Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770003593
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.064
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770003587
distance 0.064
#2 · Hingolicell 4770003531
distance 0.065
#3 · Hingolicell 4770003759
distance 0.067
#4 · Hingolicell 4770003590
distance 0.07
#5 · Hingolicell 4770003752
distance 0.071
#6 · Hingolicell 4770003847
distance 0.076
#7 · Hingolicell 4770003766
distance 0.08
#8 · Hingolicell 4770003529
distance 0.081
#9 · Washimcell 4990000833
distance 0.084 · cross-district
#10 · Hingolicell 4770003645
distance 0.085
#11 · Hingolicell 4770003767
distance 0.085
#12 · Hingolicell 4770003646
distance 0.086
#13 · Washimcell 4990000822
distance 0.088 · cross-district
#14 · Washimcell 4990000763
distance 0.088 · cross-district
#15 · Washimcell 4990001093
distance 0.089 · cross-district
#16 · Washimcell 4990000537
distance 0.089 · cross-district
#17 · Hingolicell 4770003700
distance 0.089
#18 · Washimcell 4990000606
distance 0.091 · 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":4770003593}}}'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.