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Paper Citation Record · LEDGER

Near-Optimal Offline Reinforcement Learning via Double Variance Reduction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.01748.

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

pith.paper-citation-record.v1
2102.01748 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:45:51.326444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T15:35:10.928301Z

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 2a23422e-609d-4ec7-bec4-5d4d0f7856da · inbound

Is Conditional Generative Modeling all you need for Decision-Making? cites this paper.

Is Conditional Generative Modeling all you need for Decision-Making? Near-Optimal Offline Reinforcement Learning via Double Variance Reduction

Reference 189

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:35:10.931672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T15:35:10.593969Z digest=sha256:4f4039e7765b0ba4e40996030da7d18c33dd0a51475897b6eddac37e41e30638

Observation b3948507-b6c0-493c-84d1-f140e1c85c37 · inbound

Offline Learning for Combinatorial Multi-armed Bandits cites this paper.

Offline Learning for Combinatorial Multi-armed Bandits Near-Optimal Offline Reinforcement Learning via Double Variance Reduction

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T20:45:51.326444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:45:51.326444Z digest=sha256:a3718c3967967f4960b4cb381de9da6032bfe842d739db767d4e1296902a2b8a