Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001869
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.087
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700001003
distance 0.087
#2 · Beedcell 4700001006
distance 0.114
#3 · Dharashivcell 4880006407
distance 0.121 · cross-district
#4 · Beedcell 4700000874
distance 0.121
#5 · Dharashivcell 4880006376
distance 0.121 · cross-district
#6 · Beedcell 4700001568
distance 0.129
#7 · Beedcell 4700001013
distance 0.131
#8 · Beedcell 4700002529
distance 0.132
#9 · Beedcell 4700000525
distance 0.136
#10 · Beedcell 4700000868
distance 0.137
#11 · Beedcell 4700001870
distance 0.138
#12 · Beedcell 4700000536
distance 0.139
#13 · Dharashivcell 4880006316
distance 0.142 · cross-district
#14 · Dharashivcell 4880000192
distance 0.143 · cross-district
#15 · Dharashivcell 4880002591
distance 0.145 · cross-district
#16 · Dharashivcell 4880000155
distance 0.146 · cross-district
#17 · Dharashivcell 4880006330
distance 0.146 · cross-district
#18 · Beedcell 4700001893
distance 0.147
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":4700001869}}}'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.