Paper Citation Record · LEDGER

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields

As of 21 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2505.19863.

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

pith.paper-citation-record.v1
2505.19863 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:35.268066Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:03:53.448652Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation d85e8b45-cba6-469c-a2bd-3638920ab114 · outbound

This paper cites Fruit sizing using AI: A review of methods and challenges,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Fruit sizing using AI: A review of methods and challenges,

Reference 1

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Observation bbd14a6f-593e-4e22-b4ef-ee4a1f42e15a · outbound

This paper cites Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:18.546010Z

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Observation 04ee7727-d99d-4ef1-b786-396a5626181d · outbound

This paper cites Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion,

Reference 3

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Observation ccecfb86-ac4f-4946-9ca9-003fc2232172 · outbound

This paper cites Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association,

Reference 4

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Observation cfb5e43d-9281-4a18-a1f5-52bd821a5887 · outbound

This paper cites A comparative study of fruit detection and counting methods for yield mapping in apple orchards,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields A comparative study of fruit detection and counting methods for yield mapping in apple orchards,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:18.087586Z

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Observation 009b8c06-60a0-4882-b83f-9dfde9586ffd · outbound

This paper cites FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework,

Reference 6

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Observation ae15b980-6ac1-4697-b17c-aee2edcfbef1 · outbound

This paper cites PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:17.813221Z

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Observation 72d60cab-fac5-47bd-ae6c-48568127714d · outbound

This paper cites Fruit Tracking Over Time Using High-Precision Point Clouds,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Fruit Tracking Over Time Using High-Precision Point Clouds,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:17.684162Z

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Observation b8e39a5d-9760-4cdb-bc95-b375ae6bfb99 · outbound

This paper cites Compact Strawberry Harvesting Tube Employing Laser Cutter,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Compact Strawberry Harvesting Tube Employing Laser Cutter,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:17.532802Z

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Observation 92ad9848-bedc-40b1-bf35-ea86b539d475 · outbound

This paper cites U-Net: Convolutional Net- works for Biomedical Image Segmentation,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields U-Net: Convolutional Net- works for Biomedical Image Segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:17.399696Z

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Observation 7250ccf2-ad3d-457c-8c3f-d4ea683a33d8 · outbound

This paper cites Complete and accurate holly fruit counting using YOLOX object detection,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Complete and accurate holly fruit counting using YOLOX object detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:17.282981Z

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Observation b5d62248-a9ee-4c23-8a96-7d0cc2a99531 · outbound

This paper cites Dimensionality Reduction by Learning an Invariant Mapping,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Dimensionality Reduction by Learning an Invariant Mapping,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:17.163226Z

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Observation 6649f919-fa0a-47cb-a2b7-be601ba0c02d · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields A Simple Framework for Contrastive Learning of Visual Representations,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:17.038909Z

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Observation 35e7bcb2-1b59-4355-aac1-c4d5e463df43 · outbound

This paper cites Unsupervised Semantic Segmentation by Distilling Feature Corre- spondences,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Unsupervised Semantic Segmentation by Distilling Feature Corre- spondences,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:16.923384Z

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Observation 3d06dbf1-bf37-4674-8d42-824875db7202 · outbound

This paper cites CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:16.807169Z

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Observation bf034953-6cfb-47bf-8f63-40c67d6b947b · outbound

This paper cites Blind Localization and Clustering of Anomalies in Textures,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Blind Localization and Clustering of Anomalies in Textures,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:16.615231Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e25670aa-5781-45de-b988-47e34e3bcab7 · outbound

This paper cites Contrastive Learning of General-Purpose Audio Representations,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Contrastive Learning of General-Purpose Audio Representations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:16.491602Z

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Observation 35366453-8dbc-4adf-8f4a-8b0cbc70641a · outbound

This paper cites FaceNet: A Unified Embedding for Face Recognition and Clustering,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields FaceNet: A Unified Embedding for Face Recognition and Clustering,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:16.339718Z

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Observation 4ad43a04-beb6-43ba-989d-14fadf02fa9b · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields ArcFace: Additive Angular Margin Loss for Deep Face Recognition,

Reference 19

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Observation 8a3eac4d-cf4f-4d1e-9c13-b1ca24f2104b · outbound

This paper cites Improved Deep Metric Learning with Multi-class N-pair Loss Objective,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Improved Deep Metric Learning with Multi-class N-pair Loss Objective,

Reference 20

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Observation 112d79fa-6136-4c23-8512-df4822c1857f · outbound

This paper cites Representation Learning with Contrastive Predictive Coding,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Representation Learning with Contrastive Predictive Coding,

Reference 21

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Observation 2a625e53-897a-46d9-8380-64fa24b8bd95 · outbound

This paper cites Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion,

Reference 22

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Observation de2e0c39-ed34-4f0c-ba8e-1e64895cf12d · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,

Reference 23

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Observation b5504642-4982-4664-b19f-4c3867693caa · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Momentum contrast for unsupervised visual representation learning

Reference 24

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Observation f7879a94-e077-48dc-9fa0-0f6406db9960 · outbound

This paper cites Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields,

Reference 25

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8595c233-54ff-476e-8168-8a5615724aa4 · outbound

This paper cites KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

Reference 26

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Observation abf12ff9-5947-4b9c-bc08-12dba1ce6a18 · outbound

This paper cites PlenOctrees for Real-time Rendering of Neural Radiance Fields,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields PlenOctrees for Real-time Rendering of Neural Radiance Fields,

Reference 27

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Observation 7210424e-d9ab-4086-bd73-12ee0be9d3df · outbound

This paper cites Plenoxels: Radiance Fields without Neural Networks,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Plenoxels: Radiance Fields without Neural Networks,

Reference 28

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Observation 7a178f4e-39b9-4548-894c-23afe1fadd9c · outbound

This paper cites Instant Neural Graphics Primitives with a Multiresolution Hash Encoding,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Instant Neural Graphics Primitives with a Multiresolution Hash Encoding,

Reference 29

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Observation c6212678-1fae-4599-97d3-ffebddffae44 · outbound

This paper cites In-Place Scene Labelling and Understanding with Implicit Scene Representation,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields In-Place Scene Labelling and Understanding with Implicit Scene Representation,

Reference 30

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Observation f7a6ff02-f0c9-42ee-b2d9-32b15c583b89 · outbound

This paper cites Instance Neural Radiance Field,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Instance Neural Radiance Field,

Reference 31

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Observation 0ffdad61-a572-447b-942f-8efa78b17b23 · outbound

This paper cites Panoptic Lifting for 3D Scene Understanding With Neural Fields,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Panoptic Lifting for 3D Scene Understanding With Neural Fields,

Reference 32

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Observation 3ecba69c-89ad-46a7-8b33-f37e7a32d2a9 · outbound

This paper cites [Online:https:// www.xfrog.com/product-page/library-fruit-trees].

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields [Online:https:// www.xfrog.com/product-page/library-fruit-trees]

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:12.690740Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86230d60-6345-45ed-bc31-4f31279f44bd · outbound

This paper cites BlenderNeRF.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields BlenderNeRF

Reference 34

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Observation 05df8c1e-438a-4415-95db-760328c115c4 · outbound

This paper cites Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:12.457435Z

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Observation 7f709b73-d3a6-4f3d-862f-01bc5fec079f · outbound

This paper cites Structure-from-Motion Revisited,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Structure-from-Motion Revisited,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:12.215811Z

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Observation d64d0f28-b516-42fa-a6ef-2705fe34ce61 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:11.959887Z

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Observation ea715134-84c2-4dcf-8832-79151c424d01 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:11.669890Z

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Observation cdf41f84-93e9-4f23-b835-44ecc36bac8c · outbound

This paper cites Segment Anything,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Segment Anything,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:11.426818Z

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Observation e166fae7-a641-495e-a2f8-3572211c097e · outbound

This paper cites Segment Anything in High Quality,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Segment Anything in High Quality,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:11.181558Z

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Observation 384c64ae-cf76-4d57-b7f6-fb82ceddeb95 · outbound

This paper cites Detecting Twenty-thousand Classes using Image-level Supervision,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Detecting Twenty-thousand Classes using Image-level Supervision,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:10.953293Z

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Observation 98dea01a-415c-4963-82f0-9a27f62dc51a · outbound

This paper cites LVIS: A Dataset for Large Vocabulary Instance Segmentation,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields LVIS: A Dataset for Large Vocabulary Instance Segmentation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:10.729940Z

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Observation 2303b33c-77af-4fa3-a1cc-e538aee2d9cd · outbound

This paper cites Radford, J.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Radford, J

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:10.537327Z

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Observation 27585576-84b4-4cd6-957d-c8a108be379c · outbound

This paper cites Exploring Multi- modal Neural Scene Representations With Applications on Thermal Imaging,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Exploring Multi- modal Neural Scene Representations With Applications on Thermal Imaging,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:10.322330Z

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Observation 31bb5a99-5d3e-407c-954a-1bc99ad0a668 · outbound

This paper cites Nerfstudio: A Modular Framework for Neural Radiance Field Development,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Nerfstudio: A Modular Framework for Neural Radiance Field Development,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:10.103939Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ede4b186-3eff-4166-a4f2-fd327e61c5ec · outbound

This paper cites A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:09.945463Z

Source-reported events for the cited work

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Observation b8b6e4f7-d3e5-4c69-9d87-94d21e04a21c · outbound

This paper cites Scikit-learn: Machine Learning in Python,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Scikit-learn: Machine Learning in Python,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:09.810036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 697e8fca-283d-4b8c-9fec-1d5cf431e13c · outbound

This paper cites Density-Based Clustering Based on Hierarchical Density Estimates,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Density-Based Clustering Based on Hierarchical Density Estimates,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:09.656754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b3d826e3-5c14-45db-a958-6e205805bb1e · outbound

This paper cites Understanding the Behaviour of Contrastive Loss.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Understanding the Behaviour of Contrastive Loss

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:11:09.214373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 437afe02-6d5d-4f7c-9b2e-3ffca793c95f · outbound

This paper cites B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:09.534521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cc75db3-9e64-4cbe-a24f-a5d6af88849b · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields 3D Gaussian Splatting for Real-Time Radiance Field Rendering,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:09.389189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac15b36c-d3c0-4ff1-a42b-1b237f903319 · outbound

This paper cites Zero-Shot Object Counting,.

FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields Zero-Shot Object Counting,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:09.323183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 0635b2ef-0bd7-41ae-84dd-2975f7e28777 · inbound

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting cites this paper.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.268066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f58b98e9-9dc0-4ec0-9a3a-9c83e35dc303 · inbound

Towards Integrating Multi-Spectral Imaging with Gaussian Splatting cites this paper.

Towards Integrating Multi-Spectral Imaging with Gaussian Splatting FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:03:53.588561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.