Bhārata Strata · Maharashtra · Gondia · morphological twins
Places like cell 4760004264
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.137
lower = more alike (weighted)
The twins, closest first
#1 · Gondiacell 4760003988
distance 0.137
#2 · Gondiacell 4760003893
distance 0.201
#3 · Gondiacell 4760004276
distance 0.208
#4 · Gondiacell 4760003039
distance 0.215
#5 · Gondiacell 4760004179
distance 0.217
#6 · Gondiacell 4760004034
distance 0.222
#7 · Gondiacell 4760003948
distance 0.226
#8 · Gondiacell 4760003730
distance 0.229
#9 · Gondiacell 4760003896
distance 0.233
#10 · Gondiacell 4760003279
distance 0.239
#11 · Nagpurcell 4840003712
distance 0.245 · cross-district
#12 · Gondiacell 4760004134
distance 0.246
#13 · Bhandaracell 4710001559
distance 0.251 · cross-district
#14 · Bhandaracell 4710001496
distance 0.252 · cross-district
#15 · Nagpurcell 4840006001
distance 0.255 · cross-district
#16 · Gondiacell 4760003845
distance 0.257
#17 · Wardhacell 4980001556
distance 0.259 · cross-district
#18 · Bhandaracell 4710002446
distance 0.264 · 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":476,"cluster_id":4760004264}}}'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.