Paper Citation Record · LEDGER

2018 Robotic Scene Segmentation Challenge

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2001.11190.

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

pith.paper-citation-record.v1
2001.11190 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:28.109829Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

119
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5c30a986-7a29-4572-80a2-74788cffbbe7 · 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 2018 Robotic Scene Segmentation Challenge

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:45:50.788411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d63e37f3-c975-408e-9e75-a0c1fd0f237e · inbound

SAM 2: Segment Anything in Images and Videos cites this paper.

SAM 2: Segment Anything in Images and Videos 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:56:25.368116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36e5a6bf-0e61-4963-97a1-44090de3c062 · inbound

Surgical Visual Understanding (SurgVU) Dataset cites this paper.

Surgical Visual Understanding (SurgVU) Dataset 2018 Robotic Scene Segmentation Challenge

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T06:02:38.135859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4bc2a749-4416-4f52-a918-5ba3cc38580a · inbound

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery cites this paper.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery 2018 Robotic Scene Segmentation Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.109829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464c2954-80a4-47f8-b714-e862ca54a132 · inbound

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning cites this paper.

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning 2018 Robotic Scene Segmentation Challenge

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:12.816231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ecc4bd2-e682-4561-864c-80181f85d79f · inbound

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting cites this paper.

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:10.116185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89bcc4fa-37ae-4b7f-a74f-2179ab895ce7 · 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 2018 Robotic Scene Segmentation Challenge

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:22:07.783094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb34e94f-ca82-4607-8fd1-23a25416df9b · inbound

SurgVisAgent: Multimodal Agentic Model for Versatile Surgical Visual Enhancement cites this paper.

SurgVisAgent: Multimodal Agentic Model for Versatile Surgical Visual Enhancement 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:52.617292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0125bb3b-913e-46bc-ac20-ffc1f9011010 · inbound

Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation cites this paper.

Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation 2018 Robotic Scene Segmentation Challenge

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:27.855182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c870053-8de5-4233-98ce-0a35e8877fa6 · inbound

CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning cites this paper.

CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning 2018 Robotic Scene Segmentation Challenge

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:39.708182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ada761-057a-4c95-bd27-180dd95dad2d · inbound

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation cites this paper.

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:58:44.929151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 158d2962-f809-4dbc-8f3e-c70191118d73 · inbound

Towards Holistic Surgical Scene Graph cites this paper.

Towards Holistic Surgical Scene Graph 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:34:32.444364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc1b3252-962e-4c56-a5a2-0c3ecdfb7f56 · inbound

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance cites this paper.

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:34.599389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a956007-e1f4-488f-bf61-4b864008e88c · inbound

Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation cites this paper.

Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation 2018 Robotic Scene Segmentation Challenge

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T05:31:31.601452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1adeb7-0c04-474e-97a1-a52c08491637 · inbound

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy cites this paper.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy 2018 Robotic Scene Segmentation Challenge

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:18.148307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b713460-6f3d-488c-9995-0b5a51ca235a · 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 2018 Robotic Scene Segmentation Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T21:12:03.258472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b166568-9b79-471d-8863-8a1e03af6b41 · inbound

On the Role of Depth in Surgical Vision Foundation Models: An Empirical Study of RGB-D Pre-training cites this paper.

On the Role of Depth in Surgical Vision Foundation Models: An Empirical Study of RGB-D Pre-training 2018 Robotic Scene Segmentation Challenge

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T07:53:48.142265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6553f3-86c0-4288-9253-be186ab51dad · 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 2018 Robotic Scene Segmentation Challenge

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:03:20.387777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d89a2f2-0339-4882-9631-057fb712a969 · 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 2018 Robotic Scene Segmentation Challenge

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:25:23.525866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7924bd1c-1db4-4386-aca3-7f761165848d · inbound

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation cites this paper.

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation 2018 Robotic Scene Segmentation Challenge

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:44:01.625048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de66904f-6d5a-40ad-bcc5-d7e047cd0d88 · 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 2018 Robotic Scene Segmentation Challenge

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:10:07.413935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd3a8cb5-4fd1-4674-a938-49b68c52d113 · inbound

Temporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions cites this paper.

Temporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions 2018 Robotic Scene Segmentation Challenge

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:50.403099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0f2d587-07a9-4ff8-892d-e7c8c9d62e41 · 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 2018 Robotic Scene Segmentation Challenge

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:11.524817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44cf6bd4-72d1-4b18-966f-be50df9da241 · inbound

SurgAM: Surgical Affordance Map Prediction with Multimodal Feature Fusion for Robot Autonomy cites this paper.

SurgAM: Surgical Affordance Map Prediction with Multimodal Feature Fusion for Robot Autonomy 2018 Robotic Scene Segmentation Challenge

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T19:36:47.488953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 351cee03-e484-42b2-8056-2d8a2f02bfa1 · inbound

DeGenseGS: Geometrically and Semantically Decoupled Surgical Scene Understanding in 4D Gaussian Splatting cites this paper.

DeGenseGS: Geometrically and Semantically Decoupled Surgical Scene Understanding in 4D Gaussian Splatting 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T13:55:33.416450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c349c3-9351-4687-9fb1-f4805c1aab35 · inbound

Stitch-Inferencer: Enhance Endoscopic Video Segmentation and Tracking via Panoramic Reconstruction cites this paper.

Stitch-Inferencer: Enhance Endoscopic Video Segmentation and Tracking via Panoramic Reconstruction 2018 Robotic Scene Segmentation Challenge

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:44.836790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2f2859-9df4-4586-828e-54a1e1ba174b · inbound

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation cites this paper.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T15:42:48.962379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.