A No-Regret Framework for Adaptive Incentive Design | Paper Citation Record

Observation 00007f88-b896-437b-b72f-4a58d8700f64 · outbound

This paper cites A two-stage mechanism for demand response markets,.

A No-Regret Framework for Adaptive Incentive Design A two-stage mechanism for demand response markets,

Reference 1

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Observation 6b17ffa0-f25d-4785-8e2a-bdd8b9b47aff · outbound

This paper cites Adaptive pricing for optimal coordination in networked energy systems with nonsmooth cost functions,.

A No-Regret Framework for Adaptive Incentive Design Adaptive pricing for optimal coordination in networked energy systems with nonsmooth cost functions,

Reference 2

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Observation 767d9b7e-376d-4756-9861-793e0a7443a6 · outbound

This paper cites Eco-driving incentive mechanisms for mitigating emissions in urban transportation,.

A No-Regret Framework for Adaptive Incentive Design Eco-driving incentive mechanisms for mitigating emissions in urban transportation,

Reference 3

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Observation cfe01bf6-db23-4884-bf76-114fce59264b · outbound

This paper cites A class of distributed adaptive pricing mechanisms for societal systems with limited information,.

A No-Regret Framework for Adaptive Incentive Design A class of distributed adaptive pricing mechanisms for societal systems with limited information,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation baef8adb-c6fd-4f29-b239-d192afa5a3c2 · outbound

This paper cites Dynamic incentives for congestion control,.

A No-Regret Framework for Adaptive Incentive Design Dynamic incentives for congestion control,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 89017b7e-3f55-4fb9-b80c-a736ac1dd611 · outbound

This paper cites Toward System-Optimal Routing in Traffic Networks: A Reverse Stackelberg Game Approach,.

A No-Regret Framework for Adaptive Incentive Design Toward System-Optimal Routing in Traffic Networks: A Reverse Stackelberg Game Approach,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 2beaaca8-f9b8-4b0c-9b8d-3e73c9c13c37 · outbound

This paper cites Selling information in competitive environments,.

A No-Regret Framework for Adaptive Incentive Design Selling information in competitive environments,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 6b1950cf-09e8-4497-b64b-c41e143d646b · outbound

This paper cites Reverse Stackelberg games, Part I: Basic framework,.

A No-Regret Framework for Adaptive Incentive Design Reverse Stackelberg games, Part I: Basic framework,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 36d95916-86e1-47ad-bc5c-91d28fe5f605 · outbound

This paper cites Reverse Stackelberg games, part II: Results and open issues,.

A No-Regret Framework for Adaptive Incentive Design Reverse Stackelberg games, part II: Results and open issues,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 32bde02d-c7bd-4637-918b-facc1c345e92 · outbound

This paper cites Phenomena in Inverse Stackelberg Games, Part 1: Static Problems,.

A No-Regret Framework for Adaptive Incentive Design Phenomena in Inverse Stackelberg Games, Part 1: Static Problems,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation ad9890f6-6e3c-4bd3-927b-cab7011091e4 · outbound

This paper cites Phenomena in Inverse Stackelberg Games, Part 2: Dynamic Problems,.

A No-Regret Framework for Adaptive Incentive Design Phenomena in Inverse Stackelberg Games, Part 2: Dynamic Problems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 53d810f7-5a24-4c09-a8dd-ff5c6fc537b4 · outbound

This paper cites A control-theoretic view on incentives,.

A No-Regret Framework for Adaptive Incentive Design A control-theoretic view on incentives,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation e7791122-bdf6-4842-9982-ccc192aa2a47 · outbound

This paper cites Affine Incentive Schemes for Stochastic Systems with Dynamic Information,.

A No-Regret Framework for Adaptive Incentive Design Affine Incentive Schemes for Stochastic Systems with Dynamic Information,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation d6207f71-80d2-4e65-830e-3dd2433a3cd5 · outbound

This paper cites On the design of incentive schemes under moral hazard and adverse selection,.

A No-Regret Framework for Adaptive Incentive Design On the design of incentive schemes under moral hazard and adverse selection,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 5aa8f76a-be7b-4442-a118-6ef73bc89a01 · outbound

This paper cites A Perspective on Incentive Design: Challenges and Opportunities,.

A No-Regret Framework for Adaptive Incentive Design A Perspective on Incentive Design: Challenges and Opportunities,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 272b3af3-a74c-42bf-910c-e00d45ec93ee · outbound

This paper cites Adaptive Incentive Design,.

A No-Regret Framework for Adaptive Incentive Design Adaptive Incentive Design,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 85d88568-9897-4762-b3b7-676d33a6ee64 · outbound

This paper cites Incentive Design without Hypergradients: A Social-Gradient Method.

A No-Regret Framework for Adaptive Incentive Design Incentive Design without Hypergradients: A Social-Gradient Method

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-02T00:16:25.527708Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 07364c29-87cb-4782-b458-3e36607dc5bf · outbound

This paper cites Adaptive incentive design with learning agents,.

A No-Regret Framework for Adaptive Incentive Design Adaptive incentive design with learning agents,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 369f6fea-2220-4869-bd5b-8babf6007745 · outbound

This paper cites Fudenberg and J.

A No-Regret Framework for Adaptive Incentive Design Fudenberg and J

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation f70c8d00-b027-4113-84f3-d72da51b8d28 · outbound

This paper cites The solution to a kind of stackelberg game systems with multi-follower: Coordinative and incentive,.

A No-Regret Framework for Adaptive Incentive Design The solution to a kind of stackelberg game systems with multi-follower: Coordinative and incentive,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation eee0a462-a771-4130-ad83-f8fb2f89e55b · outbound

This paper cites Pricing for Coordination in Open–Loop Differential Games,.

A No-Regret Framework for Adaptive Incentive Design Pricing for Coordination in Open–Loop Differential Games,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation a02b26ae-e670-475f-ab49-d18bba957b80 · outbound

This paper cites Information structure, stackelberg games, and incentive controllability,.

A No-Regret Framework for Adaptive Incentive Design Information structure, stackelberg games, and incentive controllability,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation d3ccef66-2c84-420c-b5e1-20ab6b86cd58 · outbound

This paper cites Existence and derivation of optimal affine incentive schemes for Stackelberg games with partial information: A geometric approach,.

A No-Regret Framework for Adaptive Incentive Design Existence and derivation of optimal affine incentive schemes for Stackelberg games with partial information: A geometric approach,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 8d9c7c73-cf0f-4789-8578-9c20c89cfa49 · outbound

This paper cites The Concept of Inducible Region in Stackelberg Games,.

A No-Regret Framework for Adaptive Incentive Design The Concept of Inducible Region in Stackelberg Games,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 664525d4-aabf-4742-a0d4-72ce34e9d1ad · outbound

This paper cites Closed-loop Stackelberg strategies with applications in the optimal control of multilevel systems,.

A No-Regret Framework for Adaptive Incentive Design Closed-loop Stackelberg strategies with applications in the optimal control of multilevel systems,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 31e31217-4e44-4224-9221-199f9475ee55 · outbound

This paper cites Closed-loop Stackelberg solution to a multistage linear-quadratic game,.

A No-Regret Framework for Adaptive Incentive Design Closed-loop Stackelberg solution to a multistage linear-quadratic game,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation b6387829-c77b-4db9-9138-4c46b9b1a9f2 · outbound

This paper cites Leader-follower strategies for multilevel systems,.

A No-Regret Framework for Adaptive Incentive Design Leader-follower strategies for multilevel systems,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 4c04f87e-80be-49ef-834e-f000616f809c · outbound

This paper cites A Stackelberg solution for games with many players,.

A No-Regret Framework for Adaptive Incentive Design A Stackelberg solution for games with many players,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 48bceb3e-072a-48c4-a1f7-39771929ff84 · outbound

This paper cites Credibility and rationality of players strategies in multilevel games,.

A No-Regret Framework for Adaptive Incentive Design Credibility and rationality of players strategies in multilevel games,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 4e59f5b4-47fe-420d-9006-df826b28d180 · outbound

This paper cites Credibility in stackelberg games,.

A No-Regret Framework for Adaptive Incentive Design Credibility in stackelberg games,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 043c791d-fe59-43d7-9a6e-c7a8a696bbc5 · outbound

This paper cites Optimal incentive strategy for leader- follower games,.

A No-Regret Framework for Adaptive Incentive Design Optimal incentive strategy for leader- follower games,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation d5caf408-697f-419c-a1c2-e4e03a5dd3d8 · outbound

This paper cites Performance versus informativeness in linear-quadratic Gaussian noncooperative games,.

A No-Regret Framework for Adaptive Incentive Design Performance versus informativeness in linear-quadratic Gaussian noncooperative games,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 877975cd-e7ec-4fb3-8342-72de1bd49559 · outbound

This paper cites Active inverse methods in stackelberg games with bounded rationality,.

A No-Regret Framework for Adaptive Incentive Design Active inverse methods in stackelberg games with bounded rationality,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation e9c863ac-ffd0-4e4f-af30-dbe0591fd8df · outbound

This paper cites Commitment Without Regrets: Online Learning in Stackelberg Security Games,.

A No-Regret Framework for Adaptive Incentive Design Commitment Without Regrets: Online Learning in Stackelberg Security Games,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation b63e86ec-6304-4622-a362-b66e02c7dc19 · outbound

This paper cites No-Regret Learning in Dynamic Stackelberg Games,.

A No-Regret Framework for Adaptive Incentive Design No-Regret Learning in Dynamic Stackelberg Games,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 46608dee-d8bd-42d8-aa97-9c7169a00711 · outbound

This paper cites A soft inducement framework for incentive-aided steering of no-regret players,.

A No-Regret Framework for Adaptive Incentive Design A soft inducement framework for incentive-aided steering of no-regret players,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 562806c2-adce-4147-bcca-c604550d42ac · outbound

This paper cites Contextual games: multi-agent learning with side information,.

A No-Regret Framework for Adaptive Incentive Design Contextual games: multi-agent learning with side information,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation ab9f5032-bd63-4397-93b2-1048f347c25b · outbound

This paper cites Regret minimization in stackelberg games with side information,.

A No-Regret Framework for Adaptive Incentive Design Regret minimization in stackelberg games with side information,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation f6b1ddde-18d5-4cca-bf69-38a32d2a94e0 · outbound

This paper cites Stochastic Adaptive Control for Systems with Nonlinear Parameterization: Almost Sure Stability and Tracking.

A No-Regret Framework for Adaptive Incentive Design Stochastic Adaptive Control for Systems with Nonlinear Parameterization: Almost Sure Stability and Tracking

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-02T00:16:25.531714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fef4762a-e6b6-4abe-8aca-6f999b3416b7 · outbound

This paper cites Self-identifying internal model-based online optimization,.

A No-Regret Framework for Adaptive Incentive Design Self-identifying internal model-based online optimization,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 9caaa213-78b2-4548-9629-0d45475ab7fe · outbound

This paper cites Online Learning for Nonlinear Dynamical Systems without the I.I.D. Condition.

A No-Regret Framework for Adaptive Incentive Design Online Learning for Nonlinear Dynamical Systems without the I.I.D. Condition

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:16:25.523961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3570f17a-d475-400f-b9ca-1eec6c26f4b4 · outbound

This paper cites Revealed Preference,.

A No-Regret Framework for Adaptive Incentive Design Revealed Preference,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 9d2b6639-0c5c-4045-897d-9510377f4da3 · outbound

This paper cites The Nonparametric Approach to Demand Analysis,.

A No-Regret Framework for Adaptive Incentive Design The Nonparametric Approach to Demand Analysis,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 08c385f8-cc4c-4d23-accf-3ce0f412fb3a · outbound

This paper cites The Construction of Utility Functions from Expenditure Data,.

A No-Regret Framework for Adaptive Incentive Design The Construction of Utility Functions from Expenditure Data,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 6b4585c4-51f3-45f3-9a0a-eafb60140163 · outbound

This paper cites Inverse game theory: Learning utilities in succinct games,.

A No-Regret Framework for Adaptive Incentive Design Inverse game theory: Learning utilities in succinct games,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 99f76230-950a-4819-b429-ae6971486cbb · outbound

This paper cites Estimating a Game Theoretic Model,.

A No-Regret Framework for Adaptive Incentive Design Estimating a Game Theoretic Model,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 392d1a33-fb94-4747-8559-73dcd59eb7a2 · outbound

This paper cites Algorithms for inverse reinforcement learning,.

A No-Regret Framework for Adaptive Incentive Design Algorithms for inverse reinforcement learning,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 714e48e3-4ea6-43cb-aa30-f8d1a4cf6915 · outbound

This paper cites Least Squares Estimates in Stochastic Regression Models with Applications to Identification and Control of Dynamic Systems,.

A No-Regret Framework for Adaptive Incentive Design Least Squares Estimates in Stochastic Regression Models with Applications to Identification and Control of Dynamic Systems,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 94032b6b-2567-4448-98b3-e31c6dccda3c · outbound

This paper cites Bolton, M.

A No-Regret Framework for Adaptive Incentive Design Bolton, M

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation d1d79a8e-fef5-4eff-b313-3d231a8b9d72 · outbound

This paper cites Socially optimal energy usage via adaptive pricing,.

A No-Regret Framework for Adaptive Incentive Design Socially optimal energy usage via adaptive pricing,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation c13d9cc7-c837-431c-9685-240e35317b33 · outbound

This paper cites Existence and Uniqueness of Equilibrium Points for Concave N-Person Games,.

A No-Regret Framework for Adaptive Incentive Design Existence and Uniqueness of Equilibrium Points for Concave N-Person Games,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 99bd0012-26e4-4dd4-a501-24620a0e120e · outbound

This paper cites Adaptive Incentive Design with Regret Minimization.

A No-Regret Framework for Adaptive Incentive Design Adaptive Incentive Design with Regret Minimization

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-02T00:16:25.535239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49960125-957f-48ed-83cd-c70f9b5a5435 · outbound

This paper cites Identification and estimation of polynomial errors- in-variables models,.

A No-Regret Framework for Adaptive Incentive Design Identification and estimation of polynomial errors- in-variables models,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 246d4431-0da6-45ee-9058-aafcceaf2645 · outbound

This paper cites Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators,.

A No-Regret Framework for Adaptive Incentive Design Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation e4a0bd97-d431-42ba-9f1b-b4027739db88 · outbound

This paper cites Intrinsic tetrahedron formation of reduced attitude,.

A No-Regret Framework for Adaptive Incentive Design Intrinsic tetrahedron formation of reduced attitude,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 9c5ef928-fc7c-4b91-a2da-2eb6a2ba0bd8 · outbound

This paper cites An intrinsic approach to formation control of regular polyhedra for reduced attitudes,.

A No-Regret Framework for Adaptive Incentive Design An intrinsic approach to formation control of regular polyhedra for reduced attitudes,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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Observation 9f5e0425-1fe8-41a3-92e9-c2ed8426d205 · outbound

This paper cites Modeling collective behaviors: A moment-based approach,.

A No-Regret Framework for Adaptive Incentive Design Modeling collective behaviors: A moment-based approach,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-28T13:26:38.418332Z

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