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Paper Citation Record · LEDGER

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.03109.

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

pith.paper-citation-record.v1
2608.03109 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:56:16.673197Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved9
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7597b178-d7f6-4674-9f9b-d3b55616d510 · outbound

This paper cites an unresolved cited work.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 065d5a12-64ea-40f3-a826-25bc23c8ca05 · outbound

This paper cites GPT-4 Technical Report.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis GPT-4 Technical Report

Reference 2

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no resolver link, observed 2026-08-08T00:56:16.485526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.485526Z digest=sha256:3c592b52b2453fc2afef20d3c003fece984cb544551a0f1fd437c855ab3ca902

Observation c1866860-7150-4722-aaf7-0c9a63a404ed · outbound

This paper cites Unlocking plant secrets: A systematic review of 3d imaging in plant phenotyping techniques.Computers and Electronics in Agriculture, 222:109033, 2024.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Unlocking plant secrets: A systematic review of 3d imaging in plant phenotyping techniques.Computers and Electronics in Agriculture, 222:109033, 2024

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 2026-08-08T06:32:00.761636+00:00.

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Observation a9ce03aa-6fa2-4b58-8370-adc5792df2b6 · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Bottom-up and top-down attention for image captioning and visual question answering

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.508553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.494396Z digest=sha256:2218981d0915a9b59ef98cbb905e87269965c2bc344b67ac3ba393db086ca319

Observation 566dcf45-9d4c-4d13-b317-785c503b4d66 · outbound

This paper cites Hyperspectral imaging: a novel approach for plant root phenotyping.Plant methods, 14:1–17, 2018.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Hyperspectral imaging: a novel approach for plant root phenotyping.Plant methods, 14:1–17, 2018

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 245e73ed-2f0a-4d46-8a79-725a9f027c3b · outbound

This paper cites Springer Science & Business Media, 2012.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Springer Science & Business Media, 2012

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4db0ae3e-f372-48c9-a4be-9e9ebee64f98 · outbound

This paper cites Language Models are Few-Shot Learners.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Language Models are Few-Shot Learners

Reference 7

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unresolved
no resolver link, observed 2026-08-08T00:56:16.507630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.507630Z digest=sha256:d4108445fe5546fbd4ba74e01a1cb0e45f1338a330e2f95bb9fe0ff6783a821c

Observation 7b2ebeda-abb0-40e3-9a67-ba8b61fb2e20 · outbound

This paper cites Does tone change the answer? evaluating prompt politeness effects on modern LLMs: GPT, Gemini, and LLaMA.arXiv preprint arXiv:2512.12812, 2025.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Does tone change the answer? evaluating prompt politeness effects on modern LLMs: GPT, Gemini, and LLaMA.arXiv preprint arXiv:2512.12812, 2025

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T00:56:16.512468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.512468Z digest=sha256:35cc4a3124f83fb18e60ab9b410e1f30769b047d448ba5dc3477f80fee85db1b

Observation 8c919fab-8db8-4900-b1c3-ad7965bf16b7 · outbound

This paper cites Hyperpri: a dataset of hyperspectral images for underground plant root study.Computers and Electronics in Agriculture, 225:109307, 2024.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Hyperpri: a dataset of hyperspectral images for underground plant root study.Computers and Electronics in Agriculture, 225:109307, 2024

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 34423b17-066e-48e1-95d5-9f5fc5899557 · outbound

This paper cites Vqa therapy: Exploring answer differences by visually grounding answers.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Vqa therapy: Exploring answer differences by visually grounding answers

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.520745Z digest=sha256:5d1954083c06803a55359db7ade41dec5aabd80973a75ff7f4e36cf2356957dc

Observation cea94dd8-da71-4611-af14-693b6793a3fa · outbound

This paper cites Uniter: Universal image-text representation learning.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Uniter: Universal image-text representation learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.451310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2929a707-fba4-46a1-80a2-d2ab51e30a0c · outbound

This paper cites Smart-tree: neural medial axis approximation of point clouds for 3d tree skeletonization.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Smart-tree: neural medial axis approximation of point clouds for 3d tree skeletonization

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.439522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.529062Z digest=sha256:3def66a11d075a33d24523bee3edbc2cac54293350ece03d227d402b7d3790ff

Observation 2f185fe8-880b-4c26-85fa-bfbc3ec3840d · outbound

This paper cites Adtree: Accurate, detailed, and automatic modelling of laser-scanned trees.Remote Sensing, 11(18):2074, 2019.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Adtree: Accurate, detailed, and automatic modelling of laser-scanned trees.Remote Sensing, 11(18):2074, 2019

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.427375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.533537Z digest=sha256:428ea81c13234185a1fbfd993401677ed120ea55ecf11096dfdc013e3abc5cbc

Observation c801bdc2-8dcc-4283-a37c-230e5f9d3477 · outbound

This paper cites Boosting transferability in vision-language attacks via diversification along the intersection region of adversarial trajectory.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Boosting transferability in vision-language attacks via diversification along the intersection region of adversarial trajectory

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.416524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.537200Z digest=sha256:d6b690aa5f88dbf179268ac4285b95567245ab75a1bfda3061b3854d51c3eea0

Observation e928ebcf-40db-412e-b701-2b10b705ce04 · outbound

This paper cites CoDES: A context-efficient framework for enhancing small language models via domain-specific adaptation and model ensembling.Preprints, Mar.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis CoDES: A context-efficient framework for enhancing small language models via domain-specific adaptation and model ensembling.Preprints, Mar

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.405796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.541012Z digest=sha256:6aa9dbbe15c1068812d6748dcc81f746bcacadcfd2cb92998a292274913aef6b

Observation f2a4ff87-e20f-4fef-9a62-39b52d2fa55b · outbound

This paper cites Promptcap: Prompt-guided image captioning for vqa with gpt-3.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Promptcap: Prompt-guided image captioning for vqa with gpt-3

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.395062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.545148Z digest=sha256:65511e1d95ae76a4d45df1ee31f5b96fd66d0d5360294c0687d00c71f05680c8

Observation 1d9ffd17-d1f8-466e-a400-a0e1bb07ade2 · outbound

This paper cites Clip2point: Transfer clip to point cloud classification with image-depth pre- training.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Clip2point: Transfer clip to point cloud classification with image-depth pre- training

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.384623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.549078Z digest=sha256:0cc41d312a103c68d78f0473324ecd439f0dc3f73e0d4c46fc07caa250722418

Observation c5baa0f6-ddb7-46d4-b635-9bf2b0b22d31 · outbound

This paper cites Visual prompt tuning.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Visual prompt tuning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.372431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.552724Z digest=sha256:1ef69ebf955cf8fa1034c2d56b0b79451f59612781e380bd10027d8a8a773a23

Observation 65d06018-9888-4087-87a6-b44a74f4ad9c · outbound

This paper cites Skeleton extraction from point clouds of trees with complex branches via graph contraction.The Visual Computer, 37:2235–2251, 2021.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Skeleton extraction from point clouds of trees with complex branches via graph contraction.The Visual Computer, 37:2235–2251, 2021

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.556163Z digest=sha256:4472627ee1ca01e05fe81c74db3577b5f6d06b0cf4788466c4ba6a720a057219

Observation 1dd2cc78-3d7d-4355-a1c1-3403942cac96 · outbound

This paper cites Webly supervised concept expan- sion for general purpose vision models.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Webly supervised concept expan- sion for general purpose vision models

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.345447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.559971Z digest=sha256:00ad1d1115fb3862d32142962181c41bd5987276e93191a3d173912f978e0418

Observation ed2592ad-f345-45e9-9533-905122eba8df · outbound

This paper cites Vilt: Vision-and-language transformer without convolution or region supervision.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Vilt: Vision-and-language transformer without convolution or region supervision

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.331906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.563858Z digest=sha256:d04362e0d4c1442b9c93dbdb5337305c32eebf7d37cbc9b434fd911c2e91c04d

Observation 2e5a46ec-de3f-44d7-982b-3cbed7a7e9f3 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.319573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.567393Z digest=sha256:680aa3f780829792bd51d82d27cb1ec7fb9318c7e188dd45484ad6660820c040

Observation 0f0d3995-cd52-4e6a-b56e-089b350eabd4 · outbound

This paper cites Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning.CEA, 2022.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning.CEA, 2022

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.306655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.570561Z digest=sha256:f1745bf11a74f2594a45c953e18a04b8d9d3d52f5b8b3ba3012fc5645a0960b2

Observation 3cdfae80-a462-4404-96bd-76b649094910 · outbound

This paper cites Chad Bolding, J.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Chad Bolding, J

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.294170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.573317Z digest=sha256:c512e9ab7133d741f26a5a540559f11d34b0212fdd23e8108618ba41b4b90e38

Observation bc1a5241-692f-4bdd-99c6-46154dfc0182 · outbound

This paper cites 3d plant root skeleton detection and extraction.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis 3d plant root skeleton detection and extraction

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.281930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.576163Z digest=sha256:35fedb0531325405657b93397e98fdf5de3cb42b126886bc9a091bf58e01cbe6

Observation dd9fe358-815a-4e0d-bea0-fcfbd76fb9cf · outbound

This paper cites Keypoint detection and description for raw bayer images.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Keypoint detection and description for raw bayer images

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.270104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.578946Z digest=sha256:562885b27e664b3f2b05b2623e66c694ac202accd89ded974d9c34e51ff8c644

Observation 4b0b4eba-4646-476e-92a8-2cf2ef898395 · outbound

This paper cites Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge-based vqa.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge-based vqa

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.257520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.581824Z digest=sha256:7e908bea19531016eac5864e76f08588f297c4c5d72b09dcd4d6286ad76015fd

Observation 4410c2a3-1780-45aa-a9df-09d1e6aa492e · outbound

This paper cites ClipCap: CLIP Prefix for Image Captioning.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis ClipCap: CLIP Prefix for Image Captioning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T00:56:16.585209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.585209Z digest=sha256:cbe2cf485a65aa34677a2720d37fe33472daf30b7f1b905c53ad448fb3482908

Observation 17bad24d-2645-4e11-aca1-6972f1ce5d2c · outbound

This paper cites Communication between plant roots and the soil microbiome; involve- ment in plant growth and development.Symbiosis, 90(3), 2023.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Communication between plant roots and the soil microbiome; involve- ment in plant growth and development.Symbiosis, 90(3), 2023

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.245994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.589538Z digest=sha256:e0de472073f69e019b242a35c19b7624f87f2a79151af40380d785390e633d69

Observation c40d605b-6374-4a68-9978-36f3bdea9001 · outbound

This paper cites Root traits and phenotyping strategies for plant improvement.Plants, 4(2):334–355, 2015.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Root traits and phenotyping strategies for plant improvement.Plants, 4(2):334–355, 2015

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.234083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.592839Z digest=sha256:786f20035e673eab038f7bcd189d329a6a24f0771274a472fbeae980dae6c112

Observation ffc7572d-3b2b-4484-b29c-73ce70571f7f · outbound

This paper cites Iterative image segmentation of plant roots for high-throughput phenotyping.Scientific Reports, 12(1):16563, 2022.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Iterative image segmentation of plant roots for high-throughput phenotyping.Scientific Reports, 12(1):16563, 2022

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.223879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.596327Z digest=sha256:9dc7f2fcc456e71efeebf0c60de20ebc14e8733b262496abda95e08cf2d05fd9

Observation abb16c48-5ac3-487f-be8e-ea545a19d075 · outbound

This paper cites Prompting large language models with answer heuristics for knowledge-based visual question answering.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Prompting large language models with answer heuristics for knowledge-based visual question answering

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.212779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.599632Z digest=sha256:991ffa1398da118ad6c3e570b61d4ef6108fd8420f3c57a7c9f4ddbf65a0ca98

Observation 808ed0c4-435b-46a9-a0b0-dbec6a5eae76 · outbound

This paper cites How Much Can CLIP Benefit Vision-and-Language Tasks?.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis How Much Can CLIP Benefit Vision-and-Language Tasks?

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T00:56:16.603472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.603472Z digest=sha256:73b140e83c78ac7b30abc69ecaa4f385022d7a08391c31b9cd53952855c1f57d

Observation 4fa07920-b66b-44e1-bbeb-4c67266f488b · outbound

This paper cites Deepskeleton: Learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images.IEEE Transactions on Image Processing, 26(11):5298–5311, 2017.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Deepskeleton: Learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images.IEEE Transactions on Image Processing, 26(11):5298–5311, 2017

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.201619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.608110Z digest=sha256:f524939b75965f84439a0dc5535aa8140c013314cdfb59d078c8d7fec8fd2d88

Observation ef22a16f-dc2f-4f47-8f48-1ef8407c5e5f · outbound

This paper cites Alpha-clip: A clip model focusing on wherever you want.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Alpha-clip: A clip model focusing on wherever you want

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.190095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.612026Z digest=sha256:435ba5143ae7b7e31f15a4ef10875f913355d33061f816659d69ad912284b0de

Observation 990a5aac-30b0-4a58-b45a-5bc86c803de2 · outbound

This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T00:56:16.616439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.616439Z digest=sha256:8859a85f417e4700a22d498947b14c749940d8e209376d65ed64c3499ae9905e

Observation 635488f6-9f2d-448f-920b-e4d2d564b747 · outbound

This paper cites Curvature-adaptive consistency flow matching: Autonomous trajectory optimization via reinforcement learning, 2026.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Curvature-adaptive consistency flow matching: Autonomous trajectory optimization via reinforcement learning, 2026

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.177493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.620819Z digest=sha256:a14420c552d5f5580441a369084accb3e21af3d3339836f2befbbbdef8417008

Observation 943da1ca-4da3-4a74-908f-8f9089258977 · outbound

This paper cites Multimodal few-shot learning with frozen language models.NeurIPS, 2021.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Multimodal few-shot learning with frozen language models.NeurIPS, 2021

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.165252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.624589Z digest=sha256:4db02085b3ae6c9310eb41e5b49bbe65a3187d07d47a245d289ed4294b24dd75

Observation a7f6bb39-b3e8-4ccc-a4ce-2dcbadb3ad71 · outbound

This paper cites Vqa-gnn: Reasoning with multimodal knowledge via graph neural networks for visual question answering.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Vqa-gnn: Reasoning with multimodal knowledge via graph neural networks for visual question answering

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.151577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.629001Z digest=sha256:f60392de974b1500cb8d35e3c3ac8016eb06f8050f1d935611a19cc96842090b

Observation ff665bc1-06c6-4066-812d-63f4c6d45fd0 · outbound

This paper cites Learnable skeleton- aware 3d point cloud sampling.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Learnable skeleton- aware 3d point cloud sampling

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.138117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.632685Z digest=sha256:9f96608650e628046c1080c7a1d08ae2dfceac650106882c60f8c91a3064c0ff

Observation 51e32609-b744-40d9-8b3e-ebab013f67ae · outbound

This paper cites Point transformer v3: Simpler faster stronger.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Point transformer v3: Simpler faster stronger

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.124953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.636444Z digest=sha256:00f077a2d8111ae0cd32cc5d7f2e5781f00f6c730e4b922faf1881dc8007c382

Observation 45812786-a3ca-44dc-9aba-df8214e5a092 · outbound

This paper cites DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T00:56:16.639971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.639971Z digest=sha256:796e3b786a8ce2834cbb8fb29a3faafd73df9e2747bbff828cee2499ce275073

Observation a087a0d5-87d4-4fe5-869a-5b42dfd065cb · outbound

This paper cites Interpretable traffic responsibility from dashcam video via legal multi-agent reasoning.arXiv preprint arXiv:2603.17930, 2026.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Interpretable traffic responsibility from dashcam video via legal multi-agent reasoning.arXiv preprint arXiv:2603.17930, 2026

Reference 43

Resolution
verified exact
raw_fallback, observed 2026-08-08T00:56:16.877003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.644054Z digest=sha256:67fe2ffc9a404d5e56df0cc5c0b69efe751315b233d7fb55f1973eb3c3f2c565

Observation f82633ae-89b2-4e60-935a-a0ea8493434b · outbound

This paper cites Phenotyping root system architecture, anatomy, and physiology to understand soil foraging.High-Throughput Crop Phenotyping, pages 209–221, 2021.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Phenotyping root system architecture, anatomy, and physiology to understand soil foraging.High-Throughput Crop Phenotyping, pages 209–221, 2021

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.113205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.647663Z digest=sha256:9a545c73466e00cac1fa714feb3af3bb8f7569cd837190c44d3b135e342996c9

Observation c0ab6b49-9955-4124-8998-95d35b08b9fa · outbound

This paper cites Long-clip: Unlocking the long-text capability of clip.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Long-clip: Unlocking the long-text capability of clip

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.099160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.651676Z digest=sha256:b22f036e2de6b82da12f1827d2578c10c8edd95d10a13d0579b7c2c638b91cc4

Observation bb8ce138-fcea-406f-ac9a-871142e8fed3 · outbound

This paper cites Adaptive event stream slicing for open-vocabulary event-based object de- tection via vision-language knowledge distillation.arXiv preprint arXiv:2510.00681, 2025.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Adaptive event stream slicing for open-vocabulary event-based object de- tection via vision-language knowledge distillation.arXiv preprint arXiv:2510.00681, 2025

Reference 46

Resolution
verified exact
raw_fallback, observed 2026-08-08T00:56:16.811152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.655421Z digest=sha256:2d238fdf305d4d00d38f788616bbc91415c46036a7f1e496ed944fd4e3e3d337

Observation 4d18f333-fcd7-4ae8-a695-dc86aa5170a6 · outbound

This paper cites Underground mapping and localiza- tion based on ground-penetrating radar.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Underground mapping and localiza- tion based on ground-penetrating radar

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.086792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.658879Z digest=sha256:cd23cc505f9af1f7a4848841bdce08d0a9f2bc5beafe023503a72c0378b72d03

Observation d56ee440-daac-4637-bc66-7da40b3cef8a · outbound

This paper cites Vision-language embodiment for monocular depth estimation.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Vision-language embodiment for monocular depth estimation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.075019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.662255Z digest=sha256:cac70fc2eeedc7573da8a58bcbd6852efda9f35fe1ba8d1b008c0ef1a6628217

Observation db287c50-372f-43f8-86f6-9c6d7e575a08 · outbound

This paper cites Pointclip: Point cloud understanding by clip.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Pointclip: Point cloud understanding by clip

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T00:56:16.665711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:56:16.665711Z digest=sha256:499d305d869465d53ddb6bcc1d3df157498c62f67b4b70f905e5c5ab1f5e2911

Observation 105a2543-7c01-4be1-b73b-e9ed34d7d6e9 · outbound

This paper cites Unified vision-language pre-training for image captioning and vqa.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Unified vision-language pre-training for image captioning and vqa

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.055219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.669809Z digest=sha256:385bae8c4ff833123e6dd37a3ebab09011d1f73dbbd0534b54c0a8c52298436e

Observation c94f8a9a-9d67-4f43-b72b-96d941319299 · outbound

This paper cites Underground plant exploration: Non- destructive 3d root assessment with gpr based on point graph neural network.

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis Underground plant exploration: Non- destructive 3d root assessment with gpr based on point graph neural network

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:56:17.042061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:56:16.673197Z digest=sha256:0e20dd66015bf26048ee157e5b39206e84aea327eeed78b69457932569c47693

Pith citing papers

No inbound Pith citation observations are available.