Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730007233
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
0.106
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730005144
distance 0.106
#2 · Chandrapurcell 4730005537
distance 0.114
#3 · Chandrapurcell 4730004770
distance 0.129
#4 · Chandrapurcell 4730007119
distance 0.14
#5 · Chandrapurcell 4730005243
distance 0.142
#6 · Chandrapurcell 4730003220
distance 0.147
#7 · Chandrapurcell 4730008029
distance 0.16
#8 · Chandrapurcell 4730005435
distance 0.16
#9 · Chandrapurcell 4730005540
distance 0.168
#10 · Chandrapurcell 4730009312
distance 0.169
#11 · Chandrapurcell 4730009141
distance 0.171
#12 · Gadchirolicell 4750010393
distance 0.184 · cross-district
#13 · Chandrapurcell 4730008390
distance 0.186
#14 · Chandrapurcell 4730001291
distance 0.186
#15 · Chandrapurcell 4730005642
distance 0.186
#16 · Chandrapurcell 4730008852
distance 0.187
#17 · Gadchirolicell 4750010913
distance 0.188 · cross-district
#18 · Chandrapurcell 4730006088
distance 0.189
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":4730007233}}}'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.