Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000023
The MH-36 locality cells most similar to this Nashik 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.099
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000022
distance 0.099
#2 · Nashikcell 4870000010
distance 0.102
#3 · Thanecell 4970003226
distance 0.228 · cross-district
#4 · Nashikcell 4870009008
distance 0.246
#5 · Nashikcell 4870000009
distance 0.246
#6 · Nashikcell 4870010234
distance 0.247
#7 · Nashikcell 4870011138
distance 0.249
#8 · Thanecell 4970003051
distance 0.25 · cross-district
#9 · Thanecell 4970003310
distance 0.258 · cross-district
#10 · Nashikcell 4870009701
distance 0.261
#11 · Nashikcell 4870008874
distance 0.263
#12 · Thanecell 4970003269
distance 0.264 · cross-district
#13 · Nashikcell 4870009433
distance 0.264
#14 · Thanecell 4970003379
distance 0.273 · cross-district
#15 · Nashikcell 4870009285
distance 0.273
#16 · Thanecell 4970003348
distance 0.274 · cross-district
#17 · Nashikcell 4870010878
distance 0.275
#18 · Nashikcell 4870010090
distance 0.278
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":487,"cluster_id":4870000023}}}'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.