Paper Citation Record · LEDGER

Real-time Vision-based Depth Reconstruction with NVidia Jetson

As of 24 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1907.07210.

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

pith.paper-citation-record.v1
1907.07210 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T20:52:25.032567Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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.

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

35 of 35 outbound references displayed

verified exact3
verified fuzzy32
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48540559-f67e-4c8a-b29c-70e044c13ea7 · outbound

This paper cites Unsupervised cnn for single view depth estimation: Geometry to the rescue.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Unsupervised cnn for single view depth estimation: Geometry to the rescue

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.931864Z

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.

Observation b5ad50a5-ca51-4e07-b09d-8ea63a6dcec3 · outbound

This paper cites Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.928950Z

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.

Observation 4f1270f2-006d-49b7-991d-827004cdfc76 · outbound

This paper cites Unsupervised monoc- ular depth estimation with left-right consistency.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Unsupervised monoc- ular depth estimation with left-right consistency

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.926157Z

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Observation 978a502b-f1ba-481e-99ba-8429014fa565 · outbound

This paper cites Cream: Condensed real- time models for depth prediction using convolutional neural networks.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Cream: Condensed real- time models for depth prediction using convolutional neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.923453Z

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Observation 4445b432-6063-4ec8-841c-8b5a1ac7ee47 · outbound

This paper cites Image and depth from a conventional camera with a coded aperture.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Image and depth from a conventional camera with a coded aperture

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.920485Z

Source-reported events for the cited work

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Observation 5918d9fb-1a12-4973-940c-0ed8a2171046 · outbound

This paper cites Natural image statistics and efﬁcient coding.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Natural image statistics and efﬁcient coding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.917753Z

Source-reported events for the cited work

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Observation 753849c0-4d68-4815-96c2-effb853bde34 · outbound

This paper cites 3-d depth reconstruction from a single still image.

Real-time Vision-based Depth Reconstruction with NVidia Jetson 3-d depth reconstruction from a single still image

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.915164Z

Source-reported events for the cited work

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Observation d20a3167-924c-4215-8c83-ca7239fb124a · outbound

This paper cites A dynamic bayesian network model for autonomous 3d reconstruction from a single indoor image.

Real-time Vision-based Depth Reconstruction with NVidia Jetson A dynamic bayesian network model for autonomous 3d reconstruction from a single indoor image

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.912437Z

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Observation ae23a9ce-6280-49d7-bfbc-dc9915c8c026 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Fully convolutional networks for semantic segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.909036Z

Source-reported events for the cited work

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Observation a71f2700-2ba3-4258-8b11-fc01375c0558 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Depth map prediction from a single image using a multi-scale deep network

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.904201Z

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.

Observation 69494787-47f5-40a5-bfa4-3a68cb860a0f · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural networks.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Imagenet classiﬁcation with deep convolutional neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.865983Z

Source-reported events for the cited work

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Observation dc046b37-130d-4027-8db9-5615db7417b2 · outbound

This paper cites Deeper depth prediction with fully convolutional residual networks.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Deeper depth prediction with fully convolutional residual networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.869602Z

Source-reported events for the cited work

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Observation c22e5118-11fe-496d-b2c6-f3e2b098ff92 · outbound

This paper cites A robust hybrid of lasso and ridge regression.

Real-time Vision-based Depth Reconstruction with NVidia Jetson A robust hybrid of lasso and ridge regression

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.875977Z

Source-reported events for the cited work

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Observation 586170d4-7886-453d-ac92-d3a22c730be0 · outbound

This paper cites Cnn-slam: Real-time dense monocular slam with learned depth prediction.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Cnn-slam: Real-time dense monocular slam with learned depth prediction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.887141Z

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Observation f9a39f9e-6207-4c4f-b11c-eae3f01d7898 · outbound

This paper cites Megadepth: Learning single-view depth pre- diction from internet photos.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Megadepth: Learning single-view depth pre- diction from internet photos

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.855600Z

Source-reported events for the cited work

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Observation 8386de9c-25fd-4793-939a-c1c59c7460ae · outbound

This paper cites High Quality Monocular Depth Estimation via Transfer Learning.

Real-time Vision-based Depth Reconstruction with NVidia Jetson High Quality Monocular Depth Estimation via Transfer Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:54:54.651381Z

Source-reported events for the cited work

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Observation 329335e5-f9db-44db-ab80-af32da30d0c7 · outbound

This paper cites Design and implementation of autonomous car using raspberry pi.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Design and implementation of autonomous car using raspberry pi

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.846466Z

Source-reported events for the cited work

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Observation 53741708-8042-4a96-b12e-60ff6b10f743 · outbound

This paper cites An empirical eval- uation of grid-based path planning algorithms on widely used in robotics raspberry pi platform.

Real-time Vision-based Depth Reconstruction with NVidia Jetson An empirical eval- uation of grid-based path planning algorithms on widely used in robotics raspberry pi platform

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.884264Z

Source-reported events for the cited work

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Observation aa2194a1-cd7b-40d6-b7d6-784b35a14345 · outbound

This paper cites Low cost object sorting robotic arm using raspberry pi.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Low cost object sorting robotic arm using raspberry pi

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.890104Z

Source-reported events for the cited work

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Observation 9b8f40f5-a4c6-4fa4-a6c5-a8df7b437b36 · outbound

This paper cites Benchmarking of cnns for low-cost, low-power robotics applications.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Benchmarking of cnns for low-cost, low-power robotics applications

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.893189Z

Source-reported events for the cited work

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Observation b86e52b5-a0cf-45f9-9c01-ca8b5ddfda75 · outbound

This paper cites Svo: Fast semi-direct monocular visual odometry.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Svo: Fast semi-direct monocular visual odometry

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.896491Z

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.

Observation 588f43c6-2716-4d82-9f8f-419a22cffd12 · outbound

This paper cites Autonomous, vision-based ﬂight and live dense 3d mapping with a quadrotor micro aerial vehicle.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Autonomous, vision-based ﬂight and live dense 3d mapping with a quadrotor micro aerial vehicle

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.900232Z

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Observation bb01ba20-f363-4119-9ff1-be4b9584b4e9 · outbound

This paper cites ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.

Real-time Vision-based Depth Reconstruction with NVidia Jetson ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:54:54.646104Z

Source-reported events for the cited work

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Observation 22007c4d-750e-4c92-8ec9-e0b43ad02850 · outbound

This paper cites Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:54:54.640626Z

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.

Observation a6e212c4-b45d-402c-aee6-7fa9d924ce80 · outbound

This paper cites Redeye: analog convnet image sensor architecture for continuous mobile vi- sion.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Redeye: analog convnet image sensor architecture for continuous mobile vi- sion

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.878786Z

Source-reported events for the cited work

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Observation b677cb27-0009-4cd1-8eab-6ccac10aa4b3 · outbound

This paper cites Deep residual learning for image recognition.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Deep residual learning for image recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.862496Z

Source-reported events for the cited work

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Observation d8244951-55d5-41e9-a2c5-39341f746d24 · outbound

This paper cites Erfnet: Efﬁ- cient residual factorized convnet for real-time semantic segmentation.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Erfnet: Efﬁ- cient residual factorized convnet for real-time semantic segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.873025Z

Source-reported events for the cited work

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Observation e82165ed-052e-46f9-b08f-507cebb9d6fe · outbound

This paper cites Cautiousbug: a competitive algorithm for sensory-based robot navigation.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Cautiousbug: a competitive algorithm for sensory-based robot navigation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.881472Z

Source-reported events for the cited work

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Observation be83dfa0-5c9b-4e63-b35c-3ca35a80858a · outbound

This paper cites Towards uniﬁed depth and semantic prediction from a single image.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Towards uniﬁed depth and semantic prediction from a single image

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.840759Z

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

Observation 37f0dcb2-2081-43a3-9ec4-b4b35f8e71fb · outbound

This paper cites Tensorﬂow: A system for large-scale machine learning.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Tensorﬂow: A system for large-scale machine learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.843582Z

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

Observation 69ec16b8-4966-40ec-b926-ac7209178e2c · outbound

This paper cites Gulli and S.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Gulli and S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.849130Z

Source-reported events for the cited work

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Observation df04637a-f1c0-4905-8b16-2ff0089572ad · outbound

This paper cites Indoor seg- mentation and support inference from rgbd images.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Indoor seg- mentation and support inference from rgbd images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.852141Z

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.

Observation 538dc176-92d9-4224-b61c-adf11bf36ec9 · outbound

This paper cites Learning depth from single monocular images using deep convolutional neural ﬁelds.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Learning depth from single monocular images using deep convolutional neural ﬁelds

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.837751Z

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

Observation f749a0b3-1b49-4c7c-b522-3cdb6fa2fd74 · outbound

This paper cites Rtab-map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Rtab-map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.834809Z

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

Observation f8843b0d-5c55-4b7b-b3a8-dd1d419e3118 · outbound

This paper cites Sparse 3D point-cloud map upsampling and noise removal as a vSLAM post-processing step: Experimental evaluation.

Real-time Vision-based Depth Reconstruction with NVidia Jetson Sparse 3D point-cloud map upsampling and noise removal as a vSLAM post-processing step: Experimental evaluation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:54:55.858907Z

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

Pith citing papers

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