Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001262
The MH-36 locality cells most similar to this Parbhani 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 · Parbhanicell 4890001139
distance 0.038
#2 · Parbhanicell 4890001138
distance 0.04
#3 · Parbhanicell 4890001202
distance 0.073
#4 · Nandedcell 4850004034
distance 0.074 · cross-district
#5 · Parbhanicell 4890000773
distance 0.074
#6 · Parbhanicell 4890000900
distance 0.078
#7 · Parbhanicell 4890000607
distance 0.078
#8 · Nandedcell 4850004244
distance 0.078 · cross-district
#9 · Nandedcell 4850004172
distance 0.082 · cross-district
#10 · Parbhanicell 4890000354
distance 0.083
#11 · Parbhanicell 4890001067
distance 0.086
#12 · Parbhanicell 4890001068
distance 0.089
#13 · Parbhanicell 4890001009
distance 0.09
#14 · Parbhanicell 4890000664
distance 0.09
#15 · Parbhanicell 4890000946
distance 0.091
#16 · Parbhanicell 4890000835
distance 0.093
#17 · Nandedcell 4850003959
distance 0.095 · cross-district
#18 · Nandedcell 4850003885
distance 0.099 · 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":489,"cluster_id":4890001262}}}'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.