Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700004813
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 6 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006723
distance 0.09
#2 · Beedcell 4700004981
distance 0.122
#3 · Beedcell 4700005309
distance 0.123
#4 · Beedcell 4700008097
distance 0.131
#5 · Laturcell 4810001285
distance 0.132 · cross-district
#6 · Beedcell 4700006452
distance 0.134
#7 · Laturcell 4810001321
distance 0.136 · cross-district
#8 · Beedcell 4700006841
distance 0.14
#9 · Parbhanicell 4890000526
distance 0.143 · cross-district
#10 · Dharashivcell 4880003143
distance 0.143 · cross-district
#11 · Beedcell 4700008668
distance 0.144
#12 · Buldhanacell 4720002610
distance 0.145 · cross-district
#13 · Beedcell 4700008345
distance 0.145
#14 · Beedcell 4700007881
distance 0.145
#15 · Laturcell 4810001981
distance 0.146 · cross-district
#16 · Jalnacell 4790003571
distance 0.149 · cross-district
#17 · Laturcell 4810001282
distance 0.151 · cross-district
#18 · Beedcell 4700000248
distance 0.151
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":4700004813}}}'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.