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Paper Citation Record · LEDGER

Stochastic Autoregressive Learning

As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2608.07224.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.07224 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:34:33.812415Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

54 of 54 outbound references displayed

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  • verified fuzzy26
  • unresolved24
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3905ed4f-6b8e-46e5-b7d2-01772eb5f192 · outbound

This paper cites Scale-sensitive dimen- sions, uniform convergence, and learnability.Journal of the ACM, 44(4):615–631, 1997.

Stochastic Autoregressive Learning Scale-sensitive dimen- sions, uniform convergence, and learnability.Journal of the ACM, 44(4):615–631, 1997

Reference 1

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Source-reported events for the cited work

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Observation a96662a3-19c6-4130-a663-ee7b8e414720 · outbound

This paper cites Bartlett.Neural Network Learning: Theoretical Foundations.

Stochastic Autoregressive Learning Bartlett.Neural Network Learning: Theoretical Foundations

Reference 2

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Observation 9e173dcd-cf51-4010-8ee2-760d54bc8aef · outbound

This paper cites Bartlett, Philip M.

Stochastic Autoregressive Learning Bartlett, Philip M

Reference 3

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Observation 24767e67-d6ee-4bf5-9c1d-ba24ded21d31 · outbound

This paper cites Cambridge Univer- sity Press, 2006.

Stochastic Autoregressive Learning Cambridge Univer- sity Press, 2006

Reference 4

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Observation 51ef4bad-d23e-45e5-9d4f-4f64232ccb19 · outbound

This paper cites Cover and Joy A.

Stochastic Autoregressive Learning Cover and Joy A

Reference 5

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Observation aa61babc-4933-4e82-bd5e-8225a7e3e21c · outbound

This paper cites Freedman.

Stochastic Autoregressive Learning Freedman

Reference 6

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 59d67649-efb5-4087-84ec-1fc24f22aac0 · outbound

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Stochastic Autoregressive Learning Unresolved cited work

Reference 7

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Observation 74c567b4-74ba-4a5d-9039-bfbf14bdeb0d · outbound

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Stochastic Autoregressive Learning Unresolved cited work

Reference 8

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Observation c6243f71-98f1-4d3c-9376-697f72b8a026 · outbound

This paper cites Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End.

Stochastic Autoregressive Learning Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End

Reference 9

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Observation 7668f925-1a5d-42c9-ad73-5cc2b8d7c796 · outbound

This paper cites Decision theoretic generalizations of the PAC model for neural net and other learning applications.Information and Computation, 100(1):78–150, 1992.

Stochastic Autoregressive Learning Decision theoretic generalizations of the PAC model for neural net and other learning applications.Information and Computation, 100(1):78–150, 1992

Reference 10

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Observation fe6554e9-6a08-44d0-8d41-7e1c03ae4b3e · outbound

This paper cites Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds.

Stochastic Autoregressive Learning Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds

Reference 11

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Observation ed9853da-eb62-4052-9677-7d21c433118f · outbound

This paper cites A theory of learning with autoregressive chain of thought.

Stochastic Autoregressive Learning A theory of learning with autoregressive chain of thought

Reference 12

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Observation 8d9352b6-8a1e-4f50-a5f6-7a5aab99be32 · outbound

This paper cites Entropy and the combinatorial dimension.Inven- tiones Mathematicae, 152(1):37–55, 2003.

Stochastic Autoregressive Learning Entropy and the combinatorial dimension.Inven- tiones Mathematicae, 152(1):37–55, 2003

Reference 13

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Observation a3464d94-7c82-4d65-a80d-02841d755af9 · outbound

This paper cites Combinatorics of random processes and sections of convex bodies.Annals of Mathematics, 164(2):603–648, 2006.

Stochastic Autoregressive Learning Combinatorics of random processes and sections of convex bodies.Annals of Mathematics, 164(2):603–648, 2006

Reference 14

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Observation d80d09d3-d3e9-4997-873e-4013d1ff178b · outbound

This paper cites Tsybakov.Introduction to Nonparametric Estimation.

Stochastic Autoregressive Learning Tsybakov.Introduction to Nonparametric Estimation

Reference 15

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Observation fc551f15-46ed-41de-b8de-f34335c3c0ef · outbound

This paper cites van de Geer.Empirical Processes in M-Estimation.

Stochastic Autoregressive Learning van de Geer.Empirical Processes in M-Estimation

Reference 16

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Observation 8d6c8426-9051-4623-ad3b-88b921beae02 · outbound

This paper cites A game of prediction with expert advice.Journal of Computer and System Sciences, 56(2):153–173, 1998.

Stochastic Autoregressive Learning A game of prediction with expert advice.Journal of Computer and System Sciences, 56(2):153–173, 1998

Reference 17

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Observation a7911910-4242-4039-8a8b-d5b3b1dbde2a · outbound

This paper cites Optimal learning with Q-aggregation.The Annals of Statistics, 42(1):211–224, 2014.

Stochastic Autoregressive Learning Optimal learning with Q-aggregation.The Annals of Statistics, 42(1):211–224, 2014

Reference 18

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Source-reported events for the cited work

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Observation 42cf11da-6b0b-41d1-91a5-730342c8a1d0 · outbound

This paper cites Noise-tolerant learning, the parity problem, and the statistical query model.Journal of the ACM, 50(4):506–519, 2003.

Stochastic Autoregressive Learning Noise-tolerant learning, the parity problem, and the statistical query model.Journal of the ACM, 50(4):506–519, 2003

Reference 19

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Observation 2439f7b5-9e6c-46fa-bace-69cdd6c9115a · outbound

This paper cites Assouad, Fano, and Le Cam.

Stochastic Autoregressive Learning Assouad, Fano, and Le Cam

Reference 20

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Observation fdbb176a-1e92-46d6-837f-4e2b05db3503 · outbound

This paper cites Springer, 2004.

Stochastic Autoregressive Learning Springer, 2004

Reference 21

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Observation 0a2f92e2-82b6-401e-ac85-c44d41b39860 · outbound

This paper cites InAdvances in Neural Information Processing Sys- tems, 2025.

Stochastic Autoregressive Learning InAdvances in Neural Information Processing Sys- tems, 2025

Reference 22

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Observation 4a319686-d4c3-4ae1-943d-d550b0ae7c24 · outbound

This paper cites Learning probabilistic automata: A study in state distinguishability.Theoretical Computer Science, 473:46–60, 2013.

Stochastic Autoregressive Learning Learning probabilistic automata: A study in state distinguishability.Theoretical Computer Science, 473:46–60, 2013

Reference 23

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Observation 0440a4dc-2c51-46a9-80ab-ad9ca0248ab8 · outbound

This paper cites PAC-learnability of probabilistic deterministic finite state automata.Journal of Machine Learning Research, 5:473–497, 2004.

Stochastic Autoregressive Learning PAC-learnability of probabilistic deterministic finite state automata.Journal of Machine Learning Research, 5:473–497, 2004

Reference 24

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Observation b77ff619-cfd7-4b11-a85f-513638751ed3 · outbound

This paper cites A Theory of Online Learning with Autoregressive Chain-of-Thought Reasoning.

Stochastic Autoregressive Learning A Theory of Online Learning with Autoregressive Chain-of-Thought Reasoning

Reference 25

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Observation e75417d2-a315-4784-a1cf-666edc7581e9 · outbound

This paper cites Efficient noise-tolerant learning from statistical queries.

Stochastic Autoregressive Learning Efficient noise-tolerant learning from statistical queries

Reference 26

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Observation bc86a67f-f58f-43cd-b927-b922731d1851 · outbound

This paper cites Kearns and Robert E.

Stochastic Autoregressive Learning Kearns and Robert E

Reference 27

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dc315933-ac58-4c10-b26c-9e32de7c93e5 · outbound

This paper cites Kearns and Leslie G.

Stochastic Autoregressive Learning Kearns and Leslie G

Reference 28

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Observation df62f908-ebe6-4795-90d9-4b197573699b · outbound

This paper cites Large language models are zero-shot reasoners.

Stochastic Autoregressive Learning Large language models are zero-shot reasoners

Reference 29

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Observation e93e1506-a3ae-41f5-b808-941abd05b3b9 · outbound

This paper cites Tight sample complexity of transformers.

Stochastic Autoregressive Learning Tight sample complexity of transformers

Reference 30

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Source-reported events for the cited work

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Observation b3ef4cc2-2631-49c8-8868-db85bbe34c36 · outbound

This paper cites Chain of thought empowers transformers to solve inherently serial problems.

Stochastic Autoregressive Learning Chain of thought empowers transformers to solve inherently serial problems

Reference 31

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Observation 86caf0be-913f-49e0-8e40-8f27a289ed6c · outbound

This paper cites Let's Verify Step by Step.

Stochastic Autoregressive Learning Let's Verify Step by Step

Reference 32

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Observation c13b37dc-a14e-4112-9671-30a536847586 · outbound

This paper cites The Expressive Power of Transformers with Chain of Thought.

Stochastic Autoregressive Learning The Expressive Power of Transformers with Chain of Thought

Reference 33

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Observation cd532ae2-c0ff-45bf-8964-94886e342161 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Stochastic Autoregressive Learning Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 34

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Observation c1596d0e-c7c8-42ca-9a8d-815b5cb0ec3e · outbound

This paper cites A new learning paradigm: Learning using privileged information.Neural Networks, 22(5–6):544–557, 2009.

Stochastic Autoregressive Learning A new learning paradigm: Learning using privileged information.Neural Networks, 22(5–6):544–557, 2009

Reference 35

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raw_fallback, observed 2026-08-10T12:34:34.264960Z

Source-reported events for the cited work

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Observation 98d84774-4dac-49f8-aafa-4f84cc46d019 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Stochastic Autoregressive Learning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 36

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Observation 8b8ed332-3001-4a94-80a4-afb9c236c70e · outbound

This paper cites Le, and Denny Zhou.

Stochastic Autoregressive Learning Le, and Denny Zhou

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:34:34.253353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.751816Z digest=sha256:8d206c2b2382f7921caf609ca02efb7a04f5ec7d50c219e926cd72899d5a5002

Observation c1b3b3fa-fdf6-4c26-b850-e4cdcc614157 · outbound

This paper cites an unresolved cited work.

Stochastic Autoregressive Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T12:34:34.241884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.755452Z digest=sha256:fe1b409d1bed7af9e0e27544017de450d2a7b0c291a9794ef10f586f4c71238a

Observation 5baccdd8-4f5e-4662-ba9c-047ff0a10c0b · outbound

This paper cites van der Vaart and Jon A.

Stochastic Autoregressive Learning van der Vaart and Jon A

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:34:34.230498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.759317Z digest=sha256:ec6eaf1e4de34160a17142471d6e57320f20e4d41174c453dd01d1983ad57926

Observation 41990733-4c5b-497d-a14a-a4d8ef0ea746 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Stochastic Autoregressive Learning Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T12:34:33.763005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:34:33.763005Z digest=sha256:b4774df09592ccaf1e0e255f427af96f8817c6bf36a58994c3afb5d1872718a1

Observation 8bafdcde-cd99-4a87-9352-4df157ab5a38 · outbound

This paper cites Foster, Adam Block, and Dipendra Misra.

Stochastic Autoregressive Learning Foster, Adam Block, and Dipendra Misra

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:34:34.213290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.766825Z digest=sha256:5594d9865afbb5cb416729ddc2d9e76f2f174490c3cda2eebec6eedc5c3a400a

Observation 7b07d3e8-6e09-4126-8111-a369dd62a425 · outbound

This paper cites an unresolved cited work.

Stochastic Autoregressive Learning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T12:34:34.202905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.770532Z digest=sha256:e75101cf7f7b6b98b9bae4c38e1e9a5bee485215580807cfdfa18f5aaa59b1d9

Observation 713dec25-e5d9-48e5-89c5-ee71d9c9404c · outbound

This paper cites an unresolved cited work.

Stochastic Autoregressive Learning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T12:34:34.193056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.774347Z digest=sha256:422d9833f9839352c395f36593a32aaf7906598009a0b5072fec744f47116486

Observation 24df52ef-d409-44e7-803a-a4864f251f96 · outbound

This paper cites The curious case of neural text degeneration.

Stochastic Autoregressive Learning The curious case of neural text degeneration

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T12:34:33.778097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:34:33.778097Z digest=sha256:09fad2d60ce93b18f892591121522949bdf0a66f76fcc862596c7dcd21feed69

Observation 33d27bf2-053f-46d0-a485-93a7b5ca680f · outbound

This paper cites an unresolved cited work.

Stochastic Autoregressive Learning Unresolved cited work

Reference 45

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T12:34:34.031701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.781725Z digest=sha256:23bda7055529a7bb43715e90c49c9a440499364042e9136835d52b152adefb9c

Observation 12d3a31b-15bf-449c-a8c1-5863232a7179 · outbound

This paper cites Wiley, 1986.

Stochastic Autoregressive Learning Wiley, 1986

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:34:34.174406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.785173Z digest=sha256:bf2211e5c3e3bf3c2165cfcc1dc9cec1d5493c0bd42909588a471e8021e7ca21

Observation c4f40ca5-a4f2-4342-9fe8-20b4d30ea797 · outbound

This paper cites an unresolved cited work.

Stochastic Autoregressive Learning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-10T12:34:34.162938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.788527Z digest=sha256:6c3435c93b6d83c14043475dbedd7dc4a2214006d572b594f8c7fb5787310191

Observation 7207437e-a569-40b1-8422-55655cb05d5d · outbound

This paper cites Learning to Think from Multiple Thinkers.

Stochastic Autoregressive Learning Learning to Think from Multiple Thinkers

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-10T12:34:33.874931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.792014Z digest=sha256:3b62d048162605d8be35aab22b74d99d7cca6260adf469f75b4caa291498e7b0

Observation 17ccd7a2-6ece-475a-bb43-dbbe5b16b3a2 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

Stochastic Autoregressive Learning Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T12:34:33.795703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:34:33.795703Z digest=sha256:d6b74dfefb520223d037683b4b083a1c7888f237a92a81a6d61398ad39392ac1

Observation d7c14c93-f8c4-48ac-b1b3-0c63acea38f9 · outbound

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

Stochastic Autoregressive Learning Solving math word problems with process- and outcome-based feedback

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T12:34:33.798985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:34:33.798985Z digest=sha256:8942f7729501179ae3248ad97948928f833ddeeee154e506ae732536313bc7bf

Observation be6ecfc5-815d-4250-9d15-4ec9434e021f · outbound

This paper cites From sparse dependence to sparse attention: Unveiling how chain-of-thought enhances transformer sample efficiency.

Stochastic Autoregressive Learning From sparse dependence to sparse attention: Unveiling how chain-of-thought enhances transformer sample efficiency

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:34:34.145031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.802816Z digest=sha256:f38ee4b1abab5ad5f2edaabf90093607d09283ac09cf353c0ebdce060d6e5f38

Observation c95f617e-f98f-4939-90c7-d414f22ceb6a · outbound

This paper cites an unresolved cited work.

Stochastic Autoregressive Learning Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-10T12:34:34.133452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.806088Z digest=sha256:a9cb37e3184c882ddff9ac864891de1078a92d20eeab692cb6c069ccb2e385fd

Observation 17c4a9b4-6d29-457e-bbd2-6b5eb8632d13 · outbound

This paper cites Auto-regressive next-token predictors are universal learners.

Stochastic Autoregressive Learning Auto-regressive next-token predictors are universal learners

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:34:34.121960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.809217Z digest=sha256:73cf1c02754f8c878e676751c33ae5d073fcf204423e85b780a75d7852ccc095

Observation 909e4c81-52d7-40f0-a357-884a0b0c83b2 · outbound

This paper cites The Optimal Sample Complexity of Learning Autoregressive Chain-of-Thought.

Stochastic Autoregressive Learning The Optimal Sample Complexity of Learning Autoregressive Chain-of-Thought

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-10T12:34:33.848090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:34:33.812415Z digest=sha256:294a54ff4658fb608ab7fe382d6b3bcead466bedcc6d138bd40d470b3814bd36

Pith citing papers

No inbound Pith citation observations are available.