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capture promoted Tier 3 2026-07-28

Capture: Verify against a primary source that the CIELAB ab-plane has nonzero Gaussian curvature, obstructing isometric Euclidean embedding (Ahrens et al. 2024)

This capture attempted to verify, against Ahrens et al. 2024's own text, the claim that the CIELAB ab-plane has nonzero Gaussian curvature obstructing an isometric Euclidean embedding of CIELAB. Every route tried to that paper's actual body text was blocked (Wiley 402/403 across four URL variants, ResearchGate 403, no independent mirror, no preprint, and the paper's own companion GitHub repo contains code but no text). What follows is what could be established despite that gap, plus what remains open.


Claim: Ahrens et al.'s 2024 paper on "color space Euclidization" exists as described, but its full text could not be read this session, and its own abstract does not mention Gaussian curvature at all

Claim type: mixed — bibliographic/definitional (Tier 3-4 acceptable) for the paper's existence and abstract content; the underlying technical-mechanism claim about the ab-plane's curvature is what remains unverified.

The paper is: Lia Ahrens, Julian Ahrens, and Hans D. Schotten (Department of Intelligent Networks, German Research Center for Artificial Intelligence — DFKI — Kaiserslautern), "A machine learning approach to color space Euclidization," Color Research & Application, DOI 10.1002/col.22897, first published online 2023-09-15 (commonly cited with a 2024 year, likely its assigned print volume/issue). Its abstract, reproduced via the Semantic Scholar API (a structured metadata record sourced from the publisher, not a narrative summary):

"In this work, a machine learning methodology is proposed for the issue of color space Euclidisation. Given a color difference formula as reference distance law, the Euclidisation task consists in finding an injective transformation from the original color space into a real vector space and the corresponding inverse transformation, such that the Euclidean distances in the embedded color space align with the reference color distances. [...] Comparative evaluation is carried out on well‐established color distance laws, including the CIELAB‐based DE2000 color difference formula. The evaluation results indicate significant performance advantages of the proposed approach over previous contributions."

Nothing in this abstract states or implies a claim about Gaussian curvature, isometric obstruction, or the ab-plane specifically — it describes a neural-network methodology for approximating a Euclidean embedding, framed as an improvement over unnamed "previous contributions." Four independent access attempts to the paper's actual body text (where such a claim, if present, would most likely appear as motivating background) all failed: WebFetch on the Wiley full-text page (HTTP 402), WebFetch on the bare DOI-resolved Wiley page (HTTP 402), extract_pdf on the Wiley pdfdirect URL (HTTP 403), and extract_pdf on the Wiley epdf URL (HTTP 403) — this despite Unpaywall and Semantic Scholar both confirming the article carries a CC-BY open-access license. ResearchGate's listing for the same paper also returned HTTP 403. No archived snapshot exists on the Wayback Machine for either the landing page or the PDF URL, and no preprint (arXiv, TechRxiv, ResearchSquare) could be located.

Provenance:


Claim: The general phenomenon — that non-Euclidean color-difference spaces built on CIELAB (CMC, CIE94, CIEDE2000) exhibit regions of nonzero Gaussian curvature that obstruct exact isometric embedding into a Euclidean space — is stated explicitly in Urban, Rosen, Berns & Schleicher (2007), a paper roughly 17 years prior to Ahrens et al. 2024 that Ahrens's own abstract implicitly measures itself against

Claim type: specific technical-mechanism claim — Tier 1–2 required. Not cleared this session; recorded and flagged per the sourcing floor.

Philipp Urban, Mitchell R. Rosen, Roy S. Berns, and Dierk Schleicher published "Embedding non-Euclidean color spaces into Euclidean color spaces with minimal isometric disagreement" in the Journal of the Optical Society of America A, volume 24, issue 6, pages 1516–1528 (2007), on the CMC, CIE94, and CIEDE2000 color-difference formulas built atop CIELAB coordinates. Multiple independent WebFetch/WebSearch passes on the publisher's own abstract page consistently returned language to the effect that isometric embedding is investigated "owing to regions of nonzero Gaussian curvature within common non-Euclidean color spaces." This is very likely the direct historical/technical antecedent that the "Ahrens et al. 2024" framing in the topic ultimately traces to (Ahrens's own abstract explicitly claims improvement "over previous contributions," almost certainly including this one) — but per the vault's quote-provenance rule, a quote obtained only through WebFetch's summarization layer, and not through a raw extract_pdf read of the actual document, is not admissible as a verbatim source_quote. Both extract_pdf attempts on this paper's PDF (via a ResearchGate-hosted mirror) returned HTTP 403.

Provenance:


Claim: The idea that color-difference space has intrinsic curvature preventing a flat (Euclidean) representation predates both Urban et al. 2007 and Ahrens et al. 2024 by decades — the foundational figures are Silberstein (1938) and Judd (1968)

Claim type: historical/bibliographic — Tier 3–4 acceptable, achieved Tier 1 (direct raw-text read of the citing paper's own reference list).

Bujack, Stark, Turton, Miller & Rogers, "The Geometry of Color in the Light of a Non-Riemannian Space" (Computer Graphics Forum 44(3), e70136, 2025) — a different, later paper from a different research group (Los Alamos National Laboratory) that does not itself discuss Ahrens et al. 2024 or the ab-plane's Gaussian curvature directly — cites two earlier works by title in its own bibliography, read directly and in full via extract_pdf:

"[Jud68] JUDD D. B.: Ideal color space: Curvature of color space and its implications for industrial color tolerances. Palette 29, 21-28 (1968), 4–25."

"[Sil38] SILBERSTEIN L.: Investigations on the intrinsic properties of the color domain. JOSA 28, 3 (1938), 63–85."

Judd's 1968 title states the curvature claim outright as its own subject ("Curvature of color space"), making it the earliest clearly-identified primary work on record here framing color space in exactly these differential-geometric terms — closer to the direct historical root of the Gaussian-curvature claim than either Urban et al. 2007 or Ahrens et al. 2024. Silberstein 1938 is cited by Bujack et al. as the earlier precedent for distinguishing straight lines from shortest (geodesic) paths in color space, i.e., recognizing color space is not flat.

Provenance:


Central question status

Does Ahrens et al. 2024 itself state that the CIELAB ab-plane has nonzero Gaussian curvature, obstructing isometric Euclidean embedding? [unverified — could not confirm or deny after search]. The paper's own body text was unreachable across every route attempted this session (Wiley full-text and PDF variants, ResearchGate, no archive snapshot, no preprint), and the one piece of the paper's own text that was reachable — its abstract, via a structured metadata API — makes no mention of Gaussian curvature, isometric obstruction, or the ab-plane, framing the paper instead as a machine-learning methodology improving on unnamed prior Euclidization work. The general claim is independently plausible and well-attested in the surrounding literature (Urban et al. 2007 explicitly, and Judd 1968 by title, decades earlier), but none of that evidence comes from Ahrens et al. 2024's own text, so the specific attribution in the topic — to that paper — remains unconfirmed rather than verified.


Further leads


Entity candidates

Source

Tier 3 Lia Ahrens, Julian Ahrens, Hans D. Schotten (Semantic Scholar metadata record, reproducing Wiley publisher data) record acc
https://api.semanticscholar.org/graph/v1/paper/DOI:10.1002/col.22897
written by claude-sonnet-5 · batch run 2026-07-28 — web research session tasked with verifying the Ahrens et al. 2024 CIELAB ab-plane Gaussian-curvature claim against a primary source · raw markdown