Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

Mechanism Design via the Interim Relaxation

Authors: Kshipra Bhawalkar, Marios Mertzanidis, Divyarthi Mohan, Alexandros Psomas

NeurIPS 2025 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical The paper does not include experiments. All claims made in the abstract are backed by mathematically proven theorems. (from NeurIPS checklist justifications for sections 1 and 4. The paper presents a novel framework, defines theoretical concepts like two-level OCRS, and proves theorems such as Theorem 1, 2, 3, 4, 5, and 6, and their corollaries and propositions, without any empirical evaluations or data analysis.)
Researcher Affiliation Collaboration Kshipra Bhawalkar Google Research EMAIL Marios Mertzanidis Purdue University EMAIL Divyarthi Mohan Tel Aviv University EMAIL Alexandros Psomas Purdue University EMAIL
Pseudocode Yes ALGORITHM 1: Our framework for t OCRSs, ALGORITHM 2: Bernoulli Division [Mor21], ALGORITHM 3: Our framework for t CRSs, ALGORITHM 4: Our sequential procurement auction when given an OCRS
Open Source Code No Justification: The paper does not include experiments requiring code.
Open Datasets No The paper does not include experiments, thus no datasets are used or made publicly available. (as per NeurIPS checklist justification for section 4)
Dataset Splits No The paper does not include experiments, therefore there is no discussion of dataset splits.
Hardware Specification No Justification: The paper does not include experiments.
Software Dependencies No Justification: The paper does not include experiments requiring code.
Experiment Setup No Justification: The paper does not include experiments.