Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006908
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
0.038
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007542
distance 0.038
#2 · Nandedcell 4850006904
distance 0.039
#3 · Nandedcell 4850007136
distance 0.048
#4 · Nandedcell 4850007061
distance 0.049
#5 · Nandedcell 4850007135
distance 0.052
#6 · Nandedcell 4850006909
distance 0.056
#7 · Nandedcell 4850007273
distance 0.058
#8 · Yavatmalcell 5000000198
distance 0.059 · cross-district
#9 · Nandedcell 4850007477
distance 0.06
#10 · Yavatmalcell 5000000157
distance 0.06 · cross-district
#11 · Nandedcell 4850007643
distance 0.063
#12 · Yavatmalcell 5000000195
distance 0.066 · cross-district
#13 · Yavatmalcell 5000000158
distance 0.066 · cross-district
#14 · Yavatmalcell 5000000605
distance 0.068 · cross-district
#15 · Nandedcell 4850006773
distance 0.07
#16 · Nandedcell 4850006984
distance 0.073
#17 · Yavatmalcell 5000000126
distance 0.073 · cross-district
#18 · Nandedcell 4850006985
distance 0.074
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":4850006908}}}'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.