Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700004867
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
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700004344
distance 0.102
#2 · Beedcell 4700004522
distance 0.122
#3 · Beedcell 4700005014
distance 0.142
#4 · Ahmednagarcell 4660004207
distance 0.145 · cross-district
#5 · Beedcell 4700004520
distance 0.152
#6 · Beedcell 4700005032
distance 0.152
#7 · Ahmednagarcell 4660004286
distance 0.155 · cross-district
#8 · Sanglicell 4930006163
distance 0.16 · cross-district
#9 · Beedcell 4700004859
distance 0.162
#10 · Beedcell 4700004352
distance 0.162
#11 · Ahmednagarcell 4660003101
distance 0.166 · cross-district
#12 · Dharashivcell 4880004798
distance 0.169 · cross-district
#13 · Beedcell 4700005030
distance 0.174
#14 · Ahmednagarcell 4660009740
distance 0.175 · cross-district
#15 · Beedcell 4700005636
distance 0.176
#16 · Solapurcell 4960000378
distance 0.177 · cross-district
#17 · Beedcell 4700003844
distance 0.179
#18 · Beedcell 4700000639
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":4700004867}}}'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.