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Paper Citation Record · LEDGER

Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.03760.

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

pith.paper-citation-record.v1
2007.03760 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 2026-08-15T14:39:15.496949Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.823741Z

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 93e4b668-f261-4d02-bd9f-1d723ca8b680 · inbound

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

Stationary Robust Mean-Field Games under Model Mismatches Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:42.825214Z

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=2026-06-26T10:50:40.841967Z digest=sha256:87c4a67754cc575395b9891a7a419a4d423d9de40c72c028e6f37c1c585db119

Observation 791b6d3f-07a0-4b23-b368-86e548e84c4f · 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 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:15.496949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:15.496949Z digest=sha256:c2b0cb4dec13b0be87f9b28fe40dc3c4baa09fd516fbc4ca9790f6884b105593