Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980002247
The MH-36 locality cells most similar to this Wardha 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 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.18
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000009024
distance 0.18 · cross-district
#2 · Wardhacell 4980002952
distance 0.181
#3 · Wardhacell 4980003013
distance 0.182
#4 · Wardhacell 4980003172
distance 0.183
#5 · Wardhacell 4980003014
distance 0.184
#6 · Yavatmalcell 5000009132
distance 0.192 · cross-district
#7 · Yavatmalcell 5000009131
distance 0.192 · cross-district
#8 · Nandedcell 4850009025
distance 0.205 · cross-district
#9 · Wardhacell 4980002351
distance 0.209
#10 · Yavatmalcell 5000010583
distance 0.216 · cross-district
#11 · Wardhacell 4980000650
distance 0.219
#12 · Yavatmalcell 5000010411
distance 0.221 · cross-district
#13 · Wardhacell 4980002954
distance 0.221
#14 · Wardhacell 4980002948
distance 0.221
#15 · Wardhacell 4980003109
distance 0.221
#16 · Wardhacell 4980003012
distance 0.222
#17 · Wardhacell 4980002346
distance 0.223
#18 · Wardhacell 4980000930
distance 0.223
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":498,"cluster_id":4980002247}}}'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.