Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003418
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
44
morphology-v2 feature dimensions
Closest twin distance
0.085
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003223
distance 0.085
#2 · Bhandaracell 4710003197
distance 0.111
#3 · Bhandaracell 4710003241
distance 0.149
#4 · Bhandaracell 4710003179
distance 0.179
#5 · Gondiacell 4760003775
distance 0.181 · cross-district
#6 · Bhandaracell 4710003600
distance 0.181
#7 · Bhandaracell 4710003461
distance 0.182
#8 · Bhandaracell 4710003196
distance 0.186
#9 · Gondiacell 4760003871
distance 0.187 · cross-district
#10 · Bhandaracell 4710003135
distance 0.19
#11 · Bhandaracell 4710003459
distance 0.19
#12 · Gondiacell 4760003193
distance 0.192 · cross-district
#13 · Bhandaracell 4710003604
distance 0.193
#14 · Bhandaracell 4710002489
distance 0.193
#15 · Bhandaracell 4710002349
distance 0.194
#16 · Bhandaracell 4710002966
distance 0.197
#17 · Gondiacell 4760003616
distance 0.198 · cross-district
#18 · Gondiacell 4760003614
distance 0.201 · 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":4710003418}}}'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.