Learning Truthful Mechanisms without Discretization | Paper Citation Record

Observation 57102e47-07a0-4150-8eb0-e73ed813ea3f · outbound

This paper cites Towards data auctions with externalities.

Learning Truthful Mechanisms without Discretization Towards data auctions with externalities

Reference 1

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This paper cites Automated design of robust mecha- nisms.

Learning Truthful Mechanisms without Discretization Automated design of robust mecha- nisms

Reference 2

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This paper cites Backpropagation and stochastic gradient descent method.

Learning Truthful Mechanisms without Discretization Backpropagation and stochastic gradient descent method

Reference 3

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Observation 27f2512e-4196-4d47-a2e8-3b638cc35e98 · outbound

This paper cites Input convex neural networks.

Learning Truthful Mechanisms without Discretization Input convex neural networks

Reference 4

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Observation 5031d63b-1d47-4060-ae5c-ccfc2b3b9abd · outbound

This paper cites Near-optimal max-affine estimators for convex regression.

Learning Truthful Mechanisms without Discretization Near-optimal max-affine estimators for convex regression

Reference 5

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Observation 8553bc7d-2a80-4436-a6cf-61a9501db2a9 · outbound

This paper cites Sample complexity of automated mechanism design.

Learning Truthful Mechanisms without Discretization Sample complexity of automated mechanism design

Reference 6

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This paper cites MAC advice for facility loca- tion mechanism design.

Learning Truthful Mechanisms without Discretization MAC advice for facility loca- tion mechanism design

Reference 7

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Observation 2a448ba1-bc40-4b43-a573-dda93216307d · outbound

This paper cites Universal approximation bounds for superpositions of a sigmoidal func- tion.

Learning Truthful Mechanisms without Discretization Universal approximation bounds for superpositions of a sigmoidal func- tion

Reference 8

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Observation f65c3bde-f4cd-403b-add1-4002e1c19551 · outbound

This paper cites Dynamic programming.

Learning Truthful Mechanisms without Discretization Dynamic programming

Reference 9

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This paper cites The curse of highly variable functions for local kernel machines.

Learning Truthful Mechanisms without Discretization The curse of highly variable functions for local kernel machines

Reference 10

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Observation e1183996-5e50-488f-864d-c615b7cb428c · outbound

This paper cites Methodology for Designing Reasonably Expressive Mechanisms with Application to Ad Auctions.

Learning Truthful Mechanisms without Discretization Methodology for Designing Reasonably Expressive Mechanisms with Application to Ad Auctions

Reference 11

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Observation e4e44873-e310-4d4e-b341-be7af078900c · outbound

This paper cites Welfare and profit maximization with production costs.

Learning Truthful Mechanisms without Discretization Welfare and profit maximization with production costs

Reference 12

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Observation 91a7bd91-eeb2-4b90-bce6-4db9e5840b61 · outbound

This paper cites Large-scale machine learning with stochastic gradient descent.

Learning Truthful Mechanisms without Discretization Large-scale machine learning with stochastic gradient descent

Reference 13

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Observation a268b65a-2737-4803-923b-0480759fab43 · outbound

This paper cites Convex optimization.

Learning Truthful Mechanisms without Discretization Convex optimization

Reference 14

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Observation 77f8dc4a-f05d-4cbc-936d-bedddeb73354 · outbound

This paper cites An Introduction to the Theory of Mechanism Design.

Learning Truthful Mechanisms without Discretization An Introduction to the Theory of Mechanism Design

Reference 15

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Observation dfed6679-c798-470e-a0fa-d9e12598583c · outbound

This paper cites Optimal multi-dimensional mechanism design: Reducing revenue to welfare maximization.

Learning Truthful Mechanisms without Discretization Optimal multi-dimensional mechanism design: Reducing revenue to welfare maximization

Reference 16

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Observation 2600b9bb-d826-4f35-a4b8-65c1de008c94 · outbound

This paper cites Log-sum-exp neural net- works and posynomial models for convex and log-log-convex data.

Learning Truthful Mechanisms without Discretization Log-sum-exp neural net- works and posynomial models for convex and log-log-convex data

Reference 17

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Observation 83ee5b39-2457-4835-b4bd-7a3e02fa8e76 · outbound

This paper cites Truthful implementation and preference aggregation in restricted domains.

Learning Truthful Mechanisms without Discretization Truthful implementation and preference aggregation in restricted domains

Reference 18

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Observation 26e51296-4403-45eb-be76-3b432c48ae5a · outbound

This paper cites Mechanism Design for Facility Location Problem: A Survey.

Learning Truthful Mechanisms without Discretization Mechanism Design for Facility Location Problem: A Survey

Reference 19

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Observation 4cb9130e-c0d3-4f25-8b56-daf5ce4dbf21 · outbound

This paper cites Optimal competitive auctions.

Learning Truthful Mechanisms without Discretization Optimal competitive auctions

Reference 20

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Observation 275b6d4c-3646-4ed6-a04c-d72eee03310a · outbound

This paper cites The complexity of optimal multidimensional pricing.

Learning Truthful Mechanisms without Discretization The complexity of optimal multidimensional pricing

Reference 21

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Observation 55ce1b74-2f13-484f-afc0-3c207d50aa03 · outbound

This paper cites Strategy-proofness and “median voters.

Learning Truthful Mechanisms without Discretization Strategy-proofness and “median voters

Reference 22

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Observation b1fd6a1c-c126-4930-aa9c-ba6a4d72022c · outbound

This paper cites Multipart pricing of public goods.

Learning Truthful Mechanisms without Discretization Multipart pricing of public goods

Reference 23

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Observation 01c0499f-e87b-4c8b-96d8-aa4199122453 · outbound

This paper cites Incremental mechanism design.

Learning Truthful Mechanisms without Discretization Incremental mechanism design

Reference 24

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Observation b76e8258-4412-4a13-adc5-8924536a4684 · outbound

This paper cites Differentiable economics for ran- domized affine maximizer auctions.

Learning Truthful Mechanisms without Discretization Differentiable economics for ran- domized affine maximizer auctions

Reference 25

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Observation f0e9e74b-79ab-4245-b973-2e161f84e9b3 · outbound

This paper cites Automated design of affine maximizer mechanisms in dynamic set- tings.

Learning Truthful Mechanisms without Discretization Automated design of affine maximizer mechanisms in dynamic set- tings

Reference 26

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Observation 5613cbca-513d-4b88-8b74-d0e13ce3cba1 · outbound

This paper cites Certifying strategyproof auction networks.

Learning Truthful Mechanisms without Discretization Certifying strategyproof auction networks

Reference 27

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Observation 7588f277-fe1b-430a-ad32-3d5119eb6689 · outbound

This paper cites Optimal Automated Market Makers: Differentiable Economics and Strong Duality.

Learning Truthful Mechanisms without Discretization Optimal Automated Market Makers: Differentiable Economics and Strong Duality

Reference 28

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Observation 7a6a0215-c7fb-4f2a-9b89-9d0434edc277 · outbound

This paper cites Learning revenue-maximizing auctions with differentiable matching.

Learning Truthful Mechanisms without Discretization Learning revenue-maximizing auctions with differentiable matching

Reference 29

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Observation 42c4d617-3a1b-463f-8413-df0558621710 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Learning Truthful Mechanisms without Discretization Approximation by superpositions of a sigmoidal function

Reference 30

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Observation 76620333-305d-4373-adb3-29141635fb82 · outbound

This paper cites Strong duality for a multiple-good monopolist.

Learning Truthful Mechanisms without Discretization Strong duality for a multiple-good monopolist

Reference 31

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Observation e987b88f-bc1b-4c00-90fd-52b24a4b26fc · outbound

This paper cites Identifying and attacking the saddle point problem in high-dimensional non-convex optimization.

Learning Truthful Mechanisms without Discretization Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Reference 32

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Observation 5febc184-bc6a-48e4-ac69-01484fdfa0eb · outbound

This paper cites Continuity properties of Paretian utility.

Learning Truthful Mechanisms without Discretization Continuity properties of Paretian utility

Reference 33

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Observation 53a96779-0ea2-4f5e-a62a-5df93b8c06ca · outbound

This paper cites Procurement Auctions via Approximately Optimal Submodular Optimization.

Learning Truthful Mechanisms without Discretization Procurement Auctions via Approximately Optimal Submodular Optimization

Reference 34

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Observation c07f3f6d-e474-47af-a2d0-4bfb2607c753 · outbound

This paper cites A context-integrated transformer-based neural network for auction design.

Learning Truthful Mechanisms without Discretization A context-integrated transformer-based neural network for auction design

Reference 35

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Observation 59b4249d-e197-4cbc-97e2-c298546c9a81 · outbound

This paper cites A scalable neural network for DSIC affine maximizer auction design.

Learning Truthful Mechanisms without Discretization A scalable neural network for DSIC affine maximizer auction design

Reference 36

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Observation e1831598-7d6a-4973-8bf6-5e3c3d231c81 · outbound

This paper cites Mechanism design for large language models.

Learning Truthful Mechanisms without Discretization Mechanism design for large language models

Reference 37

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This paper cites Deep Reinforcement Learning in Large Discrete Action Spaces.

Learning Truthful Mechanisms without Discretization Deep Reinforcement Learning in Large Discrete Action Spaces

Reference 38

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Observation d546b0d9-6032-477a-bca6-82cbeb7e0c03 · outbound

This paper cites Optimal auctions through deep learning.

Learning Truthful Mechanisms without Discretization Optimal auctions through deep learning

Reference 39

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Observation 97a7b71f-2bc1-4e33-9d7c-14f1a296e33a · outbound

This paper cites Optimal auctions through deep learning: Advances in differentiable economics.

Learning Truthful Mechanisms without Discretization Optimal auctions through deep learning: Advances in differentiable economics

Reference 40

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Observation a60fa36e-4ebe-4c74-9521-8f9a523d43d3 · outbound

This paper cites Reverse Auction Relinquishing Broadcast Spectrum Rights.

Learning Truthful Mechanisms without Discretization Reverse Auction Relinquishing Broadcast Spectrum Rights

Reference 41

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This paper cites College admissions and the stability of marriage.

Learning Truthful Mechanisms without Discretization College admissions and the stability of marriage

Reference 42

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Observation 13352a68-0fef-48ae-8a52-170c61b4fdb8 · outbound

This paper cites Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images.

Learning Truthful Mechanisms without Discretization Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images

Reference 43

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Observation f4752200-7fb1-4a3b-9de7-49d4f04aba6c · outbound

This paper cites Reverse auctions are different from auctions.

Learning Truthful Mechanisms without Discretization Reverse auctions are different from auctions

Reference 44

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This paper cites Duality and optimality of auctions for uniform distributions.

Learning Truthful Mechanisms without Discretization Duality and optimality of auctions for uniform distributions

Reference 45

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This paper cites Manipulation of voting schemes: a general result.

Learning Truthful Mechanisms without Discretization Manipulation of voting schemes: a general result

Reference 46

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Observation 4f6ccd96-8f13-46aa-a718-e21bcd3f6e4d · outbound

This paper cites Competitive auctions for multiple digital goods.

Learning Truthful Mechanisms without Discretization Competitive auctions for multiple digital goods

Reference 47

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Observation d14259cb-9f59-43cb-b941-dd063be670ac · outbound

This paper cites A lower bound on the competitive ratio of truthful auctions.

Learning Truthful Mechanisms without Discretization A lower bound on the competitive ratio of truthful auctions

Reference 48

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This paper cites Deep learning for multi- facility location mechanism design.

Learning Truthful Mechanisms without Discretization Deep learning for multi- facility location mechanism design

Reference 49

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This paper cites Deep Learning.

Learning Truthful Mechanisms without Discretization Deep Learning

Reference 50

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This paper cites Approximation guarantees of Median Mechanism in Rd.

Learning Truthful Mechanisms without Discretization Approximation guarantees of Median Mechanism in Rd

Reference 51

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This paper cites Incentives in teams.

Learning Truthful Mechanisms without Discretization Incentives in teams

Reference 52

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Observation 5b914a3f-312f-4460-9a8d-42c26db8f75e · outbound

This paper cites Settling the sample complexity of single- parameter revenue maximization.

Learning Truthful Mechanisms without Discretization Settling the sample complexity of single- parameter revenue maximization

Reference 53

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Observation 8fbd5680-4c7b-44cb-a8ed-70b816e838a4 · outbound

This paper cites Computationally feasible automated mechanism design: General approach and case studies.

Learning Truthful Mechanisms without Discretization Computationally feasible automated mechanism design: General approach and case studies

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:22.817309Z

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This paper cites Optimizing affine maximizer auctions via linear programming: an application to revenue maximizing mechanism design for zero-day exploits markets.

Learning Truthful Mechanisms without Discretization Optimizing affine maximizer auctions via linear programming: an application to revenue maximizing mechanism design for zero-day exploits markets

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:22.955541Z

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Observation 53fa4dae-a350-472e-a315-c5362b82f2df · outbound

This paper cites Prior-Independent Auctions for Heterogeneous Bidders.

Learning Truthful Mechanisms without Discretization Prior-Independent Auctions for Heterogeneous Bidders

Reference 56

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This paper cites Automated on- line mechanism design and prophet inequalities.

Learning Truthful Mechanisms without Discretization Automated on- line mechanism design and prophet inequalities

Reference 57

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Observation 8c8728d7-f23c-4dfa-878e-28e301d9d615 · outbound

This paper cites Straightforward individual incentive compatibility in large economies.

Learning Truthful Mechanisms without Discretization Straightforward individual incentive compatibility in large economies

Reference 58

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This paper cites Universal approximation of symmetric and anti-symmetric functions.

Learning Truthful Mechanisms without Discretization Universal approximation of symmetric and anti-symmetric functions

Reference 59

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This paper cites Profit maximization in mechanism design.

Learning Truthful Mechanisms without Discretization Profit maximization in mechanism design

Reference 60

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This paper cites Gaussian Error Linear Units (GELUs).

Learning Truthful Mechanisms without Discretization Gaussian Error Linear Units (GELUs)

Reference 61

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This paper cites Welfare maximization with production costs: A primal dual approach.

Learning Truthful Mechanisms without Discretization Welfare maximization with production costs: A primal dual approach

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:49.863067Z

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Observation c6721c6f-079b-4441-a05c-4af4b738fa13 · outbound

This paper cites Optimal-er auctions through attention.

Learning Truthful Mechanisms without Discretization Optimal-er auctions through attention

Reference 63

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Observation ef2e18dc-215a-47bb-8d47-37c859266f96 · outbound

This paper cites Posted Price Mechanisms for Online Allocation with Disec- onomies of Scale.

Learning Truthful Mechanisms without Discretization Posted Price Mechanisms for Online Allocation with Disec- onomies of Scale

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:49.379759Z

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Observation e34f5530-84c6-4701-8182-bb20ba1223dc · outbound

This paper cites An Online Intelligent Task Pricing Mechanism Based on Reverse Auction in Mobile Crowdsensing Networks for the Internet of Things.

Learning Truthful Mechanisms without Discretization An Online Intelligent Task Pricing Mechanism Based on Reverse Auction in Mobile Crowdsensing Networks for the Internet of Things

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:49.112564Z

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Observation e17d3687-e1d4-423b-bfe6-549cc9bf8502 · outbound

This paper cites Estimation of particle transmission by random sampling.

Learning Truthful Mechanisms without Discretization Estimation of particle transmission by random sampling

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:48.880579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c93494be-dc5e-429e-973b-0ed2e68c4b29 · outbound

This paper cites Parameterized convex universal approximators for decision- making problems.

Learning Truthful Mechanisms without Discretization Parameterized convex universal approximators for decision- making problems

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:48.590802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8ed81b5-07d6-4219-8ef8-0d51daa396ec · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Truthful Mechanisms without Discretization Adam: A Method for Stochastic Optimization

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:24.218228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb63ce5-d980-4203-b61a-bf9aea8f1d68 · outbound

This paper cites Bayesian estimates of equation system parameters: an application of integration by Monte Carlo.

Learning Truthful Mechanisms without Discretization Bayesian estimates of equation system parameters: an application of integration by Monte Carlo

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:48.340250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b0f7ec0-904c-4c77-9e65-1ad33ea11f51 · outbound

This paper cites Total-cost procurement auctions: Impact of suppliers’ cost adjustments on auction format choice.

Learning Truthful Mechanisms without Discretization Total-cost procurement auctions: Impact of suppliers’ cost adjustments on auction format choice

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:48.012487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6cc72ebd-f118-4784-b233-1d7c8b37a6a4 · outbound

This paper cites Faster first-order methods for extensive-form game solving.

Learning Truthful Mechanisms without Discretization Faster first-order methods for extensive-form game solving

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:47.710679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cfbfe6c9-4b61-4b4a-831f-16d4759af485 · outbound

This paper cites Towards a characterization of truthful combi- natorial auctions.

Learning Truthful Mechanisms without Discretization Towards a characterization of truthful combi- natorial auctions

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:47.388967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f949a3ae-ef4f-41e1-a9d3-6d93edba9319 · outbound

This paper cites Two simplified proofs for Roberts’ theorem.

Learning Truthful Mechanisms without Discretization Two simplified proofs for Roberts’ theorem

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:46.824269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e8a7139-734b-4a8f-9c46-c232d294cfff · outbound

This paper cites Truthful and near-optimal mechanism design via linear programming.

Learning Truthful Mechanisms without Discretization Truthful and near-optimal mechanism design via linear programming

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:46.502859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6676b129-9c08-4de0-b955-0c7148d22cef · outbound

This paper cites Deep learning.

Learning Truthful Mechanisms without Discretization Deep learning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:46.175708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation def9fba6-91ba-4c11-acbb-bdb14e4c8d72 · outbound

This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks.

Learning Truthful Mechanisms without Discretization Set transformer: A framework for attention-based permutation-invariant neural networks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:45.916232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 189d8397-9c54-440c-80d6-452f0a2f6dcf · outbound

This paper cites Approximating revenue-maximizing combi- natorial auctions.

Learning Truthful Mechanisms without Discretization Approximating revenue-maximizing combi- natorial auctions

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:45.606448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c840a5e-5613-4f26-adda-3703ae0cf455 · outbound

This paper cites Bundling as an optimal selling mechanism for a multiple-good monopolist.

Learning Truthful Mechanisms without Discretization Bundling as an optimal selling mechanism for a multiple-good monopolist

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:45.356308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3bac1c1f-ec92-4795-b0fe-9f625261225a · outbound

This paper cites Microeconomic theory.

Learning Truthful Mechanisms without Discretization Microeconomic theory

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:45.061301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dabb16a4-eaf4-4589-b730-b4d29409548a · outbound

This paper cites The maximum numbers of faces of a convex polytope.

Learning Truthful Mechanisms without Discretization The maximum numbers of faces of a convex polytope

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:44.643715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0cd149c2-179c-4d44-9637-867c465d9bf9 · outbound

This paper cites Equation of state calculations by fast computing machines.

Learning Truthful Mechanisms without Discretization Equation of state calculations by fast computing machines

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:44.336076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8c13b39-5543-46f1-b6b7-529825804047 · outbound

This paper cites Envelope theorems for arbitrary choice sets.

Learning Truthful Mechanisms without Discretization Envelope theorems for arbitrary choice sets

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:43.988280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b17486ce-7d8f-4ce7-bc77-89b29dbb995b · outbound

This paper cites A theory of auctions and competitive bidding.

Learning Truthful Mechanisms without Discretization A theory of auctions and competitive bidding

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:43.707633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 148936be-4ad2-4267-9c81-c8221ea77ed9 · outbound

This paper cites On strategy-proofness and single peakedness.

Learning Truthful Mechanisms without Discretization On strategy-proofness and single peakedness

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:43.365450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58fa8d15-8c99-4df3-87d2-03f4913cc44b · outbound

This paper cites Incentive compatibility and the bargaining problem.

Learning Truthful Mechanisms without Discretization Incentive compatibility and the bargaining problem

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:42.996823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57ca2496-7631-4420-b933-b92d5a39b709 · outbound

This paper cites Optimal auction design.

Learning Truthful Mechanisms without Discretization Optimal auction design

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:42.688261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2b62b12-b57e-47c7-830a-277b7ff65739 · outbound

This paper cites Automated mech- anism design without money via machine learning.

Learning Truthful Mechanisms without Discretization Automated mech- anism design without money via machine learning

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:42.454373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9674d893-5d9d-43dd-8d93-c6757ff486d7 · outbound

This paper cites Affine maximizers in domains with selfish valuations.

Learning Truthful Mechanisms without Discretization Affine maximizers in domains with selfish valuations

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:42.091491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc29035f-6744-45f0-9f23-49ba1daf3d17 · outbound

This paper cites Sur une g´ en´ eralisation des int´ egrales de MJ Radon.

Learning Truthful Mechanisms without Discretization Sur une g´ en´ eralisation des int´ egrales de MJ Radon

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:41.773789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 886d0fed-c6d9-41f4-8abf-cbd2ed2e02e6 · outbound

This paper cites Algorithmic Game Theory.

Learning Truthful Mechanisms without Discretization Algorithmic Game Theory

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:41.505796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 584dfe81-c43c-4761-9d89-371c69d6dab0 · outbound

This paper cites Optimal mechanism for selling two goods.

Learning Truthful Mechanisms without Discretization Optimal mechanism for selling two goods

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:41.250654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ade873e-8565-4a46-8267-555bbb49dee5 · outbound

This paper cites Preferencenet: Encoding human preferences in auction design with deep learning.

Learning Truthful Mechanisms without Discretization Preferencenet: Encoding human preferences in auction design with deep learning

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:40.960148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f190efa-73b7-485b-9f5a-9aee51abc9f1 · outbound

This paper cites Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review.

Learning Truthful Mechanisms without Discretization Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:40.680453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 250766bd-ad59-429f-a75a-a76cbf2c58ef · outbound

This paper cites Benefits of permutation-equivariance in auction mechanisms.

Learning Truthful Mechanisms without Discretization Benefits of permutation-equivariance in auction mechanisms

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:40.393667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6e161fe-97aa-4d86-93a2-98695f067020 · outbound

This paper cites Auction learning as a two-player game.

Learning Truthful Mechanisms without Discretization Auction learning as a two-player game

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:03:31.531506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0ce2fd4-f2b8-4ae2-a153-8258c0f7feb3 · outbound

This paper cites Auction Learning as a Two-Player Game.

Learning Truthful Mechanisms without Discretization Auction Learning as a Two-Player Game

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:40.116497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation facaccac-745d-49ea-8e6b-e1271ad372ca · outbound

This paper cites A permutation-equivariant neural network architecture for auction de- sign.

Learning Truthful Mechanisms without Discretization A permutation-equivariant neural network architecture for auction de- sign

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:39.764959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65e9af19-9bff-4393-8d4d-8560418118eb · outbound

This paper cites Deep Learning for Two-Sided Matching.

Learning Truthful Mechanisms without Discretization Deep Learning for Two-Sided Matching

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:27.031927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 599a11f6-2c2b-4caa-a647-cb7e23cee919 · outbound

This paper cites url: https : / / www.

Learning Truthful Mechanisms without Discretization url: https : / / www

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:39.412386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54e00091-90d5-43f5-ae17-08c186330608 · outbound

This paper cites Exponential convergence of Langevin distribu- tions and their discrete approximations.

Learning Truthful Mechanisms without Discretization Exponential convergence of Langevin distribu- tions and their discrete approximations

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:39.156536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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