Papers for

network reliability analysts

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

One loss reveals exact solutions for certain signed rank one problems

One Loss Resolves Signed Rank-One Gradient Fibers: Exact Decoding on Cycle and Theta Blocks

Abstract: For masked rank-one least squares with unrestricted signs, gradients reveal weighted margins and the loss reveals the target's squared norm. We prove that this one scalar resolves the gradient ambiguity on bipartite cycle and length-three parallel-path blocks: every target fixed before sampling and nonzero on cycle edges is identified almost surely by one legal positive query drawn from an absolutely continuous law. On six-cycle flowers, open target and query sets retain $3^r$ bounded gradient candidates. A common algebraic witness excludes cross-block energy cancellation. Cactus masks admit explicit exception certificates and target-uniform finite-grid bounds; theta blocks admit an existence guarantee. For nondegenerate cactus reductions, an exact decoder returns complete actual real lists, with bit cost polynomial in input length, the cycle-degree product $D$ and the optional budget parameter $2^κ$. Energy-coordinate propagation certifies singletons without a product join. The product $D$ can grow exponentially in cycle count. Exponential certificate-degree and output bounds, and weak NP-hardness at a fixed uniform query, characterize distinct costs of exact decoding.

Mon 26 OctSymbolic Computation
The gist
Sometimes, when trying to figure out a hidden signal from limited clues, there can be multiple possible answers. This paper shows that for particular structured problems, just one well-chosen measurement can uniquely reveal the exact signal, even if the signs of components are unknown. The researchers prove this mathematically for certain patterns called cycles and theta blocks, and provide methods to decode the signal exactly under some conditions. They also explain the complexity behind decoding and when it becomes difficult.
Open → 2610.35531v1

New insights clarify decoding error limits above communication capacity

On the Tightness of Omura's Strong Converse Exponent and Critical Rates Above Capacity

Abstract: Omura's lower bound on the probability of correct decoding at rates above capacity has an exponent of sphere packing form. Dueck and Körner refined Omura's argument through a codebook extension step and obtained the exact strong converse exponent. It has been claimed in the literature that the two exponents coincide at all rates, but the argument contains an error. To settle this question, we first show that above a threshold rate, the strong converse exponent follows a straight line of unit slope determined by the Rényi capacity of order infinity. This threshold rate plays the role of a critical rate above capacity, while the order-infinity capacity plays that of a cutoff rate. We then show that the two exponents coincide up to a second threshold rate, which lies above the first, and differ strictly beyond it. Examples include modulo-additive channels, where there is no gap; and the binary erasure channel, where the thresholds and the gap are computed in closed form.

Mon 5 OctInformation Theory
The gist
When sending messages over a noisy channel, there’s a limit to how fast information can be sent reliably. The authors studied mathematical bounds that describe how quickly the chance of correct decoding drops when exceeding this limit. They clarified when two key formulas match and where they differ, showing that above certain rates, the behavior shifts in a predictable way. This helps understand the fundamental limits of communication systems better.
Open → 2610.05791v1