Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001767
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
0.151
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980001768
distance 0.151
#2 · Wardhacell 4980002204
distance 0.154
#3 · Nagpurcell 4840000612
distance 0.155 · cross-district
#4 · Wardhacell 4980001950
distance 0.157
#5 · Wardhacell 4980002203
distance 0.157
#6 · Wardhacell 4980001856
distance 0.162
#7 · Wardhacell 4980001675
distance 0.169
#8 · Wardhacell 4980001486
distance 0.169
#9 · Wardhacell 4980000828
distance 0.169
#10 · Nagpurcell 4840000394
distance 0.171 · cross-district
#11 · Wardhacell 4980002298
distance 0.174
#12 · Bhandaracell 4710000259
distance 0.177 · cross-district
#13 · Nagpurcell 4840000926
distance 0.181 · cross-district
#14 · Nagpurcell 4840000346
distance 0.184 · cross-district
#15 · Wardhacell 4980001851
distance 0.186
#16 · Wardhacell 4980002035
distance 0.187
#17 · Nagpurcell 4840001224
distance 0.187 · cross-district
#18 · Wardhacell 4980001663
distance 0.187
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":4980001767}}}'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.