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Paper Citation Record · LEDGER

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping

As of 7 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2607.23680.

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

pith.paper-citation-record.v1
2607.23680 v1

Coverage vector

measured 62 of 62 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-30T16:08:49.344738Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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Outbound references

Observation 6f222252-7c53-4346-8719-8d4d04cf8119 · outbound

This paper cites and Parashar, M.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Parashar, M

Reference 1

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source=arxiv_source observed=2026-07-30T16:08:46.584744Z digest=sha256:666b679e3b079577782e54075b0ab0583a9eacf390c9b955b51a9698e34e74f7

Observation 02c3c17e-8e27-4ac2-9827-9158a19c1293 · outbound

This paper cites Frontiers in Plant Science , year =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Frontiers in Plant Science , year =

Reference 2

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Observation ee8a8748-bc2d-43d9-b03e-de2896eca8d6 · outbound

This paper cites Applied Sciences , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Applied Sciences , volume =

Reference 3

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source=arxiv_source observed=2026-07-30T16:08:46.674821Z digest=sha256:3c05080c4a4ddf41b574098826a6efdd271c40979bcc06645029a82d3941d9bc

Observation 8bf83ee7-9c75-475d-b393-56ecb304578f · outbound

This paper cites and Mesquita, Ricardo and Simões, Maria P.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Mesquita, Ricardo and Simões, Maria P

Reference 4

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Observation 07f65c5c-ac4e-4c90-8ca4-6d365237d98d · outbound

This paper cites Electronics , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Electronics , volume =

Reference 5

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Observation 17df1bd1-a277-4302-9cb1-1795e12ee375 · outbound

This paper cites Knowledge-Based Systems , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Knowledge-Based Systems , volume =

Reference 6

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Observation 16a6874d-0677-4c67-88e1-3ea9cac90eee · outbound

This paper cites Plant Phenomics , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Plant Phenomics , volume =

Reference 7

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Observation 079fee2b-6713-4fa5-8a1f-f14ab138b319 · outbound

This paper cites , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping , title =

Reference 8

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Observation 85112727-aa5b-49aa-a266-af6f836cbb33 · outbound

This paper cites ACM Computing Surveys , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping ACM Computing Surveys , volume =

Reference 9

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Observation 5fde7c9e-d1c8-4f78-8078-9e0554555446 · outbound

This paper cites Journal of King Saud University - Computer and Information Sciences , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Journal of King Saud University - Computer and Information Sciences , volume =

Reference 10

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Observation 1a021c4f-7ca1-47e7-9937-fc3f8e591290 · outbound

This paper cites Anna Devi , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Anna Devi , title =

Reference 11

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Observation d36543e7-ad42-42f2-837f-e195bcb0e004 · outbound

This paper cites Green Technologies and Sustainability , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Green Technologies and Sustainability , volume =

Reference 12

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Observation a57619ec-d1ce-4295-8164-c731729ddde3 · outbound

This paper cites Information Fusion , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Information Fusion , volume =

Reference 13

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Observation 70f89569-164a-4d2d-8a8a-a54956f07e76 · outbound

This paper cites P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation

Reference 14

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Observation fa47f4c6-de22-4042-98a2-6f98129616ab · outbound

This paper cites and Le, Trung-Nghia and Do, Thanh-Toan and Do, Minh N.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Le, Trung-Nghia and Do, Thanh-Toan and Do, Minh N

Reference 15

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Observation c92d4934-0c38-4fe2-a2cc-d22281f26c31 · outbound

This paper cites Agronomy , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Agronomy , volume =

Reference 16

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Observation 07725447-f652-4207-aadf-f5785fa60a3a · outbound

This paper cites Plant Methods , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Plant Methods , volume =

Reference 17

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Observation 6b4b7702-30b9-46bb-a600-c95e627e71ed · outbound

This paper cites Computers and Electronics in Agriculture , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Computers and Electronics in Agriculture , volume =

Reference 18

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Observation 3efbb4ff-616c-44fd-8b61-1099eab380aa · outbound

This paper cites Remote Sensing of Environment , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Remote Sensing of Environment , volume =

Reference 19

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Observation 309dced2-62f3-4370-b4f4-03bb86a53576 · outbound

This paper cites Plant Phenomics , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Plant Phenomics , volume =

Reference 20

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Observation dad38314-94dd-4ce9-b3a1-a6b2e6cc608f · outbound

This paper cites and Zeevi, Tal and Payabvash, Seyedmehdi , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Zeevi, Tal and Payabvash, Seyedmehdi , title =

Reference 21

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Observation f1ee774e-e0c1-4afb-9001-1f401ccdf0e3 · outbound

This paper cites Plant Phenomics , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Plant Phenomics , volume =

Reference 22

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Observation ed99ad40-56f7-443a-8317-e6e1c0b7cd41 · outbound

This paper cites Smart Agricultural Technology , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Smart Agricultural Technology , volume =

Reference 23

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Observation b498945d-65e9-4276-a066-a25141c3de94 · outbound

This paper cites and Melloy, Paul and Huang, Zi , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Melloy, Paul and Huang, Zi , title =

Reference 24

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Observation 93659be8-2500-4924-8330-fce882f03f5d · outbound

This paper cites Journal of Rock Mechanics and Geotechnical Engineering , year =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Journal of Rock Mechanics and Geotechnical Engineering , year =

Reference 25

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Observation ef3cd519-cc0f-407c-8d1f-42d6fca45f97 · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Label-Efficient Semantic Segmentation with Diffusion Models

Reference 26

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Observation 17a7eb0c-cb6d-43c2-ba22-590bf1f6d6c7 · outbound

This paper cites Conference on Empirical Methods in Natural Language Processing , year =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Conference on Empirical Methods in Natural Language Processing , year =

Reference 27

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Observation 4ffb391e-386d-4e38-b5c8-2763fdf0eded · outbound

This paper cites Knowledge-Based Systems , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Knowledge-Based Systems , volume =

Reference 28

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This paper cites Artificial Intelligence Review , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Artificial Intelligence Review , volume =

Reference 29

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Observation ca654ebd-9f88-4661-b823-d705d434b1f2 · outbound

This paper cites Sensors , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Sensors , volume =

Reference 30

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This paper cites A Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture Tasks , booktitle =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping A Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture Tasks , booktitle =

Reference 31

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Observation 87c4c468-a0a6-406b-bf6d-4bf2c09cd37c · outbound

This paper cites Computer Vision -- ECCV 2018 , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Computer Vision -- ECCV 2018 , volume =

Reference 32

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This paper cites and Luo, Ping , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Luo, Ping , title =

Reference 33

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This paper cites Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 , pages =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 , pages =

Reference 34

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Observation 89d797a8-c49f-4392-add9-a9cf343510b4 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Advances in Neural Information Processing Systems , volume =

Reference 35

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Observation a9865e0f-a0f3-4a91-bade-7ac553734f2b · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models , booktitle =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping High-Resolution Image Synthesis with Latent Diffusion Models , booktitle =

Reference 36

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Observation bc8d8e3e-6e99-4bf9-9e18-ae54e5e2cbcd · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages =

Reference 37

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source=arxiv_source observed=2026-07-30T16:08:48.287307Z digest=sha256:822faa93cfdba70442572c0423581a2be78dbce2e6e16d9a4ee4c3e1ffd1abcc

Observation 6d85ba67-c7a9-4c28-9652-87076f802053 · outbound

This paper cites Trends in Plant Science , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Trends in Plant Science , volume =

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source=arxiv_source observed=2026-07-30T16:08:48.304743Z digest=sha256:4de695f8f5e36a8f87e907becd8a59c1e5d921a65e155595149bb06846ef9074

Observation 189b0fd1-6378-4e0f-96e5-58eb5f68a24a · outbound

This paper cites and Cui, X.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Cui, X

Reference 39

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source=arxiv_source observed=2026-07-30T16:08:48.334735Z digest=sha256:8c25492445248c55a0aa275264d75eac410e8c16962485682e87e30d569c76d2

Observation b25611f0-bb64-4c64-b66f-d077513ba5c2 · outbound

This paper cites Papadopoulos and Hoi Yeung , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Papadopoulos and Hoi Yeung , title =

Reference 40

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source=arxiv_source observed=2026-07-30T16:08:48.394738Z digest=sha256:397f03c6a808a5e7df8a819490c130fabfceec0f90219546d34bfd45f415e08f

Observation 06bd5df8-0873-46c3-b2cb-313e15bf4d47 · outbound

This paper cites and Persaud, D.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Persaud, D

Reference 41

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source=arxiv_source observed=2026-07-30T16:08:48.444845Z digest=sha256:3341a532f5a84a169163d7640e0f823d5c1db9ec448963248ebe33b19739325b

Observation 6000c95b-f87d-4091-96cf-0aa7fc12de09 · outbound

This paper cites Anisur Rahman and Swakkhar Shatabda and Md.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Anisur Rahman and Swakkhar Shatabda and Md

Reference 42

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source=arxiv_source observed=2026-07-30T16:08:48.494748Z digest=sha256:1a9996df6126f84d4152a7cd6e0aeda3f361aa3b6a363e8c9ce294c068a7fd31

Observation ae093f05-9260-48b4-98e3-579dee574b17 · outbound

This paper cites and Harder, B.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Harder, B

Reference 43

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source=arxiv_source observed=2026-07-30T16:08:48.544738Z digest=sha256:967c902c74162413efa1ce2f85c21162f65976a913082747c3499c766dc8848f

Observation cc48dc99-4a7c-448a-baae-a8deed65f9de · outbound

This paper cites Knowledge-Based Systems , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Knowledge-Based Systems , volume =

Reference 44

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source=arxiv_source observed=2026-07-30T16:08:48.594738Z digest=sha256:6ec48ff39881a97985229cea9bd8964c009c5a77f83981c36636db3248382656

Observation 0748eb5c-ccf4-4a81-b4e6-a243c25fffaf · outbound

This paper cites and Ullah, K.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Ullah, K

Reference 45

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source=arxiv_source observed=2026-07-30T16:08:48.644740Z digest=sha256:62241d70c0d3f025df48be9233db16a1240259f1668501d0688f1dd71f0f364f

Observation f74c2052-2255-49d8-882f-f75af379c5bf · outbound

This paper cites 2024 , doi =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping 2024 , doi =

Reference 46

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source=arxiv_source observed=2026-07-30T16:08:48.694751Z digest=sha256:86cb425cc82a0314ef96683ce459c2e175ae5ff50a1de2558907a210ffcadb38

Observation bccf9eb9-3d78-4c8d-98be-33427d314522 · outbound

This paper cites Proceedings of the 22nd ACM International Conference on Information & Knowledge Management , pages =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Proceedings of the 22nd ACM International Conference on Information & Knowledge Management , pages =

Reference 47

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source=arxiv_source observed=2026-07-30T16:08:48.754740Z digest=sha256:e3f87846f9966529cce12680579c46d326c654a001bfb438832a509decc844b1

Observation 131d6f8b-df23-42f6-9e58-7739bb5e2f06 · outbound

This paper cites Ferreira , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Ferreira , title =

Reference 48

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source=arxiv_source observed=2026-07-30T16:08:48.804739Z digest=sha256:7589b3266aa99b56311d78ae3e2f9b4aeb8eb5b787344ee0f284c5a1fd631770

Observation 26392014-544b-4f04-abd7-9b7cce63d761 · outbound

This paper cites Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges , journal =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges , journal =

Reference 49

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source=arxiv_source observed=2026-07-30T16:08:48.854739Z digest=sha256:af32ac9839f9ff4cddddb82d5832c6e588edff351b35bc9aae2158e4ab2a53c6

Observation e1f154d7-300c-4891-8b3c-bc57cf29ad6d · outbound

This paper cites IEEE Signal Processing Magazine , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping IEEE Signal Processing Magazine , volume =

Reference 50

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source=arxiv_source observed=2026-07-30T16:08:48.904739Z digest=sha256:67373c18f333fcc7bf51dad840a0ed29bc78c6c0fa811578973eb7be03d104da

Observation c652780e-1053-470d-b91f-6db8fa1577b3 · outbound

This paper cites Applied Sciences , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Applied Sciences , volume =

Reference 51

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source=arxiv_source observed=2026-07-30T16:08:48.954740Z digest=sha256:772fea11e0f953eef6ef8d3753a47c9dd0b1a03b2e651dc9fcacb3eae2f03333

Observation 0fd39787-6352-4b03-9f5e-bf1ff24aa43a · outbound

This paper cites Frontiers in Plant Science , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Frontiers in Plant Science , volume =

Reference 52

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source=arxiv_source observed=2026-07-30T16:08:49.004783Z digest=sha256:0e5066e82dad343b35ac5f6aedad970e9f6fb2c488b03a44f18fe22dd5d477ff

Observation 660b4fb9-8473-4192-a6a2-9e83106b9e47 · outbound

This paper cites Horticulturae , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Horticulturae , volume =

Reference 53

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source=arxiv_source observed=2026-07-30T16:08:49.045290Z digest=sha256:1ca4f486e0bd07865369b64ce5718fdf59f806409198e3393af7b147d7595074

Observation f575e9ba-0ad5-4171-9535-5fa5243dfba2 · outbound

This paper cites and Simegn, Gizeaddis Lamesgin , title =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Simegn, Gizeaddis Lamesgin , title =

Reference 54

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source=arxiv_source observed=2026-07-30T16:08:49.064740Z digest=sha256:05a25487889e1dd7597d5c72a8ade636fd3f2d85ff5215e85a749a8993106603

Observation bf0fe0a3-a2e5-4be9-8391-549322d69f06 · outbound

This paper cites Array , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Array , volume =

Reference 55

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source=arxiv_source observed=2026-07-30T16:08:49.104895Z digest=sha256:b5cf9870a0539a58ab545cea853bfaea655598460786c7f601f077c61d097341

Observation e4e72cd0-ece8-4322-a412-b117228a5743 · outbound

This paper cites 2021 14th International Conference on Human System Interaction (HSI) , pages =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping 2021 14th International Conference on Human System Interaction (HSI) , pages =

Reference 56

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source=arxiv_source observed=2026-07-30T16:08:49.144740Z digest=sha256:775e47e129ce2d2b98cdfff5a479335df8771c94ab70a115682bbedc8a691df7

Observation 2f2b2fc1-dea0-4518-9acf-279789d3ce15 · outbound

This paper cites Advances in Neural Networks – ISNN 2019: 16th International Symposium on Neural Networks , pages =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Advances in Neural Networks – ISNN 2019: 16th International Symposium on Neural Networks , pages =

Reference 57

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source=arxiv_source observed=2026-07-30T16:08:49.189383Z digest=sha256:7b26235ffab39013286c8f1de9ac5b42330fea0dacb7c44b1f84b4df733dd58a

Observation 9935aa26-1ea4-4cb7-b7c9-20e1779ee8e8 · outbound

This paper cites Computerized Medical Imaging and Graphics , volume =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Computerized Medical Imaging and Graphics , volume =

Reference 58

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source=arxiv_source observed=2026-07-30T16:08:49.244876Z digest=sha256:8d6d6e57cb0927a8b126aa4b1e9c9a143c7cac767aaf7db4f7e29ca5d13adaff

Observation 5b19909f-0892-419a-a72a-24faaa6fc217 · outbound

This paper cites and Cordova-Esparza, D.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Cordova-Esparza, D

Reference 59

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source=arxiv_source observed=2026-07-30T16:08:49.284876Z digest=sha256:0e6a91bcf757b85f0e6708c4b62c701698770d677a58944df81b73b9d8961f75

Observation 28aa37bb-79ce-4c1b-a1f8-48e0599a86c3 · outbound

This paper cites and Alaoui, S.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping and Alaoui, S

Reference 60

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source=arxiv_source observed=2026-07-30T16:08:49.314742Z digest=sha256:a0aa5cc18800eaef63d274fcfc98ecb1c40bc86d3a417f11b39c4aa62280d6be

Observation f234cab6-5571-4eb0-9c6d-bed510ab89f1 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , pages =.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , pages =

Reference 61

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source=arxiv_source observed=2026-07-30T16:08:49.332210Z digest=sha256:8e7379be9c32eaec09ad9438d04c79b44aecf839e008661db67fda41e2a90b9b

Observation bc572e4c-a951-4af3-bbe7-71ea61efaec7 · outbound

This paper cites 2026 , eprint=.

Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping 2026 , eprint=

Reference 62

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source=arxiv_source observed=2026-07-30T16:08:49.344738Z digest=sha256:a199253c06a30b62d9779fbf6cc70cb2caaca7027046005c0031be92d1d9f0f4

Pith citing papers

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