Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001991
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.228
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870003507
distance 0.228
#2 · Nashikcell 4870001913
distance 0.266
#3 · Nashikcell 4870002596
distance 0.267
#4 · Nashikcell 4870001914
distance 0.27
#5 · Solapurcell 4960007788
distance 0.294 · cross-district
#6 · Sataracell 4940008707
distance 0.306 · cross-district
#7 · Sataracell 4940007122
distance 0.31 · cross-district
#8 · Nashikcell 4870002518
distance 0.313
#9 · Nashikcell 4870000794
distance 0.317
#10 · Nashikcell 4870002847
distance 0.322
#11 · Sataracell 4940005587
distance 0.325 · cross-district
#12 · Punecell 4900003434
distance 0.326 · cross-district
#13 · Nashikcell 4870002404
distance 0.333
#14 · Nashikcell 4870003083
distance 0.333
#15 · Nashikcell 4870002500
distance 0.333
#16 · Solapurcell 4960008603
distance 0.336 · cross-district
#17 · Nashikcell 4870002850
distance 0.338
#18 · Punecell 4900012755
distance 0.34 · 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":4870001991}}}'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.