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Paper Citation Record · LEDGER

Policy Gradient for Reinforcement Learning with General Utilities

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.00991.

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

pith.paper-citation-record.v1
2210.00991 v2

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:43:00.040269Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:55:08.844282Z

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 22699b3b-7ddc-46f0-811d-a0fbd40a406e · inbound

Theoretical Foundations of $\max$@$k$ Reinforcement Learning cites this paper.

Theoretical Foundations of $\max$@$k$ Reinforcement Learning Policy Gradient for Reinforcement Learning with General Utilities

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T15:43:00.040269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:43:00.040269Z digest=sha256:85237a67adec77c6f907c842d77feda3edb2443136645b0463b7636f0809d47d

Observation 60ff3331-aebe-468e-9113-7fd653844445 · inbound

Robust General Utility for Reinforcement Learning cites this paper.

Robust General Utility for Reinforcement Learning Policy Gradient for Reinforcement Learning with General Utilities

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T14:55:08.848775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:55:08.124826Z digest=sha256:5af65f3d4bf1f5bcd53f2c4f0f4beb7afa75f9800b3b50002b43245f9a1a4d64