Paper Citation Record · LEDGER

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation

As of 21 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.01057.

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

pith.paper-citation-record.v1
2505.01057 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:32:40.440474Z

measured 49 of 49 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 2026-05-07T13:29:32.888871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:56:26.184200Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17b246d9-990a-4326-9d91-f32d590bf790 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

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Observation 43dcde22-e75f-4e07-8aba-d9e5269f3a9b · outbound

This paper cites A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design

Reference 2

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Observation 57f8f9c8-da65-4a69-9893-bcb67dde63a0 · outbound

This paper cites Benfenati and A.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Benfenati and A

Reference 3

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Observation 4942d08e-d79e-49c9-ba18-f80a54da8adc · outbound

This paper cites Benfenati and A.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Benfenati and A

Reference 4

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Observation 209cefe4-6cb1-47c4-9f4d-33f8f6a125dd · outbound

This paper cites an unresolved cited work.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 5

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Observation bb5af39a-1c32-4645-81b6-31d9d42903ce · outbound

This paper cites Brauwers and F.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Brauwers and F

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:32:41.092673Z

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Observation 04e507d4-2dcd-4823-954c-88092f4def42 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 7

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Observation b63dcf04-35ec-431b-ab82-113639b98b1e · outbound

This paper cites Manifold learning of brain mris by deep learning.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Manifold learning of brain mris by deep learning

Reference 8

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Observation 6dbcf7a4-2806-4198-b269-ea04021d2d70 · outbound

This paper cites Cao and Q.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Cao and Q

Reference 9

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Observation b7f47001-a720-4535-a193-39814e64f801 · outbound

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 10

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Observation b19c0962-8aac-4be3-99e7-8f3fa4c8c140 · outbound

This paper cites Semantic Image Segmentation: Two Decades of Research.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Semantic Image Segmentation: Two Decades of Research

Reference 11

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Observation 432ad502-4d7e-4868-8f4a-62e3dfac32c4 · outbound

This paper cites Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections

Reference 12

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Observation e93af532-eb9b-4bd4-af26-da2f7b0745a5 · outbound

This paper cites A Review on Deep Learning Techniques Applied to Semantic Segmentation.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation A Review on Deep Learning Techniques Applied to Semantic Segmentation

Reference 13

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Observation 8d10cca9-c1be-49ff-8d25-3f8faf945f3e · outbound

This paper cites Martin, Ming-Ming Cheng, and Shi-Min Hu.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Martin, Ming-Ming Cheng, and Shi-Min Hu

Reference 14

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Observation 7a476bcc-4870-4099-9de5-50add3a7114f · outbound

This paper cites Principles of riemannian geometry in neural net- works.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Principles of riemannian geometry in neural net- works

Reference 15

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Observation a5c62c85-aa90-476b-9cb5-27e61f6996f5 · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Spatial pyramid pooling in deep convolutional networks for visual recognition

Reference 16

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Observation 80b17d60-aaae-4a22-b203-c409a58d0d37 · outbound

This paper cites Deep manifold learning for dynamic mr imaging.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Deep manifold learning for dynamic mr imaging

Reference 17

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Observation 08ae3dde-3294-4842-8b2c-da1679140f47 · outbound

This paper cites an unresolved cited work.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 18

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Observation 7c94081f-1433-42e1-99d9-cf3ba1d6e544 · outbound

This paper cites Flood semantic segmentation dataset, 2022.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Flood semantic segmentation dataset, 2022

Reference 19

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Observation 86fe7672-df5d-4864-acde-c3fb146ed511 · outbound

This paper cites Boundary refinement network with semantic embedding connections for uav aerial image semantic segmentation.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Boundary refinement network with semantic embedding connections for uav aerial image semantic segmentation

Reference 20

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 21

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Observation 5b876f08-24fe-433c-9953-59e6c311193d · outbound

This paper cites Feature pyramid networks for object detection.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Feature pyramid networks for object detection

Reference 22

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Observation 7d16f236-e04e-4b89-b22b-c1d35dabaf19 · outbound

This paper cites Mffnet: A building extraction network for multi-source high-resolution remote sensing data.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Mffnet: A building extraction network for multi-source high-resolution remote sensing data

Reference 23

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Observation a5c84e66-9a72-4662-9f9f-f85a52492a06 · outbound

This paper cites Lohit and P.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Lohit and P

Reference 24

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Observation d72900ae-d30c-4197-9625-022555561f19 · outbound

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 25

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Observation 11c2ae5f-c53b-4f52-9270-245149f88b3e · outbound

This paper cites Boykov, Fatih Porikli, Antonio J.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Boykov, Fatih Porikli, Antonio J

Reference 26

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Observation 990a7315-826d-425b-b2b1-3fa7e5714955 · outbound

This paper cites Monti, D.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Monti, D

Reference 27

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Observation c0a97263-e986-45be-a46f-e0d9cf93f4fb · outbound

This paper cites Poincar´ e embeddings for learning hier- archical representations.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Poincar´ e embeddings for learning hier- archical representations

Reference 28

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Observation 236fffcf-dd80-40ed-8224-f1dbdded4acd · outbound

This paper cites Contextnet: Exploring context and detail for semantic segmentation in real-time.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Contextnet: Exploring context and detail for semantic segmentation in real-time

Reference 29

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Observation c2e40738-9a9b-4ed4-aa14-7f4041f91797 · outbound

This paper cites Context-Aware Semantic Segmentation: Enhancing Pixel-Level Understanding with Large Language Models for Advanced Vision Applications.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Context-Aware Semantic Segmentation: Enhancing Pixel-Level Understanding with Large Language Models for Advanced Vision Applications

Reference 30

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Observation 930837e6-77d8-4f2e-9b26-04ff878a0645 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation, 2015.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation U-net: Convolutional networks for biomedical image segmentation, 2015

Reference 31

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This paper cites Multi-view classification with convolutional neural networks.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Multi-view classification with convolutional neural networks

Reference 32

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Observation 14035372-d6c3-4ba7-9197-19c6a0e7519c · outbound

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 33

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 34

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 35

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Observation 04165e74-0d4d-4b2d-855b-98c260a2a0ee · outbound

This paper cites A survey on deep learning-based architec- tures for semantic segmentation on 2d images.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation A survey on deep learning-based architec- tures for semantic segmentation on 2d images

Reference 36

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Observation 175216fb-e44a-4656-967a-460b7ce81bcc · outbound

This paper cites A large-scale dataset for fish segmentation and classification.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation A large-scale dataset for fish segmentation and classification

Reference 37

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Observation 5f5dec19-47c1-481a-99fd-12cb60c28789 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:32:40.692668Z

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Observation 27533bfb-ae2d-4767-ad69-5ac3a0fd580e · outbound

This paper cites The Caltech-UCSD birds-200-2011 dataset.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation The Caltech-UCSD birds-200-2011 dataset

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:32:40.679462Z

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Observation 3c4aed2d-6f9b-44d0-b00b-700e65c88bc9 · outbound

This paper cites A Deep Semantic Segmentation Network with Semantic and Contextual Refinements.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation A Deep Semantic Segmentation Network with Semantic and Contextual Refinements

Reference 40

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Observation 4c20fbb8-7c9e-41f0-be9e-c48ae5152226 · outbound

This paper cites Attention Mechanisms in Medical Image Segmentation: A Survey.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Attention Mechanisms in Medical Image Segmentation: A Survey

Reference 41

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This paper cites A multi-channel and multi-spatial attention con- volutional neural network for prostate cancer isup grading.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation A multi-channel and multi-spatial attention con- volutional neural network for prostate cancer isup grading

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:32:40.665901Z

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Observation db305e14-189f-4388-bf7f-27ae12cefd4e · outbound

This paper cites From cnn to transformer: A review of medical image segmentation models.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation From cnn to transformer: A review of medical image segmentation models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:32:40.653740Z

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Observation a09e398d-d7a4-4a85-b528-cbfe7c144bc7 · outbound

This paper cites Toward understanding the effectiveness of attention mechanism.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Toward understanding the effectiveness of attention mechanism

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:32:40.640407Z

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Observation d8a89872-64e0-4305-94e8-a87605c747f2 · outbound

This paper cites Zhang, K.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Zhang, K

Reference 45

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Observation ff449282-fa0c-4a93-bf40-d9d8273cb318 · outbound

This paper cites an unresolved cited work.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 46

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Observation 27e1df1b-6a5a-4555-9509-691592afced7 · outbound

This paper cites MSP : Refine Boundary Segmentation via Multiscale Superpixel.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation MSP : Refine Boundary Segmentation via Multiscale Superpixel

Reference 47

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Observation 6b2a121f-5a89-4bcd-9a21-e29af6ee5e0d · outbound

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Unresolved cited work

Reference 361

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Source-reported events for the cited work

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Pith citing papers

Observation de4e5ac9-5923-4842-8848-0becad0f1337 · inbound

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search cites this paper.

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:56:26.188732Z

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.