Paper Citation Record · LEDGER

Step-size Optimization for Continual Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.17401.

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

pith.paper-citation-record.v1
2401.17401 v1

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:52:16.912981Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 960571c9-fdf4-4ff9-8814-7cb8836711fd · inbound

Learning to Forget: Continual Learning with Adaptive Weight Decay cites this paper.

Learning to Forget: Continual Learning with Adaptive Weight Decay Step-size Optimization for Continual Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.854064Z

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 ff5a70f0-9b7c-47c4-b339-396ce022d194 · inbound

Revisiting Adam for Streaming Reinforcement Learning cites this paper.

Revisiting Adam for Streaming Reinforcement Learning Step-size Optimization for Continual Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:15:51.985844Z

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 fb1c99a0-322b-4d65-8366-52ffb74ba763 · inbound

Anytime Training with Schedule-Free Spectral Optimization cites this paper.

Anytime Training with Schedule-Free Spectral Optimization Step-size Optimization for Continual Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:40:24.484726Z

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 68d1d2e2-d849-4f29-9a5b-f21463cf11a4 · inbound

Position: Deployed Reinforcement Learning should be Continual cites this paper.

Position: Deployed Reinforcement Learning should be Continual Step-size Optimization for Continual Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.617758Z

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.