Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850004821
The MH-36 locality cells most similar to this Nanded 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.173
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850004750
distance 0.173
#2 · Nandedcell 4850004876
distance 0.176
#3 · Nandedcell 4850004953
distance 0.177
#4 · Nandedcell 4850004811
distance 0.204
#5 · Nandedcell 4850004937
distance 0.209
#6 · Nandedcell 4850005341
distance 0.216
#7 · Nandedcell 4850005783
distance 0.225
#8 · Laturcell 4810003399
distance 0.229 · cross-district
#9 · Hingolicell 4770000243
distance 0.238 · cross-district
#10 · Nandedcell 4850004817
distance 0.241
#11 · Laturcell 4810003787
distance 0.243 · cross-district
#12 · Nandedcell 4850006342
distance 0.244
#13 · Laturcell 4810003890
distance 0.248 · cross-district
#14 · Laturcell 4810003067
distance 0.248 · cross-district
#15 · Nandedcell 4850005475
distance 0.249
#16 · Laturcell 4810003785
distance 0.251 · cross-district
#17 · Laturcell 4810004192
distance 0.252 · cross-district
#18 · Nandedcell 4850005217
distance 0.253
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":485,"cluster_id":4850004821}}}'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.