Skip to content
#small language model Open access

Selberg–Residue Analysis of the Equally Spaced Richardson–Gaudin Pairing Model

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Non-Hermitian Physics

Abstract

Authorship and verification statement. The scientific problem, the original methodological direction, and the research objectives were formulated by W. V. Pogosov. The analytical derivations and numerical computations in this project were carried out by an advanced large language model (LLM), through an iterative interaction with the author. The author has not exhaustively checked all calculations and proofs. This is a working manuscript with explicit unresolved assumptions, supplied for inspection, reproduction, and further development. The manuscript develops a Selberg–residue approach to the equally spaced Richardson–Gaudin pairing model. Meromorphic contour periods are reduced to finite determinant expressions. Complementary kernels and sign-corrected minor expansions organize ground-state, marked, blocked, and nested-contour sectors. The text studies their thermodynamic asymptotics and candidate finite-size energy corrections while distinguishing exact period identities from physical eigenenergy interpretations. The method originated in W. V. Pogosov, “'Probabilistic' approach to Richardson equations,” Journal of Physics: Condensed Matter 24, 075701 (2012), doi:10.1088/0953-8984/24/7/075701 (https://doi.org/10.1088/0953-8984/24/7/075701), arXiv:1111.2907 (https://arxiv.org/abs/1111.2907). That work treated the ground state and obtained the required coupling dependence without a full direct evaluation of the determinant normalization. Within this line of work, it also first formulated explicitly the Hamiltonian origin of electron–hole symmetry in the exact Richardson analysis; its Appendix A acknowledges earlier observations of spectral duality. The subsequent paper, “Excited states in Richardson pairing model: 'probabilistic' approach,” Progress of Theoretical Physics 128, 1–14 (2012), doi:10.1143/PTP.128.1 (https://doi.org/10.1143/PTP.128.1), arXiv:1208.1088 (https://arxiv.org/abs/1208.1088), extended the approach to excited states, again leaving a common determinant normalization unevaluated directly. The author's 2014 doctoral dissertation, Superconductors and dilute superfluid Bose systems: From the microscopic to the macroscopic scale (in Russian), developed direct determinant evaluations by successive row differences and triangular reduction. See the Lebedev Physical Institute dissertation-council record (https://www.lebedev.ru/ru/fian-dissertation-councils/posts.html?id=188) and the complete thesis on ResearchGate (https://www.researchgate.net/publication/271840408_Sverhprovodniki_i_razrezennye_sverhtekucie_boze-sistemy_ot_mikro-_k_makrourovnu) (doi:10.13140/2.1.1066.5766 (https://doi.org/10.13140/2.1.1066.5766)). From the perspective of the broader program pursued here, these earlier results constituted a partial solution. The present project attempts to carry that program through; completion is not claimed. Version 1.0 incorporates a repair of the confluent lattice-minor argument, using a saddle-localized continuation and an exponentially small error controlled on integer indices. Important open inputs remain: contour selection, uniform Gaussian energy control, the proposed Hessian-to-spectral-shift identification, and finite-defect comparisons. The correspondence between the period endpoint and the physical real-root density is also conjectural. The deposit contains the full manuscript, LaTeX sources, bibliography, fifteen supporting scientific programs, fourteen labelled historical reports, and a current separately implemented lattice-check report. The latter records 96 small exact-arithmetic comparisons and 24 larger minor and derivative checks. Independence here concerns implementations within the LLM-assisted workflow, not independent human verification. The earlier program collection has not been rerun in full for this release, and finite tests do not prove the unresolved analytical assumptions.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

MIT News · Artificial Intelligence Sep 14, 2026

New method enables AI for safety-critical situations

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

GPT-Lab Sep 10, 2026

Responsible AI Must Consider Its Afterlife

AI may appear weightless, but every model depends on physical infrastructure. To understand responsible AI, we need to look beyond algorithms and consider the entire lifecycle of the hardware behind them. The post Responsible AI Must Consider Its Afterlife appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.