Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980003131
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
0.107
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980003315
distance 0.107
#2 · Wardhacell 4980002947
distance 0.118
#3 · Wardhacell 4980003020
distance 0.148
#4 · Wardhacell 4980004327
distance 0.158
#5 · Yavatmalcell 5000004912
distance 0.158 · cross-district
#6 · Wardhacell 4980002953
distance 0.159
#7 · Yavatmalcell 5000009112
distance 0.16 · cross-district
#8 · Yavatmalcell 5000007899
distance 0.167 · cross-district
#9 · Yavatmalcell 5000009686
distance 0.167 · cross-district
#10 · Wardhacell 4980003507
distance 0.168
#11 · Yavatmalcell 5000007628
distance 0.17 · cross-district
#12 · Wardhacell 4980001416
distance 0.171
#13 · Wardhacell 4980005247
distance 0.173
#14 · Wardhacell 4980001791
distance 0.173
#15 · Wardhacell 4980003074
distance 0.175
#16 · Wardhacell 4980003442
distance 0.177
#17 · Wardhacell 4980003571
distance 0.178
#18 · Yavatmalcell 5000008750
distance 0.18 · 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":498,"cluster_id":4980003131}}}'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.