Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:47:43.589517Z
Paper Citation Record · LEDGER
AgroBench: Vision-Language Model Benchmark in Agriculture
As of 22 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 5 inbound Pith citation observations for arXiv:2507.20519.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T09:58:55.863209Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
56 of 56 outbound references displayed
- verified exact1
- verified fuzzy42
- unresolved13
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External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 41bab2b4-aa44-425c-b050-9ebec1f385ca · outbound
This paper cites Paddy doctor: A visual image dataset for automated paddy disease classification and benchmarking.
AgroBench: Vision-Language Model Benchmark in Agriculture Paddy doctor: A visual image dataset for automated paddy disease classification and benchmarking
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1978450e-a391-4bcf-aa05-5e92b35c8eee · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
AgroBench: Vision-Language Model Benchmark in Agriculture Flamingo: a visual language model for few-shot learning
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 80a5da7e-5246-479e-80e4-bc6b683a2c09 · outbound
This paper cites an unresolved cited work.
AgroBench: Vision-Language Model Benchmark in Agriculture Unresolved cited work
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 70733eb8-f64a-4599-8a62-4d86461dd245 · outbound
This paper cites AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning.
AgroBench: Vision-Language Model Benchmark in Agriculture AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38939375-6582-428f-9fcf-f2f2da06b729 · outbound
This paper cites Qwen Technical Report.
AgroBench: Vision-Language Model Benchmark in Agriculture Qwen Technical Report
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f516f31-b4d4-46a3-9041-7748f8aac1f3 · outbound
This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.
AgroBench: Vision-Language Model Benchmark in Agriculture Are We on the Right Way for Evaluating Large Vision-Language Models?
Reference 7
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e89c3eff-c88a-4a10-b778-ccd0d989affa · outbound
This paper cites Pali: A jointly-scaled multilingual language- image model.
AgroBench: Vision-Language Model Benchmark in Agriculture Pali: A jointly-scaled multilingual language- image model
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9dac781e-e769-4846-b2df-a10be07b6a5a · outbound
This paper cites an unresolved cited work.
AgroBench: Vision-Language Model Benchmark in Agriculture Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation f558b8a9-965b-4398-8b79-d8385f248bd2 · outbound
This paper cites tomato- village.
AgroBench: Vision-Language Model Benchmark in Agriculture tomato- village
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9d31ba8b-9e6f-4af4-8099-b2ee74adf9b4 · outbound
This paper cites Perrenial plants detection, 2021.
AgroBench: Vision-Language Model Benchmark in Agriculture Perrenial plants detection, 2021
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4416bd07-8977-4ef6-8437-81f611fb4c55 · outbound
This paper cites A crop/weed field im- age dataset for the evaluation of computer vision based pre- cision agriculture tasks.
AgroBench: Vision-Language Model Benchmark in Agriculture A crop/weed field im- age dataset for the evaluation of computer vision based pre- cision agriculture tasks
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 706f99bb-ab19-4b32-9f87-08ecc48d771f · outbound
This paper cites Image Classification for CSSVD Detection in Cacao Plants.
AgroBench: Vision-Language Model Benchmark in Agriculture Image Classification for CSSVD Detection in Cacao Plants
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 2ed19249-9fde-4e9d-b59c-acfe47289569 · outbound
This paper cites BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation.
AgroBench: Vision-Language Model Benchmark in Agriculture BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1b0cd57d-82c0-4379-8c73-bab907aa2f5b · outbound
This paper cites BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
AgroBench: Vision-Language Model Benchmark in Agriculture BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5db01a4b-2576-4328-814d-95bae100531d · outbound
This paper cites Mvbench: A comprehensive multi- modal video understanding benchmark.
AgroBench: Vision-Language Model Benchmark in Agriculture Mvbench: A comprehensive multi- modal video understanding benchmark
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation ff91eb19-b777-4d21-98e0-5dcfd5253580 · outbound
This paper cites Improved Baselines with Visual Instruction Tuning.
AgroBench: Vision-Language Model Benchmark in Agriculture Improved Baselines with Visual Instruction Tuning
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8bf11ea-88a5-4b15-b60c-bd9d2475fffd · outbound
This paper cites Visual instruction tuning.
AgroBench: Vision-Language Model Benchmark in Agriculture Visual instruction tuning
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f86f5380-1326-4c56-abb9-e3f9802b732c · outbound
This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.
AgroBench: Vision-Language Model Benchmark in Agriculture Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024
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 2026-08-22T06:32:14.747728+00:00.
Observation 3fdc80fe-6755-4ba1-b274-c44a1b11faed · outbound
This paper cites A multimodal bench- mark dataset and model for crop disease diagnosis.
AgroBench: Vision-Language Model Benchmark in Agriculture A multimodal bench- mark dataset and model for crop disease diagnosis
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation f2900ca1-ab07-4c5e-96c2-06cb29557268 · outbound
This paper cites Masks-to-skeleton: Multi-view mask-based 9 tree skeleton extraction with 3d gaussian splatting.
AgroBench: Vision-Language Model Benchmark in Agriculture Masks-to-skeleton: Multi-view mask-based 9 tree skeleton extraction with 3d gaussian splatting
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation ca4c12d4-f36d-4472-874c-3f0ea7cb12ac · outbound
This paper cites Canopy-attention-yolov4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation.
AgroBench: Vision-Language Model Benchmark in Agriculture Canopy-attention-yolov4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 30472630-8590-478e-a5c7-49678814524c · outbound
This paper cites Cottonweeddet3.
AgroBench: Vision-Language Model Benchmark in Agriculture Cottonweeddet3
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation db513614-f004-41f7-804a-c91efa28c69a · outbound
This paper cites Open Plant Phenotype Database of Common Weeds in Denmark, 2020.
AgroBench: Vision-Language Model Benchmark in Agriculture Open Plant Phenotype Database of Common Weeds in Denmark, 2020
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8faeef18-c702-42e7-a0dd-38975de14b43 · outbound
This paper cites A novel dataset of guava fruit for grading and classification.
AgroBench: Vision-Language Model Benchmark in Agriculture A novel dataset of guava fruit for grading and classification
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation b1b15f05-1f08-47d7-a97a-5b8d1cb49bf9 · outbound
This paper cites ChartQA: A benchmark for question answer- ing about charts with visual and logical reasoning.
AgroBench: Vision-Language Model Benchmark in Agriculture ChartQA: A benchmark for question answer- ing about charts with visual and logical reasoning
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3bfa9539-22ec-4da8-8f8d-dea019ea5579 · outbound
This paper cites Nakayama, Jose M.
AgroBench: Vision-Language Model Benchmark in Agriculture Nakayama, Jose M
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6f779248-6a35-4257-8b1e-73f41297076d · outbound
This paper cites Khapra, and Pratyush Kumar.
AgroBench: Vision-Language Model Benchmark in Agriculture Khapra, and Pratyush Kumar
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ee9f5af7-9c91-4b1d-b4b4-158b7045d219 · outbound
This paper cites Mohanty, David P.
AgroBench: Vision-Language Model Benchmark in Agriculture Mohanty, David P
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation bc214d27-41d4-46ae-b7a9-8801a3a06083 · outbound
This paper cites Video-bench: A com- prehensive benchmark and toolkit for evaluating video-based large language models, 2023.
AgroBench: Vision-Language Model Benchmark in Agriculture Video-bench: A com- prehensive benchmark and toolkit for evaluating video-based large language models, 2023
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation ac719e43-198d-4cf4-b1dd-f3718a02fe3a · outbound
This paper cites Deepweeds: A multiclass weed species image dataset for deep learning.
AgroBench: Vision-Language Model Benchmark in Agriculture Deepweeds: A multiclass weed species image dataset for deep learning
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 125a6dd0-d886-47b1-885e-477c57081c19 · outbound
This paper cites Gpt-4o, 2024.
AgroBench: Vision-Language Model Benchmark in Agriculture Gpt-4o, 2024
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation 2ec4574b-a63a-4f57-96f8-fa7c37c3dc2b · outbound
This paper cites Gpt-4o mini, 2024.
AgroBench: Vision-Language Model Benchmark in Agriculture Gpt-4o mini, 2024
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 77995948-ce5e-4215-bfc8-f33f650cd02e · outbound
This paper cites In- dian rice disease dataset (irdd), 2023.
AgroBench: Vision-Language Model Benchmark in Agriculture In- dian rice disease dataset (irdd), 2023
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation e0f8569d-7d35-42e8-9101-7fb8069e9354 · outbound
This paper cites Learning transferable visual models from natural language supervision.
AgroBench: Vision-Language Model Benchmark in Agriculture Learning transferable visual models from natural language supervision
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation f6720e29-3a9c-486e-b30f-ebbe3b35ad7a · outbound
This paper cites Multimedeval: A benchmark and a toolkit for evaluating medical vision-language models, 2024.
AgroBench: Vision-Language Model Benchmark in Agriculture Multimedeval: A benchmark and a toolkit for evaluating medical vision-language models, 2024
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation da1f17af-bca0-4b77-98cc-ecfde0294fef · outbound
This paper cites Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications.
AgroBench: Vision-Language Model Benchmark in Agriculture Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation 12a826bd-5204-4180-b680-f39ef92e2b39 · outbound
This paper cites A novel dataset of potato leaf disease in uncon- trolled environment.
AgroBench: Vision-Language Model Benchmark in Agriculture A novel dataset of potato leaf disease in uncon- trolled environment
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation 282e83f1-07f0-4e41-b3c0-830ea6c29a14 · outbound
This paper cites Transformer-based ripeness segmentation for tomatoes.
AgroBench: Vision-Language Model Benchmark in Agriculture Transformer-based ripeness segmentation for tomatoes
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation 8dad8832-6f2b-43bd-a3e5-3c4fc70f3b1e · outbound
This paper cites Sbs figures: Pre-training figure qa from stage-by-stage synthesized images, 2024.
AgroBench: Vision-Language Model Benchmark in Agriculture Sbs figures: Pre-training figure qa from stage-by-stage synthesized images, 2024
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 55f2bad3-09c9-4fd0-a382-86bb7f9a30dd · outbound
This paper cites Plantdoc: A dataset for visual plant disease detection.
AgroBench: Vision-Language Model Benchmark in Agriculture Plantdoc: A dataset for visual plant disease detection
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation cd438104-4213-45cd-a9ae-6c52e3b588cc · outbound
This paper cites The cropandweed dataset: A multi-modal learning approach for efficient crop and weed manipulation.
AgroBench: Vision-Language Model Benchmark in Agriculture The cropandweed dataset: A multi-modal learning approach for efficient crop and weed manipulation
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation c09627f6-767f-40ab-8c21-040523866afb · outbound
This paper cites Timbervision: A multi-task dataset and frame- work for log-component segmentation and tracking in au- tonomous forestry operations.
AgroBench: Vision-Language Model Benchmark in Agriculture Timbervision: A multi-task dataset and frame- work for log-component segmentation and tracking in au- tonomous forestry operations
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation 82201e94-8e75-4847-94fa-692ce4aedb6d · outbound
This paper cites Generative Multimodal Models are In-Context Learners.
AgroBench: Vision-Language Model Benchmark in Agriculture Generative Multimodal Models are In-Context Learners
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation e32c5383-778c-46eb-9225-c5802dd5cf32 · outbound
This paper cites Emu: Generative Pretraining in Multimodality.
AgroBench: Vision-Language Model Benchmark in Agriculture Emu: Generative Pretraining in Multimodality
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation d7f9c06b-6653-4b50-8cf5-0ab943cef199 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context, 2024.
AgroBench: Vision-Language Model Benchmark in Agriculture Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context, 2024
Reference 46
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d1a69da3-e6b6-45c7-ac11-26125c51b017 · outbound
This paper cites Sugarcane leaf dataset: A dataset for disease de- tection and classification for machine learning applications.
AgroBench: Vision-Language Model Benchmark in Agriculture Sugarcane leaf dataset: A dataset for disease de- tection and classification for machine learning applications
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e7c1856f-10df-4a73-9e21-6e73e7c59e07 · outbound
This paper cites Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases.
AgroBench: Vision-Language Model Benchmark in Agriculture Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fcd5f91-be96-405d-ab4c-1fa9e1adeff4 · outbound
This paper cites Agripest: A large-scale domain-specific bench- mark dataset for practical agricultural pest detection in the wild.
AgroBench: Vision-Language Model Benchmark in Agriculture Agripest: A large-scale domain-specific bench- mark dataset for practical agricultural pest detection in the wild
Reference 49
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4d1051a7-732d-46d3-ab20-dcf310ea89e0 · outbound
This paper cites Cogvlm: Visual expert for pretrained language models.
AgroBench: Vision-Language Model Benchmark in Agriculture Cogvlm: Visual expert for pretrained language models
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T17:47:43.912020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7800d373-9702-4db5-9772-5d08ba3068f1 · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
AgroBench: Vision-Language Model Benchmark in Agriculture Emu3: Next-Token Prediction is All You Need
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ab98ab6-8c30-4a4f-b898-4ada840727fa · outbound
This paper cites Benchmarking in-the-wild multimodal disease recognition and a versatile baseline.
AgroBench: Vision-Language Model Benchmark in Agriculture Benchmarking in-the-wild multimodal disease recognition and a versatile baseline
Reference 52
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d5a13252-9c64-4616-98a3-86a3967436c1 · outbound
This paper cites Ip102: A large-scale benchmark dataset for insect pest recognition.
AgroBench: Vision-Language Model Benchmark in Agriculture Ip102: A large-scale benchmark dataset for insect pest recognition
Reference 53
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b47d59f3-a2d9-44f6-8e11-56a7e6f1a287 · outbound
This paper cites Crop identification using deep learning on lucas crop cover photos.
AgroBench: Vision-Language Model Benchmark in Agriculture Crop identification using deep learning on lucas crop cover photos
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T17:47:43.855743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 07e03f4f-2e27-4a98-a70f-258a39ed3c1c · outbound
This paper cites Mmmu: A massive multi-discipline multimodal understand- ing and reasoning benchmark for expert agi.
AgroBench: Vision-Language Model Benchmark in Agriculture Mmmu: A massive multi-discipline multimodal understand- ing and reasoning benchmark for expert agi
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T17:47:43.835702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0c25f7d8-0b55-4aff-ab0e-474faa5d479c · outbound
This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.
AgroBench: Vision-Language Model Benchmark in Agriculture MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89ba6e0b-ce4d-4c57-9913-dc3effbf1397 · outbound
This paper cites Statistics This section provides detailed statistics of AgroBench.
AgroBench: Vision-Language Model Benchmark in Agriculture Statistics This section provides detailed statistics of AgroBench
Reference 2024
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
Observation a885f9ed-b378-4837-ac15-ca18ab3c9f17 · inbound
Are vision-language models ready to zero-shot replace supervised classification models in agriculture? cites this paper.
Are vision-language models ready to zero-shot replace supervised classification models in agriculture? AgroBench: Vision-Language Model Benchmark in Agriculture
Reference 14
- Resolution
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- arxiv_id, observed 2026-05-16T21:18:32.178552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 010f8661-8b9e-4f10-b90b-e3a95bfd52cd · inbound
Visual-Language-Guided Task Planning for Horticultural Robots cites this paper.
Visual-Language-Guided Task Planning for Horticultural Robots AgroBench: Vision-Language Model Benchmark in Agriculture
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e67ebefd-9392-4223-ac6e-4085d95f95e1 · inbound
CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis cites this paper.
CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis AgroBench: Vision-Language Model Benchmark in Agriculture
Reference 36
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6b6e755b-118e-4df1-a9de-ef4063fb360b · inbound
AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding cites this paper.
AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding AgroBench: Vision-Language Model Benchmark in Agriculture
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:56:10.630884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 292054c1-f989-48f3-a687-dd7ff76b437e · inbound
Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems cites this paper.
Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems AgroBench: Vision-Language Model Benchmark in Agriculture
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:47:22.860403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.