Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990002813
The MH-36 locality cells most similar to this Washim 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.139
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990003339
distance 0.139
#2 · Washimcell 4990003090
distance 0.14
#3 · Washimcell 4990001408
distance 0.156
#4 · Washimcell 4990000465
distance 0.16
#5 · Nandedcell 4850000162
distance 0.172 · cross-district
#6 · Washimcell 4990003157
distance 0.175
#7 · Washimcell 4990002145
distance 0.187
#8 · Washimcell 4990001774
distance 0.19
#9 · Beedcell 4700003450
distance 0.198 · cross-district
#10 · Washimcell 4990001803
distance 0.201
#11 · Washimcell 4990002812
distance 0.203
#12 · Jalnacell 4790000691
distance 0.206 · cross-district
#13 · Washimcell 4990000766
distance 0.211
#14 · Beedcell 4700004661
distance 0.211 · cross-district
#15 · Laturcell 4810000960
distance 0.212 · cross-district
#16 · Washimcell 4990000697
distance 0.212
#17 · Nandedcell 4850003674
distance 0.212 · cross-district
#18 · Beedcell 4700000188
distance 0.213 · 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":499,"cluster_id":4990002813}}}'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.