Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006830
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.168
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007131
distance 0.168
#2 · Yavatmalcell 5000000239
distance 0.171 · cross-district
#3 · Nandedcell 4850005612
distance 0.19
#4 · Nandedcell 4850006835
distance 0.204
#5 · Nandedcell 4850004857
distance 0.206
#6 · Nandedcell 4850007404
distance 0.213
#7 · Nandedcell 4850004177
distance 0.222
#8 · Nandedcell 4850006541
distance 0.222
#9 · Nandedcell 4850005029
distance 0.223
#10 · Nandedcell 4850006995
distance 0.223
#11 · Yavatmalcell 5000000241
distance 0.227 · cross-district
#12 · Washimcell 4990001484
distance 0.228 · cross-district
#13 · Hingolicell 4770000136
distance 0.228 · cross-district
#14 · Yavatmalcell 5000000309
distance 0.229 · cross-district
#15 · Nandedcell 4850005929
distance 0.23
#16 · Hingolicell 4770000341
distance 0.236 · cross-district
#17 · Nandedcell 4850004743
distance 0.236
#18 · Nandedcell 4850004523
distance 0.237
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":4850006830}}}'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.