Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730003576
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
45
morphology-v2 feature dimensions
Closest twin distance
0.096
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730003740
distance 0.096
#2 · Chandrapurcell 4730004195
distance 0.119
#3 · Chandrapurcell 4730003838
distance 0.139
#4 · Chandrapurcell 4730004387
distance 0.144
#5 · Chandrapurcell 4730004187
distance 0.148
#6 · Chandrapurcell 4730004376
distance 0.149
#7 · Chandrapurcell 4730008576
distance 0.15
#8 · Chandrapurcell 4730004105
distance 0.152
#9 · Chandrapurcell 4730004008
distance 0.155
#10 · Chandrapurcell 4730003830
distance 0.157
#11 · Gadchirolicell 4750010898
distance 0.16 · cross-district
#12 · Gadchirolicell 4750007888
distance 0.16 · cross-district
#13 · Chandrapurcell 4730004199
distance 0.161
#14 · Chandrapurcell 4730007347
distance 0.165
#15 · Chandrapurcell 4730004207
distance 0.165
#16 · Chandrapurcell 4730003288
distance 0.168
#17 · Chandrapurcell 4730003919
distance 0.172
#18 · Chandrapurcell 4730007575
distance 0.173
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":4730003576}}}'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.