Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001896
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.158
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002410
distance 0.158
#2 · Wardhacell 4980001435
distance 0.181
#3 · Wardhacell 4980002539
distance 0.182
#4 · Wardhacell 4980003138
distance 0.19
#5 · Wardhacell 4980003392
distance 0.202
#6 · Wardhacell 4980002970
distance 0.203
#7 · Wardhacell 4980002572
distance 0.204
#8 · Amravaticell 4680001409
distance 0.206 · cross-district
#9 · Yavatmalcell 5000006859
distance 0.215 · cross-district
#10 · Yavatmalcell 5000007352
distance 0.228 · cross-district
#11 · Wardhacell 4980002237
distance 0.232
#12 · Wardhacell 4980002473
distance 0.236
#13 · Nagpurcell 4840003651
distance 0.237 · cross-district
#14 · Wardhacell 4980001179
distance 0.238
#15 · Wardhacell 4980003159
distance 0.239
#16 · Wardhacell 4980002594
distance 0.242
#17 · Jalnacell 4790004535
distance 0.243 · cross-district
#18 · Amravaticell 4680004081
distance 0.245 · 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":4980001896}}}'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.