Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870006882
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
0.134
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870006577
distance 0.134
#2 · Nashikcell 4870005855
distance 0.155
#3 · Nashikcell 4870006137
distance 0.169
#4 · Nashikcell 4870007605
distance 0.172
#5 · Nashikcell 4870007753
distance 0.179
#6 · Nashikcell 4870005260
distance 0.188
#7 · Punecell 4900000590
distance 0.19 · cross-district
#8 · Punecell 4900000481
distance 0.199 · cross-district
#9 · Punecell 4900000578
distance 0.201 · cross-district
#10 · Nashikcell 4870006881
distance 0.202
#11 · Nashikcell 4870007177
distance 0.203
#12 · Punecell 4900001031
distance 0.206 · cross-district
#13 · Solapurcell 4960008861
distance 0.207 · cross-district
#14 · Nashikcell 4870006436
distance 0.21
#15 · Nashikcell 4870006576
distance 0.213
#16 · Solapurcell 4960008767
distance 0.213 · cross-district
#17 · Nashikcell 4870006277
distance 0.214
#18 · Punecell 4900001457
distance 0.215 · 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":4870006882}}}'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.