Paper Citation Record · LEDGER

Gradient Methods with Online Scaling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.01803.

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

pith.paper-citation-record.v1
2411.01803 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:10:09.008540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:10:38.773594Z

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 3ea42a4d-5fdf-4220-b05e-a03902fc660f · inbound

Gradient Methods with Online Scaling Part I. Theoretical Foundations cites this paper.

Gradient Methods with Online Scaling Part I. Theoretical Foundations Gradient Methods with Online Scaling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:09.008540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c89bf7-c7bd-4509-83aa-2b04b4e347c3 · inbound

Enhanced PDHG for Linear Programming with Online Preconditioning cites this paper.

Enhanced PDHG for Linear Programming with Online Preconditioning Gradient Methods with Online Scaling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:24.034634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e89cc8e-bae4-42cd-8adb-a09c3c5f8df7 · inbound

Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods cites this paper.

Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods Gradient Methods with Online Scaling

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:10:38.776036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 179524cd-0c4a-4d1c-8fd8-5fd2e8f6b635 · inbound

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention cites this paper.

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention Gradient Methods with Online Scaling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:09:23.271819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.