Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000282
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
0.071
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000198
distance 0.071
#2 · Parbhanicell 4890000278
distance 0.074
#3 · Parbhanicell 4890000233
distance 0.08
#4 · Parbhanicell 4890000120
distance 0.08
#5 · Parbhanicell 4890000121
distance 0.093
#6 · Parbhanicell 4890000281
distance 0.094
#7 · Parbhanicell 4890000266
distance 0.096
#8 · Parbhanicell 4890000237
distance 0.099
#9 · Nandedcell 4850002970
distance 0.101 · cross-district
#10 · Nandedcell 4850001831
distance 0.103 · cross-district
#11 · Parbhanicell 4890000201
distance 0.109
#12 · Nandedcell 4850001994
distance 0.11 · cross-district
#13 · Nandedcell 4850002249
distance 0.113 · cross-district
#14 · Parbhanicell 4890000242
distance 0.113
#15 · Parbhanicell 4890000122
distance 0.116
#16 · Nandedcell 4850002519
distance 0.116 · cross-district
#17 · Parbhanicell 4890000309
distance 0.118
#18 · Parbhanicell 4890000274
distance 0.119
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":4890000282}}}'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.