Newest papers

Exact Compilation and Resource Laws for Hidden Integer Feedback

Ganxuan Yang, Siqi Wen, Shuyan Yu, Jidong Yuan · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.26442 · cited by 0 works (OpenAlex) · open-access PDF

Portuguese

Os pares de arredondamento aleatório ocultos causam a perda de privacidade de libertações inteiras sucessivas. Nós estudamos um mecanismo de feedback racional sob participação de unidade assinada previsível e observação completa de cada saída física. O tempo de feedback de uma preparação conecta três resultados. Primeiro, preservar a perda completa até que um eco observado sincronize os mundos dá uma compilação precisa de ponto de lei finito, com um exponente de largura de suporte de $3C-2$ em cada orçamento fixo de $C\ge2$. Em segundo lugar, os compromissos de liberação anteriores dão uma hierarquia monótona cujo ponto final exato, lacunas rigorosas e brackets numéricos quantificam a perda de calibração. Em um erro discreto fixo de Gaussia, uma

Machine translation (Meta M2M100); the English original follows.

Abstract

Hidden randomized rounding couples the privacy loss of successive integer releases. We study a rational-feedback mechanism under predictable signed-unit participation and full observation of every physical output. A preparation's lifetime connects three results. First, preserving complete carries until an observed echo synchronizes the worlds gives exact finite-law point compilation, with support-width exponent $3C-2$ at every fixed budget $C\ge2$. Second, releasing commitments earlier gives a monotone hierarchy whose exact endpoint, strict gaps and numerical brackets quantify calibration loss. At one fixed discrete Gaussian, a loss allowance of 0.09 requires all four commitments. Third, legal regeneration yields an unrestricted KL rate with a square-root testing remainder and a complete asymptotic frontier under joint physical-time and participation constraints. At fixed rational parameters, finite-window occupation programs approximate that frontier to error $2^{-b}$ in polynomial bit time in $b$. Verified countable-transcript semantics and independently checked finite certificates support these analyses. A matched static workload illustrates the resulting design tradeoff: a structured finite integer matrix improves error and fresh randomness, while the scalar feedback instance retains fewer noise-state and source-table bits.

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

Topics: Integer (computer science), Mathematics, Rounding, Fixed point, Equivalence (formal languages), Polynomial

Is this paper real? This page was built from OpenAlex and arXiv records, not generated. Software can verify any reference in one call: GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.26442, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange