Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008699
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
0.109
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008843
distance 0.109
#2 · Nashikcell 4870008981
distance 0.13
#3 · Nashikcell 4870008409
distance 0.134
#4 · Dhulecell 4740004001
distance 0.148 · cross-district
#5 · Dhulecell 4740000086
distance 0.153 · cross-district
#6 · Nashikcell 4870011342
distance 0.154
#7 · Nashikcell 4870012964
distance 0.154
#8 · Nashikcell 4870013030
distance 0.155
#9 · Nashikcell 4870009540
distance 0.155
#10 · Nashikcell 4870010986
distance 0.156
#11 · Nashikcell 4870008549
distance 0.157
#12 · Nashikcell 4870012503
distance 0.157
#13 · Nashikcell 4870009950
distance 0.158
#14 · Dhulecell 4740001591
distance 0.158 · cross-district
#15 · Dhulecell 4740004000
distance 0.16 · cross-district
#16 · Nashikcell 4870013181
distance 0.162
#17 · Dhulecell 4740002726
distance 0.162 · cross-district
#18 · Dhulecell 4740000428
distance 0.162 · 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":4870008699}}}'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.