Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002946
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
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850005388
distance 0.167
#2 · Nandedcell 4850004301
distance 0.201
#3 · Nandedcell 4850003577
distance 0.221
#4 · Nandedcell 4850004024
distance 0.231
#5 · Hingolicell 4770000344
distance 0.259 · cross-district
#6 · Nandedcell 4850005248
distance 0.262
#7 · Nandedcell 4850004781
distance 0.262
#8 · Parbhanicell 4890001320
distance 0.276 · cross-district
#9 · Nandedcell 4850008274
distance 0.286
#10 · Nandedcell 4850008292
distance 0.292
#11 · Hingolicell 4770000296
distance 0.297 · cross-district
#12 · Dharashivcell 4880004332
distance 0.298 · cross-district
#13 · Nandedcell 4850005449
distance 0.301
#14 · Nandedcell 4850003197
distance 0.303
#15 · Nandedcell 4850003413
distance 0.308
#16 · Dharashivcell 4880004949
distance 0.309 · cross-district
#17 · Nandedcell 4850008217
distance 0.31
#18 · Nandedcell 4850002349
distance 0.312
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":4850002946}}}'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.