Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001910
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
0.146
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710002337
distance 0.146
#2 · Bhandaracell 4710001351
distance 0.147
#3 · Gondiacell 4760003196
distance 0.155 · cross-district
#4 · Bhandaracell 4710002286
distance 0.158
#5 · Nagpurcell 4840004310
distance 0.158 · cross-district
#6 · Bhandaracell 4710001538
distance 0.159
#7 · Nagpurcell 4840006265
distance 0.165 · cross-district
#8 · Bhandaracell 4710002182
distance 0.167
#9 · Bhandaracell 4710001537
distance 0.168
#10 · Bhandaracell 4710001735
distance 0.169
#11 · Bhandaracell 4710001659
distance 0.17
#12 · Bhandaracell 4710002511
distance 0.17
#13 · Gondiacell 4760000740
distance 0.172 · cross-district
#14 · Bhandaracell 4710001913
distance 0.173
#15 · Bhandaracell 4710001854
distance 0.175
#16 · Bhandaracell 4710001802
distance 0.177
#17 · Bhandaracell 4710002612
distance 0.178
#18 · Nagpurcell 4840004309
distance 0.181 · cross-district
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":4710001910}}}'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.