Paper Citation Record · LEDGER

Experimental Design for Semiparametric Bandits

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.13390.

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

pith.paper-citation-record.v1
2506.13390 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:17:21.350582Z

measured 14 of 14 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 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

14 of 14 outbound references displayed

verified exact1
verified fuzzy9
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79b160be-af44-49ad-97fc-304f61b835c3 · outbound

This paper cites We then have the following regret bound for this modified algorithm.

Experimental Design for Semiparametric Bandits We then have the following regret bound for this modified algorithm

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.630096Z

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.

Observation 725ca7b4-65e0-450e-a27c-d61c65f5b7e9 · outbound

This paper cites an unresolved cited work.

Experimental Design for Semiparametric Bandits Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:17:21.669982Z

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.

Observation 649deb16-e33e-48d3-8029-57942ca32f9b · outbound

This paper cites Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift.

Experimental Design for Semiparametric Bandits Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:17:21.285696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb202d1-b27c-4131-b7de-3a9f3aa3ec34 · outbound

This paper cites We prove the upper bound of the theorem in four steps; afterward, we show its optimality.

Experimental Design for Semiparametric Bandits We prove the upper bound of the theorem in four steps; afterward, we show its optimality

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.688963Z

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.

Observation c1c88ced-27f7-48af-8fb4-ceb5265ba68c · outbound

This paper cites (2021)), we aim to bound∥Pt s=1esqs∥2.

Experimental Design for Semiparametric Bandits (2021)), we aim to bound∥Pt s=1esqs∥2

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.650696Z

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.

Observation b0e5fc16-38b6-4729-be5d-34bbbc296256 · outbound

This paper cites Since T ≳ L(2) T −1X ℓ=1 d2 log(1/δ)4ℓ ≳d2 log(1/δ)4L(2) T , we get the upper bound ofL(2) T as 2L(2) T ≲ s T d2 log(1/δ).

Experimental Design for Semiparametric Bandits Since T ≳ L(2) T −1X ℓ=1 d2 log(1/δ)4ℓ ≳d2 log(1/δ)4L(2) T , we get the upper bound ofL(2) T as 2L(2) T ≲ s T d2 log(1/δ)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.588646Z

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.

Observation bad80f6e-a6fc-43f3-8c50-7b30d9d5abec · outbound

This paper cites (2018) and semiparametric-TS of Kim and Paik (2019).

Experimental Design for Semiparametric Bandits (2018) and semiparametric-TS of Kim and Paik (2019)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.569525Z

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.

Observation c7ea9fd9-1417-4f63-b906-feb49719b5da · outbound

This paper cites All previous literature Kim and Paik (2019); Krishnamurthy et al.

Experimental Design for Semiparametric Bandits All previous literature Kim and Paik (2019); Krishnamurthy et al

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.550443Z

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.

Observation 1ae10d1f-4409-44f7-a01e-88a7ea68883e · outbound

This paper cites We set sameK = 30, but changed = 5 andd = 30 to see the dimension dependency.

Experimental Design for Semiparametric Bandits We set sameK = 30, but changed = 5 andd = 30 to see the dimension dependency

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.491267Z

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.

Observation e8e893ed-9d5d-487e-bfbe-241947cb9789 · outbound

This paper cites an unresolved cited work.

Experimental Design for Semiparametric Bandits Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:17:21.467859Z

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.

Observation c889f1d4-4168-4a1d-9f59-d201772c9c49 · outbound

This paper cites We conducted two cases:d = 5,K = 10 andd = 20,K =.

Experimental Design for Semiparametric Bandits We conducted two cases:d = 5,K = 10 andd = 20,K =

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.528371Z

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.

Observation f9f5b3a0-6766-48fb-a3fe-d91b2eaa46d3 · outbound

This paper cites 30 EXPERIMENTAL DESIGN FOR SEMIPARAMETRIC BANDITS The original selection ofβ isβ≍d log(t/δ); however, using Lemma 26, we can relax it for the fixed policy case.

Experimental Design for Semiparametric Bandits 30 EXPERIMENTAL DESIGN FOR SEMIPARAMETRIC BANDITS The original selection ofβ isβ≍d log(t/δ); however, using Lemma 26, we can relax it for the fixed policy case

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:17:21.608560Z

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.

Observation d50e79bf-0319-4fef-928f-24ba8cac0232 · outbound

This paper cites Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift.

Experimental Design for Semiparametric Bandits Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T20:17:21.280626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8931d67d-3a01-42cf-ae26-0eb50ecc5159 · outbound

This paper cites GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation.

Experimental Design for Semiparametric Bandits GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:17:21.445980Z

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.

Pith citing papers

No inbound Pith citation observations are available.