Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870009692
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.175
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008435
distance 0.175
#2 · Nashikcell 4870008287
distance 0.2
#3 · Nashikcell 4870011735
distance 0.209
#4 · Thanecell 4970003397
distance 0.209 · cross-district
#5 · Thanecell 4970003514
distance 0.227 · cross-district
#6 · Thanecell 4970003131
distance 0.228 · cross-district
#7 · Thanecell 4970002723
distance 0.229 · cross-district
#8 · Nashikcell 4870009558
distance 0.231
#9 · Nashikcell 4870009691
distance 0.233
#10 · Nashikcell 4870011137
distance 0.234
#11 · Nashikcell 4870009286
distance 0.236
#12 · Thanecell 4970003364
distance 0.237 · cross-district
#13 · Nashikcell 4870008427
distance 0.238
#14 · Palgharcell 6650002488
distance 0.242 · cross-district
#15 · Nashikcell 4870011842
distance 0.242
#16 · Thanecell 4970002311
distance 0.244 · cross-district
#17 · Nashikcell 4870009705
distance 0.246
#18 · Nashikcell 4870009825
distance 0.248
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":4870009692}}}'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.