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Paper Citation Record · LEDGER

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View

As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.19508.

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

pith.paper-citation-record.v1
2508.19508 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:55:49.249842Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy35
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7aa0339-b91a-484e-8601-ba7c6bf07592 · outbound

This paper cites an unresolved cited work.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:55:49.790384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b25e1485-7ccc-4ddc-b2aa-4a796cbdcc73 · outbound

This paper cites ”High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection.” Computers and electronics in agriculture 187 (2021): 106276.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection.” Computers and electronics in agriculture 187 (2021): 106276

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ec00d3bc-0acf-4d6b-a20d-644b7c36cffc · outbound

This paper cites ”AppleQSM: Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards.” Plant Phenomics 6 (2024): 0179.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”AppleQSM: Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards.” Plant Phenomics 6 (2024): 0179

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.088308Z digest=sha256:987dee4cf964618a6ee6bc591fb86cdc59dbbcf802597caff0d809e5e29ade53

Observation e5ea5191-be95-48b5-86a8-3cdfe5b5c5ca · outbound

This paper cites ”Robust fruit counting: Combining deep learning, tracking, and structure from motion.” 2018 IEEE/RSJ international Conference on intelligent robots and systems (IROS).

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Robust fruit counting: Combining deep learning, tracking, and structure from motion.” 2018 IEEE/RSJ international Conference on intelligent robots and systems (IROS)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.760832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.091815Z digest=sha256:331e488204214e25f1c66dc9d49857cfe97db3bb68b6afba108a9704df2d97eb

Observation 91209e31-1a5e-4201-8f12-fdab42a204d1 · outbound

This paper cites ”Deep learning based segmentation for automated training of apple trees on trellis wires.” Computers and Electronics in Agriculture 170 (2020): 105277.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Deep learning based segmentation for automated training of apple trees on trellis wires.” Computers and Electronics in Agriculture 170 (2020): 105277

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.751208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.095492Z digest=sha256:4f974e055a0195e1e6ed7c6c238cd3115301b1a1a9186fb3454b487be8cc1f40

Observation 7a429d00-4d7c-4633-89bb-1302175f07b6 · outbound

This paper cites ”Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review.” Computers and Electronics in Agriculture 177 (2020): 105687.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review.” Computers and Electronics in Agriculture 177 (2020): 105687

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.740854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.099005Z digest=sha256:14aa46c56bde25ad90b66b4e986afc2c038362c81908cb42ab60f0955479b768

Observation c0d3fd98-1c7e-40c8-9376-0ee1a6843440 · outbound

This paper cites ”Apple crop-load estimation with over-the-row machine vision system.” Computers and Electronics in Agriculture 120 (2016): 26- 35.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Apple crop-load estimation with over-the-row machine vision system.” Computers and Electronics in Agriculture 120 (2016): 26- 35

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.715824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.102596Z digest=sha256:dbc3be3995cd23c4966908cc39d01d88267ca197236c1e2f6a896509e1533ef4

Observation a04fa914-7971-4c36-bd00-b6e56b63138c · outbound

This paper cites an unresolved cited work.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:55:49.706114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.106070Z digest=sha256:c127053ed50ff1b70c238f8ffe1f7ebfcaabcb95512fe99b4d7b711bd2157b75

Observation 3b4d02c1-7193-4bc1-ba9d-80e8ed3a35ad · outbound

This paper cites ”Archie Snr: A Robotic Platform for Autonomous Apple Fruitlet Thinning.” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Archie Snr: A Robotic Platform for Autonomous Apple Fruitlet Thinning.” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.696662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.109456Z digest=sha256:d041c3f7be33a120aff06c6ff9fcf0eeeeacfcb68d5adec30a3ae0b6fafc04fa

Observation 7b212c95-05e2-4a92-a9e3-638e5e0266a9 · outbound

This paper cites ”A comparative study of fruit detection and counting methods for yield mapping in apple orchards.” Journal of Field Robotics 37.2 (2020): 263-282.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”A comparative study of fruit detection and counting methods for yield mapping in apple orchards.” Journal of Field Robotics 37.2 (2020): 263-282

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.686632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.112806Z digest=sha256:bba9112d2c353b847a40e08668d5b9829a69851f515e6b27ed128ecee8b7671b

Observation af51eabe-b0b1-4e72-ab3f-b86a25415a79 · outbound

This paper cites Seitz, and Richard Szeliski.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Seitz, and Richard Szeliski

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.677033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.116131Z digest=sha256:c5e9279e5cd529e59df7c96a3ea07178b9856e41cf9da69b26caa78cf2b545c8

Observation 7b61ffef-4def-4702-942d-7fbc35b751ed · outbound

This paper cites ”Accurate, dense, and robust mul- tiview stereopsis.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Accurate, dense, and robust mul- tiview stereopsis.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.667717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.119269Z digest=sha256:229b7771b3e560488df57e5b642cf3ef73293ffd6d7e3632dd4d588b239915e8

Observation 486e54b8-8a6e-4dbc-b725-fdc05c317bc1 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Srinivasan, Matthew Tancik, Jonathan T

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.658105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.122911Z digest=sha256:93eea96273223df01a06d5ccfbc8e49cecef1b17b851d25043074686bcc572b5

Observation 8ac05809-eb26-45d5-834c-1df3e2a4d719 · outbound

This paper cites NeRF++: Analyzing and Improving Neural Radiance Fields.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.126264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.126264Z digest=sha256:272e8c36fd723da8ea8daecd814dae7472a9872cb031b5f90c28ecd3b576f4c6

Observation 76a8b248-b670-48e7-af69-e001daf7f955 · outbound

This paper cites Srinivasan.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Srinivasan

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.647703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.129983Z digest=sha256:70220fff96c7f324bb28aee25c85d2a8adabcd88c2057de43c4c2819453b86d3

Observation 958fd690-8386-4044-ad19-6e0c64a792a8 · outbound

This paper cites ”pixelnerf: Neural radiance fields from one or few images.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”pixelnerf: Neural radiance fields from one or few images.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.638261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.133101Z digest=sha256:407ecd27c5e0feaf5ae677fffbc24ea7e2e2df0a8770aaec4b1a23bfab7ca8ae

Observation f9fa52b7-1ec6-4eae-94ef-64bca0f3aa06 · outbound

This paper cites ”Mvsnerf: Fast generalizable radiance field re- construction from multi-view stereo.” Proceedings of the IEEE/CVF international conference on computer vision.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Mvsnerf: Fast generalizable radiance field re- construction from multi-view stereo.” Proceedings of the IEEE/CVF international conference on computer vision

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.628224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.136363Z digest=sha256:6589005d026d34642470d66872874f5606b04c2dd3f2d647f7ddcc4160613e8c

Observation 0499088e-04da-43fb-801b-acff5e1d1f85 · outbound

This paper cites ”Denoising diffusion proba- bilistic models.” Advances in Neural Information Processing Systems 33 (2020): 6840-6851.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Denoising diffusion proba- bilistic models.” Advances in Neural Information Processing Systems 33 (2020): 6840-6851

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.618485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.139561Z digest=sha256:47dec9d13ef0e4373c001241ec064e1f97665565097c060ed12dd362f01a3393

Observation 2cc2a96c-9b46-4ba7-855a-a6e12ca7b479 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View DreamFusion: Text-to-3D using 2D Diffusion

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.142700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.142700Z digest=sha256:d4b7ff39ad0ee828de4cbb2df11d6b644f4938dee896a1d65f65ebf685016012

Observation fd438380-cbc8-4d0c-8b84-d5953cc22110 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View LRM: Large Reconstruction Model for Single Image to 3D

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.146189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.146189Z digest=sha256:105214c33ce6e3d975cb1e7ea2f90be261ece175cfbc0307927bee4c313f55a8

Observation 85ea6927-ed34-47a3-9fa9-34899346f760 · outbound

This paper cites ”Adaptive 3D face reconstruction from unconstrained photo collections.” Proceedings of the IEEE conference on computer vision and pattern recognition.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Adaptive 3D face reconstruction from unconstrained photo collections.” Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.608965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.149947Z digest=sha256:fbe6ccd8309245078b511bf69d462818c41c098b5be8271e345ce9a90177e2ae

Observation c9a28efe-0d01-4bd3-ba55-147769636219 · outbound

This paper cites ”Shape and viewpoint without keypoints.” Computer Vision–ECCV 2020: 16th Euro- pean Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XV 16.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Shape and viewpoint without keypoints.” Computer Vision–ECCV 2020: 16th Euro- pean Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XV 16

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.599628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.153178Z digest=sha256:17ce976cf8149d1a36d3e255a3364399659892b919eedac3602fef0b34f2102c

Observation 2a271e4a-8ac0-4a24-9834-e5d47861e373 · outbound

This paper cites an unresolved cited work.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:55:49.589877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.156299Z digest=sha256:6ccb18163c70ebda7d8d618067e321cf38fd0d2f63888e6d29bafc1815c7c1ad

Observation 88abb493-d397-4026-927d-2b2c473b1047 · outbound

This paper cites ”Precise 3D reconstruction of plants from UA V imagery combining bundle adjustment and template matching.” 2022 International Conference on Robotics and Automation (ICRA).

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Precise 3D reconstruction of plants from UA V imagery combining bundle adjustment and template matching.” 2022 International Conference on Robotics and Automation (ICRA)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.580734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.159486Z digest=sha256:b2f17acc3adfe693ec8293016538d8c7cb1679c0250ca2d1849c5a11806fd731

Observation 9b4321f0-e420-422a-bb1a-85f873ce0817 · outbound

This paper cites an unresolved cited work.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:55:49.570481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.162866Z digest=sha256:ee8b977167cceba2e9f69235620a635fa07e4fd268f5b31a96e158c780337c06

Observation 0b75c460-5a5e-4551-83df-c3c34ad0b021 · outbound

This paper cites ”V olume rendering of neural implicit surfaces.” Advances in Neural Information Processing Systems 34 (2021): 4805- 4815.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”V olume rendering of neural implicit surfaces.” Advances in Neural Information Processing Systems 34 (2021): 4805- 4815

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.561311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.165992Z digest=sha256:bcf354e4ba01b280091434c0862beed6631a65527e52f8c5785f18d39d28cd69

Observation 5589ab02-ebf4-446c-91e9-2ae314ca7ed2 · outbound

This paper cites ”Zero-1-to-3: Zero-shot one image to 3d object.” Proceedings of the IEEE/CVF international conference on computer vision.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Zero-1-to-3: Zero-shot one image to 3d object.” Proceedings of the IEEE/CVF international conference on computer vision

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.551604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.169039Z digest=sha256:46b36307a14f19a323457ebeedd4bd0d2d73c69c28476b58b1ec80e0242937bc

Observation 65a3d0f0-966d-404b-8c3c-540c757c7cd1 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.172111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.172111Z digest=sha256:d08b9cb33e4fa45dbb069698a4982688e142a24793291b41ff29c5968c2eb51f

Observation 63f8d838-8814-4ac8-916d-e2e8cd0f2ab7 · outbound

This paper cites Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.175580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.175580Z digest=sha256:0b2331bc3a8122ba63bddb0828999c586aaa0191df31bb8fe6985894a07c970e

Observation 345ba46d-e4f8-4888-8e66-92dd319d45f2 · outbound

This paper cites an unresolved cited work.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:55:49.542125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.178944Z digest=sha256:3375d2b72903e1831e439a33da8a97001241633c388e43c7275cc0ec7afdbafe

Observation f693f764-0dd6-40d0-8090-ff631f16e019 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.182067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.182067Z digest=sha256:90a1e8480c146849090fa3dfc249ce83bb032da1f62553ea4c3c31bfe32d32ad

Observation 232a66df-ca7b-4ff1-834e-a9128f0f522f · outbound

This paper cites ”Efficient geometry-aware 3d generative adversarial networks.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Efficient geometry-aware 3d generative adversarial networks.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.532830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.185274Z digest=sha256:4755dab86698d14e1de142c32d2466f3bc5b84832adc66d367ce68098aaacb2f

Observation fe47f0f1-e993-4f36-9d98-940f6e2affb9 · outbound

This paper cites ”Lgm: Large multi-view gaussian model for high-resolution 3d content creation.” European Conference on Computer Vision.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Lgm: Large multi-view gaussian model for high-resolution 3d content creation.” European Conference on Computer Vision

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.523195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.188405Z digest=sha256:f3dd1be886fe291ea6952adba5c35cf3c3a5ef494984a1a53221e21d68ab7299

Observation 3eae6c81-b9f5-4206-b9cc-630f1f37d7b0 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.191404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.191404Z digest=sha256:c447632f77d36539245ff9a0f9f58c315ced70fc65e347b7ac9ebef30e0dbad4

Observation 32638c0f-c6af-4757-b7f1-aadf502c11a9 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View MVDream: Multi-view Diffusion for 3D Generation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.194562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.194562Z digest=sha256:5a183f4ba23b003f93454127a5108e304e3287bfa9521060981b710dafb25dc7

Observation e1b5f064-96c7-4371-bbdf-e16c6e7cd056 · outbound

This paper cites ”Eff-3dpseg: 3d organ-level plant shoot segmentation using annotation-efficient deep learning.” Plant Phenomics 5 (2023): 0080.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Eff-3dpseg: 3d organ-level plant shoot segmentation using annotation-efficient deep learning.” Plant Phenomics 5 (2023): 0080

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.513425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.198497Z digest=sha256:556de657a28ca75be34e71d4cdb23658ee06b209f57b5f01ac22a0fa6cbb4590

Observation 08857e92-5839-43b7-bcc1-2b1225e530fa · outbound

This paper cites ”PlantSegNet: 3D point cloud instance segmen- tation of nearby plant organs with identical semantics.” Computers and Electronics in Agriculture 221 (2024): 108922.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”PlantSegNet: 3D point cloud instance segmen- tation of nearby plant organs with identical semantics.” Computers and Electronics in Agriculture 221 (2024): 108922

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.503637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.201670Z digest=sha256:bed93aff376938a00371ce346d480efb644fe1016fff2deb229ed1b6cd8fcd7c

Observation 557e6857-f70f-41f0-81b7-30a9c9ae0f31 · outbound

This paper cites ”(Real2Sim): 3D Branch Point Cloud Completion for Robotic Pruning in Apple Orchards.” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”(Real2Sim): 3D Branch Point Cloud Completion for Robotic Pruning in Apple Orchards.” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.493061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.204689Z digest=sha256:afc380f9c132083024e227c2e22baf6d8097e3bfb27dc90dbf0ae930e0d6cb35

Observation d1fa8a7e-0b8c-4110-9136-58d5d9a9d3a8 · outbound

This paper cites Joint 3D Point Cloud Segmentation using Real-Sim Loop: From Panels to Trees and Branches.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Joint 3D Point Cloud Segmentation using Real-Sim Loop: From Panels to Trees and Branches

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:55:49.293909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.207854Z digest=sha256:fa32703cf3c3b5d6b1117f852014c3ec1e14f17aa51ff2869e15d62593595194

Observation d2e37977-0304-481e-b0f7-5b66af232a8a · outbound

This paper cites ”Neural Implicit Representation-based Tree Crop Plant 3D Reconstruction.” 2023 ASABE Annual International Meeting.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Neural Implicit Representation-based Tree Crop Plant 3D Reconstruction.” 2023 ASABE Annual International Meeting

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.483215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.211177Z digest=sha256:6f27c92d25f70bf2e596c292a84f8b9fc476612790f425699c6afd1787d12ba9

Observation 42399041-9ab6-425d-befa-eb16a630ce4b · outbound

This paper cites ”PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics.” IEEE Robotics and Automation Letters 9.1 (2023): 907-914.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics.” IEEE Robotics and Automation Letters 9.1 (2023): 907-914

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.473703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.214232Z digest=sha256:681a4bc6d32fd81505c607df66d63966cd0367ac3117e483134051f48f479e0e

Observation 38b356c3-ef85-4e23-b67b-98c35d047971 · outbound

This paper cites ”FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework.” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework.” 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.463710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.217670Z digest=sha256:5fa10d5804846adfefb4749352179285405217db6f646a5088cbb2129c3840cc

Observation 38af3eb8-db9e-42a8-9376-cc5a90763335 · outbound

This paper cites ”Cotton3DGaussians: Multiview 3D Gaussian Splat- ting for boll mapping and plant architecture analysis.” Computers and Electronics in Agriculture 234 (2025): 110293.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Cotton3DGaussians: Multiview 3D Gaussian Splat- ting for boll mapping and plant architecture analysis.” Computers and Electronics in Agriculture 234 (2025): 110293

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.453766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.221165Z digest=sha256:867c430269e61a45a9148a483ccf95c9458410e8fc40d4512c22e93351d68c16

Observation 744c205c-e93e-4261-bf31-3df1003784d2 · outbound

This paper cites ”Autonomous Robotic Pepper Harvesting: Imitation Learning in Unstructured Agricul- tural Environments.” IEEE Robotics and Automation Letters (2025).

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Autonomous Robotic Pepper Harvesting: Imitation Learning in Unstructured Agricul- tural Environments.” IEEE Robotics and Automation Letters (2025)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.444081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.224464Z digest=sha256:2bff4cb33cbbf527512633ad49a35e9c01bd1d39ccc971d73e4dddfb05c1ee2d

Observation 005dca32-292d-480f-8c19-74de10042276 · outbound

This paper cites an unresolved cited work.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:55:49.434202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.227809Z digest=sha256:3a0c856709a84be4286b694ddc56ec5c66f47059def0af497577215ee0e170b0

Observation dab0769d-1b79-48b6-b280-4cbaced19ca6 · outbound

This paper cites ”Single-view-based high-fidelity three-dimensional reconstruction of leaves.” Computers and Electronics in Agriculture 227 (2024): 109682.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Single-view-based high-fidelity three-dimensional reconstruction of leaves.” Computers and Electronics in Agriculture 227 (2024): 109682

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.424733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.230893Z digest=sha256:1570ae281dfd97db3966fb7d52353a5e2b7de890f359e27c0d1b263f2efcdb75

Observation b58f0bde-c3c0-437e-a673-88d7021b9542 · outbound

This paper cites ”Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors.” European Conference on Computer Vision.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors.” European Conference on Computer Vision

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.413726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.234024Z digest=sha256:f869c0c4ca5ad44d48a3452521b6cf15f1eb50dab54817c684e5e7e30127c289

Observation 5239e880-c65e-481e-bd2a-8566e6f5fd07 · outbound

This paper cites an unresolved cited work.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:55:49.403995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.237096Z digest=sha256:121e7713810f1801bcd14af959ce660a3d5417abc3870133ab0ed6ed1af79d40

Observation b90bc53c-757b-4f1d-872f-aa6c38d2c398 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:49.240212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:49.240212Z digest=sha256:7d59bc98d05d31b83102d39788e60cf23c71f961e203d7ba4622a431de3c297e

Observation 53479c95-f2d0-4aa0-9718-97a9d44385fa · outbound

This paper cites ”Spar3d: Stable point-aware reconstruction of 3d objects from single images.” Proceedings of the Computer Vision and Pattern Recognition Conference.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Spar3d: Stable point-aware reconstruction of 3d objects from single images.” Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.394513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.243648Z digest=sha256:a4c71cbfc0e1786d97a006f92027dc303ad2f8f1e35cfe540b0bf373b552a324

Observation bfaecc41-d89b-4e59-8e2a-f01022852e35 · outbound

This paper cites ”Nerfstudio: A modular framework for neural radiance field development.” ACM SIGGRAPH 2023 conference proceed- ings.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Nerfstudio: A modular framework for neural radiance field development.” ACM SIGGRAPH 2023 conference proceed- ings

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.384309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.246727Z digest=sha256:37a45854f8408d7d6ae9891380f48ad0cdbaebd61f0bbb80c32c6b333143fa7d

Observation ec98788f-1562-475a-a6f4-829610bd2e45 · outbound

This paper cites ”Structure-from- motion revisited.” Proceedings of the IEEE conference on computer vision and pattern recognition.

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View ”Structure-from- motion revisited.” Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:49.374321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:49.249842Z digest=sha256:5eecea43b6772768877aff319fd149abed67f3ffab37400716f463501e6a0a62

Pith citing papers

No inbound Pith citation observations are available.