Pith. sign in

Paper Citation Record · LEDGER

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.00153.

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

pith.paper-citation-record.v1
2507.00153 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:26:10.645544Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1c76606-7186-4098-97e9-10f777b29241 · outbound

This paper cites The GOOSE Dataset for Perception in Unstructured Environments,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics The GOOSE Dataset for Perception in Unstructured Environments,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:15.965367Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.096187Z digest=sha256:196264c1acd2ab5af50be5313689f3fb1c31726d1bec2d3754f3d89da31ae82b

Observation 3f976b71-f573-4bbe-9bd8-367bb8be8ca1 · outbound

This paper cites Survey on Datasets for Perception in Unstructured Outdoor Environments,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Survey on Datasets for Perception in Unstructured Outdoor Environments,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:15.824018Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.099581Z digest=sha256:2cdb5f2c224cedc9e359b3180f25cbe41e758fd8e3c1e00c287dcfa92a1d58c8

Observation e57fa28f-f8a6-40d5-8fc6-96ff1104089e · outbound

This paper cites Selective memory: Re- calling relevant experience for long-term visual localization,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Selective memory: Re- calling relevant experience for long-term visual localization,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:15.621945Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.109128Z digest=sha256:44cc99ea3e3c297d2d11c1ea305d878a845d02b87bb7c88ba62a01a2869bd8ec

Observation d2909f43-ceda-4c9f-aceb-a3e322487747 · outbound

This paper cites FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:15.447052Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.115177Z digest=sha256:0363f3a16b846ddc467f97802716f7c84c90178370afb1f1b3a731555acee04a

Observation edb483f9-ef3f-4c8a-b98a-0b09b4be83f6 · outbound

This paper cites Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:15.223638Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.120312Z digest=sha256:3fcb3701505c58a2ceafc2a168fb4f019134c4f3cfc825c331d68836ced72e53

Observation dd1411f1-d015-4747-b0e5-df877f10e718 · outbound

This paper cites Denoising Diffusion Probabilistic Models,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Denoising Diffusion Probabilistic Models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:15.049571Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.126402Z digest=sha256:ef667149ef1440b6dbef0be3cff5a02eeba75969e854e37a56990efda9067b0e

Observation a96370bc-b8a4-4e27-a46b-bd251735f95c · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynam- ics,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Deep Unsupervised Learning using Nonequilibrium Thermodynam- ics,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:14.892143Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.134440Z digest=sha256:3c4d584160bc07ffdc3442a88020e26e4b850c1359bcc48abcc09ccb8531d110

Observation 3b549c87-4e23-4d0e-989e-d6f4cb73f74c · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Diffusion Models Beat GANs on Image Synthesis,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:14.683502Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.140150Z digest=sha256:8c3c73e1b8ada1d7dc40212cf700d401adcb67840378cfc8a4c2fdb110bdf743

Observation 1d99919d-36f9-4bca-9d98-2704c0d774aa · outbound

This paper cites High-Resolution Image Synthesis With Latent Diffusion Models,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics High-Resolution Image Synthesis With Latent Diffusion Models,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:14.533147Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.147315Z digest=sha256:f3492b5634961bb113344a36649c502f5fb807f09b45600f19f6f09f7dbd5ecc

Observation 0e1f75ab-41e3-4b2b-b62b-280e939520f2 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Adding Conditional Control to Text-to-Image Diffusion Models,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:14.410740Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.154026Z digest=sha256:e422bbd424329575a05eda669fef58af60433c9b870d1f28f500a467e0a8cb52

Observation 1002be67-f503-4d0f-bc7f-9e88ae2653f2 · outbound

This paper cites LAION-5B: an open large-scale dataset for training next generation image-text models,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics LAION-5B: an open large-scale dataset for training next generation image-text models,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:14.246718Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.162702Z digest=sha256:b3b9d05a088370cdc17af1dfe113e13f38878562b0bca859cfbff60a89eddac2

Observation e3821efa-6132-4190-b457-bd559e1b9b75 · outbound

This paper cites Lecun, L.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Lecun, L

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:14.063554Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.172187Z digest=sha256:7dcf170b61319f264470ed92d0263a300840710d5b3a113bce3a955a4ad8f89f

Observation 86514b44-ebc2-49ff-885c-8ccb8adf2424 · outbound

This paper cites Learning Hier- archical Features for Scene Labeling,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Learning Hier- archical Features for Scene Labeling,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:13.920495Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.180253Z digest=sha256:edc8795ede409f724b15653a4254ec7fbe977e425da1739a6ee1b8264f5d3625

Observation 74fdc3fd-83a1-42b1-8758-dbd16078adb1 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Fully convolutional networks for semantic segmentation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:13.764935Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.192459Z digest=sha256:de043af813c423d44722ccec7679504a70a2f8e01ba3177c3477cbd1fa464aef

Observation e4a1467e-01f6-4e5f-889a-260fd08d2d4e · outbound

This paper cites mixup: Beyond Empirical Risk Minimization,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics mixup: Beyond Empirical Risk Minimization,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:13.614087Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.203988Z digest=sha256:6f447692e5f13a21018bbb2ed76fbf47a53410f1705711dae1dd69076bbef5b8

Observation 72569b3b-e435-4409-90f2-02ffd5061691 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Improved Regularization of Convolutional Neural Networks with Cutout

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:26:10.208520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:10.208520Z digest=sha256:bb36ccce271107d6eb5ed6542214a6f0daaff5249fb80773db909a9cb9bfbdcb

Observation d5a82697-359d-4f6a-b380-3006e9cc9474 · outbound

This paper cites CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:13.424216Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.221705Z digest=sha256:4e926ae94e665fc0129b27fbc20033d82fd0ab92bbda7de048ad8af26a8d0daf

Observation c970c857-d679-4b1b-812e-85395b2de516 · outbound

This paper cites Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:13.248337Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.233933Z digest=sha256:02fae15cc79bc4f29461b751077c705a4b728a9d0fd2642f042bb8e7a2efe2e8

Observation 2d1f71f9-07fb-4495-8e86-c542c92112d0 · outbound

This paper cites On Fea- ture Normalization and Data Augmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics On Fea- ture Normalization and Data Augmentation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:13.088508Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.242602Z digest=sha256:fe0bea4aa1994eda38f528434cca42bce11668b1bb31df1fd2d8e4e829d03a87

Observation 62736251-3689-4f21-abe5-2cff15ef7e49 · outbound

This paper cites Unpaired Image-to- Image Translation using Cycle-Consistent Adversarial Networks,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Unpaired Image-to- Image Translation using Cycle-Consistent Adversarial Networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:12.933643Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.253181Z digest=sha256:4892ae6647a43ecdc3740de3f198c903ce973053eebb8eba02169890cb2d681a

Observation 63aa0719-9fba-4c4f-a8ae-849e0772c3ac · outbound

This paper cites Parameterizable Lidar- Assisted Traffic Sign Placement for the Augmentation of Driving Situations with CycleGAN,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Parameterizable Lidar- Assisted Traffic Sign Placement for the Augmentation of Driving Situations with CycleGAN,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:12.746237Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.265934Z digest=sha256:875254dec430fc77b8885dcc86016dde1614a1834fba54d2129141f99af949d8

Observation e96e8c1e-4493-4587-8d54-3557d4eb9815 · outbound

This paper cites DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:12.562394Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.279935Z digest=sha256:4e7c4a66c93a9164b48c027d3d59d08e3e92def2828a8650077a03f114a4ad6c

Observation 25e50a7b-7f87-4390-91f5-a454641930d7 · outbound

This paper cites Learning to Adapt Structured Output Space for Semantic Segmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Learning to Adapt Structured Output Space for Semantic Segmentation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:12.403637Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.291713Z digest=sha256:0ec60f719832540f11b489057a90ae8f4bfcd52d460571e82ad29e94ae7be191

Observation 5f3c5202-06cc-4458-b40d-7b93c33c68fb · outbound

This paper cites Continual Test-Time Domain Adaptation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Continual Test-Time Domain Adaptation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:12.275198Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.302370Z digest=sha256:8fa98ba70dd88fe33b46e4213da38ad84af13806f8e00a6e48e43d4eb29c15b6

Observation bac19dc6-d6bf-4e19-87c5-3dd9bc4bb74a · outbound

This paper cites Generalization by Adaptation: Diffusion-Based Do- main Extension for Domain-Generalized Semantic Segmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Generalization by Adaptation: Diffusion-Based Do- main Extension for Domain-Generalized Semantic Segmentation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:12.146943Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.317787Z digest=sha256:9240d83db38d0c466075cc4e1d33ff9dd13d1b33dd898a24a3e17685c598c96c

Observation 6008de69-7d92-4b97-9aba-55d1db2dcf0f · outbound

This paper cites Canadian Adverse Driving Conditions Dataset,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Canadian Adverse Driving Conditions Dataset,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:12.039162Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.327832Z digest=sha256:4e2b855bf2bdeabcb30cf64a02469b983b5405da89694e2830b73e2aa44bc248

Observation 05c28697-943a-42c3-96ec-fbb3ecc82b7b · outbound

This paper cites Boreas: A Multi-Season Autonomous Driving Dataset,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Boreas: A Multi-Season Autonomous Driving Dataset,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:11.903155Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.343449Z digest=sha256:fe66fc4b4d320cbf19d518e25dcde67d94d98900efff5e2318e73a82d3f99fec

Observation 50f11191-cf2d-4afb-86c8-d08af994c0cb · outbound

This paper cites The Winter Adverse Driving dataSet (W ADS),.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics The Winter Adverse Driving dataSet (W ADS),

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:11.748329Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.359854Z digest=sha256:cf8062bcfc9017b14d0faaedd64299ea042a563356d9fa28a8aab4831ceb5954

Observation 4534bafc-de84-4d6e-8beb-f182331223d6 · outbound

This paper cites SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:11.421147Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.393225Z digest=sha256:1488daaf1ac1b74f446ac995dfdc52c0199157448e229621af5a94015c457251

Observation f99b8a0f-4832-46bb-8ca1-43ef71f0b8e1 · outbound

This paper cites FinnWoodlands Dataset,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics FinnWoodlands Dataset,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:11.262120Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.412732Z digest=sha256:d25d2b72483d05fe56574fc8e5d9497e7f3e34e29d54e622ee6e71d996d6ec9c

Observation 35bc85c9-02df-43be-9fc8-a569ac1e53c5 · outbound

This paper cites Resolution-Robust Large Mask Inpainting With Fourier Convolu- tions,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Resolution-Robust Large Mask Inpainting With Fourier Convolu- tions,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:11.106669Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.459025Z digest=sha256:2b72262b5d5ac8d2b51e82add5fed58fcd6d73d60bab477953f54eb592b12fde

Observation 832af1d2-4a3a-42be-a57c-04cccf609a61 · outbound

This paper cites Gen- eralized Decoding for Pixel, Image, and Language,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Gen- eralized Decoding for Pixel, Image, and Language,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:10.971436Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.515577Z digest=sha256:628903a3097559fb72de67b5e8689d8333f7851b78e60f5a33f01203d17c49fb

Observation f2635647-3b00-4b3a-b9ab-bcbca537b2b6 · outbound

This paper cites LVIS: A Dataset for Large V o- cabulary Instance Segmentation,.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics LVIS: A Dataset for Large V o- cabulary Instance Segmentation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:10.793498Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.596447Z digest=sha256:996edc0753a6a7ac33e34c21f7512a7ef83dc220f553b5f44ae0f6ec3f087709

Observation f00d5577-7ef6-485e-a614-3cb7be8c867b · outbound

This paper cites Region Rebalance for Long-Tailed Semantic Segmentation.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Region Rebalance for Long-Tailed Semantic Segmentation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T21:26:10.645544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:10.645544Z digest=sha256:d770dc7420f2160aca1de3cb7127575ec782f6bea0aa7a26e695a51d642a6e56

Observation d23d3ca5-2344-47da-a85b-9a95d314297f · outbound

This paper cites Available: https://digitalcommons.mtu.edu/wads/ 2.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics Available: https://digitalcommons.mtu.edu/wads/ 2

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:11.592724Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:26:10.378263Z digest=sha256:27fa97ff1aa3d29d03b62660b00c525880727d5d30eb1461ecdde422ab62e505

Observation 0f109709-446e-41bd-912b-e0f25f09a7d6 · outbound

This paper cites ROVER: A Multi-Season Dataset for Visual SLAM.

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics ROVER: A Multi-Season Dataset for Visual SLAM

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T21:26:10.105756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:10.105756Z digest=sha256:3f91a8b97d994a38a5059679d82b81883f454186238b0a7a443b0588f92c30da

Pith citing papers

No inbound Pith citation observations are available.