Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001036
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
0.246
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001508
distance 0.246
#2 · Nagpurcell 4840006279
distance 0.273 · cross-district
#3 · Bhandaracell 4710002003
distance 0.276
#4 · Bhandaracell 4710001331
distance 0.279
#5 · Nagpurcell 4840005218
distance 0.28 · cross-district
#6 · Gondiacell 4760001632
distance 0.291 · cross-district
#7 · Bhandaracell 4710000865
distance 0.298
#8 · Bhandaracell 4710002006
distance 0.302
#9 · Bhandaracell 4710002180
distance 0.305
#10 · Bhandaracell 4710003252
distance 0.306
#11 · Bhandaracell 4710000887
distance 0.306
#12 · Nagpurcell 4840006937
distance 0.308 · cross-district
#13 · Bhandaracell 4710002785
distance 0.31
#14 · Bhandaracell 4710001559
distance 0.313
#15 · Bhandaracell 4710001722
distance 0.314
#16 · Bhandaracell 4710002971
distance 0.318
#17 · Gondiacell 4760003118
distance 0.318 · cross-district
#18 · Bhandaracell 4710001894
distance 0.319
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":4710001036}}}'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.