Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T01:12:28.320415Z
Paper Citation Record · LEDGER
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization
As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2605.06864.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T18:27:45.097514Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact3
- verified fuzzy19
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b37edb08-6dda-464e-b425-06146271f4b0 · outbound
This paper cites Besbes, Y.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Besbes, Y
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.727981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6401d91f-ec6c-44c5-a9b6-6255ce65113f · outbound
This paper cites Bone and S.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Bone and S
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.824220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04a16ba9-1166-4233-91b9-0000551dfc70 · outbound
This paper cites Busa-Fekete, B.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Busa-Fekete, B
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.844049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f3b64644-32fe-4479-ab9a-fd8971ff4c10 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.796532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 31f4cefc-d88f-46d0-8b58-165726b1f419 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.792881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 514bd7ab-225d-4a38-95ce-4f64e2572487 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.848280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 430ed6e8-a19d-46b3-bc38-5ba851849e2d · outbound
This paper cites Garivier and E.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Garivier and E
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.852521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5d2092c6-3c0d-4acd-a4d9-d9e46a93c2f3 · outbound
This paper cites Grandoni, P.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Grandoni, P
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.784737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 003b8d2b-da87-4c89-8b81-6537e575036c · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.718134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ac1c1d1-0a18-4c06-b309-04beda1f18c4 · outbound
This paper cites Hossain, E.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Hossain, E
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.840216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c849ca94-d9bd-493c-a0bb-18dc86df98d8 · outbound
This paper cites Hüyük and C.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Hüyük and C
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.713537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5b274b0e-bf7f-4351-84ec-1f9a1026f01a · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.755683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8cdf1a0a-2d11-4908-9df7-e31aa9265b92 · outbound
This paper cites Jones, H.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Jones, H
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.722351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2b03c389-43db-4059-a813-91ab04730c91 · outbound
This paper cites Landgren, V.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Landgren, V
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.776575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 05f49a3b-3ba6-448f-b742-2e7976eb6439 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.752015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f806e1a9-3317-43fc-bdac-78247596aa26 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:35:59.185033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 332bf4fe-25ac-4e23-a4dd-947722f4193b · outbound
This paper cites Emergent Coordination Through Competition.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Emergent Coordination Through Competition
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:35:59.165080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae7f5963-77bf-4c8a-b84c-f70137bad174 · outbound
This paper cites Madani and J.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Madani and J
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.746090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee5edb51-3f70-47e0-83e6-fb130bf2d790 · outbound
This paper cites Mannion, J.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Mannion, J
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.768080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fd991534-f4c1-459a-b21a-c1ad302d8c98 · outbound
This paper cites Mouaddib, M.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Mouaddib, M
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.820572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dfa093e6-40d6-4bf7-90e0-623db7228d37 · outbound
This paper cites R˘adulescu, P.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization R˘adulescu, P
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.828384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f4548df8-9d93-4b77-8309-39bacc334bd5 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.735169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 46377436-e797-4b3c-92b8-d135ba6cb779 · outbound
This paper cites Sankararaman, A.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Sankararaman, A
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.812414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fd3f5415-c2ef-4388-9769-a8dc9a07a915 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:35:59.176039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ec5d83b-ba40-463e-ad95-2f6855072c1d · outbound
This paper cites Taylor, I.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Taylor, I
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.836199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 10660c33-dc5f-476b-bf5d-be94d0ac27f2 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.788915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e04a03f5-2a7a-4340-a32c-dc35a9e3b8d0 · outbound
This paper cites Xu and D.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Xu and D
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.832335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e5970252-97fc-46bb-a5c7-6f7c38a58a6c · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.816561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4a6b7efb-ab5d-46dd-87e3-caaa483428d4 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.804671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b4ef1c6f-af02-48a2-8710-be6a92682be1 · outbound
This paper cites Zhang, R.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Zhang, R
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.741326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f77a4a24-7974-4284-96fb-80f48dd0dc76 · outbound
This paper cites an unresolved cited work.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T17:27:30.808492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0178be08-cf8a-483e-88b9-40f80514e325 · outbound
This paper cites Despite these advances, existing approaches remain largely confined to single-agent settings and focus on Pareto optimality as the primary notion of performance.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization Despite these advances, existing approaches remain largely confined to single-agent settings and focus on Pareto optimality as the primary notion of performance
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.800934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 073364e4-d821-40ad-a639-6f6b7d9526d9 · outbound
This paper cites warm-up period.
Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization warm-up period
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T17:27:30.762957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 5bc1c7a1-1ea1-4687-b5be-94371e32c3f1 · inbound
The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination cites this paper.
The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:27:45.097514Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.