Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007152
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.126
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007153
distance 0.126
#2 · Nandedcell 4850006264
distance 0.132
#3 · Nandedcell 4850007084
distance 0.15
#4 · Nandedcell 4850007360
distance 0.151
#5 · Yavatmalcell 5000000308
distance 0.157 · cross-district
#6 · Nandedcell 4850007150
distance 0.159
#7 · Nandedcell 4850007355
distance 0.16
#8 · Nandedcell 4850005354
distance 0.16
#9 · Yavatmalcell 5000000307
distance 0.163 · cross-district
#10 · Nandedcell 4850007215
distance 0.164
#11 · Yavatmalcell 5000000172
distance 0.167 · cross-district
#12 · Yavatmalcell 5000001107
distance 0.167 · cross-district
#13 · Yavatmalcell 5000000411
distance 0.167 · cross-district
#14 · Yavatmalcell 5000000474
distance 0.168 · cross-district
#15 · Nandedcell 4850007151
distance 0.169
#16 · Nandedcell 4850007213
distance 0.169
#17 · Nandedcell 4850006854
distance 0.169
#18 · Nandedcell 4850006788
distance 0.171
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":4850007152}}}'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.