Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007129
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
0.081
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007722
distance 0.081
#2 · Nandedcell 4850007914
distance 0.093
#3 · Nandedcell 4850007199
distance 0.097
#4 · Nandedcell 4850007823
distance 0.11
#5 · Nandedcell 4850007873
distance 0.117
#6 · Nandedcell 4850007790
distance 0.117
#7 · Nandedcell 4850007760
distance 0.126
#8 · Nandedcell 4850007792
distance 0.128
#9 · Nandedcell 4850007849
distance 0.129
#10 · Hingolicell 4770001613
distance 0.132 · cross-district
#11 · Nandedcell 4850007904
distance 0.133
#12 · Nandedcell 4850007189
distance 0.133
#13 · Yavatmalcell 5000001121
distance 0.134 · cross-district
#14 · Nandedcell 4850007822
distance 0.134
#15 · Yavatmalcell 5000000900
distance 0.138 · cross-district
#16 · Hingolicell 4770001383
distance 0.14 · cross-district
#17 · Hingolicell 4770001648
distance 0.14 · cross-district
#18 · Yavatmalcell 5000000956
distance 0.142 · 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":485,"cluster_id":4850007129}}}'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.