7

Observation 3f4960e6-5321-4dc8-9bb1-e694ecdc87c7 · outbound

This paper cites DCN -Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+,.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation DCN -Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+,

Reference 16

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T00:40:58.145054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.968066Z digest=sha256:c88b31f63a148f08023f269f6862affb9678956dce5710158f49988e137420d0

Observation dd15f49a-e76c-4203-af01-13ad5607af5f · outbound

This paper cites PSPNet: Pretraining and Self-Supervised Fine -Tuning-Based Prototypical Network for Radar Active Deception Jamming Recognition With Few Shots,.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation PSPNet: Pretraining and Self-Supervised Fine -Tuning-Based Prototypical Network for Radar Active Deception Jamming Recognition With Few Shots,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:40:58.936710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T00:40:57.971030Z digest=sha256:d3b0c322f3ed93df333c96e1e939a5760a0d727e2049ff739ccee17982a3ff0f

Pith citing papers

Observation b6177a2a-e1a1-40ad-9223-61dcc8225887 · inbound

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

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:49:08.836937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:49:08.692690Z digest=sha256:f60471939e1f57c50d565fa28b459adc07db09d5bf411191c01572531eb6b6c0