Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004243
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.179
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004103
distance 0.179
#2 · Ahmednagarcell 4660011651
distance 0.222 · cross-district
#3 · Nashikcell 4870004099
distance 0.228
#4 · Ahmednagarcell 4660011006
distance 0.238 · cross-district
#5 · Punecell 4900000708
distance 0.251 · cross-district
#6 · Nashikcell 4870001738
distance 0.251
#7 · Punecell 4900000910
distance 0.252 · cross-district
#8 · Nashikcell 4870004100
distance 0.254
#9 · Nashikcell 4870003944
distance 0.258
#10 · Nashikcell 4870009867
distance 0.26
#11 · Sataracell 4940007254
distance 0.261 · cross-district
#12 · Nashikcell 4870007456
distance 0.264
#13 · Nashikcell 4870004385
distance 0.266
#14 · Solapurcell 4960008573
distance 0.268 · cross-district
#15 · Nashikcell 4870010152
distance 0.268
#16 · Nashikcell 4870009476
distance 0.269
#17 · Nashikcell 4870010404
distance 0.27
#18 · Nashikcell 4870006420
distance 0.27
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":4870004243}}}'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.