Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770003613
The MH-36 locality cells most similar to this Hingoli 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.055
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770003672
distance 0.055
#2 · Hingolicell 4770003674
distance 0.075
#3 · Hingolicell 4770003616
distance 0.078
#4 · Hingolicell 4770003554
distance 0.082
#5 · Hingolicell 4770003902
distance 0.084
#6 · Hingolicell 4770003864
distance 0.086
#7 · Hingolicell 4770003863
distance 0.092
#8 · Washimcell 4990000117
distance 0.094 · cross-district
#9 · Washimcell 4990000142
distance 0.095 · cross-district
#10 · Hingolicell 4770003866
distance 0.095
#11 · Hingolicell 4770003939
distance 0.096
#12 · Washimcell 4990000171
distance 0.096 · cross-district
#13 · Washimcell 4990000943
distance 0.096 · cross-district
#14 · Hingolicell 4770003824
distance 0.098
#15 · Washimcell 4990000555
distance 0.099 · cross-district
#16 · Hingolicell 4770003992
distance 0.099
#17 · Hingolicell 4770003615
distance 0.099
#18 · Washimcell 4990001119
distance 0.1 · 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":477,"cluster_id":4770003613}}}'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.