Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001086
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.157
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011705
distance 0.157 · cross-district
#2 · Dhulecell 4740001191
distance 0.167
#3 · Dhulecell 4740002829
distance 0.185
#4 · Jalgaoncell 4780001254
distance 0.186 · cross-district
#5 · Jalgaoncell 4780004344
distance 0.186 · cross-district
#6 · Nashikcell 4870012055
distance 0.188 · cross-district
#7 · Dhulecell 4740002546
distance 0.199
#8 · Ahmednagarcell 4660013854
distance 0.203 · cross-district
#9 · Dhulecell 4740000026
distance 0.203
#10 · Dhulecell 4740003705
distance 0.205
#11 · Dhulecell 4740000353
distance 0.21
#12 · Jalgaoncell 4780001182
distance 0.211 · cross-district
#13 · Dhulecell 4740001500
distance 0.217
#14 · Dhulecell 4740002121
distance 0.218
#15 · Dhulecell 4740003008
distance 0.219
#16 · Dhulecell 4740003187
distance 0.22
#17 · Dhulecell 4740000201
distance 0.221
#18 · Nashikcell 4870004004
distance 0.222 · 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":4740001086}}}'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.