Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011757
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.166
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011872
distance 0.166
#2 · Nashikcell 4870011871
distance 0.17
#3 · Nashikcell 4870012082
distance 0.181
#4 · Dhulecell 4740000699
distance 0.188 · cross-district
#5 · Dhulecell 4740000803
distance 0.19 · cross-district
#6 · Dhulecell 4740000709
distance 0.196 · cross-district
#7 · Nashikcell 4870012550
distance 0.198
#8 · Dhulecell 4740000700
distance 0.207 · cross-district
#9 · Nashikcell 4870011756
distance 0.212
#10 · Nashikcell 4870011646
distance 0.214
#11 · Nashikcell 4870011988
distance 0.215
#12 · Nashikcell 4870012981
distance 0.225
#13 · Nashikcell 4870012081
distance 0.237
#14 · Nashikcell 4870012083
distance 0.238
#15 · Dhulecell 4740000793
distance 0.245 · cross-district
#16 · Dhulecell 4740001311
distance 0.245 · cross-district
#17 · Nashikcell 4870012451
distance 0.251
#18 · Nashikcell 4870012381
distance 0.252
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":4870011757}}}'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.