Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
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.
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Authors: Siyu Chen, Theodor Misiakiewicz, Ilias Zadik, Peiyuan Zhang
NeurIPS 2025 | Venue PDF | LLM Run Details | Input Tokens: 39,217 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 2,338 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | There are no experimental results, as this is a theory paper. |
| Researcher Affiliation | Academia | Siyu Chen Department of Statistics and Data Science Yale University EMAIL Theodor Misiakiewicz Department of Statistics and Data Science Yale University EMAIL Ilias Zadik Department of Statistics and Data Science Yale University EMAIL Peiyuan Zhang Department of Statistics and Data Science Yale University EMAIL |
| Pseudocode | No | The paper discusses various algorithms and methods conceptually (e.g., "low-degree polynomial (LDP) lower bounds", "Statistical Query (SQ) lower bounds", "local algorithms such as Langevin or Glauber dynamics"), but it does not present any pseudocode or algorithm blocks with structured steps in the main text or appendices. |
| Open Source Code | No | There are no experimental results, as this is a theory paper. |
| Open Datasets | No | There are no experimental results, as this is a theory paper. |
| Dataset Splits | No | There are no experimental results, as this is a theory paper. |
| Hardware Specification | No | There are no experimental results, as this is a theory paper. |
| Software Dependencies | No | There are no experimental results, as this is a theory paper. |
| Experiment Setup | No | There are no experimental results, as this is a theory paper. |