Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870013197
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
0.18
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870013130
distance 0.18
#2 · Nashikcell 4870011767
distance 0.183
#3 · Nashikcell 4870013055
distance 0.202
#4 · Nashikcell 4870012757
distance 0.212
#5 · Nashikcell 4870011759
distance 0.223
#6 · Nashikcell 4870011992
distance 0.248
#7 · Nashikcell 4870012902
distance 0.249
#8 · Nashikcell 4870013133
distance 0.26
#9 · Nashikcell 4870011884
distance 0.261
#10 · Dhulecell 4740001101
distance 0.263 · cross-district
#11 · Nashikcell 4870012987
distance 0.271
#12 · Dhulecell 4740001427
distance 0.277 · cross-district
#13 · Dhulecell 4740001020
distance 0.28 · cross-district
#14 · Nashikcell 4870013323
distance 0.282
#15 · Dhulecell 4740000891
distance 0.282 · cross-district
#16 · Dhulecell 4740001646
distance 0.283 · cross-district
#17 · Dharashivcell 4880006047
distance 0.285 · cross-district
#18 · Nandedcell 4850007405
distance 0.287 · 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":4870013197}}}'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.