Paper Citation Record · LEDGER

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.01109.

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

pith.paper-citation-record.v1
2506.01109 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:36.514459Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:33.959688Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:55:36.867511Z

Reference resolution

31 of 31 outbound references displayed

verified exact2
verified fuzzy22
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 201568cf-02d6-4cb5-940c-0ac4b0312941 · outbound

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

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:55:36.908027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33fe6023-bda7-4a86-8220-d184b81762d7 · outbound

This paper cites Fruit Counting in Precision Agriculture Fruit counting is essential in precision agriculture, support- ing yield prediction, harvest planning, and crop-load man- agement.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Fruit Counting in Precision Agriculture Fruit counting is essential in precision agriculture, support- ing yield prediction, harvest planning, and crop-load man- agement

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:40.524369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17160c66-a9c0-4886-85ef-a8e65e286da6 · outbound

This paper cites The over- all pipeline is shown in Fig.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting The over- all pipeline is shown in Fig

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:40.285630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c870426a-ddf2-47da-a79a-c19f537d9e27 · outbound

This paper cites an unresolved cited work.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Unresolved cited work

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:55:36.785815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b66baeb-e031-40d9-a866-24f4da030c87 · outbound

This paper cites w/o Language-Conditioned Embedding.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting w/o Language-Conditioned Embedding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:40.080220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d3fcc62-b678-4b5b-bf18-e8d3c7cc1464 · outbound

This paper cites This de- sign eliminates the need for category-specific training or per-frame annotations, enabling prompt-driven counting di- rectly on reconstructed scenes.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting This de- sign eliminates the need for category-specific training or per-frame annotations, enabling prompt-driven counting di- rectly on reconstructed scenes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.770224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c5e4939-dd1f-472f-9c74-b4882a7ce235 · outbound

This paper cites Precision farming for sustainabil- ity: An agricultural intelligence model,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Precision farming for sustainabil- ity: An agricultural intelligence model,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.502464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c0ba912-6461-4197-a481-8787d513c13a · outbound

This paper cites A review on precision agriculture nav- igating the future of farming with ai and iot,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting A review on precision agriculture nav- igating the future of farming with ai and iot,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.349196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af1b08d3-b6b4-45f9-bd6f-4aa5321893a8 · outbound

This paper cites Iot and ai for next-generation farming: Opportunities, chal- lenges, and outlook,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Iot and ai for next-generation farming: Opportunities, chal- lenges, and outlook,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.143126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b59cd1a-54fd-4297-b0d5-45b21aa30b55 · outbound

This paper cites Developing machine vision in tree-fruit applications—fruit count, fruit size and branch avoidance in automated harvesting,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Developing machine vision in tree-fruit applications—fruit count, fruit size and branch avoidance in automated harvesting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.023820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af71e2a2-2735-46e9-9fec-d3dedb496fa7 · outbound

This paper cites Automatic fruit recognition and counting from multiple images,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Automatic fruit recognition and counting from multiple images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.832315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6404e799-aa1b-4dbb-868a-ebbf3ad52698 · outbound

This paper cites Deep count: fruit counting based on deep simulated learning,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Deep count: fruit counting based on deep simulated learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.663794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5295c8c7-0479-4f31-8efc-953e4cc76410 · outbound

This paper cites Agrocounters—a reposi- tory for counting objects in images in the agricultural domain by using deep-learning algorithms: Framework and evaluation,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Agrocounters—a reposi- tory for counting objects in images in the agricultural domain by using deep-learning algorithms: Framework and evaluation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.477269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 856748ac-42cb-47fa-a8ee-31de2f66aed9 · outbound

This paper cites Robust fruit counting: Combining deep learning, tracking, and struc- ture from motion,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Robust fruit counting: Combining deep learning, tracking, and struc- ture from motion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.363722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8b6f088-0507-4e30-b7b9-532238ccc4a8 · outbound

This paper cites Fruitnerf: A unified neural radiance field based fruit counting framework,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Fruitnerf: A unified neural radiance field based fruit counting framework,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.251540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

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

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 59488b66-dc2d-4bde-b859-fb9e4abeebf5 · outbound

This paper cites A weakly- supervised approach for flower/fruit counting in apple orchards,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting A weakly- supervised approach for flower/fruit counting in apple orchards,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.131768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0ced583-bd8e-4959-a2a2-bed9146305f6 · outbound

This paper cites Tracking and counting of tomato at different growth period using an improving yolo-deepsort network for inspection robot,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Tracking and counting of tomato at different growth period using an improving yolo-deepsort network for inspection robot,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.044582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b09100b-e33d-4ec1-8f2f-5211f71e390b · outbound

This paper cites You only look once: Unified, real-time object detection,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting You only look once: Unified, real-time object detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:37.910082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8399dc84-bf7f-4aec-82f8-25d38a8dc21a · outbound

This paper cites Colour-agnostic shape-based 3d fruit detection for crop harvesting robots,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Colour-agnostic shape-based 3d fruit detection for crop harvesting robots,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:37.787525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d80a9971-a45d-45a9-a066-81baad966469 · outbound

This paper cites High-precision fruit localization using active laser-camera scanning: Robust laser line extraction for 2d-3d transformation,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting High-precision fruit localization using active laser-camera scanning: Robust laser line extraction for 2d-3d transformation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:37.669402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ada828e5-3921-4da8-95c0-864437ce0375 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.749853Z

Source-reported events for the cited work

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Observation b9021216-14be-4ba8-87c1-2dc973a47981 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:37.560465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 863de812-6e6d-4849-9729-7b2ce21bfd19 · outbound

This paper cites Adr- gaussian: Accelerating gaussian splatting with adaptive radius,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Adr- gaussian: Accelerating gaussian splatting with adaptive radius,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.914907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae13fc3c-9603-4b02-bc5b-cf2f1ec28b59 · outbound

This paper cites Taming 3dgs: High-quality radiance fields with limited resources,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Taming 3dgs: High-quality radiance fields with limited resources,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:36.022890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb00fac-9255-4156-9443-62075e6c4401 · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Learning transferable visual models from natural lan- guage supervision,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:36.128831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 597bd10d-0048-4cc1-8a21-4904097c87b4 · outbound

This paper cites Langsplat: 3d language gaussian splatting,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Langsplat: 3d language gaussian splatting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:37.429822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b44f953a-ee26-421c-88ba-dc31121a2a79 · outbound

This paper cites Segment anything,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Segment anything,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:36.308991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ece4c9-1384-4eb2-864e-c9c8966c7942 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:37.306329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b5626a2-5a8a-4bbb-877d-6795623cc547 · outbound

This paper cites an unresolved cited work.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:55:37.191681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da2036cd-469f-4923-80e1-8cc9df88e0df · outbound

This paper cites Track- ing and counting apples in orchards under intermittent occlusions and low frame rates,.

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting Track- ing and counting apples in orchards under intermittent occlusions and low frame rates,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:37.034973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 201568cf-02d6-4cb5-940c-0ac4b0312941 · inbound