Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980003074
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
43
morphology-v2 feature dimensions
Closest twin distance
0.13
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002945
distance 0.13
#2 · Wardhacell 4980002947
distance 0.159
#3 · Wardhacell 4980003073
distance 0.16
#4 · Wardhacell 4980003075
distance 0.161
#5 · Yavatmalcell 5000009221
distance 0.163 · cross-district
#6 · Yavatmalcell 5000009000
distance 0.166 · cross-district
#7 · Wardhacell 4980003315
distance 0.167
#8 · Wardhacell 4980004700
distance 0.167
#9 · Wardhacell 4980003200
distance 0.169
#10 · Wardhacell 4980003571
distance 0.173
#11 · Wardhacell 4980003131
distance 0.175
#12 · Wardhacell 4980003019
distance 0.177
#13 · Yavatmalcell 5000009213
distance 0.178 · cross-district
#14 · Yavatmalcell 5000008868
distance 0.181 · cross-district
#15 · Yavatmalcell 5000007772
distance 0.182 · cross-district
#16 · Yavatmalcell 5000008044
distance 0.185 · cross-district
#17 · Wardhacell 4980003351
distance 0.186
#18 · Wardhacell 4980003736
distance 0.186
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":4980003074}}}'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.