Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000261
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
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.191
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000208
distance 0.191
#2 · Nashikcell 4870000210
distance 0.191
#3 · Nashikcell 4870000554
distance 0.2
#4 · Nashikcell 4870000126
distance 0.239
#5 · Nashikcell 4870000315
distance 0.257
#6 · Thanecell 4970003399
distance 0.279 · cross-district
#7 · Nashikcell 4870010750
distance 0.287
#8 · Nashikcell 4870003071
distance 0.288
#9 · Thanecell 4970002658
distance 0.288 · cross-district
#10 · Thanecell 4970002595
distance 0.289 · cross-district
#11 · Nashikcell 4870002397
distance 0.291
#12 · Thanecell 4970002523
distance 0.291 · cross-district
#13 · Kolhapurcell 4800001199
distance 0.292 · cross-district
#14 · Thanecell 4970002776
distance 0.296 · cross-district
#15 · Nashikcell 4870000162
distance 0.298
#16 · Thanecell 4970002522
distance 0.302 · cross-district
#17 · Nashikcell 4870009824
distance 0.303
#18 · Nashikcell 4870003482
distance 0.305
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":4870000261}}}'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.