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Paper Citation Record · LEDGER

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments

As of 23 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2606.23152.

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

pith.paper-citation-record.v1
2606.23152 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:33:27.351106Z

measured 72 of 72 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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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Reference resolution

72 of 72 outbound references displayed

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Outbound references

Observation 8438306d-ad10-4b2b-816a-72806b28d0e2 · outbound

This paper cites Ancuti, Cosmin Ancuti, Mateu Sbert, and Radu Timofte.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Ancuti, Cosmin Ancuti, Mateu Sbert, and Radu Timofte

Reference 1

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Observation 7b8e27af-f951-4e98-910f-2b243ec46946 · outbound

This paper cites Robot active vision-based path planning for localization improvement in indoor environments.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Robot active vision-based path planning for localization improvement in indoor environments

Reference 2

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Observation b6bc2015-d6a4-4e33-bdf0-e78fdc8dcfe2 · outbound

This paper cites Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

Reference 3

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Observation f7a771f0-a816-4b2d-81d2-fd566f385d3d · outbound

This paper cites Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

Reference 4

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:7d2ca7f842fd5a1e07e37893211de0889688d48c70ac9aa5a09e417897f0a310

Observation 72bbaf0c-081b-473e-8639-e9ad3c393c7f · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth, 2023.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth, 2023

Reference 5

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:755f3b29d8787959ebdd3c446f4922faba609def0028d2f9710212200e371986

Observation 61c6f306-a8d9-4231-a8d3-3800b74f24c6 · outbound

This paper cites Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

Reference 6

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Observation 3b2e83dd-24f3-4c58-9712-faa9aa8748e4 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 7

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Observation 05ae8cc3-b3fa-46d9-81f0-aa5ca38478a5 · outbound

This paper cites MoCha-Stereo: Motif Channel Attention Network for Stereo Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments MoCha-Stereo: Motif Channel Attention Network for Stereo Matching

Reference 8

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:57b579165683deca3320e06db6e2d49209fc35d457a6f7d34c2a73deaa8fed9a

Observation 90c4bba5-4603-4739-94d6-9688d1556673 · outbound

This paper cites Unsupervised confidence for LiDAR depth maps and applications.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Unsupervised confidence for LiDAR depth maps and applications

Reference 9

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Observation a15387cc-4b3a-4510-beb3-23fb2d9b0a2f · outbound

This paper cites Deformation measurement of tunnel shotcrete liner using the multiepoch LiDAR point clouds.Jour- nal of Construction Engineering and Management, 150(6):04024049, 2024.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Deformation measurement of tunnel shotcrete liner using the multiepoch LiDAR point clouds.Jour- nal of Construction Engineering and Management, 150(6):04024049, 2024

Reference 10

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Observation 06c386cc-fd3e-4399-905f-b32b198e46cf · outbound

This paper cites A virtual construction vehicles and workers dataset with three-dimensional annotations.Engineering Applications of Artificial Intelligence, 133:107964, 2024.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments A virtual construction vehicles and workers dataset with three-dimensional annotations.Engineering Applications of Artificial Intelligence, 133:107964, 2024

Reference 11

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Observation e65aa84f-5f48-4ad0-8f53-7eeeb3f3c527 · outbound

This paper cites AREPO: Uncertainty-Aware Robot Ensemble Learning Under Ex- treme Partial Observability.IEEE Robotics and Automation Letters, 10(6):5737–5744, 2025.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments AREPO: Uncertainty-Aware Robot Ensemble Learning Under Ex- treme Partial Observability.IEEE Robotics and Automation Letters, 10(6):5737–5744, 2025

Reference 12

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Observation 3ad0a6d0-d42b-4ed5-9580-0fdad1147cfb · outbound

This paper cites Indoor FireRes- cue Radar: 4D Indoor Millimeter Wave Dataset and Analysis for Hazardous Environment Perception.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Indoor FireRes- cue Radar: 4D Indoor Millimeter Wave Dataset and Analysis for Hazardous Environment Perception

Reference 13

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:ed607c0f3106d0f5e6f1990d35de233e4b4c80a7c99d76a93d9d96f6ec4df33b

Observation 46787dd6-84ad-4b78-8f6a-9882c173282a · outbound

This paper cites Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Reference 14

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Observation 003ae776-147c-428d-bc82-c5ee76eb903d · outbound

This paper cites Vision meets Robotics: The KITTI Dataset.International Journal of Robotics Research (IJRR), 2013.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Vision meets Robotics: The KITTI Dataset.International Journal of Robotics Research (IJRR), 2013

Reference 15

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Observation 4219cd57-2b5e-4e6b-83c7-2be289f3cc8c · outbound

This paper cites SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps

Reference 16

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Observation d0edc6d6-c794-4a6d-be64-8e50f0856fc8 · outbound

This paper cites Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion, 2026.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion, 2026

Reference 17

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Observation 2a481cf8-937b-44a9-8064-d7a856889d38 · outbound

This paper cites DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching

Reference 18

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Observation 426767d9-3fa3-441f-acdd-5be99c35df75 · outbound

This paper cites Robotic Framework for Iterative and Adaptive Profile Grading of Sand.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Robotic Framework for Iterative and Adaptive Profile Grading of Sand

Reference 19

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Observation 3f39c443-956e-47e1-9ab8-415cc3ab6b17 · outbound

This paper cites Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Reference 20

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Observation 50fe49b5-0e51-45e1-b278-34de9b41a3c5 · outbound

This paper cites Hirschmuller.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Hirschmuller

Reference 21

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:58935f9197b9019641c6a77c02481187b8d4405c549e167a324bf6b4d8c7155e

Observation bd3da8f7-e493-469d-beaa-8fc5a35a2ee3 · outbound

This paper cites BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Mod- els.Proceedings of the AAAI Conference on Artificial Intelligence, 40(7):5085–5094, Mar.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Mod- els.Proceedings of the AAAI Conference on Artificial Intelligence, 40(7):5085–5094, Mar

Reference 22

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Observation f85bd1c5-6227-400f-84f4-5a6dea0866b5 · outbound

This paper cites Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior.Proceedings of the AAAI Conference on Artificial Intelligence, 39(4):3877–3885, Apr.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior.Proceedings of the AAAI Conference on Artificial Intelligence, 39(4):3877–3885, Apr

Reference 23

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:081b1ce8f68b34c47ef9c920ed77d19fe69e4a280f98518710b54468daa4adb6

Observation 0ad6a798-317d-4fa2-b723-6c2070665737 · outbound

This paper cites Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation.IEEE Access, 9:35984–35996, 2021.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation.IEEE Access, 9:35984–35996, 2021

Reference 24

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Observation 9e99dfa1-6c0b-4206-838c-cdf218dc7675 · outbound

This paper cites Test- Time Prompt Tuning for Zero-Shot Depth Completion.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Test- Time Prompt Tuning for Zero-Shot Depth Completion

Reference 25

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Observation 660451cb-ef05-48d7-ad87-ed2994d926e4 · outbound

This paper cites DEFOM-Stereo: Depth Foundation Model Based Stereo Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments DEFOM-Stereo: Depth Foundation Model Based Stereo Matching

Reference 26

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Observation e7fe2acc-09fb-44ec-8c8c-920ba5cc8f6e · outbound

This paper cites Semantic 3D Reconstruction for V olumetric Modeling of Defects in Construction Sites.Robotics, 13(7), 2024.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Semantic 3D Reconstruction for V olumetric Modeling of Defects in Construction Sites.Robotics, 13(7), 2024

Reference 27

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Observation 6eabe079-7f49-44e6-853e-5d1e635daf51 · outbound

This paper cites Repurposing Diffusion- Based Image Generators for Monocular Depth Estimation.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Repurposing Diffusion- Based Image Generators for Monocular Depth Estimation

Reference 28

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Observation 08611102-fdb7-4b6a-8547-7b87f49739ff · outbound

This paper cites Depth Completion as Parameter-Efficient Test-Time Adaptation, 2026.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Completion as Parameter-Efficient Test-Time Adaptation, 2026

Reference 29

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Observation 6fe31bb4-ebe7-4f52-ad8b-ed16185fde95 · outbound

This paper cites Seman- ticBridge—A dataset for 3D semantic segmentation of bridges and do- main gap analysis.Developments in the Built Environment, 26:100912, 2026.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Seman- ticBridge—A dataset for 3D semantic segmentation of bridges and do- main gap analysis.Developments in the Built Environment, 26:100912, 2026

Reference 30

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Observation 5a63608e-62b6-49bc-ad6a-31203a932366 · outbound

This paper cites End-To-End Learning of Geometry and Context for Deep Stereo Regression.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments End-To-End Learning of Geometry and Context for Deep Stereo Regression

Reference 31

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Observation 6609bc83-be53-4f3c-bb81-c3d2c142b83d · outbound

This paper cites Evaluation of CNN-based Single-Image Depth Estimation Methods.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Evaluation of CNN-based Single-Image Depth Estimation Methods

Reference 32

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Observation 9a6e5f27-d64c-4881-9ddc-bca748686c9d · outbound

This paper cites an unresolved cited work.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Unresolved cited work

Reference 33

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:197192efb0f39a86aad379714836677807575d4ff903e574b203782cd33df8d7

Observation e2e934af-319c-4adb-8a81-02bcc6567d31 · outbound

This paper cites ConPR: Ongoing Construction Site Dataset for Place Recognition, 2024.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments ConPR: Ongoing Construction Site Dataset for Place Recognition, 2024

Reference 34

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:bb01c3ae9d56351b65f4104756a6fd0fc55aa5efc2fffabcfdfdef8908178aa6

Observation 119783e1-a9c8-4a9c-8a5b-4104ebd6d9c4 · outbound

This paper cites Distilling Monocular Foundation Model for Fine-grained Depth Completion.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Distilling Monocular Foundation Model for Fine-grained Depth Completion

Reference 35

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:3412afb8bf8a85de3c5afaf64b88c654dff073ef5acb72a127de45dcc3efa013

Observation c867976c-c2aa-487c-a51a-f2e7f31ff3f4 · outbound

This paper cites Any-stereo: Arbitrary scale disparity estimation for iterative stereo matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Any-stereo: Arbitrary scale disparity estimation for iterative stereo matching

Reference 36

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:2488b71b96371033cfb8cfe7c4f2d7e0c9223fec2cd254ec6fc326d27dec48b3

Observation 92cd4d52-25bc-4546-a7da-dbcd533429ca · outbound

This paper cites Chen, Zhenyu Li, Guang Shi, Jiashi Feng, and Bingyi Kang.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Chen, Zhenyu Li, Guang Shi, Jiashi Feng, and Bingyi Kang

Reference 37

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:4538f8602bddb1424756f11ef2913647df616c5a5c21237aa3c9e33317d59901

Observation 2e9af014-f951-48de-979f-7b876060561c · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Anything 3: Recovering the Visual Space from Any Views

Reference 38

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local_arxiv, observed 2026-07-04T10:49:45.571383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:fa038b237ab1c145020669d639cdd33f17cec51862bfa66392f8cb5b18d0002f

Observation 4d6ccfdb-8c22-4f7f-ac12-6d524bd938fa · outbound

This paper cites Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation

Reference 39

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:5dee1d49fc4d06413da1763e86ff3f242eb3b35cece1e98ffa3f1e030ca4aacc

Observation 0273a053-a6ed-411b-af92-8a788c84210d · outbound

This paper cites RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

Reference 40

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:6940563787a057276d87bcfc3235a8528d277430b3d7662149e9c20a4d853dd5

Observation 74dfc6fa-1d5b-49fd-913e-e3a4674033a3 · outbound

This paper cites A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Reference 41

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:cdf16d1a14ac9586c53801a6dc4c1e36342c1f2184948207ee7f9401802b8aef

Observation 753ad4e2-b652-44ca-8825-5e0bc033bef5 · outbound

This paper cites Sirakoulis, and Antonios Gaster- atos.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Sirakoulis, and Antonios Gaster- atos

Reference 42

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:7ab5c33dc4b07c4e2235a826a8d641af74e24ae52256dfa3926e5c9609c60d1d

Observation 18573609-853e-4af9-b0e8-a8abab8096e9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision, 2024.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments DINOv2: Learning Robust Visual Features without Supervision, 2024

Reference 43

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:419767d3d69a72324bc1f5fe7e014a0c65a25e4a645597bc20d98e48a1a15655

Observation 58a20aa2-a28a-4b32-9346-5ea44ad26011 · outbound

This paper cites SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation

Reference 44

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:c12d078a0a2d89ef4402da04976ffeb548660f900e75d36fc5d352d016158efe

Observation c6db3b2a-0602-455d-8769-941ccf9724cb · outbound

This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 48(3):2354–2367, 2026.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 48(3):2354–2367, 2026

Reference 45

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:3dd584e980169e90a2801585f3ca7726bc9e7c6d28a6fbeee0e2165d36403c08

Observation e0c95628-7451-49e6-971c-0cee6f4616e7 · outbound

This paper cites UniDepth: Universal Monocular Metric Depth Estimation.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments UniDepth: Universal Monocular Metric Depth Estimation

Reference 46

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:726d2fd8377c5725436ce62a8fef37c5edd8957905d152cd86d7469a8c5b4f13

Observation 637d3f0d-120b-406c-97f5-5a2056ec8baf · outbound

This paper cites an unresolved cited work.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Unresolved cited work

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:17d53483d99e38c49e181405851d3e4e002f0ae85872bc7e20ca91b6ca4fbcce

Observation e54efb27-b5f3-48dc-8776-c314d03d9511 · outbound

This paper cites A Virtual Reality-Based Learning Environment for Human—Robot Collaboration Training in Construction 4.0.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments A Virtual Reality-Based Learning Environment for Human—Robot Collaboration Training in Construction 4.0

Reference 48

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:3f120b7195d4777db46515b1722610a7134dc4445f5e2c53477064da6a2968fa

Observation 7d76c5cb-71eb-4007-b640-f133aa651639 · outbound

This paper cites Towards autonomous shotcrete construction: semantic 3D reconstruction for concrete deposition using stereo vision and deep learning.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Towards autonomous shotcrete construction: semantic 3D reconstruction for concrete deposition using stereo vision and deep learning

Reference 49

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:a7bc2af3d08735c7c991c659bad21ff1942b3ddb072568eac2dd7be8a1c67eb0

Observation ca1090ad-96b0-4163-8092-d0410ebbbabb · outbound

This paper cites Segmentation dataset for reinforced concrete construction.Automation in Construction, 171:105990, 2025.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Segmentation dataset for reinforced concrete construction.Automation in Construction, 171:105990, 2025

Reference 50

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:1b3fc970329b1a0d7404ecc1ae6501b761e6fd22f2587af1684253bd99b02da5

Observation a60d3590-7a32-45b4-a9c5-eaf75547b881 · outbound

This paper cites Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation, 2026.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation, 2026

Reference 51

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:efc15fdda539e0e49bef5f3d193a3580910dd39bc21e7c14f466fcb74089f7f0

Observation c3b9a861-14f4-459c-8c48-3a2314459112 · outbound

This paper cites CFNet: Cascade and Fused Cost V olume for Robust Stereo Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments CFNet: Cascade and Fused Cost V olume for Robust Stereo Matching

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:0cd8c2a7816a074361455bbafb507cf4198607e0da54a327b007b86187ba3fdd

Observation 1e60ca9a-52b7-4059-9ec6-b2f9fd229827 · outbound

This paper cites PCW-Net: Pyramid Combination and Warping Cost V olume for Stereo Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments PCW-Net: Pyramid Combination and Warping Cost V olume for Stereo Matching

Reference 53

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:2db8768a7bdc0b47f9a37d283c73b4ce67fe96bcc3190e960921191f71b64a1c

Observation 5928d5ed-e423-4977-b6cf-a18ff9fb4efd · outbound

This paper cites Dataset for evaluation and numerical modelling of structural performance of fibre- reinforced shotcrete with fibres of steel, synthetic and basalt.Data in Brief, 61:111684, 2025.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Dataset for evaluation and numerical modelling of structural performance of fibre- reinforced shotcrete with fibres of steel, synthetic and basalt.Data in Brief, 61:111684, 2025

Reference 54

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:b5541f0c6787c3bf144fb18927a7b918b5d3d4e8876fa0385e539440b4fe45ca

Observation a56ab1ed-41ed-4dcd-97a6-5b3c3eca7ac4 · outbound

This paper cites ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring

Reference 55

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:97675cced343fdf222c50294cd7dd059e642c51d388211592c15711ac242139a

Observation 5c2552da-b01f-49a9-a63e-793800af2450 · outbound

This paper cites Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Reference 56

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:635d0d34e44dd5c990dbc0b359183bb83cb3e0ef5243adb4dd9b320616569230

Observation 17d6432b-8d82-4a29-bf9e-951c44a14dac · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:9d84bafcb1939a92ee28417c2cfe9e1f8c8cb90df5437d0943b17cccca4b4c69

Observation 5fe6ad87-f507-4ebc-a81a-bf36414ec567 · outbound

This paper cites MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Reference 58

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:6d2bbb15942d6b2a239067c427b4807b4297b518edbaba0bd29111384c251c70

Observation 8848bbe4-486c-432d-bda0-a54a15c60d74 · outbound

This paper cites Croco v2: Improved cross- view completion pre-training for stereo matching and optical flow.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Croco v2: Improved cross- view completion pre-training for stereo matching and optical flow

Reference 59

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:b7abe30484466035fe2e19f65c7f93cbcafd154f30ed4c2e89116585dcbe1945

Observation 1bf4079d-abe5-4db5-9cbc-3b97b0279335 · outbound

This paper cites FoundationStereo: Zero-Shot Stereo Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments FoundationStereo: Zero-Shot Stereo Matching

Reference 60

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:0d68b169dd86d71756ed7a2721d9c1e68a69cab959bc7640eff06d59085ea483

Observation 62cf502d-db1c-4173-b12c-7d656fe20bc2 · outbound

This paper cites Advancing robotic automation in wood- framed construction using vision-driven adaptive control.Automation in Construction, 185:106858, 2026.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Advancing robotic automation in wood- framed construction using vision-driven adaptive control.Automation in Construction, 185:106858, 2026

Reference 61

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:93cfb88ee1ca2ed24126b23270ee26b8e0c527da70059e7aca8602042dedfbff

Observation d6ad83bf-7a61-48e1-892f-f094812c12fb · outbound

This paper cites Pixel- Perfect Depth with Semantics-Prompted Diffusion Transformers, 2025.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Pixel- Perfect Depth with Semantics-Prompted Diffusion Transformers, 2025

Reference 62

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:0e9a8f38aa1870d4e0cedf8c5b3edb4ba58795bca46a3e1a366b92ab3930da34

Observation 1037a882-525c-4725-a231-2f8b7c837bbb · outbound

This paper cites Iterative geometry encoding volume for stereo matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Iterative geometry encoding volume for stereo matching

Reference 63

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:825d28dd70c6e8b2488ab6dad05df85f79a86ef2114c63b4600a6859aa56a538

Observation 96d6663b-3f2b-40be-a5ce-ee711da2c0db · outbound

This paper cites AANet: Adaptive Aggregation Network for Efficient Stereo Matching.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments AANet: Adaptive Aggregation Network for Efficient Stereo Matching

Reference 64

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:f1d71a5a11562069cfa0f6750adc6e60b1b6b632ea94449f6e207f31aea29f3f

Observation c9d71e12-e3f5-4e00-a147-497d71971c29 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:d2809829c91179d9256a486d783146f144ae119ca54221030dd53dae098f5eaa

Observation 5cd4e0ff-b5fb-48cd-9b04-773bc6e6425e · outbound

This paper cites Depth Anything V2.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Anything V2

Reference 66

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no resolver link, observed 2026-06-26T08:33:27.351106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:92c80d7eef3d89d837a332e181b6f4db37d6d6664005dcccab3d270d973edd89

Observation b275b96a-cccf-4096-991f-ac1c04a6a9a1 · outbound

This paper cites Physics-based particle system modeling of shotcrete process for robotic placement.Construction Robotics, 9(2):30, 2025.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Physics-based particle system modeling of shotcrete process for robotic placement.Construction Robotics, 9(2):30, 2025

Reference 67

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:4e076de71a0aaf97851a99bbef77430d42e739339e99da984bce38894288dda4

Observation 3fa42c8e-ab7f-457c-8426-7b72d646d55a · outbound

This paper cites From Human to Height-Field: Predictive Shotcrete Simulation with a Physics-Informed Particle System.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments From Human to Height-Field: Predictive Shotcrete Simulation with a Physics-Informed Particle System

Reference 68

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:04e46350f79af73fd856bba9153d1648b4068b7eb03d576f9508c6991d53056a

Observation aa65087f-3b7b-420f-b784-9424d8ae55f0 · outbound

This paper cites Metric3D: Towards Zero- shot Metric 3D Prediction from A Single Image.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Metric3D: Towards Zero- shot Metric 3D Prediction from A Single Image

Reference 69

Resolution
unresolved
no resolver link, observed 2026-06-26T08:33:27.351106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:36ff491226c22c3c9903575fe58d8102a420dea9a630917f839f5b2c61dcc42b

Observation c0b4a35d-3ab8-46ff-b8fb-35c101a633d2 · outbound

This paper cites BetterDepth: Plug-and-Play Diffusion Refiner for Zero- Shot Monocular Depth Estimation.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments BetterDepth: Plug-and-Play Diffusion Refiner for Zero- Shot Monocular Depth Estimation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-06-26T08:33:27.351106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:eef35eee3db08835b329256d631f8ef2189e218816e83934d1412e357da79bc8

Observation 5ab03d8d-ea80-4fd5-8cb1-fbb2fd63d1ba · outbound

This paper cites OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations

Reference 71

Resolution
unresolved
no resolver link, observed 2026-06-26T08:33:27.351106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:7848905f2b06edf381fdc3c9dad8b0eaa440e0d0051d2d4cfb8cb2abba8f362d

Observation 67df0a9e-b69e-4389-8d98-b2ec3fbe52a0 · outbound

This paper cites OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Inte- gration.

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Inte- gration

Reference 72

Resolution
unresolved
no resolver link, observed 2026-06-26T08:33:27.351106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:33:27.351106Z digest=sha256:394e85eb329ded8e06155d5244ff6c6770813320f1ae39f377692c8e2b9be99c

Pith citing papers

No inbound Pith citation observations are available.