Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012344
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
0.092
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870012962
distance 0.092
#2 · Dhulecell 4740000587
distance 0.109 · cross-district
#3 · Nashikcell 4870012895
distance 0.116
#4 · Nashikcell 4870012603
distance 0.119
#5 · Dhulecell 4740002208
distance 0.122 · cross-district
#6 · Dhulecell 4740000395
distance 0.124 · cross-district
#7 · Nashikcell 4870013242
distance 0.128
#8 · Dhulecell 4740000272
distance 0.136 · cross-district
#9 · Nashikcell 4870012820
distance 0.138
#10 · Nashikcell 4870011935
distance 0.14
#11 · Dhulecell 4740002909
distance 0.141 · cross-district
#12 · Nashikcell 4870011471
distance 0.141
#13 · Nashikcell 4870011815
distance 0.141
#14 · Dhulecell 4740000752
distance 0.146 · cross-district
#15 · Dhulecell 4740000471
distance 0.147 · cross-district
#16 · Nashikcell 4870013036
distance 0.148
#17 · Nashikcell 4870007537
distance 0.148
#18 · Nashikcell 4870012662
distance 0.149
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":4870012344}}}'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.