Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012293
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
0.283
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660002854
distance 0.283 · cross-district
#2 · Nashikcell 4870013263
distance 0.292
#3 · Nashikcell 4870012840
distance 0.3
#4 · Dhulecell 4740000706
distance 0.33 · cross-district
#5 · Nashikcell 4870012463
distance 0.331
#6 · Nashikcell 4870012385
distance 0.334
#7 · Nashikcell 4870012985
distance 0.335
#8 · Dhulecell 4740000791
distance 0.34 · cross-district
#9 · Nashikcell 4870012084
distance 0.341
#10 · Nashikcell 4870012290
distance 0.341
#11 · Nashikcell 4870012468
distance 0.343
#12 · Nashikcell 4870012464
distance 0.347
#13 · Dhulecell 4740002132
distance 0.352 · cross-district
#14 · Nashikcell 4870012380
distance 0.367
#15 · Nashikcell 4870011752
distance 0.37
#16 · Beedcell 4700004039
distance 0.374 · cross-district
#17 · Nashikcell 4870013190
distance 0.38
#18 · Dhulecell 4740002138
distance 0.385 · 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":4870012293}}}'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.