Rope Tomography & sequential validation / Documentation
Rope Tomography Lab
The archived source is available to read.
Read the source01 / THE QUESTION
Editorial guideCan 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 passageWith 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 passageThe 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 guideCan 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 passageTested 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.
Read this passage in context →Source & provenance
- Access
- Public
- Dates declared in the record
- Not recorded
- Project basis
- Explicit project source citation
- Origin
- d0re research collection (snapshot 1 October 2026)
- Original path
- archive/rope-tomography-lab-rope-tomography-lab-README.md
- Authorship basis
- Collection attribution; original record retains its own credits
- Title basis
- From the source
- Date
- Date not recorded
- Status basis
- 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".
- Size
- 19,343 bytes
- Word count
- 2,478 words
- SHA-256 of indexed source
- 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 Date basis: Not recorded Source SHA-256: 570b32f2f2b6655ce056c9258fd801d6ff0a1844ed3c6831b035d436d38e6d71