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Electronic Colloquium on Computational Complexity

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TR26-011 | 15th January 2026
Divesh Aggarwal, Zihan Li, Saswata Mukherjee, Maciej Obremski, João Ribeiro

Complete Characterization of Randomness Extraction from DAG-Correlated Sources

We introduce the SHEDAG (Somewhere Honest Entropic sources over Directed Acyclic Graphs) source model, a general model for multi-block randomness sources with causal correlations.
A SHEDAG source is defined over a directed acyclic graph (DAG) $G$ whose nodes output $n$-bit blocks. Blocks output by honest nodes are independent (by ... more >>>


TR26-010 | 1st February 2026
Sourav Chakraborty, Anna Gal

Nearly Tight Bounds on the Block Number of Boolean Functions in Terms of Sensitivity

This paper explores the previously studied measure called block number of Boolean functions, that counts the maximum possible number of minimal sensitive blocks for any input. We present close to tight upper bounds on the block number in terms of the function’s sensitivity and the allowed block size, improving previous ... more >>>


TR26-009 | 27th January 2026
Clement Canonne

A short note on (distribution) testing lower bounds via polynomials

In this short expository note, we provide an introduction to a distribution testing (and, more generally, indistinguishability) lower bound method based on moment-matching via polynomials. This method, which underlies several of the tight lower bounds on estimating symmetric properties, had for many years appeared mysterious and near-magical to the ... more >>>



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