Paper Citation Record · LEDGER

2017 Robotic Instrument Segmentation Challenge

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1902.06426.

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

pith.paper-citation-record.v1
1902.06426 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:12:03.135925Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 47df7afe-eda0-47a6-8363-b4035dccec6c · inbound

Learning Where to Look While Tracking Instruments in Robot-assisted Surgery cites this paper.

Learning Where to Look While Tracking Instruments in Robot-assisted Surgery 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T13:00:50.079622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bf16d4b9-2c71-4b11-943f-2ba750ac87c2 · inbound

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video cites this paper.

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video 2017 Robotic Instrument Segmentation Challenge

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T20:04:52.789957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f32d42a-47b3-4691-a9ed-a803a8d94745 · inbound

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation cites this paper.

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T12:36:49.934536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c1529776-b030-48a5-874e-2f991d539a11 · inbound

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge cites this paper.

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge 2017 Robotic Instrument Segmentation Challenge

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T22:45:50.870783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9610c571-ccc4-4d1f-8a52-15797a4aa1c2 · inbound

Surgical Visual Understanding (SurgVU) Dataset cites this paper.

Surgical Visual Understanding (SurgVU) Dataset 2017 Robotic Instrument Segmentation Challenge

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:02:38.123916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d37e154c-4c92-4aef-91e8-43a4a9943880 · inbound

StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial Dependencies cites this paper.

StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial Dependencies 2017 Robotic Instrument Segmentation Challenge

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:46:57.635886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9d7a2bb8-ce66-41f1-900d-acef04c4d422 · inbound

SurgiSR4K: A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures cites this paper.

SurgiSR4K: A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T06:22:07.778955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd41ac32-1df3-4e41-af6d-4d5d755562fb · inbound

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking cites this paper.

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking 2017 Robotic Instrument Segmentation Challenge

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T21:12:03.135925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c2c0f2-6bb4-446e-9ad9-f8ee96dcf127 · inbound

S2M-Net: Spectral-Spatial Mixing for Medical Image Segmentation with Morphology-Aware Adaptive Loss cites this paper.

S2M-Net: Spectral-Spatial Mixing for Medical Image Segmentation with Morphology-Aware Adaptive Loss 2017 Robotic Instrument Segmentation Challenge

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-16T17:31:08.401278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f49fc4d-7750-412c-b2bd-c03b69e80bbf · inbound

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding cites this paper.

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding 2017 Robotic Instrument Segmentation Challenge

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-03T10:49:59.078902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ea951c-c6aa-4513-a77a-7cbb3a02450f · inbound

Unlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework cites this paper.

Unlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:03:20.391519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7e9a2c6-fc68-4dd1-938c-12cd0817c785 · inbound

Benchmarking CNN- and Transformer-Based Models for Surgical Instrument Segmentation in Robotic-Assisted Surgery cites this paper.

Benchmarking CNN- and Transformer-Based Models for Surgical Instrument Segmentation in Robotic-Assisted Surgery 2017 Robotic Instrument Segmentation Challenge

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:21:00.921823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d2d1dc4-2d0f-4567-b42f-4ebea7075f87 · inbound

Attention Is not Everything: Efficient Alternatives for Vision cites this paper.

Attention Is not Everything: Efficient Alternatives for Vision 2017 Robotic Instrument Segmentation Challenge

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:10.457997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92b44ae8-33ec-4425-b80a-90b7083000e4 · inbound

USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation cites this paper.

USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:17:29.601895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6008e62-a91e-4542-9d80-d5c3ebc10571 · inbound

RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering cites this paper.

RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering 2017 Robotic Instrument Segmentation Challenge

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T05:25:23.532623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc93a483-0fff-4de2-9053-e235e85f27a4 · inbound

Surgical Anatomy Recognition with Context Learning using Foundation Representations cites this paper.

Surgical Anatomy Recognition with Context Learning using Foundation Representations 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T07:59:40.025386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation abc199bc-bb58-4af6-b96a-2e01a9bc7cb9 · inbound

SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery cites this paper.

SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery 2017 Robotic Instrument Segmentation Challenge

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T20:10:07.454301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c100966-3a4d-4fe1-9fa5-55fc33e74d9d · inbound

Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos cites this paper.

Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:55:11.527736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.