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PreprintCC BY 4.0Zenodo

A Reproducibility Benchmark for a CSL Force-Noise Calculator: Two Reproductions, One Unresolved Discrepancy

Abstract

A source-bound benchmark is presented for a white, mass-proportional Continuous Spontaneous Localization (CSL) force-noise calculator. The calculation is compared with fixed numerical points from a levitated-sphere study, a nanocantilever study and a LISA Pathfinder analysis. After explicit spectral-convention reconciliation, the sphere comparison reproduces its five assigned source points with a maximum relative deviation of 8.66%. A rigid-cuboid-plus-sphere cantilever approximation reproduces five points from the published contour with a maximum deviation of 11.28%. Both satisfy the fixed 30% point criterion. The LISA calculation clears the smaller assigned points but fails at r_C = 0.1 m: computed/source is 2.03507. The supplied digitized trace also shows disagreement across approximately 0.03–0.30 m, with ratios 1.95–2.77; its onset remains unlocated. The completed labelled-tick calibration leaves a 30.31-pixel discrepancy against the fixed ±5 allowance. A portable kit regenerates the results, including this retained failure. These checks test implementation and source reproduction, not CSL’s physical validity, a new exclusion region or apparatus feasibility.

This first public release (v0.1) derives from adopted R4. The record includes the manuscript PDF and DOCX and a portable code/data kit. Original code is MIT licensed; original manuscript, narrative documentation and newly drawn figures are CC BY 4.0. Third-party source/dependency rights remain with their holders; see LICENSES.md in the kit.

Generative AI assisted planning, implementation, source checking and drafting. Same-session and related-family reviews do not establish independent validation. QianJun Yu is responsible for the release. The LISA failure is intentionally retained.

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BibTeX
@misc{yu2026reproducibility,
  title = {{A Reproducibility Benchmark for a CSL Force-Noise Calculator: Two Reproductions, One Unresolved Discrepancy}},
  author = {QianJun Yu},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23606306},
  url = {https://zenodo.org/records/23606306},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - A Reproducibility Benchmark for a CSL Force-Noise Calculator: Two Reproductions, One Unresolved Discrepancy
AU  - QianJun Yu
PY  - 2026
DA  - 2026/10/23
PB  - Zenodo
DO  - 10.5281/zenodo.23606306
UR  - https://zenodo.org/records/23606306
AB  - A source-bound benchmark is presented for a white, mass-proportional Continuous Spontaneous Localization (CSL) force-noise calculator. The calculation is compared with fixed numerical points from a levitated-sphere study, a nanocantilever study and a LISA Pathfinder analysis. After explicit spectral-convention reconciliation, the sphere comparison reproduces its five assigned source points with a maximum relative deviation of 8.66%. A rigid-cuboid-plus-sphere cantilever approximation reproduces five points from the published contour with a maximum deviation of 11.28%. Both satisfy the fixed 30% point criterion. The LISA calculation clears the smaller assigned points but fails at r_C = 0.1 m: computed/source is 2.03507. The supplied digitized trace also shows disagreement across approximately 0.03–0.30 m, with ratios 1.95–2.77; its onset remains unlocated. The completed labelled-tick calibration leaves a 30.31-pixel discrepancy against the fixed ±5 allowance. A portable kit regenerates the results, including this retained failure. These checks test implementation and source reproduction, not CSL’s physical validity, a new exclusion region or apparatus feasibility.  This first public release (v0.1) derives from adopted R4. The record includes the manuscript PDF and DOCX and a portable code/data kit. Original code is MIT licensed; original manuscript, narrative documentation and newly drawn figures are CC BY 4.0. Third-party source/dependency rights remain with their holders; see LICENSES.md in the kit.  Generative AI assisted planning, implementation, source checking and drafting. Same-session and related-family reviews do not establish independent validation. QianJun Yu is responsible for the release. The LISA failure is intentionally retained.
ER  -