Bhārata Strata · Maharashtra · Latur · morphological twins
Places like cell 4810000002
The MH-36 locality cells most similar to this Latur 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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.23
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000401
distance 0.23 · cross-district
#2 · Dharashivcell 4880001517
distance 0.239 · cross-district
#3 · Laturcell 4810000063
distance 0.24
#4 · Laturcell 4810000312
distance 0.241
#5 · Laturcell 4810000192
distance 0.242
#6 · Beedcell 4700001948
distance 0.244 · cross-district
#7 · Buldhanacell 4720002484
distance 0.245 · cross-district
#8 · Laturcell 4810000172
distance 0.246
#9 · Laturcell 4810000168
distance 0.248
#10 · Laturcell 4810000170
distance 0.248
#11 · Laturcell 4810000055
distance 0.248
#12 · Laturcell 4810000131
distance 0.249
#13 · Dharashivcell 4880001340
distance 0.25 · cross-district
#14 · Dharashivcell 4880001695
distance 0.251 · cross-district
#15 · Washimcell 4990003312
distance 0.252 · cross-district
#16 · Laturcell 4810000354
distance 0.253
#17 · Laturcell 4810000175
distance 0.253
#18 · Laturcell 4810000097
distance 0.255
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":481,"cluster_id":4810000002}}}'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.