Paper Citation Record · LEDGER

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2412.19444.

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

pith.paper-citation-record.v1
2412.19444 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:46:12.809159Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:08.793867Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:32:09.949912Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy9
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c45f2ce4-c3c3-45bf-bb4f-0d9a0a9cdcb2 · outbound

This paper cites and Cevher, V.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods and Cevher, V

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.194961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 278785bd-5425-46eb-ab6d-3f5d84bc2c3a · outbound

This paper cites Each curve represents the mean of 8 random runs, with the shaded area indicating the standard error.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Each curve represents the mean of 8 random runs, with the shaded area indicating the standard error

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.181756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7bd8b8d-92d0-46b7-a34a-09a02de66a0e · outbound

This paper cites Each curve represents the mean of 8 random runs, with the shaded area indicating the standard error.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Each curve represents the mean of 8 random runs, with the shaded area indicating the standard error

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.168412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 070ed9ff-f296-4116-9887-60f3de0940c2 · outbound

This paper cites Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.720055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c2d11e5-ed4c-4ac2-a999-3ce1e98b44a9 · outbound

This paper cites gap of adaptive gradient methods in training deep neural networks.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods gap of adaptive gradient methods in training deep neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.154990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ebb75d1f-9d1c-48b9-8eec-06f1f1d01b14 · outbound

This paper cites Wide Residual Networks.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Wide Residual Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.804230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc5a68e-961b-49c9-b5e6-a34a28be9e7f · outbound

This paper cites an unresolved cited work.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:46:13.121956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98a583b5-3984-4c05-8aaf-ab7c112c2927 · outbound

This paper cites an unresolved cited work.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:46:13.104992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d9104c58-f93e-4607-845b-568c4f79db4b · outbound

This paper cites conference on machine learning.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods conference on machine learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.091232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed06d3cc-6451-4aec-8b93-c0ed8c6d5554 · outbound

This paper cites Stochastic Polyak Stepsize with a Moving Target.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Stochastic Polyak Stepsize with a Moving Target

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.761309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f04be3e1-1d6a-4c23-b25b-8c6f364a30a3 · outbound

This paper cites Each curve represents the mean of 8 random runs, with the shaded area indicating the standard error.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Each curve represents the mean of 8 random runs, with the shaded area indicating the standard error

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.071445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 758f17a2-29ae-4ddf-9ca1-55712a79097e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Adam: A Method for Stochastic Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.776291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e205dc3-d351-4631-9e22-db78b72f9e64 · outbound

This paper cites Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.771288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70e1030-d237-454b-8cb7-08542b25a244 · outbound

This paper cites Large Batch Training of Convolutional Networks.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Large Batch Training of Convolutional Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.799980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0623f153-eed2-4dce-8f30-f3a365d15da1 · outbound

This paper cites On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.809159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a9b6de-3a54-479f-925b-93ec2bf95955 · outbound

This paper cites and Tommasi, T.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods and Tommasi, T

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.034393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8abf8337-a83f-462e-946c-1bdc984d8e3e · outbound

This paper cites A Stochastic Line Search Method with Convergence Rate Analysis.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods A Stochastic Line Search Method with Convergence Rate Analysis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.790062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a444f1aa-1c71-4b22-9115-d3b67c3024dd · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.795898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de7761c-9ff8-4e6e-8099-ae4ac6d6189e · outbound

This paper cites The Road Less Scheduled.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods The Road Less Scheduled

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:12.756664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1df9e0f-e611-4b67-a705-adec0c2495c9 · outbound

This paper cites and Yang, T.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods and Yang, T

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.138063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b8987b1-9a4a-4dce-a53c-24fe2cb46f72 · outbound

This paper cites Orabona, F.

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Orabona, F

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:46:13.053028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 78bc8145-df67-48db-b8aa-820041ac313a · inbound

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization cites this paper.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Towards Simple and Provable Parameter-Free Adaptive Gradient Methods

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:10.057644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.