Paper Citation Record · LEDGER

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization

As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2509.14839.

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

pith.paper-citation-record.v1
2509.14839 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:20:25.537783Z

measured 42 of 42 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 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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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 529beb4b-08f3-4b22-abe3-c86b8ea8206c · outbound

This paper cites Zoedepth: Zero-shot transfer by com- bining relative and metric depth.arXiv preprint, 2023.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Zoedepth: Zero-shot transfer by com- bining relative and metric depth.arXiv preprint, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:19.321800Z

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Observation f90e192c-6641-4d50-acab-ead89db05ecc · outbound

This paper cites Depth pro: Sharp monocular metric depth in less than a second.arXiv preprint, 2024.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Depth pro: Sharp monocular metric depth in less than a second.arXiv preprint, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:19.431181Z

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Observation 997348f8-79ec-4d0b-9cc8-326f2fb876e8 · outbound

This paper cites Wegner, and Jo˜ao P.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Wegner, and Jo˜ao P

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:19.574502Z

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Observation 09fa68b0-0de2-492a-b756-a38a8038d219 · outbound

This paper cites From Google Maps to a fine-grained catalog of street trees.ISPRS Journal of Photogrammetry and Remote Sensing, 135, 2018.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization From Google Maps to a fine-grained catalog of street trees.ISPRS Journal of Photogrammetry and Remote Sensing, 135, 2018

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:19.774106Z

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Observation eea7549e-d3e4-4667-833a-9f3cfa913699 · outbound

This paper cites Humenberger.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Humenberger

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:19.985400Z

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Observation 4c190d0e-61a2-4cd4-8e68-49c75e8af430 · outbound

This paper cites De- tecting and mapping traffic signs from google street view im- ages using deep learning and gis.Computers, Environment and Urban Systems, 77, 2019.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization De- tecting and mapping traffic signs from google street view im- ages using deep learning and gis.Computers, Environment and Urban Systems, 77, 2019

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:20.127308Z

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Observation e58361be-902d-4de9-af71-1a49223ddcb6 · outbound

This paper cites Crowd-sourced pic- tures geo-localization method based on street view images and 3D reconstruction.ISPRS Journal of Photogrammetry and Remote Sensing, 141, 2018.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Crowd-sourced pic- tures geo-localization method based on street view images and 3D reconstruction.ISPRS Journal of Photogrammetry and Remote Sensing, 141, 2018

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:20.274135Z

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Observation b93c275a-0954-420d-969f-06ca9c11f780 · outbound

This paper cites The cityscapes dataset.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization The cityscapes dataset

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:20.441678Z

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Observation 0c6e64a8-3796-4ee8-b00b-0c22baa2701f · outbound

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

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Depth map prediction from a single image using a multi-scale deep net- work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:20.612447Z

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Observation 648bfb8f-f639-4439-89e4-aa1d34b0fdad · outbound

This paper cites an unresolved cited work.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:20.749935Z

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Observation d49b032a-f97b-46c2-8cdf-3a22d706496d · outbound

This paper cites A2d2: Audi autonomous driving dataset.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization A2d2: Audi autonomous driving dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:20.980043Z

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Observation 1e461a08-1388-44b1-bafd-7d61c125b2ae · outbound

This paper cites Bros- tow.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Bros- tow

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:21.233993Z

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Observation f7d1dc87-0284-4707-af0c-186283758141 · outbound

This paper cites Telecom inventory man- agement via object recognition and localisation on google street view images.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Telecom inventory man- agement via object recognition and localisation on google street view images

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:21.455751Z

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Observation 788f0d4a-7312-4894-b6bb-577c0153bc7b · outbound

This paper cites Xiaoyan Zhang, Zhipeng Cai, Xi- aoxiao Long, Hao Chen, Kaixuan Wang, Gang Yu, Chunhua Shen, and Shaojie Shen.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Xiaoyan Zhang, Zhipeng Cai, Xi- aoxiao Long, Hao Chen, Kaixuan Wang, Gang Yu, Chunhua Shen, and Shaojie Shen

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:21.587024Z

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Observation 15a1ab7a-4957-407d-815a-8acb17941eb5 · outbound

This paper cites Krylov and Rozenn Dahyot.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Krylov and Rozenn Dahyot

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:21.782695Z

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Observation b1907dd8-5e6f-43da-a460-7015b10e1a70 · outbound

This paper cites Krylov, Eamonn Kenny, and Rozenn Dahyot.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Krylov, Eamonn Kenny, and Rozenn Dahyot

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:21.869304Z

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Observation 500bd28a-84e4-443c-a58e-dc7dc703f8cb · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:22.051627Z

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Observation d663af9f-53a0-4f40-b864-140989c68b31 · outbound

This paper cites Keypoint3d: Keypoint-based and anchor-free 3d object detection for autonomous driving with monocular vision.Remote Sensing, 2023.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Keypoint3d: Keypoint-based and anchor-free 3d object detection for autonomous driving with monocular vision.Remote Sensing, 2023

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:22.215191Z

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Observation b828fcbd-da5a-471f-8d84-c1fafbf4213c · outbound

This paper cites Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:22.368155Z

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Observation d2f78f4f-6d98-4379-a85c-7ef5c735eb6d · outbound

This paper cites Rashwan, Juli ´an Cristiano, M.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Rashwan, Juli ´an Cristiano, M

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:22.510831Z

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Observation a9cf9e98-f7d4-4ce5-a30f-d86dabc63f52 · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization The mapillary vistas dataset for semantic understanding of street scenes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:22.683215Z

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Observation c1497ae7-52af-41bd-a8f8-e96194dca86c · outbound

This paper cites Towards detecting building facades with graffiti artwork based on street view images.ISPRS Inter- national Journal of Geo-Information, 9, 2020.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Towards detecting building facades with graffiti artwork based on street view images.ISPRS Inter- national Journal of Geo-Information, 9, 2020

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:22.838108Z

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Observation f1a46468-4b2f-48e1-ab0a-dff057177f12 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.CVPR, 2024.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Unidepth: Universal monocular metric depth estimation.CVPR, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:23.053373Z

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Observation 58aab4f7-2d0d-4aa6-b8df-1d47f5ddb79b · outbound

This paper cites Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:23.331695Z

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Observation 9150ad28-46f1-40a7-bb03-c122a813d0f7 · outbound

This paper cites Monogrnet: A geo- metric reasoning network for monocular 3d object localiza- tion.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Monogrnet: A geo- metric reasoning network for monocular 3d object localiza- tion

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:23.506124Z

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Observation eed2e5ce-58e6-4896-8caa-387a947f7f81 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 44, 2020.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 44, 2020

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:23.758305Z

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Observation 7b1f2814-be5c-4106-a8b9-a71da2c90752 · outbound

This paper cites Manhole detection using image processing on google street view imagery.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Manhole detection using image processing on google street view imagery

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:23.902678Z

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Observation 1f3681c1-6989-46a1-896d-c97f488a30d2 · outbound

This paper cites Wegner, Steve Branson, David Hall, Konrad Schindler, and Pietro Perona.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Wegner, Steve Branson, David Hall, Konrad Schindler, and Pietro Perona

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:24.078543Z

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Observation 8f1ada3d-da6f-47d2-9bfb-57b1cbbe4a43 · outbound

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

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Depth anything: Unleashing the power of large-scale unlabeled data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:24.244449Z

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Observation 0d2bd5bd-738d-4e85-9c1a-f748ece8eb70 · outbound

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

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:24.388299Z

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Observation 9a6f29d4-7ea2-4418-a57c-d0caaf1f1da0 · outbound

This paper cites Safdnet: A simple and effective network for fully sparse 3d object detection.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Safdnet: A simple and effective network for fully sparse 3d object detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:24.480422Z

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Observation d3149ae4-298c-435a-a54c-53c39f170dc4 · outbound

This paper cites Scaledepth: Decomposing metric depth estimation into scale prediction and relative depth estimation.arXiv preprint, 2024.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Scaledepth: Decomposing metric depth estimation into scale prediction and relative depth estimation.arXiv preprint, 2024

Reference 32

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Observation cb3679f7-c326-4a6e-8a4f-79f74c2c877b · outbound

This paper cites Semantic Groups for twelve of the sample images.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Semantic Groups for twelve of the sample images

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:24.690148Z

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Observation c45b36e9-6577-4b87-bd30-a07ecd86dc25 · outbound

This paper cites Absolute Relative Error (ARE) for different depth estimation models on the same example image.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Absolute Relative Error (ARE) for different depth estimation models on the same example image

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:24.788803Z

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Observation 57a02ed5-708e-4603-8cb9-15188604aca7 · outbound

This paper cites Mean Absolute Error (MAE) for different depth estimation models on the same example image.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Mean Absolute Error (MAE) for different depth estimation models on the same example image

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:24.907140Z

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Observation f515ced5-961e-409d-bbae-0674ae979ffc · outbound

This paper cites an unresolved cited work.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:25.009033Z

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Observation 69f5d19c-91f2-4eb7-aa15-8c14554fcdab · outbound

This paper cites an unresolved cited work.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:25.129835Z

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Observation b030b856-a6d5-428d-a06d-789759750b94 · outbound

This paper cites an unresolved cited work.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:25.204951Z

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Observation 7c7a3ccd-ab1a-40c7-8cb0-e6b65b833938 · outbound

This paper cites an unresolved cited work.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:25.266044Z

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Observation 022c0067-4146-480c-be1f-cfab2b975d1b · outbound

This paper cites We annotated 100 images of our Cyclomedia dataset and calculated the Intersection over Union (IoU) between the annotated and the predicted masks for each image.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization We annotated 100 images of our Cyclomedia dataset and calculated the Intersection over Union (IoU) between the annotated and the predicted masks for each image

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:25.333861Z

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Observation 49859b7b-da7f-44b7-8ae0-14f13d3d20ae · outbound

This paper cites an unresolved cited work.

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:25.457430Z

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Observation 6078e136-34b2-48b8-91c0-19ff915e867e · outbound

This paper cites The box plots show the relationship between the error of the position (y-axis) and the true distance between road damage and camera (x-axis).

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization The box plots show the relationship between the error of the position (y-axis) and the true distance between road damage and camera (x-axis)

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:25.537783Z

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Pith citing papers

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