Paper Citation Record · LEDGER

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving

As of 6 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2508.13977.

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

pith.paper-citation-record.v1
2508.13977 v3

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T23:25:59.908437Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:49:42.015902Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:49:42.126514Z

Reference resolution

54 of 54 outbound references displayed

verified exact8
verified fuzzy46
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5758d78b-5ec9-4871-9afe-c5a8c153fcca · outbound

This paper cites Diffusiondepth: Diffusion denoising approach for monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Diffusiondepth: Diffusion denoising approach for monocular depth estimation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.211364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ba59c48b-25c3-48c1-847e-964f73fa174e · outbound

This paper cites OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.240159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 90cd1f52-ba74-4bf4-b578-1b893bcd0ff6 · outbound

This paper cites Lightstereo: Channel boost is all you need for efficient 2d cost aggregation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Lightstereo: Channel boost is all you need for efficient 2d cost aggregation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.218344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ef205b00-6919-4eb0-a28c-fe1b7ff3977b · outbound

This paper cites Stereo anything: Unifying stereo matching with large-scale mixed data.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Stereo anything: Unifying stereo matching with large-scale mixed data

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.244759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c8f2c84-8929-43c1-b32b-f9ff4fa640bc · outbound

This paper cites Assess- ing depth perception in vr and video see-through ar: A comparison on distance judgment, performance, and preference.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Assess- ing depth perception in vr and video see-through ar: A comparison on distance judgment, performance, and preference

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.214785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 630490da-17af-4fb9-a86d-23e22005e2ae · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.221909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 90ba185a-d660-4b1b-847b-4e61b72dd8c6 · outbound

This paper cites Object scene flow for autonomous vehicles.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Object scene flow for autonomous vehicles

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.224661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5d5e4d4-2907-473b-9b42-5763f3947cb3 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving nuscenes: A multimodal dataset for autonomous driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.228271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c15328b-36bb-4987-84b1-f898e1402fdb · outbound

This paper cites Sparsity invariant cnns.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Sparsity invariant cnns

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.912790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0b4c0b08-2d08-4f76-beb5-28905abfea97 · outbound

This paper cites Monovit: Self-supervised monocular depth estimation with a vision transformer.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Monovit: Self-supervised monocular depth estimation with a vision transformer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.906709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f2f33bb2-3562-4a0c-8783-09f7207d52bd · outbound

This paper cites A simple baseline for supervised surround-view depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving A simple baseline for supervised surround-view depth estimation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.945651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 99e7e906-9150-48b8-a7fd-b0bd2e7ba417 · outbound

This paper cites Indoor segmentation and support inference from RGBD images.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Indoor segmentation and support inference from RGBD images

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.941677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a105680d-7e1c-4c4e-bdf9-554caa898546 · outbound

This paper cites ScanNet: Richly-annotated 3d reconstructions of indoor scenes.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving ScanNet: Richly-annotated 3d reconstructions of indoor scenes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.913867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 15b91a17-6630-41a2-9f43-9baac86a7609 · outbound

This paper cites MegaDepth: Learning single-view depth prediction from internet photos.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving MegaDepth: Learning single-view depth prediction from internet photos

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.930927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d34a7b44-a65c-40d0-8fed-f24603b2e1ec · outbound

This paper cites A benchmark for the evaluation of RGB-D SLAM systems.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving A benchmark for the evaluation of RGB-D SLAM systems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.920280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4775a96-4ef4-4158-bf1d-609184a777d7 · outbound

This paper cites SceneNet RGB-D: Can 5m synthetic images beat generic imagenet pre-training on indoor segmentation?.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving SceneNet RGB-D: Can 5m synthetic images beat generic imagenet pre-training on indoor segmentation?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.911936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2f146a0b-8332-4533-b242-f7a272d30fd9 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving The cityscapes dataset for semantic urban scene understanding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.892070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation db492fe0-158f-42f5-aca6-66f40a15cfba · outbound

This paper cites 1 Year, 1000km: The Oxford RobotCar Dataset.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving 1 Year, 1000km: The Oxford RobotCar Dataset

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.935310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b443cb23-7753-420b-a11b-86cd563bed9d · outbound

This paper cites Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.907710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a1e94f5b-7b0f-4a8b-9787-4f48757505e2 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Scalability in perception for autonomous driving: Waymo open dataset

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.926240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0071cc07-609d-43a3-9b44-dc791b8e539f · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.898326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 61619aee-8533-4b0e-baef-655b5a75da56 · outbound

This paper cites Depth Anything V2.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Depth Anything V2

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:30:46.219519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1a14a77d-e0e3-457e-8e06-e2fd5dba1814 · outbound

This paper cites Open challenges in deep stereo: the booster dataset.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Open challenges in deep stereo: the booster dataset

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.894030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7dc7e1ec-c7b2-4ccc-bc34-280c26f0e27a · outbound

This paper cites Booster: a benchmark for depth from images of specular and transparent surfaces.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Booster: a benchmark for depth from images of specular and transparent surfaces

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.921577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 38bab078-e4d4-42d6-a238-68afc6f7dc81 · outbound

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

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Depth map prediction from a single image using a multi-scale deep network

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.947587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 00d81e9a-104b-4a7f-b2b7-f701e9d2f615 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Deep ordinal regression network for monocular depth estimation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.939514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 94811c05-06fe-426a-be7c-8fbd3ee3fae8 · outbound

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

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Deeper depth prediction with fully convolutional residual networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.908691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3ff5516a-6f01-45fa-a1b0-8d4d1cf9504c · outbound

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

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Learning depth from single monocular images using deep convolutional neural fields

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.917263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ba482846-04ff-41cf-ba43-e2a2e5fbe08e · outbound

This paper cites P3Depth: Monocular depth estimation with a piecewise planarity prior.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving P3Depth: Monocular depth estimation with a piecewise planarity prior

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.924229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6a74bfa4-27fe-4777-8429-f57f07fd5943 · outbound

This paper cites Transformer-based attention networks for continuous pixel-wise prediction.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Transformer-based attention networks for continuous pixel-wise prediction

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.879789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a6ece05f-efd6-4b54-9dc3-b87a97ff5f62 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Adabins: Depth estimation using adaptive bins

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.247442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e80cfd60-e676-4a3d-99b2-d28c5a3c5075 · outbound

This paper cites Neural window fully- connected crfs for monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Neural window fully- connected crfs for monocular depth estimation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.244528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dad703d7-fd09-4ae4-8c80-6a093d92abed · outbound

This paper cites iDisc: Internal discretization for monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving iDisc: Internal discretization for monocular depth estimation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.241532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c3a7dbaa-7550-462f-8b0a-ca470919f949 · outbound

This paper cites Vision transformers for dense prediction.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Vision transformers for dense prediction

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.238408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 00c73f55-f646-451b-9699-08032ede0311 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Depth anything: Unleashing the power of large-scale unlabeled data

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.235223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5f88409-63d7-4a61-84ae-6b8296129bb6 · outbound

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

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:30:46.215294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c1c0cff0-f1dd-41cf-94fb-34b8878ad92a · outbound

This paper cites Towards zero-shot scale-aware monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Towards zero-shot scale-aware monocular depth estimation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:30:47.231610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0cacc5df-84fc-48a6-bc56-6f2bb5b88561 · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.937581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0e64315b-7411-43ea-b8c4-3d442c241b16 · outbound

This paper cites Cam-convs: Camera-aware multi-scale convolutions for single-view depth.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Cam-convs: Camera-aware multi-scale convolutions for single-view depth

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.924049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c083f596-3950-4200-8891-0533b8743447 · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.235798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e62f4752-7554-4407-b944-326ed086eb16 · outbound

This paper cites Mapillary planet-scale depth dataset.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Mapillary planet-scale depth dataset

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.949338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2678cc4d-a30d-4502-9653-eedead9b339e · outbound

This paper cites The monocular depth estimation challenge.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving The monocular depth estimation challenge

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.884176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 26d694a7-3f70-4589-8b00-c0952ef898f1 · outbound

This paper cites The second monocular depth estimation challenge.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving The second monocular depth estimation challenge

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.900616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0932bea7-5820-4c26-891f-254d7c915856 · outbound

This paper cites The third monocular depth estimation challenge.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving The third monocular depth estimation challenge

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.896524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1d037f55-23d4-4236-83bc-3411c90daa52 · outbound

This paper cites The fourth monocular depth estimation challenge.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving The fourth monocular depth estimation challenge

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.919388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 593ac7aa-2691-4231-b65a-ae5686c92b5c · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Repurposing diffusion-based image generators for monocular depth estimation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.943851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c63d059-8cbb-4409-990d-50c22c8164af · outbound

This paper cites VA-DepthNet: A Variational Approach to Single Image Depth Prediction.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.231979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a39a59a1-d536-47c2-8872-230333e01fc0 · outbound

This paper cites 3d packing for self-supervised monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving 3d packing for self-supervised monocular depth estimation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.918212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a6e10031-4bdc-4835-be40-d4984362943a · outbound

This paper cites Dcdepth: Progressive monocular depth estimation in discrete cosine domain.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Dcdepth: Progressive monocular depth estimation in discrete cosine domain

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.922182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 83df57bb-bda6-429d-a7c1-67be32c0d73c · outbound

This paper cites Iebins: Iterative elastic bins for monocular depth estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Iebins: Iterative elastic bins for monocular depth estimation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.933083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d34bdbe6-9d7a-48f4-a3bf-dae92a8654af · outbound

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

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:30:46.227713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 373698f9-6e09-4b53-a2a7-744e3f523776 · outbound

This paper cites UniK3D: Universal camera monocular 3d estimation.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving UniK3D: Universal camera monocular 3d estimation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.928395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a809ccdc-dcee-451a-9087-3faf691b4b00 · outbound

This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:30:46.223579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 93cc92b0-27a8-455e-95bb-60732df88226 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving Swin transformer: Hierarchical vision transformer using shifted windows

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T23:34:26.926539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 45e3b114-dd80-4bf0-8a02-e1ca2e8a643a · inbound

OmViD: Omni-supervised active learning for video action detection cites this paper.

OmViD: Omni-supervised active learning for video action detection ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:49:42.178695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.