Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850001072
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.161
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000372
distance 0.161
#2 · Nandedcell 4850000669
distance 0.163
#3 · Nandedcell 4850001227
distance 0.184
#4 · Nandedcell 4850001788
distance 0.194
#5 · Nandedcell 4850001785
distance 0.204
#6 · Jalnacell 4790001526
distance 0.204 · cross-district
#7 · Dharashivcell 4880000963
distance 0.207 · cross-district
#8 · Nandedcell 4850002748
distance 0.214
#9 · Nandedcell 4850000370
distance 0.216
#10 · Nandedcell 4850001434
distance 0.217
#11 · Nandedcell 4850000298
distance 0.221
#12 · Nandedcell 4850002038
distance 0.223
#13 · Parbhanicell 4890000324
distance 0.224 · cross-district
#14 · Amravaticell 4680000486
distance 0.225 · cross-district
#15 · Jalgaoncell 4780003189
distance 0.225 · cross-district
#16 · Nandedcell 4850000649
distance 0.226
#17 · Nandedcell 4850001028
distance 0.227
#18 · Dharashivcell 4880000495
distance 0.228 · 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":4850001072}}}'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.