Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700002687
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
0.148
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700001555
distance 0.148
#2 · Beedcell 4700001708
distance 0.155
#3 · Beedcell 4700000989
distance 0.159
#4 · Beedcell 4700001557
distance 0.168
#5 · Beedcell 4700000733
distance 0.171
#6 · Beedcell 4700002190
distance 0.174
#7 · Beedcell 4700000734
distance 0.175
#8 · Dharashivcell 4880001065
distance 0.177 · cross-district
#9 · Beedcell 4700002526
distance 0.181
#10 · Beedcell 4700001556
distance 0.188
#11 · Sanglicell 4930003789
distance 0.196 · cross-district
#12 · Beedcell 4700002684
distance 0.199
#13 · Beedcell 4700002035
distance 0.204
#14 · Ahmednagarcell 4660000948
distance 0.204 · cross-district
#15 · Dharashivcell 4880000492
distance 0.205 · cross-district
#16 · Ahmednagarcell 4660001295
distance 0.208 · cross-district
#17 · Ahmednagarcell 4660000826
distance 0.209 · cross-district
#18 · Dharashivcell 4880000424
distance 0.212 · 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":4700002687}}}'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.