Paper Citation Record · LEDGER

Best Group Identification in Multi-Objective Bandits

As of 16 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.17869.

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

pith.paper-citation-record.v1
2505.17869 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:23.828990Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T06:40:02.990456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T06:43:05.990378Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy30
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5e0165a-055a-4889-a5c0-b9ff14b0facc · outbound

This paper cites Best arm identification in multi-armed bandits.

Best Group Identification in Multi-Objective Bandits Best arm identification in multi-armed bandits

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:30.020624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a546c0b-d875-4e67-9701-4e777ab2b613 · outbound

This paper cites Pareto front identification from stochastic bandit feedback.

Best Group Identification in Multi-Objective Bandits Pareto front identification from stochastic bandit feedback

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:29.828342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26d28503-3b37-412e-b724-880c9d9a216f · outbound

This paper cites Regret analysis of stochastic and nonstochastic multi-armed bandit problems.

Best Group Identification in Multi-Objective Bandits Regret analysis of stochastic and nonstochastic multi-armed bandit problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:21.527783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 942a359f-74c7-4e36-9dcd-ad1b9dad4ad6 · outbound

This paper cites Pure exploration in multi-armed bandits problems.

Best Group Identification in Multi-Objective Bandits Pure exploration in multi-armed bandits problems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:29.652917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fbccfc44-13ad-4664-894d-20456a803ee5 · outbound

This paper cites Survey on applications of multi-armed and contextual bandits.

Best Group Identification in Multi-Objective Bandits Survey on applications of multi-armed and contextual bandits

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:29.479204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b2e302ea-1f7e-455e-963e-99d72244a43a · outbound

This paper cites Nearly optimal sampling algorithms for combinatorial pure exploration.

Best Group Identification in Multi-Objective Bandits Nearly optimal sampling algorithms for combinatorial pure exploration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:29.240529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 752726a6-8e72-4585-a604-ec9af2b839c3 · outbound

This paper cites Optimal Multi-Objective Best Arm Identification with Fixed Confidence.

Best Group Identification in Multi-Objective Bandits Optimal Multi-Objective Best Arm Identification with Fixed Confidence

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:48:24.177926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e273cf6-1b8e-42a1-a81d-51a25f963dfc · outbound

This paper cites Pure exploration with multiple correct answers.

Best Group Identification in Multi-Objective Bandits Pure exploration with multiple correct answers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:29.082681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation af65caf8-dedd-45b8-875f-10203e91541e · outbound

This paper cites Designing multi-objective multi-armed bandits algorithms: A study.

Best Group Identification in Multi-Objective Bandits Designing multi-objective multi-armed bandits algorithms: A study

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:28.882794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2ab78ab8-2d43-4f20-885d-e01c0e08ed1c · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii.

Best Group Identification in Multi-Objective Bandits A fast and elitist multiobjective genetic algorithm: Nsga-ii

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:28.689211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 372d8f09-6eab-4652-93a7-cee2fbb84a40 · outbound

This paper cites Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems.

Best Group Identification in Multi-Objective Bandits Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:28.457883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c432bf2-72c5-4b82-b005-552afc459ab5 · outbound

This paper cites Optimal best arm identification with fixed confidence.

Best Group Identification in Multi-Objective Bandits Optimal best arm identification with fixed confidence

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:28.280745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b1aae18-b8af-4e3e-8b1c-ac44cb1f0436 · outbound

This paper cites Sequential learning of the pareto front for multi-objective bandits.

Best Group Identification in Multi-Objective Bandits Sequential learning of the pareto front for multi-objective bandits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:28.032866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a06617d1-d797-4def-8545-76c817afeb9a · outbound

This paper cites Maximin action identification: A new bandit framework for games.

Best Group Identification in Multi-Objective Bandits Maximin action identification: A new bandit framework for games

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:27.784470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43c8fee6-bbee-44ad-bfe1-68a759bd5336 · outbound

This paper cites Sample complexity of partition identification using multi-armed bandits.

Best Group Identification in Multi-Objective Bandits Sample complexity of partition identification using multi-armed bandits

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:27.524341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b06a64bb-48e5-4948-8f94-f1fe9ff3f8b4 · outbound

This paper cites On the complexity of best-arm identification in multi-armed bandit models.

Best Group Identification in Multi-Objective Bandits On the complexity of best-arm identification in multi-armed bandit models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:27.298898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17a631e5-fe65-40ad-a253-785c760a93b8 · outbound

This paper cites Pareto Set Identification With Posterior Sampling.

Best Group Identification in Multi-Objective Bandits Pareto Set Identification With Posterior Sampling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:22.556446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e5c152-86de-4d69-9190-647e029563d5 · outbound

This paper cites Information complexity in bandit subset selection.

Best Group Identification in Multi-Objective Bandits Information complexity in bandit subset selection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:27.096387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 205549b1-13b6-4940-be7a-1bc69a8f3739 · outbound

This paper cites Mixture martingales revisited with applications to sequential tests and confidence intervals.

Best Group Identification in Multi-Objective Bandits Mixture martingales revisited with applications to sequential tests and confidence intervals

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:26.900203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc267c6e-0d66-4917-bdc8-5baaa97588e3 · outbound

This paper cites Bandit pareto set identification in a multi-output linear model, 2024.

Best Group Identification in Multi-Objective Bandits Bandit pareto set identification in a multi-output linear model, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:26.751762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92c30a15-58a1-4bf8-8c5e-2a36d665e5a0 · outbound

This paper cites Bandit pareto set identification: the fixed budget setting.

Best Group Identification in Multi-Objective Bandits Bandit pareto set identification: the fixed budget setting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:26.537634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1ab869d3-e5db-4642-b0a1-81664e35b958 · outbound

This paper cites Almost optimal exploration in multi-armed bandits.

Best Group Identification in Multi-Objective Bandits Almost optimal exploration in multi-armed bandits

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:26.365497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60d65114-3cb3-45e8-87c0-66391b95643d · outbound

This paper cites Parego: A hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems.

Best Group Identification in Multi-Objective Bandits Parego: A hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:26.186133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1d105fe8-a35a-4eb6-afb1-d83ed1c3a780 · outbound

This paper cites Pac subset selection in stochastic multi-armed bandits.

Best Group Identification in Multi-Objective Bandits Pac subset selection in stochastic multi-armed bandits

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:25.973110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ca78c7ee-39ba-4702-b4af-d2d274aff25b · outbound

This paper cites Max-quantile grouped infinite-arm bandits.

Best Group Identification in Multi-Objective Bandits Max-quantile grouped infinite-arm bandits

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:25.839771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ba41934-6dd3-461a-910f-6496a9fe3dd9 · outbound

This paper cites Bandit algorithms.

Best Group Identification in Multi-Objective Bandits Bandit algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:23.114516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49989b44-3f01-4be9-bb27-55e30572100f · outbound

This paper cites Multi-Objective Generalized Linear Bandits.

Best Group Identification in Multi-Objective Bandits Multi-Objective Generalized Linear Bandits

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:23.166147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc33449-13de-4350-bd15-72e3bd250845 · outbound

This paper cites Multi-reward best policy identification.

Best Group Identification in Multi-Objective Bandits Multi-reward best policy identification

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:25.622938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f730fcf7-d419-440f-a436-79c9b874d5bb · outbound

This paper cites A survey of multi-objective sequential decision-making.

Best Group Identification in Multi-Objective Bandits A survey of multi-objective sequential decision-making

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:25.412537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60d2c52d-8c33-4483-912a-ede49a66feab · outbound

This paper cites Pure Exploration Beyond Reward Feedback: The Role of Post-Action Context.

Best Group Identification in Multi-Objective Bandits Pure Exploration Beyond Reward Feedback: The Role of Post-Action Context

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:23.379479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5b3bb8-ab5d-4882-8c0d-d339ee0a888a · outbound

This paper cites From ads to interventions: Contextual bandits in mobile health.

Best Group Identification in Multi-Objective Bandits From ads to interventions: Contextual bandits in mobile health

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:25.132351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f3f8792-5eb9-409a-8438-7aaaeac1b09e · outbound

This paper cites Multi-objective reinforcement learning using sets of pareto dominating policies.

Best Group Identification in Multi-Objective Bandits Multi-objective reinforcement learning using sets of pareto dominating policies

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:24.942793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac16ff3a-3ebd-4a11-a3d7-6fa0d93cbd2c · outbound

This paper cites Max-min grouped bandits.

Best Group Identification in Multi-Objective Bandits Max-min grouped bandits

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:24.651341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 321e81d1-a7a2-4b1e-b261-ab433a12db17 · outbound

This paper cites Fast pure exploration via frank-wolfe.

Best Group Identification in Multi-Objective Bandits Fast pure exploration via frank-wolfe

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:24.544435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c7bb3b7a-6cb6-4801-8501-95932cb3ee92 · outbound

This paper cites Pareto regret analyses in multi-objective multi-armed bandit.

Best Group Identification in Multi-Objective Bandits Pareto regret analyses in multi-objective multi-armed bandit

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:24.372320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4c7731e-e3b9-4f3c-9d31-57dad2d4076a · outbound

This paper cites Active learning for multi-objective optimization.

Best Group Identification in Multi-Objective Bandits Active learning for multi-objective optimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:24.254405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 0efe406b-09f3-4e4d-b2ca-4d636efee669 · inbound

Active Context Selection Improves Simple Regret in Contextual Bandits cites this paper.

Active Context Selection Improves Simple Regret in Contextual Bandits Best Group Identification in Multi-Objective Bandits

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:43:05.991684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.