Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730003021
The MH-36 locality cells most similar to this Chandrapur 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.065
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730002951
distance 0.065
#2 · Chandrapurcell 4730002950
distance 0.074
#3 · Chandrapurcell 4730004210
distance 0.083
#4 · Chandrapurcell 4730003283
distance 0.12
#5 · Chandrapurcell 4730003161
distance 0.129
#6 · Chandrapurcell 4730003090
distance 0.13
#7 · Chandrapurcell 4730004289
distance 0.134
#8 · Chandrapurcell 4730003505
distance 0.136
#9 · Chandrapurcell 4730003091
distance 0.136
#10 · Chandrapurcell 4730003160
distance 0.138
#11 · Chandrapurcell 4730003351
distance 0.139
#12 · Chandrapurcell 4730003499
distance 0.14
#13 · Chandrapurcell 4730004011
distance 0.143
#14 · Gadchirolicell 4750008032
distance 0.144 · cross-district
#15 · Chandrapurcell 4730004291
distance 0.146
#16 · Chandrapurcell 4730003432
distance 0.148
#17 · Gadchirolicell 4750007536
distance 0.148 · cross-district
#18 · Chandrapurcell 4730003022
distance 0.148
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":473,"cluster_id":4730003021}}}'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.