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Paper Citation Record · LEDGER

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.919009Z digest=sha256:d35792bfe945dfee999874b6fd01b7d90cceb1c3165e2bfd0af921f85e811110

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.922751Z digest=sha256:6546af7357fb6232a86178ead64e698fd26b01df8d64265fde5855162504c104

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.926067Z digest=sha256:407bd3b5ca249f140f772051e16db937e95ccbe83f4a9c33ada2ab53978d19aa

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=sha256:00c591d10c92354d84115c5bf141c52c79e356b4721d53bb86f9a5837e3ae074

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.932880Z digest=sha256:1a7f1d4a7c1cb96d2f1f22e9bc2d9dc0b804950be78f618a386cd0a0ebd8811d

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:e0bdd890cf35383d3b4338772d4dc8dead009ed999e6485174c91968bec5b922

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=sha256:212dd189e003d01460b3c7bdd6045bd6785b2ebbc934869e43b694e0c36515a7

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=sha256:63b0c6974ff3948677a7923ef63aa0b85b13116fb5d5e1260e36aca9c9d29104

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=sha256:683d608a5274ea295879996d2aa3c2cd0440ba85c4db8430a639890439a2027f

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:b55730b3092830fb9f3ab82d82a67f7966d54c379ee34913d356d61ec798cfb7

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=sha256:4663381b23e1c821db9baff11fdd191ab53debd5efa2865e95bbd355e234069f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.956270Z digest=sha256:3422822478e1b7783dd83c24cff64a2810049cc12cde48a70aff9d92d2c50c41

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=sha256:391134fbb52e092bf3e2c08d4bbe98b65584c1c226fcddca24dd2be24b1249d3

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:d8381d44919bea8e7da737089895935f45d11b56f2b442a51efb705cb034a475

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.965162Z digest=sha256:49b19e617f33b0a817f4015fe9b3f5688916e51d45673ad6e0b8ca4480ac0fb9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.968066Z digest=sha256:60160618fa60fa953c94e8e1563d498831b148a36f6a73e10a4c359f4598ff16

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T00:40:57.971030Z digest=sha256:b34534da9fce3eb825b716ac7d7cc822556dee5370e887d13d6051f4ab0974aa

Pith citing papers

No inbound Pith citation observations are available.