Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980003482
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
0.204
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002942
distance 0.204
#2 · Wardhacell 4980002939
distance 0.207
#3 · Amravaticell 4680001169
distance 0.227 · cross-district
#4 · Amravaticell 4680001168
distance 0.235 · cross-district
#5 · Yavatmalcell 5000009885
distance 0.241 · cross-district
#6 · Wardhacell 4980002464
distance 0.25
#7 · Wardhacell 4980003208
distance 0.262
#8 · Wardhacell 4980003427
distance 0.267
#9 · Wardhacell 4980001729
distance 0.267
#10 · Wardhacell 4980001359
distance 0.272
#11 · Wardhacell 4980002643
distance 0.273
#12 · Solapurcell 4960009144
distance 0.273 · cross-district
#13 · Wardhacell 4980001543
distance 0.273
#14 · Wardhacell 4980003004
distance 0.292
#15 · Amravaticell 4680004573
distance 0.292 · cross-district
#16 · Wardhacell 4980003081
distance 0.294
#17 · Wardhacell 4980003124
distance 0.295
#18 · Yavatmalcell 5000001745
distance 0.296 · 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":4980003482}}}'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.