Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002792
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.176
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850002182
distance 0.176
#2 · Nandedcell 4850001697
distance 0.191
#3 · Nandedcell 4850001407
distance 0.205
#4 · Nandedcell 4850001913
distance 0.206
#5 · Nandedcell 4850003175
distance 0.221
#6 · Nandedcell 4850002975
distance 0.227
#7 · Nandedcell 4850001764
distance 0.237
#8 · Nandedcell 4850001278
distance 0.24
#9 · Nandedcell 4850001757
distance 0.241
#10 · Parbhanicell 4890000058
distance 0.25 · cross-district
#11 · Nandedcell 4850002986
distance 0.255
#12 · Parbhanicell 4890000219
distance 0.258 · cross-district
#13 · Nandedcell 4850002011
distance 0.261
#14 · Ahmednagarcell 4660006070
distance 0.266 · cross-district
#15 · Nandedcell 4850002439
distance 0.267
#16 · Nandedcell 4850001847
distance 0.269
#17 · Parbhanicell 4890000318
distance 0.276 · cross-district
#18 · Dharashivcell 4880006234
distance 0.28 · 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":4850002792}}}'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.