Paper Citation Record · LEDGER

A Generalizable Approach to Learning Optimizers

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.00958.

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

pith.paper-citation-record.v1
2106.00958 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:01:13.658742Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7a5bb2a7-603e-40d6-9368-97a907769e2a · inbound

Celo: Training Versatile Learned Optimizers on a Compute Diet cites this paper.

Celo: Training Versatile Learned Optimizers on a Compute Diet A Generalizable Approach to Learning Optimizers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:13.658742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1ada911-54b0-4002-9353-178cefe2b08b · inbound

Towards Robust Learning to Optimize with Theoretical Guarantees cites this paper.

Towards Robust Learning to Optimize with Theoretical Guarantees A Generalizable Approach to Learning Optimizers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:25:34.723979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b1374f-aa2b-4bff-a13f-84907f107a90 · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? A Generalizable Approach to Learning Optimizers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:44.948249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b6f220-4078-49ae-a99d-c7d4c6a00aac · inbound

The Importance of Encoder Choice:A Tabular-Image Study cites this paper.

The Importance of Encoder Choice:A Tabular-Image Study A Generalizable Approach to Learning Optimizers

Reference 140

Resolution: verified exact; local_arxiv, observed 2026-07-10T19:07:34.960270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.