Pith. sign in

Paper Citation Record · LEDGER

Exploiting Curvature in Online Convex Optimization with Delayed Feedback

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.07595.

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

pith.paper-citation-record.v1
2506.07595 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:19.505685Z

measured 19 of 19 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6b075b6-55f0-4875-9a04-d846a04d4470 · outbound

This paper cites Observe that, given such a bound on the cheating term, we now have to consider three different terms as shown in Equation (17).

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Observe that, given such a bound on the cheating term, we now have to consider three different terms as shown in Equation (17)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:22.834877Z

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=2026-08-07T05:44:18.280723Z digest=sha256:57191d3722998862f64d9a529700d1e1831ecdbadaa9f3fbb737034dfed14e86

Observation c26026a7-eb87-4944-85e9-e815186e5bc7 · outbound

This paper cites Then, we have ∥z1 −z 2∥2 A1 +∥z 1 −z 2∥2 A2 ≤ ⟨w1 −w 2, z2 −z 1⟩+ (ψ 1(z2)−ψ 2(z2))−(ψ 1(z1)−ψ 2(z1)).

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Then, we have ∥z1 −z 2∥2 A1 +∥z 1 −z 2∥2 A2 ≤ ⟨w1 −w 2, z2 −z 1⟩+ (ψ 1(z2)−ψ 2(z2))−(ψ 1(z1)−ψ 2(z1))

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:23.149799Z

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=2026-08-07T05:44:18.102379Z digest=sha256:4a3f4acd2250ee1ca3046453a96c276fca94ad308b9db3f91d1ea7ccf5dd1c63

Observation 1b20db1c-f6e8-44ba-9482-13d0e2c5fbd3 · outbound

This paper cites (2024) only manage to show that this algorithm achieves regret O dmax(G2+D) λ lnT+ dmaxG λ2 under Theorems 2.3 and 2.4.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback (2024) only manage to show that this algorithm achieves regret O dmax(G2+D) λ lnT+ dmaxG λ2 under Theorems 2.3 and 2.4

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:21.443288Z

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=2026-08-07T05:44:19.048884Z digest=sha256:d10cd082d17ca74c80c2644f1bb6144fb8e7048fccca70749fac30daccc5e6c5

Observation 0f96f2a1-ded3-40c3-a351-18a66e6ce974 · outbound

This paper cites Auxiliary results In this section, we show several auxiliary lemmas that will be helpful throughout the paper.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Auxiliary results In this section, we show several auxiliary lemmas that will be helpful throughout the paper

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:23.425124Z

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=2026-08-07T05:44:17.936700Z digest=sha256:62087ee685e52245d1583fbea14f91f7e7c64e1adf417f655b693d4cf62720f1

Observation dbf27045-8175-452d-8d02-0383a6449862 · outbound

This paper cites linearized.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback linearized

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:22.543668Z

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=2026-08-07T05:44:18.402140Z digest=sha256:0739e3350ffad5ea523dedd4a910f24c6a2e7a0181d4e1561f106a49176c0fa5

Observation a208cbd4-9d14-4806-9618-69f3f91441ec · outbound

This paper cites an unresolved cited work.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:22.259815Z

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=2026-08-07T05:44:18.569302Z digest=sha256:db0500f35758d3d5a45b093fabb628316bc32a0ce4b66d0beb7a1b035b66f82a

Observation f6ee2427-0187-4112-a6f6-01ea86813fd3 · outbound

This paper cites an unresolved cited work.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:21.976958Z

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=2026-08-07T05:44:18.712412Z digest=sha256:9c570a5195787a130de800fd0983e982f6bf9e80b6a22f9cb39d8577bb9d7073

Observation 754b89ac-d03b-430a-9e16-a30685560360 · outbound

This paper cites (2024) in their Algorithm.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback (2024) in their Algorithm

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:21.729051Z

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=2026-08-07T05:44:18.845746Z digest=sha256:82a563e7f475d6301ec88836c63ec927903b0dff89dade9e054e8d4cc789c15d

Observation c36ab7d9-df93-4b51-b362-c7c0da227d26 · outbound

This paper cites linearized.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback linearized

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:21.160631Z

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=2026-08-07T05:44:19.215749Z digest=sha256:fde4a3ba317f57a13801a178bbd4268f2875693d7415b4239490706a8eabed38

Observation 8d97a8af-e4ad-401d-a004-08ac3d01a08e · outbound

This paper cites an unresolved cited work.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:20.819718Z

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=2026-08-07T05:44:19.340349Z digest=sha256:c9b9f9a3372583d4e8c34ffd579d4adcec353a633743384a65628e53a137e23b

Observation 24fb4c5b-f296-402c-9c96-cd81e4150534 · outbound

This paper cites an unresolved cited work.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:20.458563Z

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=2026-08-07T05:44:19.505685Z digest=sha256:be3ed8560a4cf7c6ec135f74203fbc524bcdac537f107b5b155ec134a38f0211

Observation c1012b3a-11be-4e18-ab8b-082f8aa83eaa · outbound

This paper cites Online sequential decision- making with unknown delays.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Online sequential decision- making with unknown delays

Reference 2002

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:25.718372Z

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=2026-08-07T05:44:17.629525Z digest=sha256:e56fdab02607ec3ad135103bbfb5f75e81fe433f8912614ceae09580314acbd7

Observation d08981c3-25e0-475e-a777-4155509a186c · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Online Learning: A Modern Introduction Using Convex Optimization

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:17.170340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:17.170340Z digest=sha256:a82d9ba6d06158e296a172ec4fad5b60f43939de5d88a483db009d41e69d1b17

Observation 9db28651-0f50-4d2d-b115-adab9c9ac6fe · outbound

This paper cites Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs

Reference 2015

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:44:19.811650Z

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=2026-08-07T05:44:17.309557Z digest=sha256:c0c2c7e333dd46566b86be60ec3e690cea0d7499743c18828c222381edfdcefe

Observation 67fc87dd-5bd2-4527-8abc-7458b7e7ea52 · outbound

This paper cites Hazan, E., Agarwal, A., and Kale, S.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Hazan, E., Agarwal, A., and Kale, S

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:16.803719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:16.803719Z digest=sha256:26bc9626f3da4359b40743feb165a91890241155c4c761b5b503b3a45853e16d

Observation d90a6d43-76a7-4f5b-a71d-7b6aa8319e5e · outbound

This paper cites and Cesa-Bianchi, N.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback and Cesa-Bianchi, N

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:26.028736Z

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=2026-08-07T05:44:16.950413Z digest=sha256:e27cf334e77eef4db74ca4d3106d788625b4f75dc1b3963c7a0679ddd53243d0

Observation 97b806b2-0bf3-4f7e-bfba-43de7af28136 · outbound

This paper cites an unresolved cited work.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:25.844092Z

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=2026-08-07T05:44:17.447788Z digest=sha256:e2e9014b459459ec561b565f35664d7880c1f9a82e42e7798d52d40b351dd76a

Observation e6015c48-650e-44f3-a4e9-e0a3431cadb6 · outbound

This paper cites Slow Learners are Fast.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Slow Learners are Fast

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:44:20.132117Z

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=2026-08-07T05:44:17.069608Z digest=sha256:6aa213e2491a66180f1e61a399003385c4ca52404e3e57221bc3f14e546fbdad

Observation 3ca4441b-c43d-41a1-9cfa-23cc7b760bf8 · outbound

This paper cites Contextual Linear Bandits with Delay as Payoff.

Exploiting Curvature in Online Convex Optimization with Delayed Feedback Contextual Linear Bandits with Delay as Payoff

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:17.806672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:17.806672Z digest=sha256:6c5fbd935acc6d5c4131bc421b7ae2f2c2237e99e7c204971cfc0fcc46171f17

Pith citing papers

No inbound Pith citation observations are available.