Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000665
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
42
morphology-v2 feature dimensions
Closest twin distance
0.201
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000593
distance 0.201
#2 · Nashikcell 4870000586
distance 0.205
#3 · Nashikcell 4870000463
distance 0.224
#4 · Nashikcell 4870000668
distance 0.245
#5 · Nashikcell 4870002327
distance 0.26
#6 · Ahmednagarcell 4660013306
distance 0.276 · cross-district
#7 · Nashikcell 4870000817
distance 0.282
#8 · Nashikcell 4870000456
distance 0.284
#9 · Nashikcell 4870000471
distance 0.285
#10 · Solapurcell 4960006216
distance 0.286 · cross-district
#11 · Nashikcell 4870000667
distance 0.288
#12 · Nashikcell 4870001723
distance 0.3
#13 · Sataracell 4940007671
distance 0.301 · cross-district
#14 · Ahmednagarcell 4660012432
distance 0.302 · cross-district
#15 · Nashikcell 4870000746
distance 0.305
#16 · Nashikcell 4870001752
distance 0.305
#17 · Solapurcell 4960005951
distance 0.307 · cross-district
#18 · Sataracell 4940006593
distance 0.307 · 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":4870000665}}}'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.