Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:16:59.185567Z
Paper Citation Record · LEDGER
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge
As of 23 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2508.17288.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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
Reference resolution
10 of 10 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 21e500f8-4131-4553-9f4c-8c872d85494e · outbound
This paper cites SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:16:59.145097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8857d48-a2fb-4254-9c28-a875520e6653 · outbound
This paper cites MoMo: Momentum Models for Adaptive Learning Rates.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge MoMo: Momentum Models for Adaptive Learning Rates
Reference 1969
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:16:59.185567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cd37360-f9b9-4467-9dd1-20d1074e2544 · outbound
This paper cites SARAH: a novel method for machine learning problems using stochastic recursive gradient.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge SARAH: a novel method for machine learning problems using stochastic recursive gradient
Reference 2001
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T17:16:59.289987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b272cc98-030d-462d-8609-7f695b3976b6 · outbound
This paper cites Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Reference 2011
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T17:16:59.269843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 73479cd1-5da0-4eff-889b-74185d6a43ba · outbound
This paper cites Adaptive Learning Rates for Faster Stochastic Gradient Methods.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge Adaptive Learning Rates for Faster Stochastic Gradient Methods
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:16:59.168255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f909ae24-62ce-4caf-a34c-3834df48234a · outbound
This paper cites Aleksandr Beznosikov and Martin Takáˇc.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge Aleksandr Beznosikov and Martin Takáˇc
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T17:16:59.311969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a1d4dd46-052a-4550-a214-f0858022f07f · outbound
This paper cites Prodigy: An Expeditiously Adaptive Parameter-Free Learner.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:16:59.177735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c50d1f44-5958-4621-8c9c-f70daea224e0 · outbound
This paper cites Cutting Some Slack for SGD with Adaptive Polyak Stepsizes.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge Cutting Some Slack for SGD with Adaptive Polyak Stepsizes
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:16:59.158704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfa78fd4-e21f-46aa-973a-e036e98018a4 · outbound
This paper cites SP2: A second order stochastic polyak method.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge SP2: A second order stochastic polyak method
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T17:16:59.301045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7c58ed40-e93e-47e1-a86e-b62131b8c4c3 · outbound
This paper cites Revisiting the Polyak step size.
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge Revisiting the Polyak step size
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:16:59.163782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.