Pith. sign in

Paper Citation Record · LEDGER

What are the Statistical Limits of Offline RL with Linear Function Approximation?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.11895.

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

pith.paper-citation-record.v1
2010.11895 v1

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:51:04.142768Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.801308Z

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 daf41aed-8d02-4d85-a9e1-113d6a4bccc8 · inbound

Auto-exploration for online reinforcement learning cites this paper.

Auto-exploration for online reinforcement learning What are the Statistical Limits of Offline RL with Linear Function Approximation?

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-03T18:19:01.100107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:01.100107Z digest=sha256:1941adbb6b43e71bf574477a71f3546c1dc66609655e4fa2e8361f277072e6be

Observation d00a4ee0-2e9c-48d0-a096-acef3e5127e1 · inbound

Auto-exploration for online reinforcement learning cites this paper.

Auto-exploration for online reinforcement learning What are the Statistical Limits of Offline RL with Linear Function Approximation?

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T06:51:04.142768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:51:04.142768Z digest=sha256:da1ef3f3cdccea08a3f77bd599b993e4dc20a4161be7c4f969d163942e0c90b6

Observation f32f187a-50e5-4331-830f-f74211004af2 · inbound

Counterfactually Safe Reinforcement Learning cites this paper.

Counterfactually Safe Reinforcement Learning What are the Statistical Limits of Offline RL with Linear Function Approximation?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:04:06.874144Z

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=pdf_text observed=2026-06-29T23:48:41.383288Z digest=sha256:53600b0faca42bcf38c84e66f2b80d16bc3d00cab60a9366f306d70f44cdf3e1

Observation 32f1d4c1-d307-4eb1-9d1a-b3f3930a3fbc · inbound

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

Stationary Robust Mean-Field Games under Model Mismatches What are the Statistical Limits of Offline RL with Linear Function Approximation?

Reference 242

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:42.802572Z

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=2026-06-26T10:50:40.841967Z digest=sha256:3718661bdb53cf90929d8bda02424c8606edd1a6ace4a4e4c56e6e87a194719b