Reasoning in machine vision by learning fast and slow thinking | Paper Citation Record

Observation 25b3f2a6-d401-4756-bd10-4ed9e8691937 · outbound

This paper cites American economic review 93(5), 1449–1475 (2003).

Reasoning in machine vision by learning fast and slow thinking American economic review 93(5), 1449–1475 (2003)

Reference 1

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This paper cites British Journal of Psychology 75(4), 451–468 (1984).

Reasoning in machine vision by learning fast and slow thinking British Journal of Psychology 75(4), 451–468 (1984)

Reference 2

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This paper cites Scientific American 15 (2012).

Reasoning in machine vision by learning fast and slow thinking Scientific American 15 (2012)

Reference 3

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This paper cites Advances in neural information processing systems 30 (2017).

Reasoning in machine vision by learning fast and slow thinking Advances in neural information processing systems 30 (2017)

Reference 4

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This paper cites Trends in cognitive sciences 7(10), 454–459 (2003).

Reasoning in machine vision by learning fast and slow thinking Trends in cognitive sciences 7(10), 454–459 (2003)

Reference 5

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This paper cites Medical image analysis 42, 60–88 (2017).

Reasoning in machine vision by learning fast and slow thinking Medical image analysis 42, 60–88 (2017)

Reference 6

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This paper cites Therapeutic advances in urology 14, 17562872221128791 (2022).

Reasoning in machine vision by learning fast and slow thinking Therapeutic advances in urology 14, 17562872221128791 (2022)

Reference 7

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This paper cites Communications Medicine 2(1), 133 (2022).

Reasoning in machine vision by learning fast and slow thinking Communications Medicine 2(1), 133 (2022)

Reference 8

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This paper cites Current directions in psychological science 24(4), 267–272 (2015).

Reasoning in machine vision by learning fast and slow thinking Current directions in psychological science 24(4), 267–272 (2015)

Reference 9

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This paper cites PloS one 14(11), 0224365 (2019).

Reasoning in machine vision by learning fast and slow thinking PloS one 14(11), 0224365 (2019)

Reference 10

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This paper cites ACM computing surveys (csur) 53(3), 1–34 (2020).

Reasoning in machine vision by learning fast and slow thinking ACM computing surveys (csur) 53(3), 1–34 (2020)

Reference 11

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This paper cites In: International Conference on Learning Representations (2016).

Reasoning in machine vision by learning fast and slow thinking In: International Conference on Learning Representations (2016)

Reference 12

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This paper cites Advances in neural information processing systems 30 (2017).

Reasoning in machine vision by learning fast and slow thinking Advances in neural information processing systems 30 (2017)

Reference 13

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This paper cites In: Proceedings 32 of the IEEE/CVF International Conference on Computer Vision, pp.

Reasoning in machine vision by learning fast and slow thinking In: Proceedings 32 of the IEEE/CVF International Conference on Computer Vision, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:30.938287Z

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This paper cites Nature Communications 15(1), 654 (2024).

Reasoning in machine vision by learning fast and slow thinking Nature Communications 15(1), 654 (2024)

Reference 15

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This paper cites Nature 622(7981), 156–163 (2023).

Reasoning in machine vision by learning fast and slow thinking Nature 622(7981), 156–163 (2023)

Reference 16

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This paper cites Nature 616(7956), 259–265 (2023).

Reasoning in machine vision by learning fast and slow thinking Nature 616(7956), 259–265 (2023)

Reference 17

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This paper cites Medical Image Analysis 89, 102918 (2023).

Reasoning in machine vision by learning fast and slow thinking Medical Image Analysis 89, 102918 (2023)

Reference 18

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This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

Reasoning in machine vision by learning fast and slow thinking In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

Reference 19

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This paper cites In: AAAI 2024 Spring Symposium on Clinical Foundation Models (2024).

Reasoning in machine vision by learning fast and slow thinking In: AAAI 2024 Spring Symposium on Clinical Foundation Models (2024)

Reference 20

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This paper cites Advances in neural information processing systems 27 (2014).

Reasoning in machine vision by learning fast and slow thinking Advances in neural information processing systems 27 (2014)

Reference 21

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This paper cites nature 529(7587), 484–489 (2016).

Reasoning in machine vision by learning fast and slow thinking nature 529(7587), 484–489 (2016)

Reference 22

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This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Reasoning in machine vision by learning fast and slow thinking Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 23

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This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

Reasoning in machine vision by learning fast and slow thinking V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 24

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This paper cites Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

Reasoning in machine vision by learning fast and slow thinking Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Reference 25

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This paper cites Nature 625(7995), 476–482 (2024).

Reasoning in machine vision by learning fast and slow thinking Nature 625(7995), 476–482 (2024)

Reference 26

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This paper cites DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search.

Reasoning in machine vision by learning fast and slow thinking DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Reference 27

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reasoning in machine vision by learning fast and slow thinking DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 28

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Observation 803bd2a1-c787-4b15-987e-77989d5e691b · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Reasoning in machine vision by learning fast and slow thinking Training Language Models to Self-Correct via Reinforcement Learning

Reference 29

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This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

Reasoning in machine vision by learning fast and slow thinking Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 30

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This paper cites Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

Reasoning in machine vision by learning fast and slow thinking Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 31

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This paper cites Let's Verify Step by Step.

Reasoning in machine vision by learning fast and slow thinking Let's Verify Step by Step

Reference 32

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This paper cites Solving math word problems with process- and outcome-based feedback.

Reasoning in machine vision by learning fast and slow thinking Solving math word problems with process- and outcome-based feedback

Reference 33

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Reasoning in machine vision by learning fast and slow thinking System 2 Attention (is something you might need too)

Reference 34

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Reasoning in machine vision by learning fast and slow thinking MIT press, ??? (2022)

Reference 35

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This paper cites Advances in neural information processing systems 35, 24824–24837 (2022).

Reasoning in machine vision by learning fast and slow thinking Advances in neural information processing systems 35, 24824–24837 (2022)

Reference 36

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Observation e5fa457f-0f2c-4ea0-8b66-67107d9cb611 · outbound

This paper cites In: Machine Learning Proceedings 1994, pp.

Reasoning in machine vision by learning fast and slow thinking In: Machine Learning Proceedings 1994, pp

Reference 37

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This paper cites ITAT (2019).

Reasoning in machine vision by learning fast and slow thinking ITAT (2019)

Reference 38

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Observation b671efaf-fa45-44ca-b4e0-a81a6d2fd91a · outbound

This paper cites Learning to ignore: rethinking attention in CNNs.

Reasoning in machine vision by learning fast and slow thinking Learning to ignore: rethinking attention in CNNs

Reference 39

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Observation 6578bd7e-9e2a-45e0-af1c-d335adfad5a7 · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

Reasoning in machine vision by learning fast and slow thinking Advances in Neural Information Processing Systems (2017)

Reference 40

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This paper cites Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces.

Reasoning in machine vision by learning fast and slow thinking Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces

Reference 41

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This paper cites https://arxiv.org/abs/2409.

Reasoning in machine vision by learning fast and slow thinking https://arxiv.org/abs/2409

Reference 42

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This paper cites Communications of the ACM 63(11), 139–144 (2020).

Reasoning in machine vision by learning fast and slow thinking Communications of the ACM 63(11), 139–144 (2020)

Reference 43

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This paper cites Frontiers in psychology 4, 917 (2013).

Reasoning in machine vision by learning fast and slow thinking Frontiers in psychology 4, 917 (2013)

Reference 44

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This paper cites On First-Order Meta-Learning Algorithms.

Reasoning in machine vision by learning fast and slow thinking On First-Order Meta-Learning Algorithms

Reference 45

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This paper cites Science 362(6419), 1140–1144 (2018).

Reasoning in machine vision by learning fast and slow thinking Science 362(6419), 1140–1144 (2018)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:28.635434Z

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Observation 593bf203-451b-403f-aea0-e6fda440e13c · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

Reasoning in machine vision by learning fast and slow thinking IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 47

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Observation d39af965-dcf2-43d7-a01b-2fc693547509 · outbound

This paper cites In: Medical Image Computing and Computer-assisted intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp.

Reasoning in machine vision by learning fast and slow thinking In: Medical Image Computing and Computer-assisted intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp

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This paper cites IEEE transactions on pattern analysis and machine intelligence 45(6), 7457–7476 (2022) 35.

Reasoning in machine vision by learning fast and slow thinking IEEE transactions on pattern analysis and machine intelligence 45(6), 7457–7476 (2022) 35

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:28.307573Z

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Observation d34d6463-fbba-4dd7-8def-1d5488e58768 · outbound

This paper cites Towards Sustainable Self-supervised Learning.

Reasoning in machine vision by learning fast and slow thinking Towards Sustainable Self-supervised Learning

Reference 50

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Observation 467bc67c-d2c7-4644-a635-fa3fd38ea0a4 · outbound

This paper cites The Lancet 389(10071), 815–822 (2017).

Reasoning in machine vision by learning fast and slow thinking The Lancet 389(10071), 815–822 (2017)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:28.163052Z

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Observation fb40249f-424a-4a86-9c73-c56147eb8374 · outbound

This paper cites Journal of Clinical Oncology 36(36), 3582–3590 (2018).

Reasoning in machine vision by learning fast and slow thinking Journal of Clinical Oncology 36(36), 3582–3590 (2018)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.964438Z

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Observation 67e1e422-4889-414c-bb90-63443c771c72 · outbound

This paper cites Cancer imaging 4(Spec No A), 42 (2004).

Reasoning in machine vision by learning fast and slow thinking Cancer imaging 4(Spec No A), 42 (2004)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.771488Z

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Observation a2f65f46-eb69-4220-a642-07c6005763d0 · outbound

This paper cites Cancers 14(6), 1524 (2022).

Reasoning in machine vision by learning fast and slow thinking Cancers 14(6), 1524 (2022)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.655065Z

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Observation bb35ab75-d6b6-4f5d-aeb1-af808c5377a3 · outbound

This paper cites Annals of internal medicine 165(7), 457–464 (2016).

Reasoning in machine vision by learning fast and slow thinking Annals of internal medicine 165(7), 457–464 (2016)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.527138Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46410243-023b-420b-8dc3-3f4444eed1f7 · outbound

This paper cites Gut 69(6), 977–980 (2020).

Reasoning in machine vision by learning fast and slow thinking Gut 69(6), 977–980 (2020)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.424526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c6f473f-29f2-4ea8-9e21-2ce5d2405db7 · outbound

This paper cites 715–726 (2021).

Reasoning in machine vision by learning fast and slow thinking 715–726 (2021)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.282555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dafd714a-bae8-47da-85c6-ca7fb4ba89b9 · outbound

This paper cites Medical Image Analysis 95, 103181 (2024).

Reasoning in machine vision by learning fast and slow thinking Medical Image Analysis 95, 103181 (2024)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.146587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1bb43925-df93-4c80-964a-2f3caf7fcd21 · outbound

This paper cites Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.

Reasoning in machine vision by learning fast and slow thinking Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Reference 59

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:16:22.286897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83e0638d-f771-4f61-a114-e7172444b37a · outbound

This paper cites Medical Image Analysis 78, 102427 (2022) 36.

Reasoning in machine vision by learning fast and slow thinking Medical Image Analysis 78, 102427 (2022) 36

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:27.015367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5214a298-ca7f-44da-93fe-78af36c697e5 · outbound

This paper cites In: International Workshop on Applications of Medical AI, pp.

Reasoning in machine vision by learning fast and slow thinking In: International Workshop on Applications of Medical AI, pp

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:26.840531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c26033a-8062-4c6e-9e59-126bcccf9b14 · outbound

This paper cites Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images.

Reasoning in machine vision by learning fast and slow thinking Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images

Reference 62

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:16:22.200323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0648989c-6725-4eef-ad01-a84483aed7b5 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Reasoning in machine vision by learning fast and slow thinking In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:26.615404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da742230-7935-47b0-8a36-be4d17750916 · outbound

This paper cites In: International Challenge on Kidney and Kidney Tumor Segmentation, pp.

Reasoning in machine vision by learning fast and slow thinking In: International Challenge on Kidney and Kidney Tumor Segmentation, pp

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:26.439446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c954b34e-2073-4c57-8471-b7a2cca1d035 · outbound

This paper cites The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes.

Reasoning in machine vision by learning fast and slow thinking The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:21.165818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3591ec-6554-474f-9a25-fc12ce253ac0 · outbound

This paper cites Cancers 14(15), 3648 (2022).

Reasoning in machine vision by learning fast and slow thinking Cancers 14(15), 3648 (2022)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:26.273824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d5736cc-c0f7-4ac7-ac2e-b5cc617944c1 · outbound

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

Reasoning in machine vision by learning fast and slow thinking DINOv2: Learning Robust Visual Features without Supervision

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:21.279292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de034058-8ea5-4e80-a1cd-5b9d19c2d459 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Reasoning in machine vision by learning fast and slow thinking In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:21.337526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b892443-1ecf-4409-9072-36af461cef0f · outbound

This paper cites In: International Conference on Machine Learning, pp.

Reasoning in machine vision by learning fast and slow thinking In: International Conference on Machine Learning, pp

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:26.111809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64481bfd-e6c4-4106-9c21-3224048c1bec · outbound

This paper cites Massively Parallel Methods for Deep Reinforcement Learning.

Reasoning in machine vision by learning fast and slow thinking Massively Parallel Methods for Deep Reinforcement Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:21.471740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d4d4554-8038-4003-a7ea-cae725022430 · outbound

This paper cites In: Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, pp.

Reasoning in machine vision by learning fast and slow thinking In: Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, pp

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:25.954461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9171d4bc-be69-49fc-8d0d-4292e4ee2678 · outbound

This paper cites IEEE signal processing magazine 35(1), 53–65 (2018).

Reasoning in machine vision by learning fast and slow thinking IEEE signal processing magazine 35(1), 53–65 (2018)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:25.822466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3baafc0-d780-42e7-8696-848ddc177e94 · outbound

This paper cites IEEE access 7, 36322–36333 (2019).

Reasoning in machine vision by learning fast and slow thinking IEEE access 7, 36322–36333 (2019)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:25.542245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d7f625f-2215-4890-ab5a-9b8c58532206 · outbound

This paper cites ACM Computing Surveys (CSUR) 54(3), 1–42 (2021).

Reasoning in machine vision by learning fast and slow thinking ACM Computing Surveys (CSUR) 54(3), 1–42 (2021)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:24.687403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3293797-6dab-4f19-a10e-1ada0d077202 · outbound

This paper cites arXiv (2021).

Reasoning in machine vision by learning fast and slow thinking arXiv (2021)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:24.158181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1780b0ce-febd-48c6-ba1e-b85168f3de66 · outbound

This paper cites Online; accessed Jun 2022 (2013).

Reasoning in machine vision by learning fast and slow thinking Online; accessed Jun 2022 (2013)

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:21.744963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73c19b1-27da-4657-98d2-f6d66d23a600 · outbound

This paper cites Scientific Data 7(1), 1–9 (2020).

Reasoning in machine vision by learning fast and slow thinking Scientific Data 7(1), 1–9 (2020)

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:23.992660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06513053-d05d-4908-a424-747c63c01878 · outbound

This paper cites Medical Image Analysis 69, 101950 (2021).

Reasoning in machine vision by learning fast and slow thinking Medical Image Analysis 69, 101950 (2021)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:23.706355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a051683-4e37-49ec-8158-dcd83e478770 · outbound

This paper cites Advances in neural information processing systems 35, 36722–36732 (2022).

Reasoning in machine vision by learning fast and slow thinking Advances in neural information processing systems 35, 36722–36732 (2022)

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:21.873154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540335ac-c985-4129-8273-86ed794eea67 · outbound

This paper cites The Lancet 389(10071), 815–822 (2017).

Reasoning in machine vision by learning fast and slow thinking The Lancet 389(10071), 815–822 (2017)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:23.345445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5832b3d9-c4e3-4085-a6d1-bf40da8d51f8 · outbound

This paper cites Medical image analysis 67, 101821 (2021).

Reasoning in machine vision by learning fast and slow thinking Medical image analysis 67, 101821 (2021)

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:23.084843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d85a75b4-9a09-4edd-95c5-0662409b91bc · outbound

This paper cites Nature methods 18(2), 203–211 (2021).

Reasoning in machine vision by learning fast and slow thinking Nature methods 18(2), 203–211 (2021)

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:22.002677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2e747e-7a16-437e-a982-2cfd4cfe105b · outbound

This paper cites IEEE access 6, 58774–58783 (2018).

Reasoning in machine vision by learning fast and slow thinking IEEE access 6, 58774–58783 (2018)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:16:22.807180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8b52c3b-072d-4359-9643-1e33ccfcd00c · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Reasoning in machine vision by learning fast and slow thinking mixup: Beyond Empirical Risk Minimization

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:22.082977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers