Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980002132
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 4980002047
distance 0.054
#2 · Wardhacell 4980001870
distance 0.07
#3 · Wardhacell 4980001684
distance 0.07
#4 · Wardhacell 4980002134
distance 0.077
#5 · Wardhacell 4980001958
distance 0.101
#6 · Wardhacell 4980001407
distance 0.106
#7 · Wardhacell 4980001871
distance 0.107
#8 · Wardhacell 4980001959
distance 0.11
#9 · Wardhacell 4980001868
distance 0.111
#10 · Amravaticell 4680000576
distance 0.115 · cross-district
#11 · Wardhacell 4980001686
distance 0.116
#12 · Amravaticell 4680001663
distance 0.117 · cross-district
#13 · Wardhacell 4980003126
distance 0.121
#14 · Amravaticell 4680001659
distance 0.126 · cross-district
#15 · Amravaticell 4680000633
distance 0.127 · cross-district
#16 · Amravaticell 4680001123
distance 0.127 · cross-district
#17 · Amravaticell 4680000571
distance 0.128 · cross-district
#18 · Wardhacell 4980001313
distance 0.129
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":4980002132}}}'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.