Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mirror Learning: A Unifying Framework of Policy Optimisation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.02373.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:14:33.865509Z
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
6
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0e1df8ad-64ea-4313-969d-753ef1a06b23 · inbound
Fast Convergence of Softmax Policy Mirror Ascent cites this paper.
Fast Convergence of Softmax Policy Mirror Ascent Mirror Learning: A Unifying Framework of Policy Optimisation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:14:33.865509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2517e4d0-afda-4d88-927b-a6d3a685f536 · inbound
How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.
How Should We Meta-Learn Reinforcement Learning Algorithms? Mirror Learning: A Unifying Framework of Policy Optimisation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:48:47.878994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7d9ea37-0998-4071-87ac-d849cf0e21e8 · inbound
LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback cites this paper.
LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback Mirror Learning: A Unifying Framework of Policy Optimisation
Reference 221
- Resolution
- verified exact
- local_arxiv, observed 2026-08-03T04:44:19.563649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.