Paper Citation Record · LEDGER

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 3 inbound Pith citation observations for arXiv:2502.05019.

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

pith.paper-citation-record.v1
2502.05019 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:49:17.054598Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:06:47.558015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:17:25.887786Z

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy19
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f84534e-bad1-4449-a003-c2a12f7f1485 · outbound

This paper cites A nearly-linear bound for chasing nested convex bodies.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization A nearly-linear bound for chasing nested convex bodies

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.638917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70a1ef18-73b4-4812-ad6f-a5b51cef37bd · outbound

This paper cites Nested convex bodies are chaseable.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Nested convex bodies are chaseable

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.623388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a2bfb0e-5b2a-4b46-966c-eeb07276917a · outbound

This paper cites Chasing nested convex bodies nearly optimally.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Chasing nested convex bodies nearly optimally

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.608946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 115a426d-333f-40d8-961f-c821fe005e5d · outbound

This paper cites Online convex optimization with time-varying constraints and bandit feedback.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Online convex optimization with time-varying constraints and bandit feedback

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.593826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fee04c3f-c824-4880-a354-11f80355454c · outbound

This paper cites Bandit convex optimization for scalable and dynamic iot management.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Bandit convex optimization for scalable and dynamic iot management

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.577951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be27a87c-4aca-4a9b-b70d-4447e5a97571 · outbound

This paper cites Convexity, 1966.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Convexity, 1966

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.561754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44987726-4a68-4972-98a2-f45cc884155d · outbound

This paper cites Online convex optimization with hard constraints: Towards the best of two worlds and beyond.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Online convex optimization with hard constraints: Towards the best of two worlds and beyond

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.546459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7886ea3-a8e5-45a7-b14f-db95bfff838a · outbound

This paper cites The convex optimization approach to regret minimization.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization The convex optimization approach to regret minimization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.529205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e7e5dfb-388c-406e-acfa-331f9d6a4e01 · outbound

This paper cites Adaptive algorithms for online convex optimization with long-term constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Adaptive algorithms for online convex optimization with long-term constraints

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.512134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0fde277-cbd9-4714-bb1e-a5020c00de40 · outbound

This paper cites Cautious regret minimization: Online optimization with long-term budget constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Cautious regret minimization: Online optimization with long-term budget constraints

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.494404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89f77274-7ee3-482c-8d0d-7f0e8c89ace5 · outbound

This paper cites Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.478733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ce8e5c0-65ae-438a-b18a-e6934850002d · outbound

This paper cites Trading regret for efficiency: online convex optimization with long term constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Trading regret for efficiency: online convex optimization with long term constraints

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.461173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 728c8073-da00-47ef-8431-f9684fbd81e9 · outbound

This paper cites Maximum length of steepest descent curves for quasi-convex functions.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Maximum length of steepest descent curves for quasi-convex functions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.444384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16274119-b148-4fc7-89ea-afc2b0b938b2 · outbound

This paper cites Stochastic network optimization with application to communication and queueing systems.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Stochastic network optimization with application to communication and queueing systems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.427122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0eb1e71f-2068-4b5e-866b-9641e8bd00c2 · outbound

This paper cites Online Convex Optimization with Time-Varying Constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Online Convex Optimization with Time-Varying Constraints

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T20:49:17.014695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca391f24-739e-43a7-829c-afd49764f1e0 · outbound

This paper cites Optimal algorithms for online convex optimization with adversarial constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Optimal algorithms for online convex optimization with adversarial constraints

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.408893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6267984c-6c46-4cba-ba80-f10cad297152 · outbound

This paper cites Safety-aware algorithms for adversarial contextual bandit.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Safety-aware algorithms for adversarial contextual bandit

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.391690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69c93168-19a8-4ef1-9c82-e2e6ff326555 · outbound

This paper cites On dynamic regret and constraint violations in constrained online convex optimization.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization On dynamic regret and constraint violations in constrained online convex optimization

Reference 18

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T20:49:17.305393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff2708bf-7c11-4847-bed6-eb4b16709d01 · outbound

This paper cites Regret and cumulative constraint violation analysis for online convex optimization with long term constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Regret and cumulative constraint violation analysis for online convex optimization with long term constraints

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.374050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67e03806-c919-402a-a497-5042dc626af6 · outbound

This paper cites Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T20:49:17.039002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dedcc25-bf48-4116-b809-a5f6413bd678 · outbound

This paper cites A Low Complexity Algorithm with $O(\sqrt{T})$ Regret and $O(1)$ Constraint Violations for Online Convex Optimization with Long Term Constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization A Low Complexity Algorithm with $O(\sqrt{T})$ Regret and $O(1)$ Constraint Violations for Online Convex Optimization with Long Term Constraints

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T20:49:17.044261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76572339-1242-4858-8aab-10706763002e · outbound

This paper cites Online convex optimization with stochastic constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Online convex optimization with stochastic constraints

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.357139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21703c63-2101-4c17-9969-10862c5e4f7f · outbound

This paper cites Online convex optimization for cumulative constraints.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Online convex optimization for cumulative constraints

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:49:17.339524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 2bf87dd1-b02a-478f-b079-9b691c7bb9bd · inbound

A Geometric Approach to Constrained Online Learning cites this paper.

A Geometric Approach to Constrained Online Learning $O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:24:00.516080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80b1e048-f954-40d3-b54d-59d201787a05 · inbound

Theoretical Foundations of Continual Learning via Drift-Plus-Penalty cites this paper.

Theoretical Foundations of Continual Learning via Drift-Plus-Penalty $O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:17:25.889538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33aa6af6-e4a5-4dc4-92bb-427a909f0cfe · inbound

Lower Bound on the Cumulative Constrained Violation for the OGD+Projection algorithm for Constrained Online Convex Optimization (COCO) cites this paper.

Lower Bound on the Cumulative Constrained Violation for the OGD+Projection algorithm for Constrained Online Convex Optimization (COCO) $O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T09:06:47.558015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.