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Rope Tomography & sequential validation / Documentation

Rope Tomography Lab

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01 / THE QUESTION

Editorial guide

Can candidate models of the rope-and-attachments system be rejected with anytime-valid sequential evidence rules whose guarantees and failure boundaries are stated exactly?

02 / WHAT THE RECORD SAYS

Source passage

With a fixed 90%-persistence null, the written martingale proof gives a 1% anytime crossing bound. Fresh 400-look synthetic validation crossed on 39/5,000 declared-null histories, versus 4,134/5,000 for the old iid-sign rule whose conditional-balance assumption is false there.

03 / LIMITS & OPEN POINTS

Source passage

The engine is not valid for a same-data estimate, changing persistence, higher-order dependence, or merely marginal balance. It ignores magnitudes and is neither distribution-free nor a physical-mechanism identifier.

04 / THE NEXT QUESTION

Editorial guide

Can the declared sign and Gaussian evidence rules be applied to a calibrated physical rope or sensor system rather than synthetic histories?

05 / CHECKS IN THE RECORD

Source passage

Tested on Python 3.12.13, NumPy 2.3.5, and SciPy 1.17.0. Install the pinned environment, then run: On Linux/macOS, use python3 in place of py -3.12. Re-running the experiment overwrites results/. The recorded run used OPENBLAS_NUM_THREADS=1 and OMP_NUM_THREADS=1. Timings and floating-point rounding can vary across machines and numerical libraries.

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d0re research collection (snapshot 1 October 2026)
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archive/rope-tomography-lab-rope-tomography-lab-README.md
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r-570b32f2f2b6 is the latest rope-lab state, v0.14.0, with older releases kept as historical notes: "Version 0.14.0 / Theory 1.39 adds a standalone KT predictive-likelihood e-process".
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570b32f2f2b6655ce056c9258fd801d6ff0a1844ed3c6831b035d436d38e6d71

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Rope Tomography Lab
Date not recorded
d0re research record r-570b32f2f2b6
https://www.d0re.com/library/records/r-570b32f2f2b6.html
Authorship basis: Collection attribution; original record retains its own credits
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Source SHA-256: 570b32f2f2b6655ce056c9258fd801d6ff0a1844ed3c6831b035d436d38e6d71

Independent research by Anthony Michael Collado.
Original credits remain with each source.