Paper Citation Record · LEDGER

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.16017.

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

pith.paper-citation-record.v1
2506.16017 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:05.680410Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

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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

30 of 30 outbound references displayed

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External citation measurements

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Outbound references

Observation 7312de93-b193-4029-babc-cf3e4eef9bf3 · outbound

This paper cites Real-time navigation for laparoscopic hepatectomy using image fusion of preoperative 3d surgical plan and intraoperative indocyanine green fluorescence imaging,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Real-time navigation for laparoscopic hepatectomy using image fusion of preoperative 3d surgical plan and intraoperative indocyanine green fluorescence imaging,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:06.618005Z

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

Observation 4d89bbac-8d0b-42e0-ba96-1613511b99bb · outbound

This paper cites Self-supervised lightweight depth estimation in endoscopy combining cnn and trans- former,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Self-supervised lightweight depth estimation in endoscopy combining cnn and trans- former,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:06.436537Z

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

Observation 5d1a8a5e-75ae-4178-a573-ad18e3707767 · outbound

This paper cites Bdis: Bayesian dense inverse searching method for real-time stereo surgical image matching,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Bdis: Bayesian dense inverse searching method for real-time stereo surgical image matching,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:06.280792Z

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Observation fc4e7a5b-0046-4117-bc9c-1d7195c6ba33 · outbound

This paper cites Msdesis: Multitask stereo disparity estimation and surgical instrument segmentation,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Msdesis: Multitask stereo disparity estimation and surgical instrument segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:06.130349Z

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

Observation dc52cb99-b1b5-429d-9956-dbfdea8a65cc · outbound

This paper cites Laparoscopic stereo matching using 3-dimensional fourier transform with full multi- scale features,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Laparoscopic stereo matching using 3-dimensional fourier transform with full multi- scale features,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:06.036082Z

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 bc537da8-a360-4a79-8328-b84fcaad3748 · outbound

This paper cites CGI-Stereo: Accurate and Real-Time Stereo Matching via Context and Geometry Interaction.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training CGI-Stereo: Accurate and Real-Time Stereo Matching via Context and Geometry Interaction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:05.589398Z

Source-reported events for the cited work

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Observation 2898dc97-f483-4f95-b1a5-8e1c3802ec67 · outbound

This paper cites Dual cnn models for unsupervised monocular depth estimation,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Dual cnn models for unsupervised monocular depth estimation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:06.015246Z

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 c8ca2552-157b-4799-a934-82f60c29d02d · outbound

This paper cites Structured attention guided convolutional neural fields for monocular depth estimation,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Structured attention guided convolutional neural fields for monocular depth estimation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.989830Z

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 5534af1e-4698-426f-b12b-8da4dee6d8de · outbound

This paper cites Unsupervised reverse domain adaptation for synthetic medical images via adversarial training,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Unsupervised reverse domain adaptation for synthetic medical images via adversarial training,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.971154Z

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 daced048-3147-4d18-bc97-72824123073d · outbound

This paper cites SLAM Endoscopy enhanced by adversarial depth prediction.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training SLAM Endoscopy enhanced by adversarial depth prediction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:05.605005Z

Source-reported events for the cited work

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Observation a943285a-87d5-4681-b360-ae29b8bf14c0 · outbound

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

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Monovit: Self-supervised monocular depth estimation with a vision transformer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.954578Z

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 96ee615f-4a25-4a2d-83aa-31139137bcd8 · outbound

This paper cites Lite-mono: A lightweight cnn and transformer architecture for self-supervised monocular depth estimation,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Lite-mono: A lightweight cnn and transformer architecture for self-supervised monocular depth estimation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.937442Z

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 3b4e5616-9df9-419c-8e6a-d0b8dc158a3f · outbound

This paper cites Monod- iffusion: self-supervised monocular depth estimation using diffusion model,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Monod- iffusion: self-supervised monocular depth estimation using diffusion model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.920957Z

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 facd46a7-b286-4fab-a30a-a064a2d7c955 · outbound

This paper cites Self- supervised monocular depth and ego-motion estimation in endoscopy: Appearance flow to the rescue,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Self- supervised monocular depth and ego-motion estimation in endoscopy: Appearance flow to the rescue,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.903673Z

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 fe2d6a87-1252-41c8-b4a8-45c5cd54c41a · outbound

This paper cites Image intrinsic-based unsupervised monocular depth estimation in endoscopy,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Image intrinsic-based unsupervised monocular depth estimation in endoscopy,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.886200Z

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 f7e4d8db-d872-405b-a340-201bacb18a8c · outbound

This paper cites Endodac: Efficient adapting foundation model for self-supervised depth estimation from any endoscopic camera,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Endodac: Efficient adapting foundation model for self-supervised depth estimation from any endoscopic camera,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:05.626112Z

Source-reported events for the cited work

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Observation a6e2ae08-4502-46b0-9112-47f93fc41cc6 · outbound

This paper cites Unsupervised odometry and depth learn- ing for endoscopic capsule robots,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Unsupervised odometry and depth learn- ing for endoscopic capsule robots,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.867772Z

Source-reported events for the cited work

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Observation 9384d29b-3b3f-4167-9b04-d85cb1e8578e · outbound

This paper cites Dense depth estimation in monocular endoscopy with self-supervised learning methods,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Dense depth estimation in monocular endoscopy with self-supervised learning methods,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:05.633746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd0e1af-deea-442f-9885-73ed0de657a5 · outbound

This paper cites Unsupervised-learning-based continuous depth and motion estimation with monocular endoscopy for virtual reality minimally invasive surgery,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Unsupervised-learning-based continuous depth and motion estimation with monocular endoscopy for virtual reality minimally invasive surgery,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.850270Z

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 9e3218d0-e178-4ad4-8dc5-f7f1bee9ad38 · outbound

This paper cites Endoslam dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Endoslam dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.838521Z

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 72ed633b-de3e-4772-9258-ec92454fc83b · outbound

This paper cites Self-supervised monocular depth estimation for gastrointestinal endoscopy,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Self-supervised monocular depth estimation for gastrointestinal endoscopy,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.827592Z

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 133ac135-02a7-482d-bbba-c94647187fa4 · outbound

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

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:05.649545Z

Source-reported events for the cited work

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Observation 7fcac9fa-96f1-4708-a75f-f1cb653d9357 · outbound

This paper cites Depth Anything V2.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Depth Anything V2

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:05.653401Z

Source-reported events for the cited work

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Observation e006f470-2981-4d18-891f-33664f0e6e2b · outbound

This paper cites Improved self-supervised monocular endoscopic depth estimation based on pose alignment-friendly dynamic view selection,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Improved self-supervised monocular endoscopic depth estimation based on pose alignment-friendly dynamic view selection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.809587Z

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 812b20d2-2ecc-4997-a038-90c1260e62ff · outbound

This paper cites Spatial transformer networks,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Spatial transformer networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.797723Z

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 b4605b2e-ed80-4273-b4d8-f78877dce02b · outbound

This paper cites Occlusion aware unsupervised learning of optical flow,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Occlusion aware unsupervised learning of optical flow,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.786585Z

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 eaad917d-746d-4dc1-9d90-cc630835c3b7 · outbound

This paper cites MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:50:05.725737Z

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 6262329d-2dbe-4855-9dbb-3d44eb69466a · outbound

This paper cites Endo-depth-and-motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints,.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Endo-depth-and-motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.776848Z

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 640dd76d-e4e6-40f4-91f8-cba1ccc5ee75 · outbound

This paper cites Stereo Correspondence and Reconstruction of Endoscopic Data Challenge.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:05.676743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 975205fb-0ba0-4538-bd5a-de7a963f401d · outbound

This paper cites Hamlyn centre laparoscopic / endoscopic video datasets.

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training Hamlyn centre laparoscopic / endoscopic video datasets

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:50:05.765007Z

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.

Pith citing papers

No inbound Pith citation observations are available.