Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980003150
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 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.184
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980003437
distance 0.184
#2 · Nagpurcell 4840001610
distance 0.188 · cross-district
#3 · Wardhacell 4980000960
distance 0.189
#4 · Amravaticell 4680001182
distance 0.191 · cross-district
#5 · Wardhacell 4980003393
distance 0.196
#6 · Wardhacell 4980002830
distance 0.199
#7 · Wardhacell 4980003092
distance 0.203
#8 · Wardhacell 4980003117
distance 0.204
#9 · Wardhacell 4980001315
distance 0.205
#10 · Wardhacell 4980000250
distance 0.206
#11 · Wardhacell 4980000115
distance 0.207
#12 · Yavatmalcell 5000009366
distance 0.207 · cross-district
#13 · Nagpurcell 4840001190
distance 0.207 · cross-district
#14 · Wardhacell 4980002390
distance 0.208
#15 · Yavatmalcell 5000006376
distance 0.208 · cross-district
#16 · Yavatmalcell 5000006985
distance 0.209 · cross-district
#17 · Wardhacell 4980000509
distance 0.209
#18 · Wardhacell 4980002394
distance 0.21
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":4980003150}}}'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.