Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980002047
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
0.054
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002132
distance 0.054
#2 · Wardhacell 4980002134
distance 0.095
#3 · Wardhacell 4980001870
distance 0.097
#4 · Wardhacell 4980001684
distance 0.097
#5 · Wardhacell 4980001959
distance 0.108
#6 · Wardhacell 4980001958
distance 0.114
#7 · Wardhacell 4980001871
distance 0.114
#8 · Wardhacell 4980001407
distance 0.12
#9 · Wardhacell 4980002157
distance 0.121
#10 · Wardhacell 4980001313
distance 0.124
#11 · Amravaticell 4680000779
distance 0.128 · cross-district
#12 · Amravaticell 4680000647
distance 0.13 · cross-district
#13 · Wardhacell 4980003126
distance 0.131
#14 · Amravaticell 4680000643
distance 0.138 · cross-district
#15 · Amravaticell 4680000576
distance 0.138 · cross-district
#16 · Wardhacell 4980001217
distance 0.138
#17 · Amravaticell 4680000575
distance 0.14 · cross-district
#18 · Amravaticell 4680001123
distance 0.143 · 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":4980002047}}}'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.