Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003073
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.077
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003206
distance 0.077
#2 · Bhandaracell 4710003163
distance 0.096
#3 · Bhandaracell 4710003302
distance 0.1
#4 · Bhandaracell 4710003213
distance 0.107
#5 · Nagpurcell 4840007838
distance 0.123 · cross-district
#6 · Bhandaracell 4710003164
distance 0.129
#7 · Bhandaracell 4710003337
distance 0.135
#8 · Bhandaracell 4710003254
distance 0.139
#9 · Bhandaracell 4710003246
distance 0.145
#10 · Bhandaracell 4710003249
distance 0.155
#11 · Bhandaracell 4710003116
distance 0.155
#12 · Nagpurcell 4840007774
distance 0.162 · cross-district
#13 · Nagpurcell 4840007836
distance 0.163 · cross-district
#14 · Nagpurcell 4840007776
distance 0.165 · cross-district
#15 · Bhandaracell 4710003165
distance 0.166
#16 · Bhandaracell 4710003072
distance 0.167
#17 · Bhandaracell 4710003303
distance 0.174
#18 · Nagpurcell 4840007553
distance 0.176 · 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":4710003073}}}'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.