Paper Citation Record · LEDGER

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.04884.

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

pith.paper-citation-record.v1
2608.04884 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:46:01.083324Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

48 of 48 outbound references displayed

verified exact0
verified fuzzy25
unresolved20
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87c2ebcb-bf82-4161-b4d6-cb22f53f827c · outbound

This paper cites , title =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness , title =

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:02.106376Z

Source-reported events for the cited work

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Observation 85ebdbc2-b242-49a6-a24c-08c9e2ed4c69 · outbound

This paper cites an unresolved cited work.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Unresolved cited work

Reference 2

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Observation e59992bf-e75c-489f-bcb5-8a20dd59b75f · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness 2006 , publisher=

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Observation 841cc7ce-bc00-4e8b-bdff-0b4fcf3894a9 · outbound

This paper cites SIAM Journal on Optimization , volume =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness SIAM Journal on Optimization , volume =

Reference 4

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Observation 46bacbb5-6e3a-49c8-bf11-abb69fb4db0d · outbound

This paper cites Mathematical Programming , volume =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Mathematical Programming , volume =

Reference 5

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This paper cites SIAM Journal on Optimization , volume =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness SIAM Journal on Optimization , volume =

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:02.023917Z

Source-reported events for the cited work

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Observation 0ca55dba-ec8b-479a-8bd0-b7afb1787648 · outbound

This paper cites Proceedings of the 33rd International Conference on Machine Learning , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Proceedings of the 33rd International Conference on Machine Learning , year =

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:02.003985Z

Source-reported events for the cited work

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Observation f29681c8-cc71-41e1-83bd-4a9e8e30e9f9 · outbound

This paper cites Optimization Methods for Large-Scale Machine Learning , journal =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Optimization Methods for Large-Scale Machine Learning , journal =

Reference 8

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Observation a0aa7950-4e13-402f-84d1-83ff6fa4e41c · outbound

This paper cites Journal of Machine Learning Research , volume =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Journal of Machine Learning Research , volume =

Reference 9

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Source-reported events for the cited work

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Observation 77d0ad47-ccd5-4438-9748-8e15026494b1 · outbound

This paper cites and Ba, Jimmy , title =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness and Ba, Jimmy , title =

Reference 10

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Source-reported events for the cited work

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Observation cbb3b5ce-f769-477f-89b3-c595f24c96bd · outbound

This paper cites International Conference on Learning Representations , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness International Conference on Learning Representations , year =

Reference 11

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Source-reported events for the cited work

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Observation 069f34d6-6414-4aa1-9701-7b71e88d5c3f · outbound

This paper cites Muon is Scalable for LLM Training.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Muon is Scalable for LLM Training

Reference 12

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Source-reported events for the cited work

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Observation da46ace2-2029-4ea1-9578-9c294ffeb7d6 · outbound

This paper cites Proceedings of the 30th International Conference on Machine Learning , pages =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Proceedings of the 30th International Conference on Machine Learning , pages =

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.915978Z

Source-reported events for the cited work

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Observation 9dcaa4be-dc89-4d22-a024-d2bddddfb335 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 14

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Source-reported events for the cited work

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Observation 9e4ebaec-02db-4daa-839d-7fd7b0e1b4de · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness and Kaiser, Lukasz and Polosukhin, Illia , title =

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 160139e5-1105-479e-b434-72dd833e7754 · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Unresolved cited work

Reference 16

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Observation ad35f849-71a3-4ac5-87c5-98b8e431a537 · outbound

This paper cites International Conference on Learning Representations , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness International Conference on Learning Representations , year =

Reference 17

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Source-reported events for the cited work

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Observation eba498a0-0ba5-45db-a405-a3d19ab08ed3 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Advances in Neural Information Processing Systems , year =

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.825268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a603c76-b61e-48f0-b347-d7038fcd42d9 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Advances in Neural Information Processing Systems , year =

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1282613a-5198-4498-a01b-c8859691ff99 · outbound

This paper cites International Conference on Machine Learning , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness International Conference on Machine Learning , year =

Reference 20

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Observation 615741af-000a-4a40-bf2c-8a05f479b5a1 · outbound

This paper cites Conference on Learning Theory , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Conference on Learning Theory , year =

Reference 21

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Source-reported events for the cited work

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Observation cef57a9a-5519-4125-ae6c-e4c9700d0d6e · outbound

This paper cites , title =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness , title =

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.749309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0af4a439-91ac-409f-a8ca-9e7f2e715c8f · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Advances in Neural Information Processing Systems , year =

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.731338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22d7623b-b457-42a8-87ee-faee713de0aa · outbound

This paper cites Parameter-Agnostic Optimization under Relaxed Smoothness , booktitle =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Parameter-Agnostic Optimization under Relaxed Smoothness , booktitle =

Reference 24

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Observation 09026e7f-3061-4f39-abce-a482167574bd · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Advances in Neural Information Processing Systems , year =

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.696211Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0adaa648-1082-443d-9b6c-1df1ff8dd6a6 · outbound

This paper cites International Conference on Learning Representations , volume=.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness International Conference on Learning Representations , volume=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.677815Z

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Observation 75c53e6a-1e69-4ea5-917f-77d131f19fd6 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Advances in Neural Information Processing Systems , volume=

Reference 27

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This paper cites , title =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness , title =

Reference 28

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0590ac44-af79-48a1-8736-339e3cfa80f0 · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Optimization Methods and Software , volume =

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.630983Z

Source-reported events for the cited work

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Observation 520b9d01-111f-4ab0-9ad5-527b2001e49e · outbound

This paper cites Toward a Unified Theory of Gradient Descent under Generalized Smoothness.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Toward a Unified Theory of Gradient Descent under Generalized Smoothness

Reference 30

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Observation c7ed8135-a221-4fe8-b5a5-a79f9574c339 · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Advances in Neural Information Processing Systems , volume=

Reference 31

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Source-reported events for the cited work

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Observation 622c98a3-23da-4052-b015-9c335163c5e1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Advances in Neural Information Processing Systems , volume=

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.595950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25d27d7d-96d0-4f2d-8204-2e445bb46675 · outbound

This paper cites and Leike, Jan and Brown, Tom and Martic, Miljan and Legg, Shane and Amodei, Dario , title =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness and Leike, Jan and Brown, Tom and Martic, Miljan and Legg, Shane and Amodei, Dario , title =

Reference 33

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Observation 8828731e-8777-41ef-8e0e-4f920d98b6fc · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Unresolved cited work

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Observation 22e57482-75f2-4b7e-b7ed-99c2f982a226 · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence

Reference 35

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness arXiv preprint arXiv:2503.00229 , year=

Reference 36

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Why Do We Need Warm-up? A Theoretical Perspective

Reference 37

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Convergence of Steepest Descent and Adam under Non-Uniform Smoothness

Reference 38

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Observation d95696ca-f60c-4dbf-bf82-2b5f8cec386e · outbound

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A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Avoiding Bias in Clipped SGD for Overparameterized Models under Generalized Smoothness

Reference 39

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This paper cites SIAM Journal on Optimization , volume=.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness SIAM Journal on Optimization , volume=

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.554651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc235f14-d1a1-4987-9b12-345b35049744 · outbound

This paper cites Computational Optimization and Applications , volume=.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Computational Optimization and Applications , volume=

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.535540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 512fd8d2-e093-4fa2-92d0-e973e97ba553 · outbound

This paper cites Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under $(L_0,L_1)$-Smoothness.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under $(L_0,L_1)$-Smoothness

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T14:46:01.047421Z

Source-reported events for the cited work

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Observation 22102cbd-5736-4fc5-bf28-1bdbd619946c · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology , volume =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness ACM Transactions on Intelligent Systems and Technology , volume =

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.518776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 655cd83c-1df7-451b-a722-49d363860f92 · outbound

This paper cites and Nocedal, Jorge , title =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness and Nocedal, Jorge , title =

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T14:46:01.059550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22383fbf-139e-4ae3-812d-bdc776fd91f9 · outbound

This paper cites and Sekhari, Ayush and Shamir, Ohad and Srebro, Nathan and Sridharan, Karthik and Woodworth, Blake , title =.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness and Sekhari, Ayush and Shamir, Ohad and Srebro, Nathan and Sridharan, Karthik and Woodworth, Blake , title =

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.488804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4699237-76ed-42dd-a5ca-1138a0f1bb91 · outbound

This paper cites Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T14:46:01.070957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62eb67f3-b7e9-4dda-80f5-d594f776dd3e · outbound

This paper cites International Conference on Learning Representations , volume=.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness International Conference on Learning Representations , volume=

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:46:01.470704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 251c60b2-0020-48ff-8fbd-d100e39924b1 · outbound

This paper cites Near-Optimal Convergence of Accelerated Gradient Methods under Generalized and $(L_0, L_1)$-Smoothness.

A Few Accelerated Algorithms for Convex Optimization under $(H_0,H_1)$-Smoothness Near-Optimal Convergence of Accelerated Gradient Methods under Generalized and $(L_0, L_1)$-Smoothness

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T14:46:01.138352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.