Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001421
The MH-36 locality cells most similar to this Wardha 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
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002059
distance 0.102
#2 · Wardhacell 4980001514
distance 0.113
#3 · Yavatmalcell 5000006722
distance 0.124 · cross-district
#4 · Wardhacell 4980002683
distance 0.124
#5 · Wardhacell 4980002146
distance 0.13
#6 · Wardhacell 4980001611
distance 0.137
#7 · Yavatmalcell 5000007110
distance 0.137 · cross-district
#8 · Wardhacell 4980003368
distance 0.138
#9 · Yavatmalcell 5000007246
distance 0.14 · cross-district
#10 · Wardhacell 4980001519
distance 0.14
#11 · Wardhacell 4980001971
distance 0.142
#12 · Wardhacell 4980001616
distance 0.145
#13 · Yavatmalcell 5000007631
distance 0.146 · cross-district
#14 · Wardhacell 4980001513
distance 0.146
#15 · Wardhacell 4980003437
distance 0.149
#16 · Yavatmalcell 5000007764
distance 0.149 · cross-district
#17 · Yavatmalcell 5000006983
distance 0.153 · cross-district
#18 · Wardhacell 4980003067
distance 0.153
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":498,"cluster_id":4980001421}}}'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.