Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition | Paper Citation Record

Observation 18dee0f7-67f8-4362-90ed-c39ab10b59a1 · outbound

This paper cites Pattern recognition and machine learning.Springer google schola, 2:1122–1128, 2006.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Pattern recognition and machine learning.Springer google schola, 2:1122–1128, 2006

Reference 1

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Observation a4d33968-34b4-47b2-a1c0-7f86942eca4e · outbound

This paper cites Context awareness in health care: A review.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Context awareness in health care: A review

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.179868Z

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Observation 25fc5f10-24a3-4b7d-8b90-f7896583d20d · outbound

This paper cites SR-Mamba: Effective Surgical Phase Recognition with State Space Model.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition SR-Mamba: Effective Surgical Phase Recognition with State Space Model

Reference 3

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Observation e59589ad-9751-485f-90f9-2ab8d12aa55d · outbound

This paper cites Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Reference 4

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Observation 3a8bb616-fbbd-44df-85a5-edad8b099610 · outbound

This paper cites Spatio-temporal causal transformer for multi-grained surgical phase recognition.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Spatio-temporal causal transformer for multi-grained surgical phase recognition

Reference 5

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Observation fb4001d9-807c-479f-bb49-34e0e21b2e00 · outbound

This paper cites SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference

Reference 6

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Observation bf3f65c6-c5d7-4e79-97e0-16124dc8cb0d · outbound

This paper cites Tecno: Surgical phase recognition with multi-stage temporal convolutional networks.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Tecno: Surgical phase recognition with multi-stage temporal convolutional networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.164271Z

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Observation 5c4fa356-be8a-46d2-a19d-1d7b646fbd07 · outbound

This paper cites Springer International Publishing, 2021.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Springer International Publishing, 2021

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.147261Z

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Observation 5e50be05-c18a-492c-a48d-4f9da10e44e5 · outbound

This paper cites Automatic data-driven real-time segmentation and recognition of surgical workflow.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Automatic data-driven real-time segmentation and recognition of surgical workflow

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.130360Z

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Observation cc8990ec-95ab-4b32-9366-4d6fcbaecb62 · outbound

This paper cites Exploring segment-level semantics for online phase recog- nition from surgical videos.IEEE Transactions on Medical Imaging, 41(11):3309–3319, 2022.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Exploring segment-level semantics for online phase recog- nition from surgical videos.IEEE Transactions on Medical Imaging, 41(11):3309–3319, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.114172Z

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Observation 3695c028-8cb3-40a3-bcec-8908a2fdb459 · outbound

This paper cites Contextual Dropout: An Efficient Sample-Dependent Dropout Module.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Contextual Dropout: An Efficient Sample-Dependent Dropout Module

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:27:40.029566Z

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Observation 4a474287-02ab-4b81-ab12-53fe15a4198b · outbound

This paper cites SlowFast Networks for Video Recognition.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition SlowFast Networks for Video Recognition

Reference 12

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Observation a4753217-3e6e-4070-bd30-80494ababe61 · outbound

This paper cites an unresolved cited work.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Unresolved cited work

Reference 13

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Observation 2ceba393-7b3c-44a5-b19f-4b71cd50a0d4 · outbound

This paper cites Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation trans- former.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation trans- former

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.097833Z

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Observation c13f8c76-0d48-412a-8734-3427a13d94c4 · outbound

This paper cites Learning to re- weight examples with optimal transport for imbalanced classification.Advances in Neural Information Processing Systems, 35:25517–25530, 2022.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Learning to re- weight examples with optimal transport for imbalanced classification.Advances in Neural Information Processing Systems, 35:25517–25530, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.079619Z

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Observation cdeee0fb-a1d9-4309-8efc-23055dc745e4 · outbound

This paper cites Card: Classification and regression diffusion models.Advances in Neural Information Processing Systems, 35:18100–18115, 2022.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Card: Classification and regression diffusion models.Advances in Neural Information Processing Systems, 35:18100–18115, 2022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:43.061630Z

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Observation 1e822102-459e-44c8-b3fd-538a01d6148d · outbound

This paper cites Deep residual learning for image recognition.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Deep residual learning for image recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:27:35.140218Z

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Observation 001eeb1e-73e5-4ac9-afc9-bb73f952fb07 · outbound

This paper cites Denoising diffusion probabilistic models.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Denoising diffusion probabilistic models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:27:35.255772Z

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Observation ccdbb0d6-fc57-4d0d-8114-9d6455a9ecb2 · outbound

This paper cites NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

Reference 19

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Observation 383e3b1a-86aa-4659-a3f1-c683cd440bf9 · outbound

This paper cites OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:27:39.752985Z

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Observation ce627f5b-79cd-4183-bb6c-70475c011867 · outbound

This paper cites Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network.IEEE transactions on medical imaging, 37(5):1114–1126, 2017.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network.IEEE transactions on medical imaging, 37(5):1114–1126, 2017

Reference 21

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Observation 0492930e-d588-489f-91a0-f83a062d5a43 · outbound

This paper cites Sv-rcnet: Workflow recognition from surgical videos using recurrent convolutional network.IEEE Transactions on Medical Imaging, 37(5):1114–1126, 2018.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Sv-rcnet: Workflow recognition from surgical videos using recurrent convolutional network.IEEE Transactions on Medical Imaging, 37(5):1114–1126, 2018

Reference 22

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Observation d1715241-c6a8-4261-b364-0e024dc678bd · outbound

This paper cites Multi-task recurrent convolutional network with correlation loss for surgi- cal video analysis.Medical Image Analysis, 59:101572, 2020.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Multi-task recurrent convolutional network with correlation loss for surgi- cal video analysis.Medical Image Analysis, 59:101572, 2020

Reference 23

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T00:27:39.538179Z

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Observation d355f1cb-ab27-4c2d-8303-32f96206d5f9 · outbound

This paper cites Temporal memory relation network for workflow recognition from surgical video.IEEE Transactions on Medical Imaging, 40(7):1911–1923, 2021.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Temporal memory relation network for workflow recognition from surgical video.IEEE Transactions on Medical Imaging, 40(7):1911–1923, 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:27:35.789200Z

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Observation d0f3fc91-12e9-452d-8897-fb3604197471 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Adam: A Method for Stochastic Optimization

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Observation a5941ee6-3381-418b-97c6-ee26844b5210 · outbound

This paper cites Auto-encoding variational bayes, 2013.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Auto-encoding variational bayes, 2013

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Observation dbefb5be-29f9-4ccc-83be-d8bcd40933f3 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.Communications of the ACM, 60(6):84–90, 2017.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Imagenet classification with deep convolutional neural networks.Communications of the ACM, 60(6):84–90, 2017

Reference 27

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Observation 56c1d1d4-8b59-4322-8466-0c8010d6eed2 · outbound

This paper cites Towards unified surgical skill assessment.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Towards unified surgical skill assessment

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.973007Z

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Observation 16a3ad2a-6e47-452b-8b15-293101dc9965 · outbound

This paper cites Skit: a fast key information video transformer for online surgical phase recognition.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Skit: a fast key information video transformer for online surgical phase recognition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.956576Z

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Observation caa4b001-719c-4e91-9be1-a4c6b1f17e55 · outbound

This paper cites Garcia-Peraza-Herrera, Tom Vercauteren, Prokar Das- gupta, Alejandro Granados, and Sébastien Ourselin.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Garcia-Peraza-Herrera, Tom Vercauteren, Prokar Das- gupta, Alejandro Granados, and Sébastien Ourselin

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Observation d4be0973-8934-4a8b-bd31-013d1e5307c8 · outbound

This paper cites A convnet for the 2020s.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition A convnet for the 2020s

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Observation f4db6c15-54af-410c-85e0-1e1a7df006af · outbound

This paper cites Surgical process modeling.Innovative surgical sciences, 2(3):123–137, 2017.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Surgical process modeling.Innovative surgical sciences, 2(3):123–137, 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.927394Z

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Observation cd04297f-8e5b-427e-80e5-2dfb1b2ead30 · outbound

This paper cites Expanding Language-Image Pretrained Models for General Video Recognition.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Expanding Language-Image Pretrained Models for General Video Recognition

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Observation 4bdc73ca-376f-427c-9b7a-508f62bc0da1 · outbound

This paper cites Real-time task recognition in cataract surgery videos using adaptive spatiotemporal polynomials.IEEE transactions on medical imaging, 34(4):877–887, 2014.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Real-time task recognition in cataract surgery videos using adaptive spatiotemporal polynomials.IEEE transactions on medical imaging, 34(4):877–887, 2014

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.909580Z

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Observation d123e0a8-5ec6-4af3-9c5f-99e2fab5bbcd · outbound

This paper cites On the pitfalls of batch normalization for end-to-end video learning: A study on surgical workflow analysis.Medical Image Analysis, page 103126, 2024.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition On the pitfalls of batch normalization for end-to-end video learning: A study on surgical workflow analysis.Medical Image Analysis, page 103126, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.892766Z

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Observation 8267e5be-b2dc-48e6-981f-8ee0b4210a25 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition High-resolution image synthesis with latent diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.874992Z

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Observation dabb5088-d30b-4e72-89e4-518a43b57194 · outbound

This paper cites Non-autoregressive conditional diffusion models for time series prediction.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Non-autoregressive conditional diffusion models for time series prediction

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.858662Z

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Observation c89eff74-6e38-4e3f-923e-b634e19bc6de · outbound

This paper cites Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recogni- tion.Medical Image Analysis, 73:102158, 2021.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recogni- tion.Medical Image Analysis, 73:102158, 2021

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Observation 25b361a5-9376-4e3c-a93c-462cc7b806c0 · outbound

This paper cites Meta-weight-net: Learning an explicit mapping for sample weighting.Advances in neural information processing systems, 32, 2019.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Meta-weight-net: Learning an explicit mapping for sample weighting.Advances in neural information processing systems, 32, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.720623Z

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Observation 72d5d3f9-9538-40cb-84d6-5a758d77e10a · outbound

This paper cites Denoising diffusion implicit models.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Denoising diffusion implicit models

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Observation 791fd670-a0d3-4ef7-b46c-5c9b943dea94 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Score-based generative modeling through stochastic differential equations

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Observation 04df38c8-06c8-4be9-864c-a269d99883da · outbound

This paper cites Last: Latent space-constrained transformers for automatic surgical phase recognition and tool presence detection.IEEE Transactions on Medical Imaging, 2023.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Last: Latent space-constrained transformers for automatic surgical phase recognition and tool presence detection.IEEE Transactions on Medical Imaging, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:42.270069Z

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Observation f86bfb9c-f3db-4fdc-9b07-e50224452aab · outbound

This paper cites Learning Spatiotemporal Features with 3D Convolutional Networks.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Learning Spatiotemporal Features with 3D Convolutional Networks

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Observation 02cb4079-782e-4609-acb4-f2a303b749c1 · outbound

This paper cites Miccai modeling and monitoring of computer assisted interventions challenge.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Miccai modeling and monitoring of computer assisted interventions challenge

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Observation c94f1b97-cfe4-49f3-a5b3-099835d0007a · outbound

This paper cites Endonet: a deep architecture for recognition tasks on laparoscopic videos.IEEE transactions on medical imaging, 36(1):86–97, 2016.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Endonet: a deep architecture for recognition tasks on laparoscopic videos.IEEE transactions on medical imaging, 36(1):86–97, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:41.601800Z

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Observation 42283bd2-60a3-4aed-8ce9-ee81fe29b00f · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Attention is all you need.Advances in neural information processing systems, 30, 2017

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Observation 519cf22f-4976-4ab2-b318-a38ed6f77765 · outbound

This paper cites Autolaparo: A new dataset of integrated multi-tasks for image-guided surgical automation in laparoscopic hysterectomy.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Autolaparo: A new dataset of integrated multi-tasks for image-guided surgical automation in laparoscopic hysterectomy

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:41.208946Z

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Observation e0e0005d-244a-4a25-a4be-90f4dd959153 · outbound

This paper cites Hard frame detection and online mapping for surgical phase recognition, 2019.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Hard frame detection and online mapping for surgical phase recognition, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:40.900287Z

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Observation f82ed75a-c92b-45ca-8b65-bfaff2f5b07c · outbound

This paper cites Hard frame detection and online mapping for surgical phase recognition.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Hard frame detection and online mapping for surgical phase recognition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:40.676713Z

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Observation 3d98aa56-2738-4e12-8c56-2addf476d180 · outbound

This paper cites Not end-to-end: Explore multi-stage architecture for online surgical phase recognition.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Not end-to-end: Explore multi-stage architecture for online surgical phase recognition

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:40.559523Z

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 188a28f0-4c1f-4f3e-b0e9-929d12b6e6fe · outbound

This paper cites Cascade multi-level transformer network for surgical workflow analysis.IEEE Transactions on Medical Imaging, 2023.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Cascade multi-level transformer network for surgical workflow analysis.IEEE Transactions on Medical Imaging, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:40.438397Z

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 cca973ac-e5cb-4551-b00c-086c221dba08 · outbound

This paper cites SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with Mamba.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with Mamba

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T00:27:38.708157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa174ef-b3a6-4940-8aeb-961fa6b41cf1 · outbound

This paper cites an unresolved cited work.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:27:38.809600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd9d66d9-e2fa-451e-9a9b-174ace396ba1 · outbound

This paper cites Real-time online video detection with temporal smoothing transformers.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition Real-time online video detection with temporal smoothing transformers

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:27:40.298126Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers