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Paper Citation Record · LEDGER

Average-Reward Reinforcement Learning with Trust Region Methods

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.03442.

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

pith.paper-citation-record.v1
2106.03442 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:58:02.992888Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.750271Z

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 38faea7d-0567-4d26-9138-308f0ede6ca3 · inbound

Average Reward Reinforcement Learning for Wireless Radio Resource Management cites this paper.

Average Reward Reinforcement Learning for Wireless Radio Resource Management Average-Reward Reinforcement Learning with Trust Region Methods

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T20:58:02.992888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:58:02.992888Z digest=sha256:fd38808ac273586f22a001cd52a5163870ce5dc37993003189addf800af86178

Observation 0bc6b9d6-5972-481e-acdd-4019b2ad8d9a · inbound

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks cites this paper.

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Average-Reward Reinforcement Learning with Trust Region Methods

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T20:56:51.082564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:56:51.082564Z digest=sha256:2c4e02eebc6deb585a73d51fd902ac7642fb66fb44ac862f0e6d5ffd5c9bed02

Observation d6ac368f-d7fd-4462-929c-a4574422354e · inbound

A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs cites this paper.

A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs Average-Reward Reinforcement Learning with Trust Region Methods

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:56:06.647823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T16:55:51.365605Z digest=sha256:c741a06a8e8ed26db2342251b9179900d22d57f11b5d84bb3547cadf055f17ef

Observation 6121a5e4-ecbb-43f3-bc81-6c0a7aa6cc13 · inbound

Stationary Robust Mean-Field Games under Model Mismatches cites this paper.

Stationary Robust Mean-Field Games under Model Mismatches Average-Reward Reinforcement Learning with Trust Region Methods

Reference 205

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:42.752068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T10:50:40.841967Z digest=sha256:b378ce475be24bfb8a583aa895c728958f1ac8f41975bb93f1806ee375b43b4f