Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700000430
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
0.138
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005673
distance 0.138
#2 · Beedcell 4700006544
distance 0.145
#3 · Beedcell 4700006667
distance 0.148
#4 · Beedcell 4700003529
distance 0.149
#5 · Beedcell 4700006680
distance 0.155
#6 · Beedcell 4700000651
distance 0.161
#7 · Laturcell 4810001325
distance 0.165 · cross-district
#8 · Beedcell 4700000768
distance 0.168
#9 · Laturcell 4810001153
distance 0.171 · cross-district
#10 · Parbhanicell 4890004103
distance 0.173 · cross-district
#11 · Laturcell 4810001011
distance 0.174 · cross-district
#12 · Laturcell 4810000447
distance 0.174 · cross-district
#13 · Sanglicell 4930001614
distance 0.176 · cross-district
#14 · Beedcell 4700001428
distance 0.178
#15 · Washimcell 4990002107
distance 0.179 · cross-district
#16 · Sanglicell 4930002272
distance 0.18 · cross-district
#17 · Beedcell 4700006520
distance 0.18
#18 · Beedcell 4700001267
distance 0.181
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":4700000430}}}'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.