Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002992
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.114
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004107
distance 0.114
#2 · Nashikcell 4870002371
distance 0.141
#3 · Nashikcell 4870002993
distance 0.156
#4 · Nashikcell 4870003107
distance 0.159
#5 · Nashikcell 4870003120
distance 0.162
#6 · Solapurcell 4960008375
distance 0.183 · cross-district
#7 · Punecell 4900000334
distance 0.184 · cross-district
#8 · Nashikcell 4870002635
distance 0.189
#9 · Nashikcell 4870002747
distance 0.194
#10 · Punecell 4900000409
distance 0.199 · cross-district
#11 · Nashikcell 4870002370
distance 0.2
#12 · Nashikcell 4870004398
distance 0.203
#13 · Solapurcell 4960008368
distance 0.204 · cross-district
#14 · Punecell 4900000493
distance 0.207 · cross-district
#15 · Nashikcell 4870003811
distance 0.207
#16 · Punecell 4900000669
distance 0.21 · cross-district
#17 · Punecell 4900000278
distance 0.211 · cross-district
#18 · Nashikcell 4870002865
distance 0.212
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":4870002992}}}'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.