Paper Citation Record · LEDGER

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data

As of 23 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2501.04735.

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

pith.paper-citation-record.v1
2501.04735 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:53.873891Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:27:02.122728Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:27:02.167413Z

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy5
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46daf10a-e972-496e-8462-8d4f2a76b4e7 · outbound

This paper cites G., Opfermann, J., Wang, Y., Kaluna, J., Krieger, A., and Kang, J.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data G., Opfermann, J., Wang, Y., Kaluna, J., Krieger, A., and Kang, J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:54.098664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f8488d4-a853-4d68-8bff-6636db84e554 · outbound

This paper cites U., and Gensheimer, W.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data U., and Gensheimer, W

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:54.078357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9274e987-28e2-4102-947f-82571530e505 · outbound

This paper cites S., Li, K., Yu, J., Liu, X., Kang, J.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data S., Li, K., Yu, J., Liu, X., Kang, J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:54.057005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 36090a17-494a-4f51-b840-ee8b99216b09 · outbound

This paper cites an unresolved cited work.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:42:54.037134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf7ef5c6-c630-4b1c-8400-f5efce77cec8 · outbound

This paper cites D., Kaluna, J., Gensheimer, B.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data D., Kaluna, J., Gensheimer, B

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:54.017378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76fb26c5-4734-4c44-a738-0f8fccea52e3 · outbound

This paper cites an unresolved cited work.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:42:53.994141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f727649-7da5-4e27-be8b-39d7c9051cf9 · outbound

This paper cites D., Wang, Y., Kang, J.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data D., Wang, Y., Kang, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:53.974573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d62693d-b157-4bc2-8192-7e0782fe554e · outbound

This paper cites Reimagining partial thickness keratoplasty: An eye mountable robot for autonomous big bubble needle insertion.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data Reimagining partial thickness keratoplasty: An eye mountable robot for autonomous big bubble needle insertion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:53.860606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3def7b03-8eab-4078-ba81-c159931bc793 · outbound

This paper cites an unresolved cited work.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:42:53.952361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3dbc97cf-6145-4566-9439-6cb323170b23 · outbound

This paper cites write newline.

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data write newline

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:53.873891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation bfa9626a-b35d-4b84-a4cf-c26d7dccfa94 · inbound

Kalman filter/deep-learning hybrid automatic boundary tracking of optical coherence tomography data for deep anterior lamellar keratoplasty (DALK) cites this paper.

Kalman filter/deep-learning hybrid automatic boundary tracking of optical coherence tomography data for deep anterior lamellar keratoplasty (DALK) Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:27:02.175956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.