Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012043
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
42
morphology-v2 feature dimensions
Closest twin distance
0.056
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011932
distance 0.056
#2 · Nashikcell 4870012042
distance 0.059
#3 · Nashikcell 4870012604
distance 0.088
#4 · Nashikcell 4870009540
distance 0.093
#5 · Nashikcell 4870011817
distance 0.098
#6 · Nashikcell 4870013182
distance 0.1
#7 · Nashikcell 4870011934
distance 0.103
#8 · Nashikcell 4870012823
distance 0.107
#9 · Dhulecell 4740000066
distance 0.107 · cross-district
#10 · Nashikcell 4870012439
distance 0.113
#11 · Dhulecell 4740003176
distance 0.116 · cross-district
#12 · Dhulecell 4740000013
distance 0.119 · cross-district
#13 · Dhulecell 4740000478
distance 0.119 · cross-district
#14 · Dhulecell 4740000015
distance 0.119 · cross-district
#15 · Dhulecell 4740000480
distance 0.12 · cross-district
#16 · Nashikcell 4870009267
distance 0.12
#17 · Dhulecell 4740002824
distance 0.12 · cross-district
#18 · Nashikcell 4870012885
distance 0.121
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":4870012043}}}'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.