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We propose a new representation of the offsets of the Lempel-Ziv (LZ)factorization based on the co-lexicographic order of the processed prefixes.The selected offsets tend to approach the k-th order empirical entropy. Ourevaluations show that this choice of offsets is superior to the rightmost LZparsing and the bit-optimal LZ parsing on datasets with small high-orderentropy.

HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances