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Paper Citation Record · LEDGER

Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.03289.

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

pith.paper-citation-record.v1
2111.03289 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:06:20.344733Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T12:06:20.831745Z

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 c034341c-f12a-4871-bcc8-3e228f1de5d5 · inbound

Catoni Contextual Bandits are Robust to Heavy-tailed Rewards cites this paper.

Catoni Contextual Bandits are Robust to Heavy-tailed Rewards Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:06:20.836248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T12:06:20.344733Z digest=sha256:93654e18729290f182d2158fd40c2adb368763b1efd0bc76ece48212b3582731

Observation 1355f1cd-0755-4ddb-90f6-2a9bac3fb19b · inbound

Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set cites this paper.

Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-30T16:14:12.125618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:14:12.125618Z digest=sha256:6fdc160824e40cc8df3e154c98f9edd5438633cb851349b36311e6aa84f21370