Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710002182
The MH-36 locality cells most similar to this Bhandara 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.065
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710002282
distance 0.065
#2 · Bhandaracell 4710002286
distance 0.12
#3 · Bhandaracell 4710002474
distance 0.128
#4 · Nagpurcell 4840006266
distance 0.131 · cross-district
#5 · Bhandaracell 4710002898
distance 0.138
#6 · Bhandaracell 4710002337
distance 0.143
#7 · Nagpurcell 4840002380
distance 0.152 · cross-district
#8 · Nagpurcell 4840002201
distance 0.159 · cross-district
#9 · Bhandaracell 4710002284
distance 0.166
#10 · Bhandaracell 4710002334
distance 0.166
#11 · Bhandaracell 4710001910
distance 0.167
#12 · Bhandaracell 4710001634
distance 0.168
#13 · Bhandaracell 4710002511
distance 0.17
#14 · Nagpurcell 4840001818
distance 0.171 · cross-district
#15 · Bhandaracell 4710001462
distance 0.171
#16 · Bhandaracell 4710002612
distance 0.172
#17 · Gondiacell 4760003196
distance 0.172 · cross-district
#18 · Bhandaracell 4710002333
distance 0.178
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":471,"cluster_id":4710002182}}}'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.