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Paper Citation Record · LEDGER

Survey on Fair Reinforcement Learning: Theory and Practice

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.10032.

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

pith.paper-citation-record.v1
2205.10032 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:01:02.977333Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:45:21.074090Z

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 023d2b39-243d-41fa-be70-f067772cfd0e · inbound

DECAF: Learning to be Fair in Multi-agent Resource Allocation cites this paper.

DECAF: Learning to be Fair in Multi-agent Resource Allocation Survey on Fair Reinforcement Learning: Theory and Practice

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T23:01:02.977333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:01:02.977333Z digest=sha256:fc9bec33898745bc02b493aca80665a42fd649434b15454600f8a38b1f3c61b4

Observation e4eceba7-2041-4262-bcb9-f3ada5f86d3d · inbound

A Causal Lens for Learning Long-term Fair Policies cites this paper.

A Causal Lens for Learning Long-term Fair Policies Survey on Fair Reinforcement Learning: Theory and Practice

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:44.196535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:44.196535Z digest=sha256:5f3ea7b51e6d4a051e214bf63c583060783ebd7d4ef7c12f0ae29d343b7d9a98

Observation 4f07cdff-e430-47f1-a914-9ee92b750bd8 · inbound

The Fair Game: Auditing & Debiasing AI Algorithms Over Time cites this paper.

The Fair Game: Auditing & Debiasing AI Algorithms Over Time Survey on Fair Reinforcement Learning: Theory and Practice

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:45:21.078868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:45:20.520420Z digest=sha256:a0990a5fb2fd77ff84f26dd2c70670925a3b855f497b10f57de9d94d492576a4