Pith. sign in

Paper Citation Record · LEDGER

Perspectives on Tsallis Statistics for Artificial Intelligence

As of 22 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.

pith.paper-citation-record.v1
2608.01223 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:33:18.591792Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact17
  • verified fuzzy12
  • unresolved23
  • parse uncertain0
  • malformed identifier6
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db8c61e3-3734-4bfb-beaa-9bf2415b993a · outbound

This paper cites Tsallis, Possible generalization of Boltzmann–Gibbs statistics, Journal of Statistical Physics 52 (1988) 479–487.

Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, Possible generalization of Boltzmann–Gibbs statistics, Journal of Statistical Physics 52 (1988) 479–487

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:28.583189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:16.994937Z digest=sha256:025b2784035ec0268be07a300dc53e59cbc03cdd98224c30e8865eab1e1d6862

Observation 184d9583-7911-42e8-a344-63036668cfe6 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.035309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.035309Z digest=sha256:0cde68fa44aeff5c0abdae54e62988b77521636ebd7f1f806c91e16aac30c122

Observation a72cf68e-e736-485c-9344-e2c5871e55ce · outbound

This paper cites Entropy measures and their applications: A comprehensive review.

Perspectives on Tsallis Statistics for Artificial Intelligence Entropy measures and their applications: A comprehensive review

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:23.024848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.055110Z digest=sha256:968b3404b9678cff9490dc8dde804e23e46d945cbf76b2fd855d66a74100b489

Observation 84b2e5bd-6ae0-4750-8e20-f297742fa126 · outbound

This paper cites Tsallis, Introduction to Nonextensive Statistical Mechanics: Ap- proaching a Complex World, Springer, New York, 2009.

Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, Introduction to Nonextensive Statistical Mechanics: Ap- proaching a Complex World, Springer, New York, 2009

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.081476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.081476Z digest=sha256:f37f054976906f5b23a96c1115eb4e85aa4f9750b6fd2f1b758f8ccf36ccab95

Observation feba4b6c-a055-49ce-996c-565f5ae714c4 · outbound

This paper cites Naudts, Generalised Thermostatistics, Springer, London, 2011.

Perspectives on Tsallis Statistics for Artificial Intelligence Naudts, Generalised Thermostatistics, Springer, London, 2011

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.086514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.086514Z digest=sha256:ca22ebd054e7343e2afed8b74c323a7f5255fb28b1167f82f68e560cb214bcaf

Observation ab3b7872-7ffd-4bc9-a3d8-30e370a6cc28 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:33:28.366528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.115589Z digest=sha256:792f7a8587d34a9cf2e38426cf976f0e8a2e1c76b3afaf9e58c4aa3d995b7e92

Observation cb69caf9-5457-4cb3-9dff-66227b537d51 · outbound

This paper cites Gell-Mann, C.

Perspectives on Tsallis Statistics for Artificial Intelligence Gell-Mann, C

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:28.207363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.124349Z digest=sha256:0a562a5fdc6801186b507270dd96ef95c2b412ab26af8b08db5e0ce4321518cd

Observation c9d34bac-99fb-4992-961d-d05abe30a15a · outbound

This paper cites Tsallis, Beyond Boltzmann–Gibbs–Shannon in physics and elsewhere, Entropy 21 (2019) 696.

Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, Beyond Boltzmann–Gibbs–Shannon in physics and elsewhere, Entropy 21 (2019) 696

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.127500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.127500Z digest=sha256:b8b9dd1eb11dd9962f97084db24c507edbf18083ac2dd692873cfef4c37aa526

Observation d0868711-f19d-43af-a536-4fc28dfee5bd · outbound

This paper cites Penrose, Foundations of Statistical Mechanics: A Deductive Treat- ment, Pergamon Press, Oxford, 1970.

Perspectives on Tsallis Statistics for Artificial Intelligence Penrose, Foundations of Statistical Mechanics: A Deductive Treat- ment, Pergamon Press, Oxford, 1970

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:27.976871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.130853Z digest=sha256:94b2fb72568edb90c653e7de855dd58d628e6d7287493c99f5bd423efc60e228

Observation 560e194e-af02-4f9f-8fc8-f5fbb9b2e459 · outbound

This paper cites Furuichi, Information theoretical properties of Tsallis entropies, Jour- nal of Mathematical Physics 47 (2006) 023302.

Perspectives on Tsallis Statistics for Artificial Intelligence Furuichi, Information theoretical properties of Tsallis entropies, Jour- nal of Mathematical Physics 47 (2006) 023302

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.133553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.133553Z digest=sha256:4a366e395f3bffe862afbcb40f3589350023f88565236944dfee4e92638641ce

Observation 0b321bc6-2ecd-4ecf-a664-62798bf225bb · outbound

This paper cites Tsallis, R.

Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, R

Reference 11

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:33:27.754888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.145647Z digest=sha256:f9a59e5602c2855fdc70a1c55bc456136c09a6af7429a0400d50784c905cea0d

Observation a69c35da-6166-4468-8aab-932a0fed45dd · outbound

This paper cites Nielsen, R.

Perspectives on Tsallis Statistics for Artificial Intelligence Nielsen, R

Reference 12

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:33:27.504764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.149168Z digest=sha256:7750cd3e657accc76713a39b6b47e8ee786f33916308801deb2eeb0b2d950822

Observation f9e451d4-d6f6-4295-ab84-f7104c8a414f · outbound

This paper cites Hanel, S.

Perspectives on Tsallis Statistics for Artificial Intelligence Hanel, S

Reference 13

Resolution
verified exact
doi, observed 2026-08-06T00:33:19.627968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.164853Z digest=sha256:10ba0140488c50c8c4a52fbfdab17f204c70a4fbd2e5ba1963b50fab155a08a3

Observation 65a9754d-ee41-4ae4-9999-1765bb77c59f · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 14

Resolution
malformed identifier
no resolver link, observed 2026-08-06T00:33:17.184858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.184858Z digest=sha256:f380cf7c4af62f0ec19b59f5f2aa211e2a8b66f49923b7980f5b966860f0fadb

Observation 09ff0ecb-6c0a-4303-8255-6dffac914d9b · outbound

This paper cites Umarov, C.

Perspectives on Tsallis Statistics for Artificial Intelligence Umarov, C

Reference 15

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:33:27.254824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.214824Z digest=sha256:d7bbc1c42f7523d976f6623c0e29ac3e50767019edba257ecf000bdab2d96bb5

Observation dcc1587f-bfe3-4882-8dac-a5d0c3d746d2 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 16

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:33:27.023060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.251605Z digest=sha256:cb2f5916c286a1bf2d208be741996b7206a798a4d12153136dc0c9774dfe546e

Observation 3772ddf4-c44d-4085-8450-e8221c42b901 · outbound

This paper cites Prato, C.

Perspectives on Tsallis Statistics for Artificial Intelligence Prato, C

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:26.738829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.256049Z digest=sha256:8c553ae3651306da7bf44e596486c01a7754e46748242a766a74488e5960295e

Observation 615d922d-e9ae-42ae-9384-d0c0874f6c55 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.263050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.263050Z digest=sha256:8ac548a8b5c5c1b48d59c4d37ff1dc0f8a3b875ac0817be2df433b5b67f242fc

Observation b2231a82-ded4-42aa-be6a-a2835c9a5ab8 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:33:26.464846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.271147Z digest=sha256:19edc2c1124bcc1b8bd9bdeefce66a9bdf5a5b78b1b00d7f760b0ff37957e531

Observation da2ce22c-c336-4cef-82ed-f57e9535af94 · outbound

This paper cites Peters, V.

Perspectives on Tsallis Statistics for Artificial Intelligence Peters, V

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.292117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.292117Z digest=sha256:a242b059aad921d14e02beed71a25c36eed40cb02237d32b76fdee38c191e09a

Observation d1466e52-e6e9-45a0-90a7-e631b778a5a9 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.313683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.313683Z digest=sha256:4f616bd7d66d61e51bd9379152f1ab40a254e6ef275dd59b1b8de9c7ea4451bc

Observation 14c170f1-f170-4642-ae0e-fb8037049c83 · outbound

This paper cites Blondel, A.

Perspectives on Tsallis Statistics for Artificial Intelligence Blondel, A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:26.274858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.354878Z digest=sha256:a4e930725b89e09fb7ea9b4e66104e7075b54ecab4cdb2ce01a88391cc8ed927

Observation cbefe390-45ca-4400-a157-56d5048e75ef · outbound

This paper cites Sparse and Continuous Attention Mechanisms.

Perspectives on Tsallis Statistics for Artificial Intelligence Sparse and Continuous Attention Mechanisms

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:22.690887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.379612Z digest=sha256:60bd09fa30cae7ff4788a1cd005f157a2afe23f4256a4c54223abe9a799d894d

Observation 17cb62ae-773b-41d6-be4b-3f0206c86e73 · outbound

This paper cites Sparse Continuous Distributions and Fenchel-Young Losses.

Perspectives on Tsallis Statistics for Artificial Intelligence Sparse Continuous Distributions and Fenchel-Young Losses

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:22.388298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.389483Z digest=sha256:2ee70a742d1cc3d043698ef51be9f7e37a5190b2da54d797212ddabe2f422c47

Observation 28deed5a-8232-48b4-a149-b56f4871bb8e · outbound

This paper cites Gonçalves, M.

Perspectives on Tsallis Statistics for Artificial Intelligence Gonçalves, M

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:26.080635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.410838Z digest=sha256:e39d836e93823fd2cdc033b4db80227fc1bd2ea8e3cedbd3d34edddfa39156ed

Observation cccf28ee-e11b-4ac5-b0bf-aecf2d7e3488 · outbound

This paper cites Vasylenko, H.

Perspectives on Tsallis Statistics for Artificial Intelligence Vasylenko, H

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.426670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.426670Z digest=sha256:9a86442961c4079d2a57cd9a332d5c4f14a1bcd4a205a4410997f243279034f2

Observation 69856bc5-7b8d-499b-bf53-780064c74fe2 · outbound

This paper cites Haarnoja, A.

Perspectives on Tsallis Statistics for Artificial Intelligence Haarnoja, A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:25.774750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.464748Z digest=sha256:adba61ed9bb00a04a02a29ac8ed4b65cd648e917b94cb3e356cc2e5f1d80bb33

Observation 455811f8-1f79-4993-8a02-6dfb4c1d357e · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 28

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T00:33:21.924758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.504761Z digest=sha256:7af5053278baf1bbdf655c71d89587cfbf41faeb30c746e06cf03dffd605c189

Observation 29c49c84-416a-432e-8bc7-cd17df735803 · outbound

This paper cites Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning.

Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.536985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.536985Z digest=sha256:7b08c1c3433eb4b2ee1d286e98eb969263d00b2fa1213e7971ee75c53226f05e

Observation 1262f0e0-aea0-4541-a732-4bdb83223d29 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:33:25.495539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.564744Z digest=sha256:3eb5d011c103a2f03089702d69912b69ea06e0d1429b194413f3191a16516f51

Observation 2b68850c-a11d-4c3b-8d8c-b8d710eefa27 · outbound

This paper cites A Theory of Regularized Markov Decision Processes.

Perspectives on Tsallis Statistics for Artificial Intelligence A Theory of Regularized Markov Decision Processes

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.614740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.614740Z digest=sha256:4a1fa323e7eed1d2bdca3996eeec93aeb12609a0e1c5ba722011e0ab1bb681dd

Observation 105cf6bc-db27-40db-9481-a15b4e21ce9f · outbound

This paper cites Munchausen Reinforcement Learning.

Perspectives on Tsallis Statistics for Artificial Intelligence Munchausen Reinforcement Learning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:21.055575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.664741Z digest=sha256:1c93a569ba18ea1ac140fba2646e3979932457cc6394ca5c9d0602285deaf96b

Observation ea36e03d-4eec-4a65-a8fc-d1c7ec0e5962 · outbound

This paper cites Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits.

Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.724749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.724749Z digest=sha256:fff86f899ce1baea99ffab22d5f7c253fce81cc5b738348b75e701e839456b0b

Observation f65295c4-291f-44ff-816f-457dc92a0c70 · outbound

This paper cites Zhang, S.

Perspectives on Tsallis Statistics for Artificial Intelligence Zhang, S

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:25.324844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.774748Z digest=sha256:9c2dd51b6021ac7925e69499cb4c185ca01ba53cf1db6f5d6b238f80f6abfa0b

Observation 6db4eafb-e19a-4c80-b130-8b1c4c7adb7e · outbound

This paper cites Predicting Attention Sparsity in Transformers.

Perspectives on Tsallis Statistics for Artificial Intelligence Predicting Attention Sparsity in Transformers

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.596817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.882968Z digest=sha256:226c59eb2ed5c38a3df1c46e909fbe4d9280153d7425aef68f054f8fc0ff9694

Observation 1bf34965-4c2a-4866-878f-600cdbe1c1a1 · outbound

This paper cites Sparse Graph Attention Networks.

Perspectives on Tsallis Statistics for Artificial Intelligence Sparse Graph Attention Networks

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.403681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:17.925149Z digest=sha256:0008a5384d46b7f049c39653f3a1e997c6917d95aa6c03e3a50b129552c29cfe

Observation b5f568c6-942a-46b7-b9a3-389a18881094 · outbound

This paper cites Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning.

Perspectives on Tsallis Statistics for Artificial Intelligence Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.975036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.975036Z digest=sha256:8b1ce4eef0ce8c602f5c3f8f875c303bb7f6ae50c4cbd9810600a5b2f0f0e88f

Observation 693170bc-9347-44aa-be91-9e58663ce955 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:33:25.065521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.014747Z digest=sha256:3a45c68112b08d84b564594e49b803bec8c91d0331835ebdc5f8d40ffafc3b99

Observation ba1efa52-8213-4440-85cf-2de89efdb523 · outbound

This paper cites Takahashi, T.

Perspectives on Tsallis Statistics for Artificial Intelligence Takahashi, T

Reference 39

Resolution
malformed identifier
no resolver link, observed 2026-08-06T00:33:18.055086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:18.055086Z digest=sha256:e044a83de00bf77c7d9d06606d8e13f9cf83a64cb3d552fe4ff853589313a3b1

Observation e1fe679a-dd15-455d-a896-2536951e468c · outbound

This paper cites Star-Shaped Denoising Diffusion Probabilistic Models.

Perspectives on Tsallis Statistics for Artificial Intelligence Star-Shaped Denoising Diffusion Probabilistic Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.365698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.094746Z digest=sha256:fdb7a4699802c0944380124bf7b57f257a0b531e7e15ac8c5b9afc24903e4d5a

Observation e78e911a-1f8d-40eb-b81c-359ba12563a7 · outbound

This paper cites Heavy-Tailed Diffusion Models.

Perspectives on Tsallis Statistics for Artificial Intelligence Heavy-Tailed Diffusion Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:18.144751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:18.144751Z digest=sha256:c15f74226739368e1c15d0e222c432d052016d818521fa8d74c38b29a353f96d

Observation a30a92e3-40fe-461c-b85d-e0a4d579f3a2 · outbound

This paper cites Heavy-Tailed Diffusion with Denoising L\'evy Probabilistic Models.

Perspectives on Tsallis Statistics for Artificial Intelligence Heavy-Tailed Diffusion with Denoising L\'evy Probabilistic Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.324152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.162553Z digest=sha256:5aa51b0f2cabf8a905b41b960750e8f9bcd8e385e30514765336fa78c9e6c1f7

Observation 7be93606-f979-4bd9-8d49-ed6d652fa2aa · outbound

This paper cites van der Maaten, G.

Perspectives on Tsallis Statistics for Artificial Intelligence van der Maaten, G

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:24.790634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.175368Z digest=sha256:d72e940fa00baa8b61ba14833f73257231be1b3994fb14e5624b76997c9d6719

Observation 2df78168-a4ff-4125-8f72-dd6bde5c25fb · outbound

This paper cites Zhang, M.

Perspectives on Tsallis Statistics for Artificial Intelligence Zhang, M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:24.484756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.186906Z digest=sha256:643a1e27f5730bbe235aad6227293328843cf3e263514c44219d6a0bdde4dc32

Observation 9c2ca8b8-6d57-477a-8efd-a9b7b3bf4ebb · outbound

This paper cites Two-temperature logistic regression based on the Tsallis divergence.

Perspectives on Tsallis Statistics for Artificial Intelligence Two-temperature logistic regression based on the Tsallis divergence

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.288694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.215835Z digest=sha256:bdb5f1d900bfbbd9b52f2eecf897ee2a7cec7cbd5d8d0eed14d4e1ff31fce1fc

Observation 70d28c16-3929-472e-8fff-2a26cbf897df · outbound

This paper cites Robust Bi-Tempered Logistic Loss Based on Bregman Divergences.

Perspectives on Tsallis Statistics for Artificial Intelligence Robust Bi-Tempered Logistic Loss Based on Bregman Divergences

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.228332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.232705Z digest=sha256:36418f0913af70fe6a9cfc707809af456b3d5e0f1124819a30f1b2b8a4b2ad7b

Observation e886a9b3-632a-40f7-be40-edfdc96a5112 · outbound

This paper cites Tsallis, D.

Perspectives on Tsallis Statistics for Artificial Intelligence Tsallis, D

Reference 47

Resolution
verified exact
doi, observed 2026-08-06T00:33:19.054763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.236249Z digest=sha256:a6b4d10535b53e6f4d0780c72f8c5af77f12d822ddbef2092897ea3b55a33af6

Observation 1731f578-7e0b-4e2a-828e-1ffb90bb9e5f · outbound

This paper cites The q-gradient method for global optimization.

Perspectives on Tsallis Statistics for Artificial Intelligence The q-gradient method for global optimization

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.114750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.274744Z digest=sha256:9eb026a004cf934ead4ba9ac2e754f661c875b47f4b3238f44dbabb1f1ef508a

Observation f5ad3b19-7341-4f56-a864-f26b9dc1b0c6 · outbound

This paper cites an unresolved cited work.

Perspectives on Tsallis Statistics for Artificial Intelligence Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:33:24.164754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.314842Z digest=sha256:628364ffbdcf665d39d45353004c1b1c9ff67810cb885925230a24ca93e1a470

Observation cff575e7-54cb-4149-93f8-ebb94254f8f1 · outbound

This paper cites Şimşekli, L.

Perspectives on Tsallis Statistics for Artificial Intelligence Şimşekli, L

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:23.804032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.374752Z digest=sha256:24e3011ea69a8adad2fc65d5d5663dc6c6872df44366e0c6cec9c538ae22f007

Observation ec3d0365-8012-44ca-a753-86b354271d46 · outbound

This paper cites The Heavy-Tail Phenomenon in SGD.

Perspectives on Tsallis Statistics for Artificial Intelligence The Heavy-Tail Phenomenon in SGD

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.044752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.414831Z digest=sha256:127db30a4ff95b174e1551749715341ce64ace25b7d632df8313cf2ba9cdfc28

Observation 2df48e7d-70d9-4c6f-aca7-32b3fc4a2ae0 · outbound

This paper cites Multiplicative noise and heavy tails in stochastic optimization.

Perspectives on Tsallis Statistics for Artificial Intelligence Multiplicative noise and heavy tails in stochastic optimization

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:18.454829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:18.454829Z digest=sha256:d2607d3a72328c967ed5ce5e47fd790e6b3b02510904c0bacf4c8ca6ba72d581

Observation 73a61d7f-1348-4bff-8101-0779609e941c · outbound

This paper cites Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks.

Perspectives on Tsallis Statistics for Artificial Intelligence Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:19.871401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.484832Z digest=sha256:24a9c56bc5800d323682fb90bc7ab4f4fd5e59ab007756955bdf975d9ff4b546

Observation baea902a-07eb-4d84-bddc-4185221bfbc5 · outbound

This paper cites Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks.

Perspectives on Tsallis Statistics for Artificial Intelligence Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:19.808401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.504752Z digest=sha256:d74b6798db3edd9ba36f173a565b550fbf74f4cc778817436f7496867919533e

Observation d4855ecc-eccf-4605-bce6-6e989a0a2545 · outbound

This paper cites Amari, Information Geometry and Its Applications, volume 194 ofApplied Mathematical Sciences, Springer, 2016.

Perspectives on Tsallis Statistics for Artificial Intelligence Amari, Information Geometry and Its Applications, volume 194 ofApplied Mathematical Sciences, Springer, 2016

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:18.532149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:18.532149Z digest=sha256:594afc4ea5cee93c3d10fc2d4dd8157aa2c546d13853e1e2e2eed4dd16599128

Observation 557e15ca-7506-4dec-b2c3-96f1b3237c6a · outbound

This paper cites Amari, A.

Perspectives on Tsallis Statistics for Artificial Intelligence Amari, A

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:18.564756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:18.564756Z digest=sha256:160de4413426c31e3501ce9f0ca3eb877d8f859ece19bbf9a11d86242e472dde

Observation 34f1bc68-22d0-4da0-9a98-06342ba57cf3 · outbound

This paper cites Korbel, R.

Perspectives on Tsallis Statistics for Artificial Intelligence Korbel, R

Reference 57

Resolution
verified exact
doi, observed 2026-08-06T00:33:18.724905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.583334Z digest=sha256:a67c29b9cf95a4de7136e1c005218410cd2e1f04db4dcb69ebf18a8e67d4c23c

Observation 2ce07f68-61b3-48da-a2d0-514596e74372 · outbound

This paper cites w_key"]) @ params[.

Perspectives on Tsallis Statistics for Artificial Intelligence w_key"]) @ params[

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:33:23.474271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:33:18.591792Z digest=sha256:940ba73f8ab3ae825ecc0f985773d60cf88514f61cbbe621e45a09a319ce764e

Observation 2cb0968c-b162-4856-bb1f-8958827466ae · outbound

This paper cites Why are Adaptive Methods Good for Attention Models?.

Perspectives on Tsallis Statistics for Artificial Intelligence Why are Adaptive Methods Good for Attention Models?

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:17.824749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:33:17.824749Z digest=sha256:502d7cacd1ab2ea2e7ac9783ba53fd96f5166e3023dfaa6aefc4991270f749b0

Pith citing papers

No inbound Pith citation observations are available.