Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000835
The MH-36 locality cells most similar to this Dhule cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.064
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000834
distance 0.064
#2 · Dhulecell 4740000579
distance 0.095
#3 · Dhulecell 4740000848
distance 0.1
#4 · Dhulecell 4740000840
distance 0.101
#5 · Nashikcell 4870013306
distance 0.102 · cross-district
#6 · Dhulecell 4740000735
distance 0.102
#7 · Nashikcell 4870013246
distance 0.113 · cross-district
#8 · Nashikcell 4870013307
distance 0.116 · cross-district
#9 · Dhulecell 4740000647
distance 0.116
#10 · Dhulecell 4740000658
distance 0.121
#11 · Dhulecell 4740000731
distance 0.126
#12 · Dhulecell 4740000841
distance 0.133
#13 · Dhulecell 4740000580
distance 0.135
#14 · Dhulecell 4740000653
distance 0.139
#15 · Nashikcell 4870013029
distance 0.139 · cross-district
#16 · Nashikcell 4870013177
distance 0.142 · cross-district
#17 · Nashikcell 4870013359
distance 0.144 · cross-district
#18 · Nashikcell 4870012512
distance 0.145 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":474,"cluster_id":4740000835}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.