Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001415
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
0.087
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000970
distance 0.087
#2 · Beedcell 4700006865
distance 0.088 · cross-district
#3 · Beedcell 4700006604
distance 0.09 · cross-district
#4 · Parbhanicell 4890001560
distance 0.094
#5 · Parbhanicell 4890000908
distance 0.103
#6 · Parbhanicell 4890000905
distance 0.103
#7 · Parbhanicell 4890000971
distance 0.109
#8 · Beedcell 4700006468
distance 0.112 · cross-district
#9 · Parbhanicell 4890001488
distance 0.115
#10 · Parbhanicell 4890001029
distance 0.115
#11 · Parbhanicell 4890004652
distance 0.116
#12 · Parbhanicell 4890004385
distance 0.117
#13 · Parbhanicell 4890000730
distance 0.117
#14 · Beedcell 4700007143
distance 0.118 · cross-district
#15 · Beedcell 4700006981
distance 0.119 · cross-district
#16 · Parbhanicell 4890004840
distance 0.121
#17 · Parbhanicell 4890004008
distance 0.123
#18 · Parbhanicell 4890001089
distance 0.124
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":4890001415}}}'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.