Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012082
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.101
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000709
distance 0.101 · cross-district
#2 · Nashikcell 4870011645
distance 0.141
#3 · Dhulecell 4740000803
distance 0.151 · cross-district
#4 · Nashikcell 4870011877
distance 0.171
#5 · Nashikcell 4870011757
distance 0.181
#6 · Nashikcell 4870012769
distance 0.185
#7 · Nashikcell 4870012626
distance 0.187
#8 · Nashikcell 4870012981
distance 0.201
#9 · Dhulecell 4740000700
distance 0.202 · cross-district
#10 · Nashikcell 4870012916
distance 0.21
#11 · Nashikcell 4870011630
distance 0.223
#12 · Nashikcell 4870011874
distance 0.228
#13 · Dhulecell 4740003111
distance 0.229 · cross-district
#14 · Dhulecell 4740002252
distance 0.229 · cross-district
#15 · Dhulecell 4740000898
distance 0.23 · cross-district
#16 · Nashikcell 4870012771
distance 0.231
#17 · Nashikcell 4870011646
distance 0.237
#18 · Nandurbarcell 4860000046
distance 0.237 · 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":4870012082}}}'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.