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Paper Citation Record · LEDGER

Revisiting Regret Benchmarks in Online Non-Stochastic Control

As of 23 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 2026-08-22T06:32:14.747728+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
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  • unresolved3
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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.253157Z digest=sha256:bb10efe41272de3a35f9f5f6c952c0b9729746f2f21349e9443bdf1ccbd11761

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.272929Z digest=sha256:950eb707f8356fceca5ee968768108326ae0d295501ba115a905718200e77a18

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.277979Z digest=sha256:12073b73dd8a5de9519225a5890cc48276547fec943b9b780d951cc7f0a70a32

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.282325Z digest=sha256:76f43bdfc1db0664916b9a0764940b5f1a57ca337b41551e70a041410a313eda

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.286596Z digest=sha256:9b2f373756c9919591b83c12910fc31316493a0d3661692f1c1eefc187a5de91

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.290930Z digest=sha256:837f5932cb90d75cafbe2cda87d578c1bb38e2cd7ae29a4302b3e8b8c91de1ec

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.295354Z digest=sha256:e53c508d7e11aa396f89d344e59c2ec852617bbed8f7a954f154e0e9fb93a8cd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.299675Z digest=sha256:6f528a4beb425acee5f2ef7a5ea80b7b5e5eaa360fd0c53ecae41deb7aef4eb2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.303973Z digest=sha256:80e60fe8b308ce415d4591a0eb60573436c2673bbfded69c6c8aa478c2adb6b5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.308244Z digest=sha256:6e21739787c93e021c727de203e545143ba0b97eb8b619dc04072eff362268f1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:46.312833Z digest=sha256:a159b283b91ecc49c31d420e832548807c04a959b641acc4d1e87935d24f1d8e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T05:00:10.077746Z digest=sha256:99535d39c17e8a701ec3ec2c975beaca7c01ff17d05e1e36aa2cd8c83932d979