Skip to content
#small language model Open access

Locality and Symmetry as Primary Coordinates: Finer Structure Behind Scalar Labels in Recent Many-Body Results

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems

Abstract

Version 3 (2026-09-26). Version 3 corrects version 2 and narrows its thesis and title, following an independent audit and a second review of the corrected draft. (1) Version 2 relied in part on arXiv:2605.30238 (Surace, Minagawa and Kunjwal) for a reversal of the real-complex hierarchy under indefinite causal order. On 2026-06-05 its authors posted that the claimed separation between real and complex quantum theory "is therefore not established" and that they are revising the affected claims. The "even reality" strand built on it has been removed, and a notice is included. (2) The locality-dimension claim was inverted. Lu, Fu and Liu (arXiv:2605.31441) define the dimension intrinsically from the code, independent of background geometry, so it is not an externally imposed metric, and the text now says so. (3) A statement that one state can carry volume-law entanglement and be prepared by a constant-depth circuit was wrong and has been replaced (arXiv:2605.31448). A garbled description of pseudoentanglement has been rewritten. (4) The local SW-SSB diagnostic of arXiv:2605.28967 is detected, with poly(N) resources, up to a volume scale of O(log N). Version 2 wrongly said it needs only O(log N) resources. (5) Smaller overstatements have been corrected: the frustration-graph wording, "independent confirmation", a claim about universality classes that is not in the source, the ECF condition, the relation between entropies in arXiv:2605.30798, and a "fault-tolerant" qualifier. With these corrections, version 2's thesis that dimensionality, universality and "even reality" are conditional on a choice of locality metric no longer holds. Version 3 states a narrower thesis: several scalar labels of many-body physics are refined by finer locality structure and symmetry resolution. The title changes accordingly, from "Locality and Symmetry as Primary Coordinates: A Structural Reorganization of Quantum Many-Body Hilbert Space" to "Locality and Symmetry as Primary Coordinates: Finer Structure Behind Scalar Labels in Recent Many-Body Results". The file has a neutral name, and the full list of corrections is at the top of the PDF. Version 2 was revised in response to an external structural review and an automated critique pass; its change log is kept as the "Response to Review" appendix in the PDF. A recurring pattern in the recent quant-ph, math-ph, math.QA, and cond-mat.stat-mech preprints, read over a thirty-day window ending 2026-06-02, suggests that several quantities long treated as primary scalar coordinates of many-body Hilbert space are coarse summaries of finer structure. Entanglement magnitude, the existence of a free-fermion language, the classification of quantum phase transitions, the dimension that bounds a quantum code, and eigenstate entropy each appear, in independent recent work, to refine into finer distinctions once one asks two prior questions: what is the locality structure? and which symmetry resolves the count? We collect six specific findings: Gheorghiu's constant-depth pseudoentanglement separation arXiv:2605.31448v1, Lu, Fu and Liu's intrinsic-locality dimension for stabilizer codes arXiv:2605.31441v1, Jindal and Hosur's non-Abelian-ETH entropy correction arXiv:2605.30798v1, Fukai, Pozsgay and Vona's path-product expansion for hidden free fermions arXiv:2605.31453v1, Sinha and collaborators' hidden Ising structure from a generalized Yang-Baxter equation arXiv:2605.30007v1, and Balducci and collaborators' traversable-versus-nontraversable quantum phase transitions arXiv:2605.31472v1. We also use Divi, Lessa and Wang's local strong-to-weak SSB diagnostic arXiv:2605.28967v1 as an internal cross-check. (Version 2 also used a result on the real-complex hierarchy under indefinite causal order that its authors now state is not established; see the Version 3 note.) The thesis we synthesize is a heuristic reading, not a derivation from a shared formal structure: several scalar labels of a quantum many-body system (a code's dimension, the entanglement entropy across a cut, eigenstate entropy, free-fermion solvability, the type of a phase transition) are refined by finer structural data, namely a locality structure (an intrinsic dimension, a frustration graph, a shallow-circuit geometry, a local diagnostic) and a symmetry resolution, and the scalar alone does not determine the structural conclusion. The six results sit in different formalisms; the pattern we identify across them is interpretive. The falsification path: each refinement we cite is operationally testable (a constructed example, a closed-form bound, or a finite-data diagnostic), and the thesis fails if the underlying mechanisms are retracted, or if a counter-example emerges in which the finer locality or symmetry data do not change the structural conclusion. The contribution here is the synthesis, not the underlying results. Authorship: Saluca Agentic AI Research Team (Saluca LLC). AI-drafted synthesis from an arXiv preprint corpus, originally drafted 2026-06-02, produced under the direction of Cristian Ruvalcaba, the accountable human author. Not peer-reviewed. Cited arXiv preprints: arXiv:2605.28967v1, arXiv:2605.30007v1, arXiv:2605.30798v1, arXiv:2605.31441v1, arXiv:2605.31448v1, arXiv:2605.31453v1, arXiv:2605.31472v1, arXiv:2605.30238v1 (cited in version 2 only; its authors now state the result used is not established, and it is removed in version 3) AI disclosure. This work was produced with an agentic AI research apparatus operated by Saluca Labs. The apparatus drafted, searched and analysed under direction. Cristian Ruvalcaba is the human author and is accountable for the content. No AI system is listed as an author or contributor, because authorship entails accountability that a model cannot hold; this disclosure is the credit, and it is deliberately the whole of it.

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 an...

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

Related blog posts

MIT News · Artificial Intelligence Sep 30, 2026

This game-playing AI is the new champ at Stratego

Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.

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