Paper Citation Record · LEDGER

Normalized Gradients for All

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2308.05621.

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

pith.paper-citation-record.v1
2308.05621 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:10.173055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:04:45.249124Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b86d2590-5808-45dc-b823-0f3bbfcefae2 · inbound

Training Deep Learning Models with Norm-Constrained LMOs cites this paper.

Training Deep Learning Models with Norm-Constrained LMOs Normalized Gradients for All

Reference 201

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T21:22:37.077202Z

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 9bb9c299-cac0-4b00-a284-ab1de3f4a0da · inbound

Glocal Smoothness: Line search and adaptive step sizes can help in theory too! cites this paper.

Glocal Smoothness: Line search and adaptive step sizes can help in theory too! Normalized Gradients for All

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:00:52.243994Z

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 697105f1-47ad-4c49-84b3-236b98b37cd2 · inbound

SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration cites this paper.

SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration Normalized Gradients for All

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:10.173055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b294c62b-46ac-4af6-8ee9-5afcaa70cf19 · inbound

Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization cites this paper.

Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization Normalized Gradients for All

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:08.087181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e49d20-8ae1-448d-863e-01dd7de3ab65 · inbound

AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates cites this paper.

AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates Normalized Gradients for All

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T11:25:45.035920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5938504b-6833-4ef0-89df-25d93ece93bc · inbound

Optimal Projection-Free Adaptive SGD for Matrix Optimization cites this paper.

Optimal Projection-Free Adaptive SGD for Matrix Optimization Normalized Gradients for All

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:58:15.730379Z

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 262390be-1b2b-4bd2-bd3c-461b3dfb44b2 · inbound

Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates cites this paper.

Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates Normalized Gradients for All

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:41:05.436600Z

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 5e3d897c-ec10-4a8d-bafa-aa34785c4541 · inbound

Function-free Optimization via Comparison Oracles cites this paper.

Function-free Optimization via Comparison Oracles Normalized Gradients for All

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:09:16.827801Z

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 9b1d2338-fcbc-4e2b-98a2-94d06fb65a26 · inbound

AdaGrad does not adapt to H\"older-smoothness for composite objectives cites this paper.

AdaGrad does not adapt to H\"older-smoothness for composite objectives Normalized Gradients for All

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:04:45.251069Z

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.