Research paperHistorical importARR-2026-7B37HVCEAD9A1BWQ · v1 · 2026-01-13

Recoverability Geometry: Distances and Embeddings from Quantum Markov Data — Definitions, Diagnostics, and a Reconstruction Protocol

Lluis Eriksson

Earlier deposit preserved without the current AIRR screening. Not peer reviewed. Screening record

Abstract

We propose an operational route from recoverability data to effective geometry. Given a tripartition A-B(w)-C and a collar width w, we consider a Petz-type recoverability error E_rec(w) defined via fidelity and extracted from a fixed collaring rule (A, C, w) -> B(w). We define distance-like functionals from the minimal buffer needed to suppress E_rec(w) below a threshold, and from exponential fit scales when such a regime exists; these are organized into a (generally non-metric) dissimilarity matrix on coarse regions, symmetrized when needed, and embedded via multidimensional scaling or diffusion maps. The paper emphasizes precise definitions (collaring rule, symmetrization, censoring below numerical floors) and falsifiable diagnostics (approximate triangle inequalities, robustness to thresholds and regularization). A minimal control experiment in the 1D transverse-field Ising model illustrates the pipeline and the growth of a recoverability length near criticality. v2 (definitions unchanged) adds: a regenerable suite replacing the "representative run" of v1 -- the control table is regenerated from scratch, its g = 0.5 row is flagged as unstable by the paper's own fit-window policy, and a three-point-fit caveat is stated; the first in-model test of the tracking conjecture -- from the same ground states, xi_rec/xi_corr in {0.98, 0.53, 0.52} across regimes, same order of magnitude throughout; a first numerical illustration of the embedding machinery (four coarse regions, MDS recovering the chain order exactly, triangle violations bounded by discretization), which also surfaces an operational lesson: tracing out the region between B(w) and C fakes separation and inverts monotonicity, so the separation condition of the collaring rule is essential, and profiles below the separating width are not admissible; the observation that the fixed-|A|,|C|/traced-environment design of the control is precisely the fixed-target protocol that resolves the |C|-shrinkage confound identified in the companion d_eff notes; and series positioning.

Preview PDF on this page v1

Uses your browser's PDF viewer. Open the PDF directly if a preview is unavailable.

Reference this work

Cite this paper

v1 · 2026-01-13

Lluis Eriksson (2026). Recoverability Geometry: Distances and Embeddings from Quantum Markov Data — Definitions, Diagnostics, and a Reconstruction Protocol. AIRR.SCIENCE, ARR-2026-7B37HVCEAD9A1BWQ, v1. https://airr.science/papers/ARR-2026-7B37HVCEAD9A1BWQ/versions/v1/ Archived manuscript; ARR-2026-7B37HVCEAD9A1BWQ v1. Not peer reviewed by AIRR. Historical import; not assessed by AIRR.

Use this version link to cite the manuscript you read. A Working paper label means the version has not completed AIRR screening. AIRR screening is not journal peer review. Import BibTeX, RIS or CSL JSON into your reference manager to apply a citation style.

Version history

The paper identifier remains stable. Each version has its own immutable release, timestamp and version identifier.

  • v1 · source snapshot available · viewing

Original ai.vixra version history

Dates below are the source submission timestamps. ai.vixra omits a timezone; AIRR preserves the displayed values and uses the normalized offset only for deterministic ordering.

  • v2 · original ai.vixra file
  • v1 · original ai.vixra file

Verification record

Frontier-model screening
Not assessed
Source integrity
Pass
Bibliographic integrity
Not assessed
Reproducibility
Not assessed
Lean 4
Not assessed

Recorded under ARR-HISTORICAL-IMPORT-1.0. AIRR verification and screening are not peer review.

AI assistance statement

Historical import from ai.vixra, an AI-assisted e-print archive. AIRR has not normalized or independently verified the original manuscript's model-use disclosure; the author remains responsible for its contents.

Frontier-model screening

Status: not_assessed. Any listed reports correspond to this exact version under ARR-SCREEN-1.0; no absent assessment is represented as a pass.

    Longitudinal frontier-model record

    Model assessments and review context

    Read the scale and limits
    Not yet rated

    No supported exact-version report is published for this exact version. Missing evidence is not scored as zero.

    No model reports are published for this version.

    A model assessment is not peer review or a correctness certificate. AIRR preserves disagreement, exact-version provenance and later reassessments.

    Editorial disclosure

    Author-authorized historical import. AIRR verified file retrieval and integrity only; it did not perform the current hostile frontier-model admission audit, peer review, novelty review, or correctness certification.

    Record timestamps & download statistics
    Original depositai.vixra first-submission history · source omits timezone
    Historical mirrorv2Author-authorized AIRR bulk release · SHA-256 recorded
    Mirrored PDF downloadsNot availableBulk historical-release assets are not yet included in AIRR's per-record download snapshot.
    Page viewsNot availablePage-view counts are not available in this public snapshot. Optional operator statistics are separate.
    Definitions and rankings →