Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000400
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.077
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000686
distance 0.077
#2 · Parbhanicell 4890001501
distance 0.082
#3 · Parbhanicell 4890000385
distance 0.105
#4 · Parbhanicell 4890000388
distance 0.109
#5 · Washimcell 4990001922
distance 0.113 · cross-district
#6 · Parbhanicell 4890000637
distance 0.113
#7 · Beedcell 4700004985
distance 0.114 · cross-district
#8 · Parbhanicell 4890000632
distance 0.118
#9 · Parbhanicell 4890000648
distance 0.121
#10 · Parbhanicell 4890000718
distance 0.122
#11 · Buldhanacell 4720001587
distance 0.122 · cross-district
#12 · Parbhanicell 4890000747
distance 0.124
#13 · Parbhanicell 4890000401
distance 0.125
#14 · Buldhanacell 4720001846
distance 0.125 · cross-district
#15 · Beedcell 4700004980
distance 0.125 · cross-district
#16 · Parbhanicell 4890000225
distance 0.125
#17 · Parbhanicell 4890000454
distance 0.126
#18 · Parbhanicell 4890001521
distance 0.126
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":4890000400}}}'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.