Pith. sign in

Paper Citation Record · LEDGER

Single-Trajectory Distributionally Robust Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.11721.

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

pith.paper-citation-record.v1
2301.11721 v2

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:55.493828Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T01:41:19.856098Z

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 ae1f8c9d-162f-4da7-a650-84c95a131da9 · inbound

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis cites this paper.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Single-Trajectory Distributionally Robust Reinforcement Learning

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T20:45:55.493828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:45:55.493828Z digest=sha256:3fcc94f30e923ad950806ba5f4dd6ccacd5e24b97c659de870b0c9f2412715e7

Observation de6aaa8c-cc98-487e-80f7-0300caaf1a71 · inbound

Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL cites this paper.

Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL Single-Trajectory Distributionally Robust Reinforcement Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:41:19.858872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T01:40:22.323345Z digest=sha256:3b2fdff0fbfd0296f23bb055e1d09c8a4e7994ca7dedd56b39dbbbd6b551547f

Observation 10fad8db-5da1-432e-832b-c660d423866f · inbound

Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions cites this paper.

Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions Single-Trajectory Distributionally Robust Reinforcement Learning

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:15.788295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:15.788295Z digest=sha256:001993ab362528cd2bd54627220b69bc6f5291098538fd6d144b32849487232d