Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001929
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
0.92
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 · Bhandaracell 4710001556
distance 0.101
#2 · Bhandaracell 4710001366
distance 0.134
#3 · Nagpurcell 4840005770
distance 0.143 · cross-district
#4 · Bhandaracell 4710002044
distance 0.144
#5 · Bhandaracell 4710001048
distance 0.162
#6 · Nagpurcell 4840006840
distance 0.165 · cross-district
#7 · Bhandaracell 4710003123
distance 0.19
#8 · Bhandaracell 4710001670
distance 0.191
#9 · Bhandaracell 4710002673
distance 0.193
#10 · Nagpurcell 4840003903
distance 0.195 · cross-district
#11 · Bhandaracell 4710001712
distance 0.197
#12 · Bhandaracell 4710002172
distance 0.197
#13 · Nagpurcell 4840005641
distance 0.2 · cross-district
#14 · Bhandaracell 4710002761
distance 0.202
#15 · Bhandaracell 4710002860
distance 0.205
#16 · Nagpurcell 4840006938
distance 0.206 · cross-district
#17 · Bhandaracell 4710001118
distance 0.207
#18 · Bhandaracell 4710000985
distance 0.209
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":4710001929}}}'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.