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Paper Citation Record · LEDGER

Revisiting Regret Benchmarks in Online Non-Stochastic Control

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2504.16581.

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

pith.paper-citation-record.v1
2504.16581 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:10:46.312833Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:00:10.077746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:24:22.394742Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 201d0fb6-26d4-42e7-b703-f849d272205b · outbound

This paper cites Online optimal control with affine constraints,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online optimal control with affine constraints,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.657336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e1b2671a-3e05-4b0f-a7dc-1552f2a40889 · outbound

This paper cites Online Optimization with Memory and Competitive Control,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online Optimization with Memory and Competitive Control,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.642972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.253157Z digest=sha256:1852741a3218cc70b6602401c835ac1b85d809723ca95b5826935a6a8cf6da0c

Observation 8ef0b1df-6c13-4e6d-8313-15bbf9a7f3d3 · outbound

This paper cites Online convex optimization for robust control of constrained dynamical systems,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online convex optimization for robust control of constrained dynamical systems,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:46.257982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:46.257982Z digest=sha256:f71c031589ace086cba74fe41b3d94f870d538efb435f09d5f794a519816b5e0

Observation 5e682204-5260-4a97-bf7b-f4863c4645d1 · outbound

This paper cites Online Nonstochastic Control with Convex Safety Constraints.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online Nonstochastic Control with Convex Safety Constraints

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:46.262479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:46.262479Z digest=sha256:979d5f8d5221cdd493ad81ffcbd74db98231aaae8c6c8a14f341df180bc51a1f

Observation 80a60e8a-beb5-4f1b-a652-fd5931da7f5c · outbound

This paper cites Introduction to Online Control.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Introduction to Online Control

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:46.267571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:46.267571Z digest=sha256:bae66f9cbc9e03e55df499617c17d5e4979e124946291aa08832b30c1e8c631e

Observation a1db80ed-488c-45b1-bdcd-0c9932e2fdce · outbound

This paper cites Online Control with Adversarial Disturbances,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online Control with Adversarial Disturbances,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.628465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.272929Z digest=sha256:7b8108aa97b20a5bd9b83182cd220b59c77aa876c1f0f6143708227d665a7c5f

Observation 013aa95f-01dd-4968-a64e-dbcd45760cfe · outbound

This paper cites Logarithmic Regret for Online Control,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Logarithmic Regret for Online Control,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.614143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.277979Z digest=sha256:7ff6fdf3542ba8c32d2e2c6babdb7de6f8f264ffecb08406ccd9e1c37ebc09cc

Observation 9678bcbe-7027-45ff-8b13-498eb16f2828 · outbound

This paper cites Improper Learning for Non- Stochastic Control,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Improper Learning for Non- Stochastic Control,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.599416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.282325Z digest=sha256:5098fa4d31bc79469c7e8b0235dc8cb1d2b2dd182564541f49f0d4ca8ac66b31

Observation 030ff51c-678e-448b-bafa-9cba94d3ced4 · outbound

This paper cites Rate-Optimal Online Convex Optimization in Adaptive Linear Control,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Rate-Optimal Online Convex Optimization in Adaptive Linear Control,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.584410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.286596Z digest=sha256:7bc27e40dd56b5eaf9e28ad81a1e69235e903c75071d55d3c4ad70d108138f77

Observation 0388525d-8b8a-4dac-a47f-82c6e6c7ef55 · outbound

This paper cites Bandit linear control,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Bandit linear control,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.568260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.290930Z digest=sha256:710d559b51e1b8959adbdc732430b7a1d9ca7fe0919c85480678efac07c93ede

Observation 44d61341-0f2d-4184-8a7f-e71c0f3ccce3 · outbound

This paper cites Online Linear Quadratic Control,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online Linear Quadratic Control,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.551128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.295354Z digest=sha256:17e5781859d10d244879835143ae22846f8211e37e004ae91b54de6e86f827c0

Observation d953a661-00d0-40bd-b64f-156920479800 · outbound

This paper cites Online Optimal Control with Linear Dy- namics and Predictions: Algorithms and Regret Analysis,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online Optimal Control with Linear Dy- namics and Predictions: Algorithms and Regret Analysis,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.536015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.299675Z digest=sha256:323ab567705245a321460a83b48be2559e3d9bf8dddad45546dde63afa4838aa

Observation 209bc2ef-d271-4eed-ba1a-891ef83f910f · outbound

This paper cites Hazan, Introduction to online convex optimization , ch.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Hazan, Introduction to online convex optimization , ch

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.520536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.303973Z digest=sha256:d5167549483706e3851bd135ce391fe510ad6b97f7dda329572ba9e5068d2c8e

Observation 06c764fd-4300-4813-a837-9bcd88c5dd7c · outbound

This paper cites Online convex programming and generalized in- finitesimal gradient ascent,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online convex programming and generalized in- finitesimal gradient ascent,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.504973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.308244Z digest=sha256:5b5844be4f692d496d6f8687e1e9f17d796943c8c9063c03df73a1d3a2221bc3

Observation 9985e49b-ba47-40d8-8321-cc33bb6c9973 · outbound

This paper cites Online learning for adversaries with memory: Price of past mistakes,.

Revisiting Regret Benchmarks in Online Non-Stochastic Control Online learning for adversaries with memory: Price of past mistakes,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:46.488227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:10:46.312833Z digest=sha256:a8c117687599cbf165a86f955e3d6c7fbb45464e0636f83e73abc9e1d2b3deb1

Pith citing papers

Observation 1d86ed12-3a37-4f55-b6d5-36351d70aed4 · inbound

Steady-state Based Approach to Online Non-stochastic Control cites this paper.

Steady-state Based Approach to Online Non-stochastic Control Revisiting Regret Benchmarks in Online Non-Stochastic Control

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:24:22.397023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T05:00:10.077746Z digest=sha256:324e9b56d1c5b591f94964838aa30cc63f477561ca7800b96d8bb165a267110f