Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980003404
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 7 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.123
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980003220
distance 0.123
#2 · Wardhacell 4980003112
distance 0.127
#3 · Wardhacell 4980002854
distance 0.132
#4 · Wardhacell 4980002794
distance 0.157
#5 · Wardhacell 4980002270
distance 0.166
#6 · Wardhacell 4980003111
distance 0.168
#7 · Wardhacell 4980003057
distance 0.186
#8 · Yavatmalcell 5000008656
distance 0.192 · cross-district
#9 · Wardhacell 4980000570
distance 0.199
#10 · Solapurcell 4960002432
distance 0.2 · cross-district
#11 · Amravaticell 4680002522
distance 0.209 · cross-district
#12 · Wardhacell 4980001386
distance 0.21
#13 · Nandedcell 4850008968
distance 0.212 · cross-district
#14 · Wardhacell 4980003873
distance 0.212
#15 · Wardhacell 4980000474
distance 0.213
#16 · Jalgaoncell 4780001840
distance 0.214 · cross-district
#17 · Buldhanacell 4720000800
distance 0.217 · cross-district
#18 · Wardhacell 4980002505
distance 0.217
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":4980003404}}}'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.