Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001870
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.06
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980001684
distance 0.06
#2 · Wardhacell 4980001686
distance 0.068
#3 · Wardhacell 4980002132
distance 0.07
#4 · Wardhacell 4980002134
distance 0.072
#5 · Wardhacell 4980001958
distance 0.078
#6 · Wardhacell 4980001868
distance 0.082
#7 · Wardhacell 4980003126
distance 0.088
#8 · Wardhacell 4980001685
distance 0.09
#9 · Wardhacell 4980003246
distance 0.094
#10 · Wardhacell 4980002047
distance 0.097
#11 · Amravaticell 4680001659
distance 0.107 · cross-district
#12 · Amravaticell 4680000571
distance 0.107 · cross-district
#13 · Amravaticell 4680001663
distance 0.111 · cross-district
#14 · Yavatmalcell 5000011600
distance 0.111 · cross-district
#15 · Amravaticell 4680000648
distance 0.112 · cross-district
#16 · Wardhacell 4980001407
distance 0.112
#17 · Amravaticell 4680000576
distance 0.113 · cross-district
#18 · Wardhacell 4980002392
distance 0.113
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":4980001870}}}'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.