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Paper Citation Record · LEDGER

Mirror Learning: A Unifying Framework of Policy Optimisation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.02373.

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

pith.paper-citation-record.v1
2201.02373 v11

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 2026-08-06T14:48:47.878994Z

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

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 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.

source=arxiv_source observed=2026-08-06T14:48:47.878994Z digest=sha256:1626841a4f5c2a4dc98f88162da30b769e5f3a04467ac0aeee5bc0660bc5c271

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-03T04:39:32.046971Z digest=sha256:bb7c7109bcc2ef5054af859c1513802b4f8a96ba7ca36b09f6fbc33feb0833a6