Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005672
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
0.072
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005958
distance 0.072
#2 · Beedcell 4700006893
distance 0.099
#3 · Beedcell 4700005959
distance 0.111
#4 · Beedcell 4700006115
distance 0.118
#5 · Beedcell 4700006912
distance 0.12
#6 · Beedcell 4700006514
distance 0.127
#7 · Ahmednagarcell 4660001294
distance 0.127 · cross-district
#8 · Beedcell 4700007318
distance 0.135
#9 · Beedcell 4700006913
distance 0.135
#10 · Laturcell 4810000811
distance 0.136 · cross-district
#11 · Beedcell 4700006109
distance 0.139
#12 · Ahmednagarcell 4660000562
distance 0.141 · cross-district
#13 · Beedcell 4700006894
distance 0.142
#14 · Ahmednagarcell 4660001119
distance 0.144 · cross-district
#15 · Ahmednagarcell 4660001118
distance 0.145 · cross-district
#16 · Laturcell 4810000390
distance 0.146 · cross-district
#17 · Beedcell 4700006386
distance 0.146
#18 · Dharashivcell 4880002613
distance 0.146 · 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":4700005672}}}'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.