Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700004608
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.135
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005871
distance 0.135
#2 · Beedcell 4700004961
distance 0.138
#3 · Beedcell 4700005875
distance 0.139
#4 · Dharashivcell 4880000596
distance 0.14 · cross-district
#5 · Beedcell 4700005424
distance 0.148
#6 · Beedcell 4700004660
distance 0.155
#7 · Beedcell 4700001442
distance 0.156
#8 · Beedcell 4700001746
distance 0.158
#9 · Dharashivcell 4880005588
distance 0.158 · cross-district
#10 · Beedcell 4700004267
distance 0.159
#11 · Dharashivcell 4880005494
distance 0.16 · cross-district
#12 · Akolacell 4670001047
distance 0.162 · cross-district
#13 · Parbhanicell 4890000434
distance 0.162 · cross-district
#14 · Beedcell 4700004278
distance 0.164
#15 · Beedcell 4700001598
distance 0.164
#16 · Dharashivcell 4880000627
distance 0.165 · cross-district
#17 · Beedcell 4700001589
distance 0.167
#18 · Dharashivcell 4880005839
distance 0.169 · 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":470,"cluster_id":4700004608}}}'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.