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..
Light Agents Searching for Hot Information
Authors: Dariusz R. Kowalski, Dominik Pajak
IJCAI 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Ours is the first such agent with rigorous analysis and a complementary almost-matching lower bound.Finally, it is also light and well-scalable (as we analyze formally in Section 3), in the sense that it uses only polylogarithmic time per operation and returning a hot element while using only O(log3n/ϵ) local memory. |
| Researcher Affiliation | Academia | 1School of Computer and Cyber Sciences, Augusta University 2Wrocław University of Science and Technology |
| Pseudocode | Yes | Algorithm 1: Handling 2 1/γ consecutive operations.Algorithm 2: Extracting hot elements at step t.Procedure Process(op(x), C,γ, t) |
| Open Source Code | No | The paper does not provide any statement or link for open-source code for the methodology described. |
| Open Datasets | No | The paper describes a theoretical model of data streams and does not mention the use of any specific public or open dataset for training or evaluation. |
| Dataset Splits | No | The paper presents a theoretical algorithm and its analysis and does not discuss dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper describes a theoretical algorithm and its analysis and does not mention any specific hardware used for experiments. |
| Software Dependencies | No | The paper describes a theoretical algorithm and its analysis and does not provide specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes a theoretical algorithm and its analysis and does not include details about an experimental setup, hyperparameters, or training configurations. |