Paper Citation Record · LEDGER

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.15279.

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

pith.paper-citation-record.v1
2506.15279 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:40:27.599024Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy12
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57774d3c-d86e-4384-a021-1bb13e3e8ead · outbound

This paper cites Medical image analysis99, 103371 (2025).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement Medical image analysis99, 103371 (2025)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.514247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9456814c-720b-4eb0-9c92-c37abcbf345c · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.848222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82840f90-7b1f-4216-8c62-c33ce45d7056 · outbound

This paper cites In: European conference on computer vision.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: European conference on computer vision

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.521623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efce3f6b-b3e8-4835-be27-1a37afc48a01 · outbound

This paper cites Procedia Computer Science246, 4951–4958 (2024).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement Procedia Computer Science246, 4951–4958 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.833345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d86695de-3aaa-4440-aada-d5faee39bf65 · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.527579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31e7ab9-c4e7-47e6-85f3-2d4bbf2e5bca · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Proceedings of the European conference on computer vision (ECCV)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.822822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 21890e99-d9c0-41e2-927d-36a7646a2583 · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.533938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 453cf3c6-4c82-483b-9fee-37b5388708fa · outbound

This paper cites In: Medical Image Computing and Computer- Assisted Intervention—MICCAI’98: First International Conference Cambridge, MA, USA, October 11–13, 1998 Proceedings 1.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Medical Image Computing and Computer- Assisted Intervention—MICCAI’98: First International Conference Cambridge, MA, USA, October 11–13, 1998 Proceedings 1

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.806293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8d00687d-8075-432f-843c-65c0708341e6 · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.540259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19b2666c-58ff-498f-a679-9969c2098ae4 · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.543933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c46afee3-0bda-42a5-9ba6-d9a167135575 · outbound

This paper cites In: MIDL.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: MIDL

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.788836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f32d7059-3cbb-48d5-b792-50de68a2bfce · outbound

This paper cites International Journal of Computer Assisted Radiology and Surgery17(8), 1429–1436 (2022).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement International Journal of Computer Assisted Radiology and Surgery17(8), 1429–1436 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.778020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0458d8ef-5f89-475a-9e1b-8b83b93debab · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence44(11), 8048–8064 (2021).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement IEEE Transactions on Pattern Analysis and Machine Intelligence44(11), 8048–8064 (2021)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.768671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b92fd6f7-8fa6-43d6-9d2e-52fdf7df819b · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.759170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce71217f-05e6-47cf-b33e-70a11e8392e4 · outbound

This paper cites Medical Image Analysis90, 102943 (2023).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement Medical Image Analysis90, 102943 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.749327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea4b6cd1-9004-4880-9c0b-a71b6a74f6f7 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.564072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf87366b-175a-4d3a-a7d9-e324dd72ca6b · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence43(10), 3349–3364 (2020).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement IEEE transactions on pattern analysis and machine intelligence43(10), 3349–3364 (2020)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.567238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8bfa71c-96e0-4c99-88ca-1222d792136d · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.570664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9209649f-2c4a-4834-b871-87c83bd17754 · outbound

This paper cites In: 2018 9th international conference on information technology in medicine and education (ITME).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: 2018 9th international conference on information technology in medicine and education (ITME)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.726312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c001bb7a-22b7-4622-b790-092c8104f9cd · outbound

This paper cites DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:40:27.652572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83dfc9dc-6042-4130-8237-6f3cfd431dae · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2022) BCRNet for Liver Landmark Detection 11.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2022) BCRNet for Liver Landmark Detection 11

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.715290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccaf3fd2-5c16-4cb7-9d1a-f81f361beda7 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.585079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79b40174-e82e-4335-9eda-752ffef173fe · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement Customized Segment Anything Model for Medical Image Segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.587733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 360899cd-e55a-4856-b17b-4c850b3bb78f · outbound

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

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:40:27.698830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02e2e1cf-ae24-4ae5-ae0c-b8142e8bf082 · outbound

This paper cites IEEE transac- tions on medical imaging39(6), 1856–1867 (2019).

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement IEEE transac- tions on medical imaging39(6), 1856–1867 (2019)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.595232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fdcb54f-ad67-4909-9695-281ab94011db · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:27.599024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.