Paper Citation Record · LEDGER

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2608.00415.

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

pith.paper-citation-record.v1
2608.00415 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:17:02.004822Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy10
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0222ee9-acb7-43d3-aaca-24dbc0041d3d · outbound

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

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.934584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb4e78a-003b-4963-8341-9c3dfa304189 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment A Survey on Mixture of Experts in Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.938988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8890bc75-6660-4a50-b973-63325c263828 · outbound

This paper cites IEEE Transactions on Medical Imaging40(1), 371–380 (2020).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment IEEE Transactions on Medical Imaging40(1), 371–380 (2020)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.209652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18c7b57b-eebd-4b1b-93e7-e49b651f91ee · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.947036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe99aa8-c137-4695-876d-d62c504b0e50 · outbound

This paper cites Medical image analysis76, 102302 (2022).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment Medical image analysis76, 102302 (2022)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.192707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6091f192-5d75-40e3-8542-812a38852b51 · outbound

This paper cites an unresolved cited work.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T04:17:02.182647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0deccab-9797-4f05-a22a-72b7d6575181 · outbound

This paper cites In: Proceedings of the IEEE/CVF in- ternational conference on computer vision.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: Proceedings of the IEEE/CVF in- ternational conference on computer vision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.958568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2535f3c2-095b-4b99-9c69-2a2eb3f57130 · outbound

This paper cites In: International Conference on Learning Representations (2022), https://openreview.net/forum?id=nZeVKeeFYf9.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: International Conference on Learning Representations (2022), https://openreview.net/forum?id=nZeVKeeFYf9

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.166353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc8ec360-3a85-437e-850b-e772a42b253a · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics pp.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment IEEE Journal of Biomedical and Health Informatics pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.156004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6990d96-c7d9-4cb1-93c2-4f683c3953c6 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.144782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25ca23c5-d13c-41da-9648-f1c5ba0b4f4a · outbound

This paper cites Medical image analysis71, 102058 (2021).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment Medical image analysis71, 102058 (2021)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.973056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151ba865-3d83-48ef-8414-e06281ae5896 · outbound

This paper cites IEEE Robotics and Automation Letters6(4), 7225– 7232 (2021).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment IEEE Robotics and Automation Letters6(4), 7225– 7232 (2021)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.127314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9127f0f-5c7e-4446-a65b-1fd9e4b308dc · outbound

This paper cites Medical image analysis77, 102338 (2022).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment Medical image analysis77, 102338 (2022)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.980402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1f0d88-7767-4247-8b83-eba432c42912 · outbound

This paper cites Medical Image Analysis102, 103534 (2025).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment Medical Image Analysis102, 103534 (2025)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.983696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d90d194f-79e9-4562-9760-8283869538fa · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.105009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57646da5-0430-4e08-bd0d-4b2a70084cd0 · outbound

This paper cites Advances in Neural Information Processing Systems37, 21875–21911 (2024).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment Advances in Neural Information Processing Systems37, 21875–21911 (2024)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:01.990704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18ae2b2c-3ed0-4e46-8dbe-6cd927949c1e · outbound

This paper cites IEEE Transactions on Medical Imaging43(5), 1934–1944 (2024).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment IEEE Transactions on Medical Imaging43(5), 1934–1944 (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.088558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1aac43f8-95a4-470b-b7cc-4a7f382e1dea · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion.

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.075802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 97e7a786-f2f3-456c-a750-0eed609c8f68 · outbound

This paper cites In: 2022 international conference on 3D vision (3DV).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: 2022 international conference on 3D vision (3DV)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:02.001239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8c78e3-9082-412e-8979-e17625a6be25 · outbound

This paper cites In: 2024 IEEE International Conference on Bioin- formatics and Biomedicine (BIBM).

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment In: 2024 IEEE International Conference on Bioin- formatics and Biomedicine (BIBM)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:17:02.058605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.