Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:07:06.268923Z
Paper Citation Record · LEDGER
Learning in Matching Games with Bandit Feedback
As of 16 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2506.03802.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact3
- verified fuzzy41
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6ed534b5-dddd-4707-879c-d0f5c6ca3a92 · outbound
This paper cites Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games.
Learning in Matching Games with Bandit Feedback Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.634563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e0c1f95f-e6e9-4d8e-9afa-e46a660aaa74 · outbound
This paper cites Uncoupled learning dynamics with o(\log t) swap regret in multiplayer games.
Learning in Matching Games with Bandit Feedback Uncoupled learning dynamics with o(\log t) swap regret in multiplayer games
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.620260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cbad86d3-1cdc-4308-941c-80dc8a179505 · outbound
This paper cites Probably Correct Optimal Stable Matching for Two-Sided Markets Under Uncertainty.
Learning in Matching Games with Bandit Feedback Probably Correct Optimal Stable Matching for Two-Sided Markets Under Uncertainty
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:07:01.454603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6e4132c-a56f-47b3-98a0-44b5bfbc5d80 · outbound
This paper cites Gambling in a rigged casino: The adversarial multi-armed bandit problem.
Learning in Matching Games with Bandit Feedback Gambling in a rigged casino: The adversarial multi-armed bandit problem
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.610710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8b711f67-65e2-463f-b003-b41eaa0f8449 · outbound
This paper cites The cost of stability in coalitional games.
Learning in Matching Games with Bandit Feedback The cost of stability in coalitional games
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.600772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1510f41b-93f0-4475-a974-a7750ca368c3 · outbound
This paper cites Beyond log2(t) regret for decentralized bandits in matching markets.
Learning in Matching Games with Bandit Feedback Beyond log2(t) regret for decentralized bandits in matching markets
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.576102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3bbdd5d1-a7c9-447e-bbe0-3327c123d0f0 · outbound
This paper cites Zero-sum polymatrix games: A generalization of minmax.
Learning in Matching Games with Bandit Feedback Zero-sum polymatrix games: A generalization of minmax
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.562264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eb99278e-aff0-4298-b433-9b6882627f6c · outbound
This paper cites Competing against Nash equilibria in adversarially changing zero-sum games.
Learning in Matching Games with Bandit Feedback Competing against Nash equilibria in adversarially changing zero-sum games
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.547559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2a171a29-0608-44b4-bd84-87cc89bba386 · outbound
This paper cites Cen and Devavrat Shah.
Learning in Matching Games with Bandit Feedback Cen and Devavrat Shah
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.517878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9490cf7f-9c0e-477b-b404-5b4d1e29c776 · outbound
This paper cites Prediction, Learning, and Games.
Learning in Matching Games with Bandit Feedback Prediction, Learning, and Games
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.508355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 119763ac-9d62-434c-a3d6-f268b5c7b40f · outbound
This paper cites Hedging in games: Faster convergence of external and swap regrets.
Learning in Matching Games with Bandit Feedback Hedging in games: Faster convergence of external and swap regrets
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.497928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b2790c61-e486-483f-bba9-60b3f7e077cd · outbound
This paper cites Two-sided bandits and the dating market.
Learning in Matching Games with Bandit Feedback Two-sided bandits and the dating market
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.488168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 98c64243-d2ee-47d2-92a9-19e63eddacf4 · outbound
This paper cites Near-optimal no-regret algo- rithms for zero-sum games.
Learning in Matching Games with Bandit Feedback Near-optimal no-regret algo- rithms for zero-sum games
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.478069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eaa410db-9b1d-45d8-8f29-655f2333d282 · outbound
This paper cites Near-optimal no-regret learning in general games.
Learning in Matching Games with Bandit Feedback Near-optimal no-regret learning in general games
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.466886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 064af466-a9e2-4855-91e2-cb6fc4e87f8b · outbound
This paper cites Near-optimal no-regret learning dynamics for general convex games.
Learning in Matching Games with Bandit Feedback Near-optimal no-regret learning dynamics for general convex games
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.455507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0f8c2c0d-dbf1-4679-8d80-5c1f1a2e5203 · outbound
This paper cites Asymptotic calibration.Biometrika, 85(2):379–390, 1998.
Learning in Matching Games with Bandit Feedback Asymptotic calibration.Biometrika, 85(2):379–390, 1998
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.444671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9b1c0316-f318-4065-b019-1388858b6233 · outbound
This paper cites Gale and L.
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:07:02.506193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3704cd9-c1c3-4055-b0bb-4643ec9909e0 · outbound
This paper cites Decentralized job matching.
Learning in Matching Games with Bandit Feedback Decentralized job matching
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-07T11:07:06.718964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86c46f27-8064-439d-979c-48ebb1e995b6 · outbound
This paper cites Approximation to bayes risk in repeated play.
Learning in Matching Games with Bandit Feedback Approximation to bayes risk in repeated play
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.432511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dfc261e9-8699-4ee4-a6ff-9c5e3558979b · outbound
This paper cites A simple adaptive procedure leading to correlated equilib- rium.
Learning in Matching Games with Bandit Feedback A simple adaptive procedure leading to correlated equilib- rium
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.421161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e27aa60b-1ebc-4106-8820-e183cc61ad6c · outbound
This paper cites Putting gale & shapley to work: Guaranteeing stability through learning.
Learning in Matching Games with Bandit Feedback Putting gale & shapley to work: Guaranteeing stability through learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.406905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8aa4244a-7f95-4fe3-8a00-0c655f4cc1ea · outbound
This paper cites Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback.
Learning in Matching Games with Bandit Feedback Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:07:06.980695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 20703b43-300b-4bf5-9460-e74a7bb98901 · outbound
This paper cites Equilibrium existence in bipartite social games: A generalization of stable matchings.
Learning in Matching Games with Bandit Feedback Equilibrium existence in bipartite social games: A generalization of stable matchings
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.396155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4cddc13-c817-42de-9949-1570d4cf39da · outbound
This paper cites Social games: Matching and the play of finitely repeated games.
Learning in Matching Games with Bandit Feedback Social games: Matching and the play of finitely repeated games
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.384368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3363e17c-4bc6-4763-9e86-5353b831d76c · outbound
This paper cites Learn- ing equilibria in matching markets from bandit feedback.
Learning in Matching Games with Bandit Feedback Learn- ing equilibria in matching markets from bandit feedback
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.373240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2504b3d0-d8b6-4862-9f5a-1f6e6f64bcab · outbound
This paper cites Learning Equilibria in Matching Markets from Bandit Feedback.
Learning in Matching Games with Bandit Feedback Learning Equilibria in Matching Markets from Bandit Feedback
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T11:07:06.961736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1ec2cd0a-9847-43b0-80bc-548de0d8df2c · outbound
This paper cites Thompson sampling for bandit learning in matching markets.
Learning in Matching Games with Bandit Feedback Thompson sampling for bandit learning in matching markets
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:07:03.496343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dbba708-aaf1-4f75-a9b4-8467e1751a91 · outbound
This paper cites Bandit algorithms.
Learning in Matching Games with Bandit Feedback Bandit algorithms
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.362246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 749a65e6-d623-46ac-9399-dd2ba71ca6e2 · outbound
This paper cites The weighted majority algorithm.
Learning in Matching Games with Bandit Feedback The weighted majority algorithm
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:07:03.670479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccb2466b-72a8-450d-a182-1bbebf4a87cb · outbound
This paper cites Liu, Horia Mania, and Michael Jordan.
Learning in Matching Games with Bandit Feedback Liu, Horia Mania, and Michael Jordan
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.344342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c1210ba0-7425-4673-a814-c01d0745581b · outbound
This paper cites Bandit learning in decentralized matching markets.
Learning in Matching Games with Bandit Feedback Bandit learning in decentralized matching markets
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.330033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 71711ff0-59d1-4553-a3ea-ce4cdd2cb807 · outbound
This paper cites Instance-dependent sample complexity bounds for zero-sum matrix games.
Learning in Matching Games with Bandit Feedback Instance-dependent sample complexity bounds for zero-sum matrix games
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.315767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7427cacc-8ffa-4762-bdec-9be768a83500 · outbound
This paper cites Compet- ing bandits in time varying matching markets.
Learning in Matching Games with Bandit Feedback Compet- ing bandits in time varying matching markets
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.303019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 45b60d79-dcfb-473d-a7e3-b1126a5676de · outbound
This paper cites Non-cooperative games.
Learning in Matching Games with Bandit Feedback Non-cooperative games
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.284680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 402e102f-ae6f-448f-b9c3-46d09a8317b4 · outbound
This paper cites Vazirani.Algorithmic Game Theory.
Learning in Matching Games with Bandit Feedback Vazirani.Algorithmic Game Theory
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.271624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b404fcfb-7cb6-4c5c-a8e2-131ef3fbf66f · outbound
This paper cites Matrix games with bandit feedback.
Learning in Matching Games with Bandit Feedback Matrix games with bandit feedback
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.257450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6549090c-cb71-4f8c-a03b-6aad636f4f53 · outbound
This paper cites Optimization, learning, and games with predictable sequences.
Learning in Matching Games with Bandit Feedback Optimization, learning, and games with predictable sequences
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.245027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 075845c9-7d72-4e50-8728-fbdc1366ae5e · outbound
This paper cites An iterative method of solving a game.
Learning in Matching Games with Bandit Feedback An iterative method of solving a game
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.232080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8d37ef4b-89ec-4c17-bcc5-76e6a7e9d66b · outbound
This paper cites The evolution of the labor market for medical interns and residents: a case study in game theory.
Learning in Matching Games with Bandit Feedback The evolution of the labor market for medical interns and residents: a case study in game theory
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.220126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a867c3f3-ad3f-4c80-851d-dc387f7a0029 · outbound
This paper cites Roth and Marilda A.
Learning in Matching Games with Bandit Feedback Roth and Marilda A
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.208853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7502628f-174c-4911-9314-e1fc7811c63d · outbound
This paper cites Dominate or delete: Decentralized competing bandits in serial dictatorship.
Learning in Matching Games with Bandit Feedback Dominate or delete: Decentralized competing bandits in serial dictatorship
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.197936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7318b154-937a-4360-beba-b8ce34bd520e · outbound
This paper cites Quasi-cores in a monetary economy with nonconvex preferences.
Learning in Matching Games with Bandit Feedback Quasi-cores in a monetary economy with nonconvex preferences
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.187089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 972e5027-23b5-4ddc-a150-9a71acd110f7 · outbound
This paper cites Fast convergence of regularized learning in games.
Learning in Matching Games with Bandit Feedback Fast convergence of regularized learning in games
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:07:05.397588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35eaf28a-5117-48a2-bac2-91bd87ad986c · outbound
This paper cites an unresolved cited work.
Learning in Matching Games with Bandit Feedback Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:07:07.167713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 14c47075-84a2-4cbb-ab8c-c93405fa8e71 · outbound
This paper cites Morgenstern, 0.
Learning in Matching Games with Bandit Feedback Morgenstern, 0
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.157569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f88d8e2b-23ec-481c-b292-db16fb3cc021 · outbound
This paper cites More adaptive algorithms for adversarial bandits.
Learning in Matching Games with Bandit Feedback More adaptive algorithms for adversarial bandits
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.146911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b5d03f9c-a95d-442e-b404-fd636b081af6 · outbound
This paper cites an unresolved cited work.
Learning in Matching Games with Bandit Feedback Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:07:07.134646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2b7a4494-0d64-4bbd-be87-a4dfbc417bc0 · outbound
This paper cites B) The matching m is stable under the strategies X.
Learning in Matching Games with Bandit Feedback B) The matching m is stable under the strategies X
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.121333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bfc95cea-f11b-4e7d-90bd-2472ae86aa21 · outbound
This paper cites an unresolved cited work.
Learning in Matching Games with Bandit Feedback Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:07:07.109407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 35c631c2-8be0-4efb-a2ea-2df0b4954f51 · outbound
This paper cites an unresolved cited work.
Learning in Matching Games with Bandit Feedback Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:07:07.098396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d0572fe9-866d-45ed-9d97-b2b44c798d0b · outbound
This paper cites We denote by (x⋆ p, y⋆ a) the Nash equilibrium of the game with payoff matrix ¯Ap,a, and by ¯V ⋆ p,a = x⋆T p ¯Ap,ay⋆ a the value of the game.
Learning in Matching Games with Bandit Feedback We denote by (x⋆ p, y⋆ a) the Nash equilibrium of the game with payoff matrix ¯Ap,a, and by ¯V ⋆ p,a = x⋆T p ¯Ap,ay⋆ a the value of the game
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.086422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e731f173-e8c1-42b0-adaf-b1ffb690c541 · outbound
This paper cites s 2 1 ∨ nt a,mt(a)(ita, it mt(a)) log 1 δ # (31) ≤ 2 TX t=1 X (p,a)∈mt E.
Learning in Matching Games with Bandit Feedback s 2 1 ∨ nt a,mt(a)(ita, it mt(a)) log 1 δ # (31) ≤ 2 TX t=1 X (p,a)∈mt E
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.074288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a09aaf13-bfb2-4037-ae96-cecc71722f49 · outbound
This paper cites URL http://www.jstor.org/stable/1969530.
Learning in Matching Games with Bandit Feedback URL http://www.jstor.org/stable/1969530
Reference 1951
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T11:07:06.945369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1eb2cdfe-f3f8-4cd2-b860-cc6107804387 · outbound
This paper cites Springer, 2009.
Learning in Matching Games with Bandit Feedback Springer, 2009
Reference 2009
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:07:07.590135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 28f78664-470c-486a-a09a-4f0bf3f3c660 · outbound
This paper cites an unresolved cited work.
Learning in Matching Games with Bandit Feedback Unresolved cited work
Reference 2019
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:07:07.529162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.