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Paper Citation Record · LEDGER

Exploiting Curvature in Online Convex Optimization with Delayed Feedback

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:18.280723Z digest=sha256:360d18ed9f3b972d95e5e1bb187de55a99dc5c88e5efdac603ab5497c30a3d77

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:19.048884Z digest=sha256:d90dd89e297c7203355f3b89b1cec011b1709c3dbe67d2a93df9009b9e483fce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:17.936700Z digest=sha256:2a410328e6258b85e33cabafd0d476c1380cf123d457833e564ca5f4dafc940b

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:18.569302Z digest=sha256:a8fd2c155cdec4725e0824794e4aee65364eb0c775fc4e820d172ad9c2b594cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:18.712412Z digest=sha256:106f722a2e9718ab66800857f28db2f14c5a467c5fd4d06b6e8935032a86cf9a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:18.845746Z digest=sha256:0c6ea4c92cbea271caf58896ee3b53dae32e87a301d731869f6031798f041e23

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:19.215749Z digest=sha256:077d9604c26a556220f45fe05977d2504345ec910d16e61363dd42e4931641d1

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:19.505685Z digest=sha256:4fd5c30548fa2f1bdd5bf6bcf5b28f359e24a2b86baa1695fb839f9e2aa76736

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:17.629525Z digest=sha256:819463357a9cecd7a6ccaef0a9f3a24925412f129107a557f1cc69e0a3467d85

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.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:17.309557Z digest=sha256:470ea63611dab4f07ef733a0ffaee7043cb60d80b01ef00c605545af87016387

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:a545149dc6a53571a0f56cb32a534c776b9d37923de68b994a0949148198437c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:16.950413Z digest=sha256:afcfb0ae36080be4095921f33261cd71089e31cfa4122942c3a5201242ee26ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:17.447788Z digest=sha256:7100a07dfad0f1fa3ca5e09ec78a05b9125c611273780b3b44f0b56d3570456f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:44:17.069608Z digest=sha256:bb8e9ec761b55bb6958f240f2a165ee09327b56904949c5ac53b6722d1bd7a91

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.

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Pith citing papers

No inbound Pith citation observations are available.