EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery | Paper Citation Record

Observation 12a237fb-230c-4ab9-8e83-003bfb442a11 · outbound

This paper cites Rethinking exemplars for continual semantic segmentation in endoscopy scenes: Entropy-based mini-batch pseudo-replay,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Rethinking exemplars for continual semantic segmentation in endoscopy scenes: Entropy-based mini-batch pseudo-replay,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.833882Z

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Observation 4eba7d54-82b5-4bd7-a93e-f5a883f361cc · outbound

This paper cites Endoscopy disease detection challenge 2020.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Endoscopy disease detection challenge 2020

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:52:29.045228Z

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Observation ee2fbc4e-1f3a-49c9-8c79-2be8d071285b · outbound

This paper cites Complications following endoscopic submucosal dissection for gastric, esophageal, and colorectal cancer: a review of studies based on nationwide large-scale databases,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Complications following endoscopic submucosal dissection for gastric, esophageal, and colorectal cancer: a review of studies based on nationwide large-scale databases,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.818052Z

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Observation a9c259b6-729d-4948-8c43-5d2699f983bc · outbound

This paper cites Endoscopic submucosal dissection for early gastric cancer performed by supervised residents: assessment of feasibility and learning curve,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Endoscopic submucosal dissection for early gastric cancer performed by supervised residents: assessment of feasibility and learning curve,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.801361Z

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Observation c895a42a-4557-4d07-b677-3bdb66abbfd2 · outbound

This paper cites Savanet: Surgical action-driven visual attention network for autonomous endoscope control,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Savanet: Surgical action-driven visual attention network for autonomous endoscope control,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.785667Z

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

This paper cites 2018 Robotic Scene Segmentation Challenge.

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

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Observation 51942f40-41a4-4993-a03f-c5fa4723e798 · outbound

This paper cites Learning and reasoning with the graph structure representation in robotic surgery,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Learning and reasoning with the graph structure representation in robotic surgery,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.769277Z

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Observation 1ad209d7-a0f2-42cf-92cb-b5f4bae590b7 · outbound

This paper cites Domain adaptive sim- to-real segmentation of oropharyngeal organs,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Domain adaptive sim- to-real segmentation of oropharyngeal organs,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.752274Z

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Observation 3574d474-53d3-4979-ac34-b97bf56bfcae · outbound

This paper cites Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.128971Z

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Observation 88d9c00e-935d-489b-acbf-1f5bff347804 · outbound

This paper cites Global-reasoned multi-task learning model for surgical scene understanding,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Global-reasoned multi-task learning model for surgical scene understanding,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.734407Z

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Observation 902b20d7-af0c-447c-b77c-4fecec724559 · outbound

This paper cites SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.140883Z

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Observation 3c2ef037-99e4-4e58-828a-dbe47efe48a0 · outbound

This paper cites CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.147739Z

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Observation ee987a86-efba-422f-a458-2fae05d0d5bd · outbound

This paper cites EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:52:28.956971Z

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Observation 9abb8f9b-be1b-4569-adaf-a1375ddaa606 · outbound

This paper cites OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:52:28.933125Z

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Observation 4c21cfe2-275f-4dde-bd79-83c10fc2340a · outbound

This paper cites Artificial intelligence: A powerful paradigm for scientific research,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Artificial intelligence: A powerful paradigm for scientific research,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.718262Z

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Observation f2a1b779-387d-4c09-8247-a45ea1b517fa · outbound

This paper cites Multimix: sparingly- supervised, extreme multitask learning from medical images,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Multimix: sparingly- supervised, extreme multitask learning from medical images,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.702437Z

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Observation 4fa2fefc-c761-48b6-95fd-bd0e30aa9be4 · outbound

This paper cites Sam meets robotic surgery: an empirical study on generalization, robustness and adaptation,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Sam meets robotic surgery: an empirical study on generalization, robustness and adaptation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.685863Z

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Observation 790994d1-34ba-4aed-ae7e-5e1363bf202d · outbound

This paper cites Surgical-dino: adapter learning of foundation models for depth estimation in endoscopic surgery,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Surgical-dino: adapter learning of foundation models for depth estimation in endoscopic surgery,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.669613Z

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Observation 79793c35-da10-48ac-bda8-b296fc1c9f4f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery DINOv2: Learning Robust Visual Features without Supervision

Reference 19

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Observation 4d917d41-3396-4c8f-a31d-c430902f571a · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.192056Z

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Observation 2157ebbd-e142-4d87-81a5-be2684e5488b · outbound

This paper cites Modeling task relationships in multi-task learning with multi-gate mixture-of-experts,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Modeling task relationships in multi-task learning with multi-gate mixture-of-experts,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.197075Z

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Observation 3f64905e-da05-48a1-9c77-a8faff142040 · outbound

This paper cites Smooth Tchebycheff Scalarization for Multi-Objective Optimization.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.202010Z

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Observation aa5fde96-12ba-4d99-9fc9-00bd385f1e52 · outbound

This paper cites Multitask learning: A knowledge-based source of inductive bias1,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Multitask learning: A knowledge-based source of inductive bias1,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.641819Z

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Observation b90230bf-3dd6-45b4-8fc9-75ff6f39d662 · outbound

This paper cites Low resource dependency parsing: Cross-lingual parameter sharing in a neural network parser,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Low resource dependency parsing: Cross-lingual parameter sharing in a neural network parser,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.625031Z

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Observation cbdf7fa8-5380-4c54-8eac-56792c12cde1 · outbound

This paper cites Learning multiple tasks with multilinear relationship networks,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Learning multiple tasks with multilinear relationship networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.218944Z

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Observation dc17ba9d-ca2c-4914-a920-7ff34f031dda · outbound

This paper cites Fully- adaptive feature sharing in multi-task networks with applications in person attribute classification,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Fully- adaptive feature sharing in multi-task networks with applications in person attribute classification,

Reference 26

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Observation 105f525e-84ae-4bd4-b43e-8d457d8eb5c7 · outbound

This paper cites Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.229459Z

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Observation 5414fb4e-ea4d-4f69-bd14-9aa7e5f775ad · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.234925Z

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Observation ea791dfd-a721-4d10-b1d6-9315be09955a · outbound

This paper cites Multi-task learning as multi-objective opti- mization,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Multi-task learning as multi-objective opti- mization,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.240181Z

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Observation 9d93bf06-a3d1-48d4-895d-187e883bfed6 · outbound

This paper cites Cross-stitch net- works for multi-task learning,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Cross-stitch net- works for multi-task learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.245621Z

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Observation 14927ea1-ca23-4f12-b45a-8e214a6fbd9e · outbound

This paper cites End-to-end multi-task learning with attention,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery End-to-end multi-task learning with attention,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.251735Z

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Observation cfc289cd-bda5-4d13-95d6-2944c6cf7c3b · outbound

This paper cites Task adaptive parameter sharing for multi- task learning,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Task adaptive parameter sharing for multi- task learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.532358Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c58f0e7d-4334-4395-a5ea-0045cffa7178 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 33

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Observation 377e0e4a-fc7f-4f3d-af97-a3f4b95f5e85 · outbound

This paper cites M 3vit: Mixture-of-experts vision transformer for efficient multi- task learning with model-accelerator co-design,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery M 3vit: Mixture-of-experts vision transformer for efficient multi- task learning with model-accelerator co-design,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.516471Z

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Observation 66fdf306-477d-4caf-b26a-0a8415179554 · outbound

This paper cites Heterogeneous multi-task learn- ing with expert diversity,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Heterogeneous multi-task learn- ing with expert diversity,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.500622Z

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Observation c267e222-5ef6-4d72-9970-36707b83f79b · outbound

This paper cites Unit: Multimodal multitask learning with a unified transformer,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Unit: Multimodal multitask learning with a unified transformer,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.483943Z

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Observation 7508f9d5-ecab-48e5-b95c-3dcc32279edd · outbound

This paper cites Taskprompter: Spatial-channel multi-task prompting for dense scene understanding,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Taskprompter: Spatial-channel multi-task prompting for dense scene understanding,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.466945Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98a18d53-8e6d-425b-a699-212e61a4296b · outbound

This paper cites Orthogonal transfer for multitask optimization,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Orthogonal transfer for multitask optimization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.449106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0dd6a554-66a7-4f69-809d-d07cf06b2683 · outbound

This paper cites Lymph node gross tumor volume detection and segmentation via distance-based gating using 3d ct/pet imaging in radiotherapy,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Lymph node gross tumor volume detection and segmentation via distance-based gating using 3d ct/pet imaging in radiotherapy,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.433422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ada81a0-78e8-4798-b847-935362b698be · outbound

This paper cites Assisted probe positioning for ultrasound guided radiotherapy using image sequence classification,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Assisted probe positioning for ultrasound guided radiotherapy using image sequence classification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.414262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ccfb117e-35ee-4de0-b6df-7671d4b41ba6 · outbound

This paper cites Multi-task temporal convo- lutional networks for joint recognition of surgical phases and steps in gastric bypass procedures,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Multi-task temporal convo- lutional networks for joint recognition of surgical phases and steps in gastric bypass procedures,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.397380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 016bc3be-53f4-42e1-bad2-7af2b31e2cc4 · outbound

This paper cites Multi-task learning for registering images with large deformation,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Multi-task learning for registering images with large deformation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.380447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4989e80-3757-43fe-ac17-e2c46e606787 · outbound

This paper cites Less is more: Simultaneous view classification and land- mark detection for abdominal ultrasound images,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Less is more: Simultaneous view classification and land- mark detection for abdominal ultrasound images,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.360180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ef3b48c-87ff-4088-934b-256526dafae3 · outbound

This paper cites Prediction of prognostic risk factors in hepatocellular carcinoma with transarterial chemoembolization using multi-modal multi-task deep learning,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Prediction of prognostic risk factors in hepatocellular carcinoma with transarterial chemoembolization using multi-modal multi-task deep learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.342316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa01413a-4597-4927-8e97-0a7bf8c7ca26 · outbound

This paper cites an unresolved cited work.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:52:29.323408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c7d5e2c-a49a-436b-bb74-dd7790287608 · outbound

This paper cites Task- aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Task- aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.306337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6ba993e8-4620-488a-a25f-3650b51ce9a0 · outbound

This paper cites 3d multi-attention guided multi-task learning network for automatic gastric tumor segmentation and lymph node classification,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery 3d multi-attention guided multi-task learning network for automatic gastric tumor segmentation and lymph node classification,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.288514Z

Source-reported events for the cited work

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Observation 1705a0a9-425a-4a89-923f-6bcf91be7ee4 · outbound

This paper cites An end-to-end multi- task deep learning framework for skin lesion analysis,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery An end-to-end multi- task deep learning framework for skin lesion analysis,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.271465Z

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Observation a0243635-bd2a-4e36-85da-d5a4da50cee6 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.254523Z

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Observation 372bd0de-0086-4c1c-8178-0c1b339a0f8e · outbound

This paper cites Language models are unsupervised multitask learners,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Language models are unsupervised multitask learners,

Reference 50

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Observation 2de0f46f-2d53-497d-8c3a-39e096e011c1 · outbound

This paper cites Segment anything,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Segment anything,

Reference 51

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Observation eeb875a9-3ddd-43ca-92bb-5d0f666820c1 · outbound

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

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery SAM 2: Segment Anything in Images and Videos

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.355948Z

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Observation afa78eff-a02b-4505-b388-df8e5d9a68ea · outbound

This paper cites Fedfmsl: Federated learning of foundations models with sparsely activated lora,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Fedfmsl: Federated learning of foundations models with sparsely activated lora,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.216192Z

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Observation 17bb61b5-7f32-492a-b256-901cdac97ba6 · outbound

This paper cites Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.365965Z

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Observation ce14faa2-a377-4c65-b7c6-a55db867b1c9 · outbound

This paper cites Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.371486Z

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Observation 0f7259a0-b4f2-41aa-8301-bf4e524eb47e · outbound

This paper cites Rapid Adaptation of Earth Observation Foundation Models for Segmentation.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Rapid Adaptation of Earth Observation Foundation Models for Segmentation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.376795Z

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Observation 4803ae4e-0a8d-4e05-8caf-1e901caae447 · outbound

This paper cites One initialization to rule them all: Fine-tuning via explained variance adaptation,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery One initialization to rule them all: Fine-tuning via explained variance adaptation,

Reference 57

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This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.386679Z

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Observation 9666c1ea-9fb6-4872-89f8-6c90d31009d4 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.391699Z

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Observation ba9f9ab8-c5dc-4ddf-a2e6-78a1678508ad · outbound

This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.396675Z

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Observation edbf8207-1173-4e48-9dce-b7c69c167ce9 · outbound

This paper cites Efficient multi-scale attention module with cross-spatial learning,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Efficient multi-scale attention module with cross-spatial learning,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.401575Z

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Observation 4ae24d28-fc6f-4093-8dc7-957eb7f61dc8 · outbound

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

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Customized Segment Anything Model for Medical Image Segmentation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.406702Z

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Observation 35b44773-2b88-47a4-aafe-62b131f841ff · outbound

This paper cites Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.412618Z

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Observation a4f0ae84-f9ad-44af-a753-356010962492 · outbound

This paper cites Transendoscopic flexible parallel continuum robotic mechanism for bimanual endoscopic sub- mucosal dissection,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Transendoscopic flexible parallel continuum robotic mechanism for bimanual endoscopic sub- mucosal dissection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.167068Z

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Observation e5e40dd3-c6ff-4269-9db8-32ef2b6421e0 · outbound

This paper cites A novel miniature transendoscopic telerobotic system for endoscopic submucosal dissection,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery A novel miniature transendoscopic telerobotic system for endoscopic submucosal dissection,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.150057Z

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Observation bfad0880-7edb-4c14-a267-192db8e892f9 · outbound

This paper cites Surgical-vqla++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Surgical-vqla++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.134072Z

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Observation ce31a7b5-f247-4aa0-a333-33539f31a7b2 · outbound

This paper cites 2017 Robotic Instrument Segmentation Challenge.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery 2017 Robotic Instrument Segmentation Challenge

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.433569Z

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Observation 392b566b-88e1-451b-a686-fc8ef6dd1c09 · outbound

This paper cites LibMTL: A Python Library for Multi-Task Learning.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery LibMTL: A Python Library for Multi-Task Learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.438777Z

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Observation 3567c8af-9bb5-4935-a46a-99ec1f5b77d0 · outbound

This paper cites Deep residual learning for image recognition,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Deep residual learning for image recognition,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.444891Z

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Observation e5147d31-e8f6-4464-9146-a374970cb2c8 · outbound

This paper cites Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.451772Z

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Observation 597f3b6a-4e91-4ba7-8daf-e9dcdffd43ce · outbound

This paper cites Mitigating gradient bias in multi-objective learning: A prov- ably convergent approach.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Mitigating gradient bias in multi-objective learning: A prov- ably convergent approach

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.096382Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99e488d9-c246-49e5-ba35-bb825c7ef2d5 · outbound

This paper cites Independent component alignment for multi-task learning,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Independent component alignment for multi-task learning,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.078698Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35258a53-749b-49ad-aed0-f9e7a23baae0 · outbound

This paper cites Dual-balancing for multi-task learning,.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Dual-balancing for multi-task learning,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:29.061995Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 251b399c-a386-4d79-be70-57005f01b2f7 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.473738Z

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