DRYAD-style matrix code lookup
DRYAD-style matrix code lookup using computationally reconstructed grids
In plain English: DRYAD-style matrix code lookup using computationally reconstructed grids — using military or Cold War era cipher systems (VIC, DRYAD, one-time pads, etc.). 15 thousand key/parameter combinations were tested.
This approach is ruled out within the tested scope.
NOISE
Tier 3
How to read this record
- Verdict – NOISE (no better than random guessing), INTERESTING (slightly above random, almost certainly coincidence), SIGNAL (statistically unusual, warrants investigation), or FULL MATCH (all 24 known letters correct).
- Confidence Tier – Tier 1 = mathematical proof (permanent). Tier 2 = every possibility tested. Tier 3 = partially tested. Tier 4 = not yet tested.
- Configs Tested – How many different key/parameter combinations were tried.
- Best Score – How many of the 24 known plaintext letters the best attempt matched (out of 24).
- Keystream Consistency (Bean) – Whether the key values at different positions are mathematically consistent with each other.
- Scope Limitations – What this elimination does not rule out.
- Configs Tested
- 15,000
- Best Score
- 3 / 24 known letters matched · no better than random guessing (random guess would score: 0.0)
- Keystream Consistency (Bean)
-
FAIL
Checks whether the key values at different positions are mathematically consistent with each other. - Confidence
- Tier 3: Partial or statistical. May warrant re-testing under different assumptions.
- Date Tested
- 2026-02-17
- Script
scripts/_uncategorized/e_s_145_dryad_matrix.py
Scope Limitations
This elimination does not rule out:
- Only tests computationally reconstructible DRYAD grids. Cannot test the actual Sanborn coding charts (sold at auction, content unknown).
Assumptions
- DRYAD grid derivable from public sculpture elements
- Standard DRYAD row/column structure
Reproduce
PYTHONPATH=src python3 -u scripts/_uncategorized/e_s_145_dryad_matrix.py
Requires the kryptos repo, Python 3.11+, PYTHONPATH=src.
Found an error? Report on GitHub