Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980004766
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
0.142
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980004665
distance 0.142
#2 · Wardhacell 4980004764
distance 0.157
#3 · Wardhacell 4980004708
distance 0.168
#4 · Wardhacell 4980004622
distance 0.182
#5 · Amravaticell 4680009077
distance 0.187 · cross-district
#6 · Wardhacell 4980004563
distance 0.188
#7 · Wardhacell 4980001405
distance 0.188
#8 · Wardhacell 4980004380
distance 0.191
#9 · Wardhacell 4980003216
distance 0.194
#10 · Nagpurcell 4840003149
distance 0.199 · cross-district
#11 · Wardhacell 4980000188
distance 0.205
#12 · Wardhacell 4980004707
distance 0.205
#13 · Amravaticell 4680009356
distance 0.205 · cross-district
#14 · Wardhacell 4980004753
distance 0.206
#15 · Yavatmalcell 5000010405
distance 0.207 · cross-district
#16 · Wardhacell 4980004765
distance 0.209
#17 · Nagpurcell 4840004257
distance 0.21 · cross-district
#18 · Yavatmalcell 5000006332
distance 0.21 · 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":4980004766}}}'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.