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Paper Citation Record · LEDGER

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.17113.

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

pith.paper-citation-record.v1
2412.17113 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:07:24.760896Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:48:54.045266Z

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 23362e2a-c199-4b18-a865-c8c6fecf0b92 · inbound

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn cites this paper.

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:07:24.760896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:07:24.760896Z digest=sha256:9f1d1a94a600e5d9784662741fadab658c484cc80db80af734cf15c18a4edb4a

Observation f70732c3-e78c-447d-b9f7-793c88ad0058 · inbound

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

How Should We Meta-Learn Reinforcement Learning Algorithms? Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T14:48:54.113207Z

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.

source=arxiv_source observed=2026-08-06T14:48:46.513473Z digest=sha256:3c2ccda430369a08fdf8e716e815fc5905c0283e23b2b6cbfc1d0c53ed08d987