Bhārata Strata · Maharashtra · Gadchiroli · morphological twins
Places like cell 4750007828
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.155
lower = more alike (weighted)
The twins, closest first
#1 · Gadchirolicell 4750010980
distance 0.155
#2 · Gadchirolicell 4750008230
distance 0.163
#3 · Gadchirolicell 4750007610
distance 0.165
#4 · Gadchirolicell 4750007278
distance 0.173
#5 · Gadchirolicell 4750008928
distance 0.174
#6 · Gadchirolicell 4750006761
distance 0.177
#7 · Gadchirolicell 4750007974
distance 0.178
#8 · Gadchirolicell 4750009794
distance 0.19
#9 · Gadchirolicell 4750007424
distance 0.191
#10 · Gadchirolicell 4750006766
distance 0.195
#11 · Gadchirolicell 4750011048
distance 0.197
#12 · Gadchirolicell 4750007063
distance 0.198
#13 · Gadchirolicell 4750010382
distance 0.198
#14 · Nagpurcell 4840000810
distance 0.201 · cross-district
#15 · Gadchirolicell 4750009504
distance 0.201
#16 · Chandrapurcell 4730003587
distance 0.202 · cross-district
#17 · Gadchirolicell 4750010322
distance 0.203
#18 · Gadchirolicell 4750009449
distance 0.204
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":4750007828}}}'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.