Paper Citation Record · LEDGER

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.16154.

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

pith.paper-citation-record.v1
2505.16154 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:37.041730Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

38 of 38 outbound references displayed

verified exact3
verified fuzzy26
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aea5ff99-0544-418c-a0fc-639ccbb0287c · outbound

This paper cites Monoc- ular depth estimation: A thorough review.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Monoc- ular depth estimation: A thorough review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.527642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df6ef780-d689-49d8-806c-644a5d0406b7 · outbound

This paper cites Baddet: Backdoor attacks on object detection.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Baddet: Backdoor attacks on object detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.406000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfd15946-2786-4fc8-93a6-cf1495e04167 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:34.183982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec1b5fa-0289-4702-a1df-9649f1e42d85 · outbound

This paper cites Physical attack on monocular depth estimation with optimal adversarial patches.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Physical attack on monocular depth estimation with optimal adversarial patches

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.197944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8518a3eb-fb17-476d-9ac5-f38db0dce771 · outbound

This paper cites Lira: Learnable, imperceptible and robust backdoor attacks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Lira: Learnable, imperceptible and robust backdoor attacks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.012772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4784c15c-3e44-4ee8-a725-8b33092bb854 · outbound

This paper cites Towards real-time monocular depth estimation for robotics: A survey.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Towards real-time monocular depth estimation for robotics: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:41.752295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 60150c18-4a7f-4b2e-aa4a-4f73e92a4a25 · outbound

This paper cites Depth Map Prediction from a Single Image using a Multi-Scale Deep Network.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:34.502051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9a9b244-7794-4363-8fbe-7eac37c076bd · outbound

This paper cites Strip: A defence against trojan attacks on deep neural networks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Strip: A defence against trojan attacks on deep neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:41.505262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5bbf7717-556d-42f1-99f6-5723eeb2830d · outbound

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

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:41.228485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dd2d011d-02be-419b-a31a-6386da8c8dff · outbound

This paper cites Badnets: Evaluating backdooring attacks on deep neural networks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Badnets: Evaluating backdooring attacks on deep neural networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:34.733035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b96ca8-848e-4f22-9032-691e0ea9bb77 · outbound

This paper cites Saam: Stealthy adversarial attack on monocular depth estimation.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Saam: Stealthy adversarial attack on monocular depth estimation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:41.031678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5b091016-0f47-46cb-97d7-7a8a45c5d8b1 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Benchmarking neural network robustness to common corruptions and perturbations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.901842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c2832b8-6f87-49ef-9cbe-f6c7392873a5 · outbound

This paper cites Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:09:37.921174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a75c3d1d-e495-4ab6-a581-cc2d806ebf6e · outbound

This paper cites Backdoor Attacks against Image-to-Image Networks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Backdoor Attacks against Image-to-Image Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:35.076988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf97db63-b6a7-4a9d-bad7-80d1e6ff46cb · outbound

This paper cites Color backdoor: A robust poisoning attack in color space.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Color backdoor: A robust poisoning attack in color space

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.769874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ecca2751-e44d-4fad-b137-3eec29525a93 · outbound

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

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:35.283199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a26c7a1-c082-4bb1-abd3-189ddb516301 · outbound

This paper cites Backdoor learning: A survey.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Backdoor learning: A survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.609917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6cfb63a-de6c-467a-ab46-5fe460d7c763 · outbound

This paper cites Backdoor Attack in the Physical World.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Backdoor Attack in the Physical World

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:35.446689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66483dc8-3c03-4f1b-906d-cee1d9dd7e89 · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Fine-pruning: Defending against backdooring attacks on deep neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.486735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac953e20-2753-4e42-94ae-0052c87d1e65 · outbound

This paper cites Reflection backdoor: A natural backdoor attack on deep neural networks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Reflection backdoor: A natural backdoor attack on deep neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.377240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7138817e-92ca-4619-9f1b-2f5b705cfaa4 · outbound

This paper cites Untargeted backdoor attack against object detection.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Untargeted backdoor attack against object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.270556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e83fe9b-fcaa-43be-a1a8-ae5db5e4e742 · outbound

This paper cites Image segmentation using deep learning: A survey.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Image segmentation using deep learning: A survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:35.782092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 771de721-ad2f-4ca3-a00a-eea9d1c96a77 · outbound

This paper cites WaNet -- Imperceptible Warping-based Backdoor Attack.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World WaNet -- Imperceptible Warping-based Backdoor Attack

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:35.884528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0b5f00-8389-4188-9cc8-06af07f3d5a6 · outbound

This paper cites High- quality depth map upsampling and completion for rgb-d cameras.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World High- quality depth map upsampling and completion for rgb-d cameras

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.162919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2006caa5-decf-4fe8-b0a9-058810a85754 · outbound

This paper cites Robust Backdoor Attacks on Object Detection in Real World.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Robust Backdoor Attacks on Object Detection in Real World

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:09:37.628907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a666ca5-f7eb-43a0-aaf5-0e973c92122c · outbound

This paper cites Mgnet: Monocular geometric scene understanding for autonomous driving.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Mgnet: Monocular geometric scene understanding for autonomous driving

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.010813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 952644d1-22d4-466c-bae9-2dac96713a8e · outbound

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

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Iebins: Iterative elastic bins for monocular depth estimation and completion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.868857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 605bcaeb-579b-4c4e-ae1a-8604a1403091 · outbound

This paper cites Neural cleanse: Identifying and mitigating backdoor attacks in neural networks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Neural cleanse: Identifying and mitigating backdoor attacks in neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.731052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4305f485-812e-4ab4-81d5-d5ccfae30283 · outbound

This paper cites DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:36.327826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e69859-8402-4b78-a8be-be05faa0f3fe · outbound

This paper cites Absolute monocular depth estimation on robotic visual and kinematics data via self-supervised learning.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Absolute monocular depth estimation on robotic visual and kinematics data via self-supervised learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.592831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a5f39c20-5477-43d2-a697-b7e4b4ce0a39 · outbound

This paper cites Backdoor attacks against deep learning systems in the physical world.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Backdoor attacks against deep learning systems in the physical world

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.450700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 26aa5751-5833-4f03-b444-7a915f652530 · outbound

This paper cites Robust backdoor attacks against deep neural networks in real physical world.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Robust backdoor attacks against deep neural networks in real physical world

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.300938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53874e6d-4ab6-46ed-9261-cbfbc208de90 · outbound

This paper cites Ptb: Robust physical backdoor attacks against deep neural networks in real world.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Ptb: Robust physical backdoor attacks against deep neural networks in real world

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.159444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b46b50b-93ea-4c61-981f-6f858a4355b2 · outbound

This paper cites Compression-resistant backdoor attack against deep neural networks.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Compression-resistant backdoor attack against deep neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:38.977481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c59b7e2-e3c6-4c56-bd7b-0cb42b635005 · outbound

This paper cites Badrefsr: Backdoor attacks against reference-based image super resolution.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Badrefsr: Backdoor attacks against reference-based image super resolution

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:38.787712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 83f192ed-74b7-476f-8f69-14f9494a50a6 · outbound

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

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Neural window fully- connected crfs for monocular depth estimation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:38.504719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09b74c2d-e1e7-4a27-b343-4cb53821f3f1 · outbound

This paper cites Adversarial Attacks on Monocular Depth Estimation.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Adversarial Attacks on Monocular Depth Estimation

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:09:37.309532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 879f091e-cc7d-422f-a4b9-9dc275e63e6b · outbound

This paper cites Physical 3d adversarial attacks against monocular depth estimation in autonomous driving.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World Physical 3d adversarial attacks against monocular depth estimation in autonomous driving

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:38.202963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.