Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008084
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
0.117
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700008522
distance 0.117
#2 · Jalnacell 4790000666
distance 0.142 · cross-district
#3 · Beedcell 4700008718
distance 0.154
#4 · Jalnacell 4790001408
distance 0.166 · cross-district
#5 · Washimcell 4990001386
distance 0.169 · cross-district
#6 · Beedcell 4700000890
distance 0.171
#7 · Jalnacell 4790000600
distance 0.171 · cross-district
#8 · Beedcell 4700007707
distance 0.173
#9 · Beedcell 4700007812
distance 0.174
#10 · Beedcell 4700008765
distance 0.177
#11 · Beedcell 4700000240
distance 0.178
#12 · Buldhanacell 4720000958
distance 0.178 · cross-district
#13 · Beedcell 4700002221
distance 0.18
#14 · Beedcell 4700007797
distance 0.181
#15 · Beedcell 4700007893
distance 0.181
#16 · Washimcell 4990000758
distance 0.181 · cross-district
#17 · Ahmednagarcell 4660010097
distance 0.181 · cross-district
#18 · Jalnacell 4790000691
distance 0.183 · 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":4700008084}}}'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.