Bhārata Strata · Maharashtra · Gadchiroli · morphological twins
Places like cell 4750010331
The MH-36 locality cells most similar to this Gadchiroli 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.101
lower = more alike (weighted)
The twins, closest first
#1 · Gadchirolicell 4750011047
distance 0.101
#2 · Gadchirolicell 4750010461
distance 0.146
#3 · Gadchirolicell 4750011110
distance 0.161
#4 · Gadchirolicell 4750009996
distance 0.169
#5 · Gadchirolicell 4750010084
distance 0.174
#6 · Gadchirolicell 4750011125
distance 0.178
#7 · Gadchirolicell 4750010595
distance 0.182
#8 · Gadchirolicell 4750012126
distance 0.182
#9 · Gadchirolicell 4750010666
distance 0.184
#10 · Gadchirolicell 4750010199
distance 0.184
#11 · Gadchirolicell 4750012048
distance 0.184
#12 · Gadchirolicell 4750009697
distance 0.185
#13 · Gadchirolicell 4750010765
distance 0.185
#14 · Gadchirolicell 4750010596
distance 0.187
#15 · Gadchirolicell 4750009757
distance 0.188
#16 · Chandrapurcell 4730006945
distance 0.191 · cross-district
#17 · Nagpurcell 4840003592
distance 0.192 · cross-district
#18 · Gadchirolicell 4750010831
distance 0.193
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":475,"cluster_id":4750010331}}}'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.