Paper Citation Record · LEDGER

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.00519.

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

pith.paper-citation-record.v1
2507.00519 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:19:21.741707Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy19
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c1f8784-8aed-4207-a731-3fab5d5e5a83 · outbound

This paper cites MedIA99, 103371 (2025).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection MedIA99, 103371 (2025)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.509073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 171784b6-268a-4998-b0f8-c324823bac1b · outbound

This paper cites In: ECCV (2022).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: ECCV (2022)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.374749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b7cd046d-6c30-441d-8b1c-bf1e121d4c72 · outbound

This paper cites Procedia Computer Science 246, 4951–4958 (2024).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection Procedia Computer Science 246, 4951–4958 (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.006095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fc349c3-a922-49b3-9cf7-1531cc2db5e1 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:18.868793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d6247f-65f5-48f6-a5fe-cae789046ee6 · outbound

This paper cites In: IEEE ICCV.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: IEEE ICCV

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:26.646109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc24c84e-cef4-4272-9d4a-fc9723bdc59b · outbound

This paper cites IEEE TMI 40(1), 371–380 (2020).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection IEEE TMI 40(1), 371–380 (2020)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:26.330591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8beb49a-a65d-459e-b262-5441d4a763a1 · outbound

This paper cites American Mathematical Soc.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection American Mathematical Soc

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:19.211287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 528eaf00-2a9c-4a00-af15-8e5360941e24 · outbound

This paper cites Annals of surgery267(2), 199–207 (2018).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection Annals of surgery267(2), 199–207 (2018)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:25.969206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8b05114-73e3-483e-8c16-b69e28400b9d · outbound

This paper cites Surgical Endoscopy pp.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection Surgical Endoscopy pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:25.629212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a7b12bb-45a0-4e9f-bd47-5c33d6b85691 · outbound

This paper cites In: IEEE CVPR.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: IEEE CVPR

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:25.273621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 858d099c-5551-4447-a495-6626a844ceec · outbound

This paper cites How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:19.711669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b092f0a-e641-4f62-a508-409f7e869cdc · outbound

This paper cites IEEE TAI (2024).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection IEEE TAI (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:24.932547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 390bb664-35ea-4d69-955e-61af32da570b · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:19.973501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6306cd-441d-4ad9-8dfe-10e205150599 · outbound

This paper cites In: MIDL (2023).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: MIDL (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:24.552938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00958f39-f9d3-4a02-8a6f-d63ad1807e59 · outbound

This paper cites IJCARS 17(8), 1429–1436 (2022).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection IJCARS 17(8), 1429–1436 (2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:24.263923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c6bba847-41ef-431f-9c5f-223a73faa7ad · outbound

This paper cites In: MICCAI.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: MICCAI

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:24.027086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bfd8c127-c81a-4030-8b29-ff88d16a8162 · outbound

This paper cites In: IEEE ICCV.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: IEEE ICCV

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:23.784255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f0d79b22-9081-43e0-8414-f8cfe7225d5c · outbound

This paper cites In: MICCAI.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: MICCAI

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:20.543088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac93b018-ca1b-483d-90a9-0a54e4aff921 · outbound

This paper cites Surgical Oncology38, 101637 (2021).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection Surgical Oncology38, 101637 (2021)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:23.569077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8b7334b-852b-48a0-96e8-663a23ab3c3b · outbound

This paper cites In: IEEE CVPR.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: IEEE CVPR

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:23.335137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58fdad00-cdce-45ed-a9bc-16269ebf1498 · outbound

This paper cites Heliyon 10(3) (2024).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection Heliyon 10(3) (2024)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:23.093973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7ad04b3-8f28-4ea4-ba1a-a86b7f2c41e8 · outbound

This paper cites an unresolved cited work.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:19:22.854733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c8d1dc3-c9f8-4d71-ade7-0d7d6e88b082 · outbound

This paper cites IEEE TPAMI43(10), 3349–3364 (2020).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection IEEE TPAMI43(10), 3349–3364 (2020)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:21.237454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a0a0182-eb0b-4a61-b5d7-85ee962a77a0 · outbound

This paper cites In: ITME.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection In: ITME

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:22.569336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bea7a137-930d-485e-a16b-6d67c5843db3 · outbound

This paper cites IEEE TPAMI (2022).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection IEEE TPAMI (2022)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:22.335813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 541308f7-2e71-45a7-8448-eb818aef80ea · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection Customized Segment Anything Model for Medical Image Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:21.618963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 694b6cc9-d2c3-4404-ae31-871871d5b54e · outbound

This paper cites IEEE TMI39(6), 1856–1867 (2019).

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection IEEE TMI39(6), 1856–1867 (2019)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:22.079938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.