Bhārata Strata · Maharashtra · Gondia · morphological twins
Places like cell 4760001554
The MH-36 locality cells most similar to this Gondia 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.128
lower = more alike (weighted)
The twins, closest first
#1 · Gondiacell 4760001231
distance 0.128
#2 · Gondiacell 4760001630
distance 0.141
#3 · Gondiacell 4760001704
distance 0.146
#4 · Gondiacell 4760001479
distance 0.171
#5 · Bhandaracell 4710003435
distance 0.18 · cross-district
#6 · Gondiacell 4760001518
distance 0.187
#7 · Gondiacell 4760001136
distance 0.188
#8 · Gondiacell 4760001022
distance 0.188
#9 · Bhandaracell 4710001205
distance 0.189 · cross-district
#10 · Gondiacell 4760001312
distance 0.189
#11 · Nagpurcell 4840005476
distance 0.191 · cross-district
#12 · Bhandaracell 4710003393
distance 0.191 · cross-district
#13 · Bhandaracell 4710003478
distance 0.193 · cross-district
#14 · Gondiacell 4760002356
distance 0.195
#15 · Gondiacell 4760000971
distance 0.198
#16 · Gondiacell 4760002092
distance 0.199
#17 · Bhandaracell 4710001777
distance 0.2 · cross-district
#18 · Gondiacell 4760002049
distance 0.2
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":476,"cluster_id":4760001554}}}'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.