Paper Citation Record · LEDGER

Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1511.02176.

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

pith.paper-citation-record.v1
1511.02176 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:15:01.498800Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:41:11.478184Z

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 3a8f5238-aabd-47bd-896c-9e8c1f0af4f3 · inbound

Corrupted Learning Dynamics in Games cites this paper.

Corrupted Learning Dynamics in Games Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T19:15:01.498800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d3416ed-8fb2-41a0-a55c-b22169a128d9 · inbound

Enhanced entanglement from quantum ergodicity cites this paper.

Enhanced entanglement from quantum ergodicity Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:41:11.546482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation faeb484d-100f-4e8e-bdf9-964e8a2661b7 · inbound

Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications cites this paper.

Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T20:12:38.234355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68357c5a-efae-4fa8-8386-cc9abf265a13 · inbound

Online Koml\'os converges to mean curvature flow cites this paper.

Online Koml\'os converges to mean curvature flow Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-13T05:37:39.878537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.