The two baselines Hexels benchmarks itself against — 2D Gaussian Splatting and Triangle Splatting — are both independently peer-reviewed, a materially stronger evidentiary status than Hexels' own still-unrefereed preprint

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Hexels' (Kaushik, Paul & Yuille, arXiv:2610.37668) headline comparisons are against 2D Gaussian Splatting (2DGS) (Huang, Yu, Chen, Geiger & Gao) and Triangle Splatting (Held, Vandeghen, Deliège et al.). Both baselines have themselves cleared independent peer review, unlike Hexels. 2DGS's own arXiv page lists a "Related DOI" resolving to 10.1145/3641519.3657428 — an ACM DOI prefix, matching its publication as part of ACM Transactions on Graphics / SIGGRAPH 2024. Triangle Splatting's acceptance is confirmed directly by Oxford University's research-archive bibliographic record, which states its publication and peer-review status explicitly ("Publication status:Published" / "Peer review status:Peer reviewed" — two adjacent record fields, printed run-together in the archived text extraction) and gives full IEEE 3DV 2026 proceedings details (DOI 10.1109/3dv69130.2026.00123, acceptance date 2025-11-05).

This matters for weighing Hexels' own numbers, not for weighing the baselines': the gains Hexels reports over 2DGS and Triangle Splatting are measured against figures that themselves passed an external review process, while Hexels' own figures for beating them have passed no review beyond the authors' own, two days post-submission (see claim-hexels-no-independent-corroboration-found-as-of-2026-10-29). The asymmetry is evidentiary status, not a claim that either baseline's numbers are therefore correct — 2DGS's and Triangle Splatting's own figures are themselves self-reported by their respective author teams, peer review being a check on method and framing, not a re-run of the experiments.

This note's two sources — 2DGS's own arXiv/DOI record and Triangle Splatting's Oxford bibliographic record — are independent of each other and of Hexels; it does not draw on the Hexels preprint itself for its evidence, so it does not count against that preprint's single-source concentration cap (sources.md).