Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001641
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
0.155
lower = more alike (weighted)
The twins, closest first
#1 · Gondiacell 4760002784
distance 0.155 · cross-district
#2 · Bhandaracell 4710001813
distance 0.17
#3 · Bhandaracell 4710001719
distance 0.18
#4 · Bhandaracell 4710001520
distance 0.198
#5 · Gondiacell 4760002615
distance 0.198 · cross-district
#6 · Gondiacell 4760002541
distance 0.199 · cross-district
#7 · Bhandaracell 4710001317
distance 0.21
#8 · Bhandaracell 4710001401
distance 0.211
#9 · Bhandaracell 4710001551
distance 0.214
#10 · Bhandaracell 4710001743
distance 0.221
#11 · Bhandaracell 4710001711
distance 0.223
#12 · Bhandaracell 4710001314
distance 0.232
#13 · Bhandaracell 4710001816
distance 0.232
#14 · Bhandaracell 4710000438
distance 0.234
#15 · Bhandaracell 4710002093
distance 0.234
#16 · Nagpurcell 4840001648
distance 0.235 · cross-district
#17 · Bhandaracell 4710001692
distance 0.235
#18 · Nagpurcell 4840001466
distance 0.239 · 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":4710001641}}}'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.