Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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

Typed states for the displayed outbound observations.

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 2026-08-17T06:30:58.91139+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

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.584744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.584744Z digest=sha256:dc6564c858b8c542536c49b7ec5e543f1041387bb9e0fde955bb5e09cb24c881

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.640935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.640935Z digest=sha256:469762c8ee1ef43baaf8d440763a359d541f36d57aebfb790281693c8c406fb1

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.674821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.674821Z digest=sha256:b8be9875cabd3dd207013411352a3555fd7c6426ff9e6650b0ee50dbb8e3be91

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.724750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.724750Z digest=sha256:28d453331a8790b01eecfeddf306a804b51f56e2e60405aff8106bd383abcf62

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.775389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.775389Z digest=sha256:9e9a9eef5099be08219bc8d58d7d978eda1a9d32c18558f81f368177de390d4c

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.844742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.844742Z digest=sha256:352bddc62be27ee92f229088db26cd84098ba25f5b5c56ea703fda3d97b40bec

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.894742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.894742Z digest=sha256:cadd891fc9b7c56eb75e2f7b0d4cf01d20b0f6d66e948f677115237a2a0d9481

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:46.964741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:46.964741Z digest=sha256:6d76377deacf3c1b3d2078c9c0335d8835a6ec6db446fb3db0a22b7b23d632ea

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.024739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.024739Z digest=sha256:ea29dcda1417c4e332704405e25faa0b82503d33ba9aa764eb93d12747b6cf2c

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.074744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.074744Z digest=sha256:e52836f40e7fbc9b730ab94f1e4c32ab7346149455023744d2c8caa140a8b51e

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.094745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.094745Z digest=sha256:b7dc8cdf9be78281dd8dde04c52a96e4eec68d06c12c6cf90a4b1eaba9b0ed58

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.144742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.144742Z digest=sha256:f11dbf65d1f0130138d9918816748a4551568bd49cb8b6276a782a9eb6e8fdd3

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.194740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.194740Z digest=sha256:9e83dcb95c63a5b578e29e37808ee7dbcb7d68d8db8baa9c13474a5b6052e772

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.244751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.244751Z digest=sha256:cddf31778af548f77b60b35de2336a89db522e03bd9326cab27e8efaab22bc86

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.294742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.294742Z digest=sha256:6157b189950997c4a1bf9934524bdefb1e386119753a1db538a79923c94609d0

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.344743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.344743Z digest=sha256:8ef93c24d2cc968934612a36b29c9f552004b823bffabe93310e23f30e599c4a

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.394747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.394747Z digest=sha256:663a1cb51a1b41a5480a2e76aa9f9678621e9db2aee4ac4b357405192e81c24e

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.426291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.426291Z digest=sha256:eae8b701f073c7ebea4acfc7f0425dc6be8503a6dc18f6dd636db1369b8c3810

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.474819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.474819Z digest=sha256:6e6aef772d71c09e18a13e9c791d03449605ebb61c034fbb3e8d91d38c565978

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.510692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.510692Z digest=sha256:03b328e3d88d9aadef9760acd11625fa4b0055fb6d80424b2cdc21db81ba30ff

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.544740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.544740Z digest=sha256:dea158a6d6366c8d2d7b6a01ea771f282d85a11e440170ee3ce448c73afe5278

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.594822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.594822Z digest=sha256:3c1e3673b6e46d2114a4eff2dee3322c76f1a478a700aef9568f51bf1f43c4cc

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.644741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.644741Z digest=sha256:9fb94b67762d773816ceee93f4dca5c597e96c2555b9fc484c0246d93e8610a0

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.686472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.686472Z digest=sha256:c0617f297dd9992c260bea479171d78b893261bdc030743485a83f60f46e13b6

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.734743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.734743Z digest=sha256:1a7f6dd1c405bd068bea75f3342fb4c0d9ed5d74924c4e39567d470335eb5828

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.774744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.774744Z digest=sha256:133568dee050710274e3e4a0cef96d848339dd3cc7379094c70edfd8a83c794d

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.817089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.817089Z digest=sha256:67195b7efb737320f41e840234d88fc0237571c05f0e82914d07fb3b33dccb9d

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.854814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.854814Z digest=sha256:29919d2314db6f57d492497e2ad91c60b1e0fe85cc0eb6551ecf87c17fc6e7cd

Observation 49f2f961-94c9-4907-8a03-62513cca39b3 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.904760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.904760Z digest=sha256:11167cd3927d915f9ad5e4add8b490a467f3b6ae1ebf1e4e549004e407157295

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.934740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.934740Z digest=sha256:88b7c157a1061c3a97fab457f6a518034a76212ee657308341a1d8afab5446d6

Observation 7861f1bc-7e2c-4a10-bd0a-7fe50de2caae · outbound

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:47.984742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:47.984742Z digest=sha256:002b8963c55b56824422b4d5375ee4f776e75a3d0f10a79a8a0f01151c42fe6f

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.024743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.024743Z digest=sha256:091036577230335a277c6b27b91e8f953bf4fa788e6f71195ddd867496898204

Observation a67667ae-abb1-4a1a-901c-7419f04d2f49 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.091171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.091171Z digest=sha256:dba72b2f3957f72f4dddd1250d49d913914e2aeb20238fba924e0695bd52906e

Observation dc316a6e-06eb-44ba-84bf-7feacee09840 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.144755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.144755Z digest=sha256:ed78de3ef6f3e3f0da8b668bf2b45a6bf53debdcccf6b0f7bce2ca6afcbf5554

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.184818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.184818Z digest=sha256:14e36eab98b66fab50d41d2cbf7006b741d0d8a4f40761c5702acb4cc76b5ff7

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.244919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.244919Z digest=sha256:d6f3e640a253e7cc2a147eedfd1b213211fe1c83111da7aa0a39affab4b14801

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.287307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.287307Z digest=sha256:d6a9b898289c73fb52762b85b622b243bd8e4406650f636bf959de5a4a231694

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 =

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.304743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.304743Z digest=sha256:bcf316d72f1f19923f33f9dfc6b417772ce12e0d6e7d366df4834bf1de721de3

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.334735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.334735Z digest=sha256:ce04c9a6ca14ddb883824c1891d3010b8d307325794f79b9fe8fe945aa7b8b7c

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.394738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.394738Z digest=sha256:eed4d8f4a48f17e3afe82eaa39a31882d8142c4b660cc9fe289de17a53381408

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.444845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.444845Z digest=sha256:d5a04ef747f9fb424d0ecc3c3c973c5ff6f92874b292bbc6e9a05114341dec11

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.494748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.494748Z digest=sha256:e0caf10538b9f9b66628fb4ce5cc7833ae8f801de1a38cca2912d1765474c8a9

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.544738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.544738Z digest=sha256:0bb7ab6a3bf0aec05c41da2e555f63770cac0be5f0d6c052c63abcdcedee68a7

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.594738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.594738Z digest=sha256:c73103adc3f1a9fa1ff610bb170f9d5ecc5a7a0ed08abbcfc4b46754b75e2c4c

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.644740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.644740Z digest=sha256:bb6013a83fbb9da20a3d3bc4dde332dfe0379682a56eee326f46a8427e37dfec

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.694751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.694751Z digest=sha256:3d39fcb114dbb385ec11141b900ff6bfb7c355672838bbb0437d21ea6df86cc5

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.754740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.754740Z digest=sha256:45e141b0321c7ae000171b3d87d9edaaed11ecd33f185efd638d6d5a19c12f08

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.804739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.804739Z digest=sha256:3bb9e994be4c5f168e8df368fe8462aaca6f6418efce1b33a66e06b79b564a2b

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.854739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.854739Z digest=sha256:414bfe58d7ce3d078cc5fe90815e9966efeaeb148d4be2e8b9f65bdbdd32d78d

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.904739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.904739Z digest=sha256:d8e9c06507f8b2637383338ec77d7e3c1560404f8eed26069cc3070e996e6b79

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:48.954740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:48.954740Z digest=sha256:481b9ccd35fb650e849ca9f857ad1c7c87c2f822b44165e3b8eb3a570ea40aeb

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.004783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.004783Z digest=sha256:05b54ef52e707985188daa74b13ed2d8eba3b526e2bea00ab7634705bf0c5ab3

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.045290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.045290Z digest=sha256:ea0af64e62225f02d7e91919051e460a4ba1da6a51be13a29074f71fbfe9340e

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.064740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.064740Z digest=sha256:c69dbe8947a9fac1753c1594d4aa5697d901027bc4ba4a1a6365a9c672883fa8

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.104895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.104895Z digest=sha256:3e6938ca1591c50c26c9d43dd4b82561fa3d29064a1ef88d5f560dd5638a5d50

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.144740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.144740Z digest=sha256:e5351da6dbb41ad4a2e421ebc424bb3bb84c0789dd557cf0d0594dad86a77ab4

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.189383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.189383Z digest=sha256:498726eb89663a903d4d3b5c7a2be1766d94f0c25f5c3a5cf9fcabb43e77be70

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.244876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.244876Z digest=sha256:8a2bbe1debe7c76082e202ef36a505487edfad9b7a167c674d420b5768bc9ef5

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.284876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.284876Z digest=sha256:68d1161e668d26fac921e78146e6cb5a12cfd434084334bcee8a883f0578f3b4

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.314742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.314742Z digest=sha256:c1c70a005dc729ffbd45060c64acf519aba8b075029b593197dde02c0acd8366

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.332210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.332210Z digest=sha256:9ccb06e27334397ec365d965a3bb2fb902833ccb9b19e4caec8363153cd64d3c

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

Resolution
unresolved
no resolver link, observed 2026-07-30T16:08:49.344738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:08:49.344738Z digest=sha256:ecbd4fe6b8694332f18b822d8c37cda6ec2eef06b90e72df5c341c8884353158

Pith citing papers

No inbound Pith citation observations are available.