Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective | Paper Citation Record

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This paper cites Int Arab J Inf Technol 4(3):264--271, http://www.iajit.org/Vol.\.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Int Arab J Inf Technol 4(3):264--271, http://www.iajit.org/Vol.\

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This paper cites arXiv preprint arXiv:161200410.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective arXiv preprint arXiv:161200410

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This paper cites In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, OpenReview.net, ://openreview.net/forum?id=p-BhZSz59o4.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, OpenReview.net, ://openreview.net/forum?id=p-BhZSz59o4

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This paper cites In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, OpenReview.net, ://openreview.net/forum?id=xm6YD62D1Ub.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, OpenReview.net, ://openreview.net/forum?id=xm6YD62D1Ub

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This paper cites In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Int J Comput Vis 132(1):208--223, doi:10.1007/S11263-023-01852-4, ://doi.org/10.1007/s11263-023-01852-4

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This paper cites In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, OpenReview.net, ://openreview.net/forum?id=YicbFdNTTy.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, OpenReview.net, ://openreview.net/forum?id=YicbFdNTTy

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Cambridge University Press, doi:10.1017/CBO9780511761942, ://www.cambridge.org/gb/knowledge/isbn/item2705443/?site\_locale=en\_GB

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Stanford University Press, ://www.sup.org/books/title/?id=1341

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, OpenReview.net, ://openreview.net/forum?id=B1xwcyHFDr

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This paper cites Econometrica 59(3):637--666, ://www.jstor.org/stable/2938222.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Econometrica 59(3):637--666, ://www.jstor.org/stable/2938222

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Molecular cancer therapeutics 2(9):919--927

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, OpenReview.net, ://openreview.net/forum?id=Bklr3j0cKX

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Games and Economic Behavior 28(1):13--24, doi:https://doi.org/10.1006/game.1998.0691, ://www.sciencedirect.com/science/article/pii/S0899825698906911

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective arXiv preprint arXiv:170906011

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: 20th International Conference on Artificial Intelligence and Statistics

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Energy 189:116064, doi:https://doi.org/10.1016/j.energy.2019.116064, ://www.sciencedirect.com/science/article/pii/S0360544219317591

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective (2018) Scalable deep reinforcement learning for vision-based robotic manipulation

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Entropy 26(6):466, doi:10.3390/E26060466, ://doi.org/10.3390/e26060466

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective IEEE Transactions on Intelligent Transportation Systems

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective University of Toronto, ://www.cs.toronto.edu/ kriz/learning-features-2009-TR.pdf

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective IEEE Trans Emerg Top Comput Intell 7(1):190--199, doi:10.1109/TETCI.2022.3209394, ://doi.org/10.1109/TETCI.2022.3209394

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective IEEE Trans Image Process 28(10):5105--5120, doi:10.1109/TIP.2019.2914360, ://doi.org/10.1109/TIP.2019.2914360

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Neural Networks 167:415--432, doi:10.1016/J.NEUNET.2023.08.027, ://doi.org/10.1016/j.neunet.2023.08.027

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Self-Supervised Learning via Maximum Entropy Coding

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: British Politics And The Environment In The Long Nineteenth Century, Routledge, pp 77--84

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Journal of Theoretical Biology 47(1):209--221, doi:https://doi.org/10.1016/0022-5193(74)90110-6, ://www.sciencedirect.com/science/article/pii/0022519374901106

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This paper cites The Astrophysical Journal 531(2):739.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective The Astrophysical Journal 531(2):739

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.474644Z

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Representation Learning with Contrastive Predictive Coding

Reference 53

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This paper cites Transactions on Machine Learning Research ://openreview.net/forum?id=a68SUt6zFt.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Transactions on Machine Learning Research ://openreview.net/forum?id=a68SUt6zFt

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.447470Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ecd82564-bca1-427a-9cbe-64b7a85113ad · outbound

This paper cites MIT press.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective MIT press

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.427919Z

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Observation 01760993-8e46-4d77-b49e-e07a4841ae0e · outbound

This paper cites Cambridge university press.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Cambridge university press

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.406281Z

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Observation b675e0f7-aafb-4472-94ba-abbc3064955d · outbound

This paper cites John Wiley & Sons.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective John Wiley & Sons

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.385481Z

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Observation 8f6baa86-ce9c-4701-aba2-61d2c732219a · outbound

This paper cites an unresolved cited work.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Unresolved cited work

Reference 58

Resolution: verified exact; raw_fallback, observed 2026-08-12T05:22:35.541065Z

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Observation aa4fa46f-a09c-40ba-ab80-32b6292ea944 · outbound

This paper cites an unresolved cited work.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:37.366590Z

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Observation 72507d20-a013-4e76-a415-38d5ab03461c · outbound

This paper cites In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, OpenReview.net, ://openreview.net/forum?id=CR1XOQ0UTh-.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, OpenReview.net, ://openreview.net/forum?id=CR1XOQ0UTh-

Reference 60

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Observation 26b12de4-64e6-41fb-837b-60ec66a5d297 · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:37.322771Z

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Observation 3ee36c28-6a81-4581-8977-adaded3c48fe · outbound

This paper cites Proximal Policy Optimization Algorithms.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Proximal Policy Optimization Algorithms

Reference 62

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Int J Comput Vis 128(2):336--359, doi:10.1007/S11263-019-01228-7, ://doi.org/10.1007/s11263-019-01228-7

Reference 63

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Philosophical Transactions of the Royal Society A 378(2166):20190061

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.302323Z

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Observation f886ebba-82c7-4665-af4a-f0e27063ee65 · outbound

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Reference 65

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective (2017) Mastering the game of go without human knowledge

Reference 66

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective (2018) A general reinforcement learning algorithm that masters chess, shogi, and go through self-play

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.269777Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cbb9e784-141c-4ab1-bc17-96c281932996 · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:37.247349Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d1aa5139-51dd-4655-87ba-dd255845dc96 · outbound

This paper cites IEEE Trans Hum Mach Syst 53(1):201--214, doi:10.1109/THMS.2022.3225867, ://doi.org/10.1109/THMS.2022.3225867.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective IEEE Trans Hum Mach Syst 53(1):201--214, doi:10.1109/THMS.2022.3225867, ://doi.org/10.1109/THMS.2022.3225867

Reference 69

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Unavailable: canonical work link unavailable.

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Reference 70

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Unavailable: canonical work link unavailable.

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Publications of the American Statistical Association 103(481):429--429

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.226965Z

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Observation ab6de2ef-21f4-45b8-8397-c5113e33fde0 · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Unresolved cited work

Reference 72

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Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:37.206352Z

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Observation 1167c9fd-f65a-4f60-ac7b-f7459f21644d · outbound

This paper cites The information bottleneck method.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective The information bottleneck method

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:34.605952Z

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, OpenReview.net, ://openreview.net/forum?id=-bdp\_8Itjwp

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.185459Z

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Observation 8fae8633-bd65-4c75-a99d-7b9f2bf731a8 · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:37.166873Z

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Observation a854830c-1edc-4c35-a8a7-3b6dc655bd31 · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Journal of Optimization Theory and Applications 46(4):605--612

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.146495Z

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Observation cb450dfd-97bb-4c68-a85e-f8e9e7440ace · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective (2019) Grandmaster level in starcraft ii using multi-agent reinforcement learning

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.121655Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b88a7620-ad2c-49f7-b1ab-f7487868c9da · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, OpenReview.net, ://openreview.net/forum?id=ECvgmYVyeUz

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.099890Z

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Observation cde92124-d13a-408b-9356-41f1ea53c06a · outbound

This paper cites MIT press.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective MIT press

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.069937Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a7bd269-05eb-4589-804b-c160124c8649 · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, OpenReview.net, ://openreview.net/forum?id=CZ8Y3NzuVzO

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:22:37.046522Z

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Observation d79f31a3-b63a-46e3-9880-3753f3affe83 · outbound

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Reference 82

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Unavailable: canonical work link unavailable.

Observation 8bee7a29-c40f-49c7-9626-134d71f72f0e · outbound

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Reference 83

Resolution: verified exact; raw_fallback, observed 2026-08-12T05:22:35.162263Z

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Observation 8a6beadc-1903-4afc-8e7b-e7e8f5f20460 · outbound

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Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:37.024607Z

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Observation 7d3e26ff-131d-4975-8f0b-579b6405dd7c · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:37.000445Z

Source-reported events for the cited work

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Observation c1e51a70-476a-4c21-b442-1eac15198671 · outbound

This paper cites an unresolved cited work.

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Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:22:36.981308Z

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Observation 45646e3c-4eb6-4721-97bb-2bc6ae46c16b · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective , " * write output.state after.block = add.period write newline

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:34.684657Z

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Observation fe6f0c7b-8079-4647-9a55-1330dcbb7386 · outbound

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Reference 88

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective , " * write output.state after.block = add.period write newline

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:34.696308Z

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Unavailable: canonical work link unavailable.

Observation f09b9e13-b9ce-4621-9396-076a97d4b055 · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective write newline

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:34.701946Z

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Unavailable: canonical work link unavailable.

Observation 72e962fe-3797-450f-81de-e5651d489b6a · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective , " * write output.state after.block = add.period write newline

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:34.707734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83110c61-6ce4-49a3-8a73-0c78f30db38d · outbound

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Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective write newline

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T05:22:34.712959Z

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Pith citing papers