Paper Citation Record · LEDGER

Learning to Optimize: A Primer and A Benchmark

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.12828.

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

pith.paper-citation-record.v1
2103.12828 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:28:22.465973Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:07:29.460993Z

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 5141c1dd-fa02-4f7a-8dbe-e7323555a600 · inbound

Time-dependent Gaussian basis sets for many-body systems using Rothe's method: A mean-field study cites this paper.

Time-dependent Gaussian basis sets for many-body systems using Rothe's method: A mean-field study Learning to Optimize: A Primer and A Benchmark

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:22.465973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13fb353-c5b6-4077-a4d3-87ee04128d36 · inbound

Transformers as Unrolled Inference in Probabilistic Laplacian Eigenmaps: An Interpretation and Potential Improvements cites this paper.

Transformers as Unrolled Inference in Probabilistic Laplacian Eigenmaps: An Interpretation and Potential Improvements Learning to Optimize: A Primer and A Benchmark

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T13:07:29.464617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9dbf09f4-aac0-4dbd-b64d-fea6953263d6 · inbound

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs cites this paper.

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs Learning to Optimize: A Primer and A Benchmark

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T13:28:45.450319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22060b3-0568-46d4-84f6-e62188dbc6e6 · inbound

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization cites this paper.

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization Learning to Optimize: A Primer and A Benchmark

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T23:34:43.678249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.