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Paper Citation Record · LEDGER

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation

As of 6 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2605.24353.

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

pith.paper-citation-record.v1
2605.24353 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:10:05.961365Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

34 of 34 outbound references displayed

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  • verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30d14338-a5d8-4af0-b210-e6ae7c7dc321 · outbound

This paper cites A new methodology for estimating the grapevine-berry number per cluster using image analysis.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation A new methodology for estimating the grapevine-berry number per cluster using image analysis

Reference 1

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Observation 7a4cdd53-784f-4dd9-8d21-8b49b4299a0d · outbound

This paper cites GrapesNet: Indian RGB & RGB-D vineyard image datasets for deep learning applications.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation GrapesNet: Indian RGB & RGB-D vineyard image datasets for deep learning applications

Reference 2

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Observation 2e5729fb-63bc-4480-bd88-4304615eff5b · outbound

This paper cites A Grape Dataset for Instance Segmentation and Maturity Estimation.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation A Grape Dataset for Instance Segmentation and Maturity Estimation

Reference 3

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Observation c1827b9d-b0fa-45fb-a8ea-71bc4743b70e · outbound

This paper cites Instance segmentation and number counting of grape berry images based on deep learning.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Instance segmentation and number counting of grape berry images based on deep learning

Reference 4

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Source-reported events for the cited work

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Observation 02123acb-f7e3-4a0d-aaea-909afa7ddb3f · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Masked-attention mask transformer for universal image segmentation

Reference 5

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Source-reported events for the cited work

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Observation b7378e30-a7f7-44f6-9758-4002e700c332 · outbound

This paper cites Response of Thompson Seedless grapes to prebloom thinning.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Response of Thompson Seedless grapes to prebloom thinning

Reference 6

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Source-reported events for the cited work

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Observation 223d172f-f348-4d9a-9005-9c86c032816a · outbound

This paper cites Aust J Grape Wine R.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Aust J Grape Wine R

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c98747da-683a-4b7a-a6b2-3fb29cd65c26 · outbound

This paper cites GBCNet: In-field grape berries counting for yield estimation by dilated CNNs.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation GBCNet: In-field grape berries counting for yield estimation by dilated CNNs

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 8af2eb27-a3ec-4cb5-a63a-1a46428dd2cb · outbound

This paper cites Instance segmentation and berry counting of table grape before thinning based on AS-SwinT.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Instance segmentation and berry counting of table grape before thinning based on AS-SwinT

Reference 9

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Source-reported events for the cited work

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Observation f3cdb4e3-e72a-478c-89b6-fab4b9b686ca · outbound

This paper cites Comparison of CNN architectures for single grape detection.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Comparison of CNN architectures for single grape detection

Reference 10

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Source-reported events for the cited work

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Observation cbdb4df5-3f27-4427-9912-334f44794526 · outbound

This paper cites Relationship between cluster compactness and bunch rot in Vignoles grapes.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Relationship between cluster compactness and bunch rot in Vignoles grapes

Reference 11

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Source-reported events for the cited work

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Observation 1fd21171-a72a-47a1-999e-29b6491877c3 · outbound

This paper cites Procedural grape bunch modeling.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Procedural grape bunch modeling

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation bf20daa2-8fb1-422b-9a82-c33c5697bd26 · outbound

This paper cites A Shine Muscat Grape Berry Detection and Grape Cluster Compactness Estimation for Assessment of Grape Quality Based on Instance Segmentation Methods.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation A Shine Muscat Grape Berry Detection and Grape Cluster Compactness Estimation for Assessment of Grape Quality Based on Instance Segmentation Methods

Reference 13

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Source-reported events for the cited work

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Observation f700e6b9-5c04-45c8-83d6-ca2b8ff208d5 · outbound

This paper cites Segment anything.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Segment anything

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5914a3ef-f4d4-4767-af2a-cd6eebce5a88 · outbound

This paper cites Data set.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Data set

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f77a196e-7a4a-490f-9150-e56da79dae34 · outbound

This paper cites Yield estimation in vineyards by visual grape detection.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Yield estimation in vineyards by visual grape detection

Reference 16

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Source-reported events for the cited work

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Observation 940200a4-78e1-4ee3-a687-e2ab66640523 · outbound

This paper cites A non-invasive method based on computer vision for grapevine cluster compactness assessment using a mobile sensing platform under field conditions.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation A non-invasive method based on computer vision for grapevine cluster compactness assessment using a mobile sensing platform under field conditions

Reference 17

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Source-reported events for the cited work

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Observation 404c7297-3c71-43d4-ad3e-7e5d04a3c4d9 · outbound

This paper cites Early leaf removal to improve vineyard efficiency: gas exchange, source-to-sink balance, and reserve storage responses.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Early leaf removal to improve vineyard efficiency: gas exchange, source-to-sink balance, and reserve storage responses

Reference 18

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Source-reported events for the cited work

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Observation b620fec7-c31d-47ce-b663-becdd7bbb510 · outbound

This paper cites Zenodo, Feb.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Zenodo, Feb

Reference 19

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Source-reported events for the cited work

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Observation b9ac97c3-7c76-4124-9b23-97ea6ae4441c · outbound

This paper cites an unresolved cited work.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation b0761cb2-68b2-48f1-a597-82ade7597b5d · outbound

This paper cites Grape detection, segmentation, and tracking using deep neural net- works and three-dimensional association.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Grape detection, segmentation, and tracking using deep neural net- works and three-dimensional association

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 308ac15a-c413-4910-a37d-a6557da2f390 · outbound

This paper cites Computer vision and machine learning for viticulture technology.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Computer vision and machine learning for viticulture technology

Reference 22

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Source-reported events for the cited work

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Observation b9fa6593-3786-47cc-9ca1-5d2af3cdb09c · outbound

This paper cites Estimating duster compactness in Yaghouti grapes.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Estimating duster compactness in Yaghouti grapes

Reference 23

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Source-reported events for the cited work

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Observation b3fc3bf8-1bdd-4138-928f-1c8f3ee8635f · outbound

This paper cites wGrapeUNIPD-DL: An open dataset for white grape bunch detection.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation wGrapeUNIPD-DL: An open dataset for white grape bunch detection

Reference 24

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Observation fff15689-f670-4e4c-b443-81b24367aa9f · outbound

This paper cites Mechanical yield regulation in winegrapes: comparison of early defo- liation and crop thinning.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Mechanical yield regulation in winegrapes: comparison of early defo- liation and crop thinning

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ed94477d-0099-4d78-ab6e-d1349d6de1e2 · outbound

This paper cites Evaluation of indexes for the quantitative and objective estimation of grapevine bunch compactness.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Evaluation of indexes for the quantitative and objective estimation of grapevine bunch compactness

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5cfde2dc-1367-4f33-82cc-a617ed87ed23 · outbound

This paper cites A Preliminary Method for Tracking In-Season Grapevine Cluster Closure Using Image Segmentation and Image Thresholding.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation A Preliminary Method for Tracking In-Season Grapevine Cluster Closure Using Image Segmentation and Image Thresholding

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 68b3fc33-78b4-4e5b-b839-62be5dbdcde0 · outbound

This paper cites Evaluating and Mapping Grape Color Using Image-Based Phenotyping.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Evaluating and Mapping Grape Color Using Image-Based Phenotyping

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 52f00843-7831-4df0-b5c1-ec03854125a0 · outbound

This paper cites Image-based phenotyping identifies quan- titative trait loci for cluster compactness in grape.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Image-based phenotyping identifies quan- titative trait loci for cluster compactness in grape

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d4cece25-bf87-426a-afdc-bd109722e861 · outbound

This paper cites Grape cluster architecture and the susceptibility of berries to Botrytis cinerea.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Grape cluster architecture and the susceptibility of berries to Botrytis cinerea

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ee4b1d2d-b7df-427f-bf16-ecf88027675a · outbound

This paper cites A Generalized Loss Function for Crowd Counting and Localization.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation A Generalized Loss Function for Crowd Counting and Localization

Reference 31

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raw_fallback, observed 2026-07-08T23:45:43.871800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T14:10:05.961365Z digest=sha256:1f9cd410fe619f924fe28eae17144dc855cbbb9b46a4ec0a68c7f9f61b4962ee

Observation 18e6f39f-85b4-4835-8796-4206521f404e · outbound

This paper cites A 3D grape bunch reconstruction pipeline based on constraint- based optimisation and restricted reconstruction grammar.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation A 3D grape bunch reconstruction pipeline based on constraint- based optimisation and restricted reconstruction grammar

Reference 32

Resolution
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raw_fallback, observed 2026-07-08T23:45:43.856429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 47da3ae1-dbe0-479d-b83b-338b441e0bc4 · outbound

This paper cites Zabawa et al.Segmentation of wine berries.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Zabawa et al.Segmentation of wine berries

Reference 33

Resolution
verified exact
doi, observed 2026-06-30T14:14:45.104280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation fbd60d0b-a0fb-4717-9e7b-3a07c5f945f5 · outbound

This paper cites Counting of grapevine berries in images via semantic segmentation using convolutional neural networks.

ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation Counting of grapevine berries in images via semantic segmentation using convolutional neural networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T23:45:43.850860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Pith citing papers

No inbound Pith citation observations are available.