Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:33:18.591792Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.01223.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:33:18.591792Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation db8c61e3-3734-4bfb-beaa-9bf2415b993a · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, Possible generalization of Boltzmann–Gibbs statistics, Journal of Statistical Physics 52 (1988) 479–487
Reference 1
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Reference 2
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Observation a72cf68e-e736-485c-9344-e2c5871e55ce · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Entropy measures and their applications: A comprehensive review
Reference 3
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Observation 84b2e5bd-6ae0-4750-8e20-f297742fa126 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, Introduction to Nonextensive Statistical Mechanics: Ap- proaching a Complex World, Springer, New York, 2009
Reference 4
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Observation feba4b6c-a055-49ce-996c-565f5ae714c4 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Naudts, Generalised Thermostatistics, Springer, London, 2011
Reference 5
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Observation ab3b7872-7ffd-4bc9-a3d8-30e370a6cc28 · outbound
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Reference 6
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Observation cb69caf9-5457-4cb3-9dff-66227b537d51 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Gell-Mann, C
Reference 7
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Observation c9d34bac-99fb-4992-961d-d05abe30a15a · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, Beyond Boltzmann–Gibbs–Shannon in physics and elsewhere, Entropy 21 (2019) 696
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Observation d0868711-f19d-43af-a536-4fc28dfee5bd · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Penrose, Foundations of Statistical Mechanics: A Deductive Treat- ment, Pergamon Press, Oxford, 1970
Reference 9
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Observation 560e194e-af02-4f9f-8fc8-f5fbb9b2e459 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Furuichi, Information theoretical properties of Tsallis entropies, Jour- nal of Mathematical Physics 47 (2006) 023302
Reference 10
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Observation 0b321bc6-2ecd-4ecf-a664-62798bf225bb · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, R
Reference 11
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Observation a69c35da-6166-4468-8aab-932a0fed45dd · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Nielsen, R
Reference 12
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Observation f9e451d4-d6f6-4295-ab84-f7104c8a414f · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Hanel, S
Reference 13
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Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 14
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Observation 09ff0ecb-6c0a-4303-8255-6dffac914d9b · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Umarov, C
Reference 15
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Observation dcc1587f-bfe3-4882-8dac-a5d0c3d746d2 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 16
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Observation 3772ddf4-c44d-4085-8450-e8221c42b901 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Prato, C
Reference 17
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Observation 615d922d-e9ae-42ae-9384-d0c0874f6c55 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 18
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Observation b2231a82-ded4-42aa-be6a-a2835c9a5ab8 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 19
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Observation da2ce22c-c336-4cef-82ed-f57e9535af94 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Peters, V
Reference 20
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Observation d1466e52-e6e9-45a0-90a7-e631b778a5a9 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 21
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Observation 14c170f1-f170-4642-ae0e-fb8037049c83 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Blondel, A
Reference 22
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Observation cbefe390-45ca-4400-a157-56d5048e75ef · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Sparse and Continuous Attention Mechanisms
Reference 23
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Perspectives on Tsallis Statistics for Artificial Intelligence Sparse Continuous Distributions and Fenchel-Young Losses
Reference 24
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Observation 28deed5a-8232-48b4-a149-b56f4871bb8e · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Gonçalves, M
Reference 25
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Perspectives on Tsallis Statistics for Artificial Intelligence Vasylenko, H
Reference 26
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Observation 69856bc5-7b8d-499b-bf53-780064c74fe2 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Haarnoja, A
Reference 27
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Reference 28
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Observation 29c49c84-416a-432e-8bc7-cd17df735803 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning
Reference 29
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Observation 1262f0e0-aea0-4541-a732-4bdb83223d29 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 30
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Observation 2b68850c-a11d-4c3b-8d8c-b8d710eefa27 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence A Theory of Regularized Markov Decision Processes
Reference 31
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Observation 105cf6bc-db27-40db-9481-a15b4e21ce9f · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Munchausen Reinforcement Learning
Reference 32
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Observation ea36e03d-4eec-4a65-a8fc-d1c7ec0e5962 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
Reference 33
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Observation f65295c4-291f-44ff-816f-457dc92a0c70 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Zhang, S
Reference 34
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Observation 6db4eafb-e19a-4c80-b130-8b1c4c7adb7e · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Predicting Attention Sparsity in Transformers
Reference 35
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Observation 1bf34965-4c2a-4866-878f-600cdbe1c1a1 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Sparse Graph Attention Networks
Reference 36
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Observation b5f568c6-942a-46b7-b9a3-389a18881094 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Reference 37
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Observation 693170bc-9347-44aa-be91-9e58663ce955 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 38
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Observation ba1efa52-8213-4440-85cf-2de89efdb523 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Takahashi, T
Reference 39
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Observation e1fe679a-dd15-455d-a896-2536951e468c · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Star-Shaped Denoising Diffusion Probabilistic Models
Reference 40
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Observation e78e911a-1f8d-40eb-b81c-359ba12563a7 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Heavy-Tailed Diffusion Models
Reference 41
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Reference 42
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Observation 7be93606-f979-4bd9-8d49-ed6d652fa2aa · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence van der Maaten, G
Reference 43
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Observation 2df78168-a4ff-4125-8f72-dd6bde5c25fb · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Zhang, M
Reference 44
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Perspectives on Tsallis Statistics for Artificial Intelligence Two-temperature logistic regression based on the Tsallis divergence
Reference 45
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Perspectives on Tsallis Statistics for Artificial Intelligence Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
Reference 46
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Observation e886a9b3-632a-40f7-be40-edfdc96a5112 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, D
Reference 47
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Observation 1731f578-7e0b-4e2a-828e-1ffb90bb9e5f · outbound
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Reference 48
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Observation f5ad3b19-7341-4f56-a864-f26b9dc1b0c6 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work
Reference 49
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Observation cff575e7-54cb-4149-93f8-ebb94254f8f1 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Şimşekli, L
Reference 50
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Perspectives on Tsallis Statistics for Artificial Intelligence The Heavy-Tail Phenomenon in SGD
Reference 51
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Observation 2df48e7d-70d9-4c6f-aca7-32b3fc4a2ae0 · outbound
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Reference 52
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Observation 73a61d7f-1348-4bff-8101-0779609e941c · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Reference 53
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Observation baea902a-07eb-4d84-bddc-4185221bfbc5 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Reference 54
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Observation d4855ecc-eccf-4605-bce6-6e989a0a2545 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Amari, Information Geometry and Its Applications, volume 194 ofApplied Mathematical Sciences, Springer, 2016
Reference 55
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Observation 557e15ca-7506-4dec-b2c3-96f1b3237c6a · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Amari, A
Reference 56
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Observation 34f1bc68-22d0-4da0-9a98-06342ba57cf3 · outbound
Perspectives on Tsallis Statistics for Artificial Intelligence Korbel, R
Reference 57
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Reference 2020
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No inbound Pith citation observations are available.