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Paper Citation Record · LEDGER

Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.11219.

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

pith.paper-citation-record.v1
2211.11219 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:22:26.997700Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T11:19:23.158285Z

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 2b97d3ee-72a8-4f18-a13e-5c4ad8a4f364 · inbound

Introduction to Online Control cites this paper.

Introduction to Online Control Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-24T11:19:23.161361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-24T11:17:42.225451Z digest=sha256:b1e5d8ecf429c0032f3f9977cc2abf4843b45db6d8eb0984faeefc2cf80334c0

Observation 830ad8b1-8f01-446d-8cba-a16d2d1314ae · inbound

Learning-Augmented Online Control for Decarbonizing Water Infrastructures cites this paper.

Learning-Augmented Online Control for Decarbonizing Water Infrastructures Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T15:22:26.997700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:22:26.997700Z digest=sha256:9b38fe44c56c3f67087deb3ca5585ea087567fab31dc940d53d9397804294545