Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006849
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
0.145
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000338
distance 0.145 · cross-district
#2 · Nandedcell 4850006990
distance 0.173
#3 · Nandedcell 4850006848
distance 0.179
#4 · Yavatmalcell 5000000352
distance 0.181 · cross-district
#5 · Nandedcell 4850007642
distance 0.184
#6 · Yavatmalcell 5000000049
distance 0.196 · cross-district
#7 · Nandedcell 4850007276
distance 0.199
#8 · Nandedcell 4850006769
distance 0.203
#9 · Yavatmalcell 5000000405
distance 0.211 · cross-district
#10 · Nandedcell 4850006258
distance 0.218
#11 · Yavatmalcell 5000000503
distance 0.223 · cross-district
#12 · Nandedcell 4850005804
distance 0.225
#13 · Nandedcell 4850007079
distance 0.227
#14 · Nandedcell 4850007008
distance 0.229
#15 · Hingolicell 4770000301
distance 0.231 · cross-district
#16 · Nandedcell 4850006294
distance 0.232
#17 · Nandedcell 4850006535
distance 0.234
#18 · Nandedcell 4850007286
distance 0.235
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":4850006849}}}'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.