Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700000818
The MH-36 locality cells most similar to this Beed 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700000949
distance 0.12
#2 · Beedcell 4700000707
distance 0.151
#3 · Laturcell 4810002438
distance 0.16 · cross-district
#4 · Beedcell 4700001070
distance 0.16
#5 · Beedcell 4700006557
distance 0.165
#6 · Beedcell 4700001642
distance 0.173
#7 · Dharashivcell 4880005675
distance 0.178 · cross-district
#8 · Beedcell 4700005866
distance 0.181
#9 · Beedcell 4700005989
distance 0.182
#10 · Beedcell 4700004306
distance 0.182
#11 · Laturcell 4810002529
distance 0.187 · cross-district
#12 · Laturcell 4810002170
distance 0.191 · cross-district
#13 · Beedcell 4700000582
distance 0.192
#14 · Washimcell 4990004065
distance 0.193 · cross-district
#15 · Dharashivcell 4880002694
distance 0.193 · cross-district
#16 · Akolacell 4670000825
distance 0.194 · cross-district
#17 · Laturcell 4810004365
distance 0.195 · cross-district
#18 · Beedcell 4700000261
distance 0.196
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":470,"cluster_id":4700000818}}}'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.