Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870013183
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.072
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870012601
distance 0.072
#2 · Nashikcell 4870011699
distance 0.075
#3 · Nashikcell 4870011698
distance 0.089
#4 · Nashikcell 4870012140
distance 0.1
#5 · Nashikcell 4870013110
distance 0.101
#6 · Nashikcell 4870013181
distance 0.11
#7 · Dhulecell 4740000091
distance 0.115 · cross-district
#8 · Dhulecell 4740000095
distance 0.118 · cross-district
#9 · Nashikcell 4870012249
distance 0.118
#10 · Nashikcell 4870011934
distance 0.119
#11 · Nashikcell 4870011685
distance 0.119
#12 · Dhulecell 4740000113
distance 0.12 · cross-district
#13 · Nashikcell 4870011938
distance 0.121
#14 · Dhulecell 4740002630
distance 0.123 · cross-district
#15 · Dhulecell 4740003086
distance 0.126 · cross-district
#16 · Dhulecell 4740000127
distance 0.126 · cross-district
#17 · Nashikcell 4870012438
distance 0.128
#18 · Dhulecell 4740000123
distance 0.131 · 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":487,"cluster_id":4870013183}}}'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.