Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000010375
The MH-36 locality cells most similar to this Yavatmal 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.04
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000010065
distance 0.04
#2 · Yavatmalcell 5000011065
distance 0.047
#3 · Yavatmalcell 5000009835
distance 0.058
#4 · Yavatmalcell 5000009850
distance 0.069
#5 · Yavatmalcell 5000010466
distance 0.07
#6 · Yavatmalcell 5000010170
distance 0.081
#7 · Yavatmalcell 5000010554
distance 0.086
#8 · Yavatmalcell 5000010465
distance 0.091
#9 · Amravaticell 4680000004
distance 0.098 · cross-district
#10 · Yavatmalcell 5000010447
distance 0.099
#11 · Yavatmalcell 5000009622
distance 0.102
#12 · Washimcell 4990004249
distance 0.104 · cross-district
#13 · Yavatmalcell 5000010364
distance 0.107
#14 · Yavatmalcell 5000010630
distance 0.109
#15 · Akolacell 4670001271
distance 0.11 · cross-district
#16 · Yavatmalcell 5000008929
distance 0.112
#17 · Washimcell 4990003810
distance 0.112 · cross-district
#18 · Washimcell 4990003900
distance 0.113 · 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":500,"cluster_id":5000010375}}}'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.