 This is a short video of our paper Rotational Differential Linear Distinctures of ArcCypher with arbitrary output linear marks. I am Zhong Feng. This is joint work with Sui Sun, Yu Wen Liu and Chao Li. Differential and linear cooper analysis are the most general method to analyze block cypher. There are some combined varieties including boron differential linear and rotational differential linear. And the differential linear can be considered as special cases of rotational differential linear. In this talk, we will focus on rotational differential linear. For vectorial boolean function, given the rotational input difference delta output mass gamma, we can build a rotational differential linear distinction by a linear approximation of rotational output difference. And the problem is how to estimate the correlation. Often, we divide the cypher in two parts, and the correlation of rotational differential linear distinction is attempted as 4 times p times epsilon times epsilon prime. But the ball method may not be accurate. For differential linear cooper analysis, the differential linear connective t-ball was proposed to accurately compute the correlation of differential linear distinction. In the future, at Corrupto-2021, another method was proposed to compute the correlation of differential linear distinction from algebraic points. But the ball-2 method is only applicable for the spin cyphers, not for the axe cyphers. And for rotational differential linear cooper analysis, more Veski's technique is adopted to compute the correlation of rotational differential linear distinguishes. However, the main problem is that it is only applicable for the output mass with hand width 1. About motivation, first, for the axe cypher, differential linear cooper analysis is one of the most powerful methods. Compute the correlation of differential linear distinction for axe cypher is attractive. Second, modular addition is a core component for axe cypher. Some properties must be clarified, such as the correlation of differential linear or rotational differential linear. However, for modular addition, there is no phenomenal time algorithm to compute the correlation of differential linear or rotational differential linear. And in practice, the modular addition often operates on large words, unlike S-books. The way of immune-during the input pair is inflexible. In this paper, we will solve the following two problems. For the first problem, we propose the partition scheme of the overall input space. Based on it for modular addition, we give a formula that can compute the exact correlation of arbitrary differential linear distinguishes and rotational differential linear distinguishes in phenomenal time. For the second problem, we completely generalize the Movisky's technique and give the new method to estimate the correlation of arbitrary differential linear distinguishes and rotational differential linear distinguishes for axe cypher. Then, we apply it on round-reduced assets sit-hush, cha-cha, and spec, and it works very well. We get a series of practical distinguishes and we summarize it on the table.