Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700006637
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.1
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660005175
distance 0.1 · cross-district
#2 · Beedcell 4700004900
distance 0.136
#3 · Beedcell 4700004918
distance 0.137
#4 · Beedcell 4700004730
distance 0.137
#5 · Beedcell 4700006084
distance 0.142
#6 · Beedcell 4700004725
distance 0.151
#7 · Beedcell 4700005082
distance 0.151
#8 · Beedcell 4700005221
distance 0.152
#9 · Beedcell 4700005391
distance 0.153
#10 · Beedcell 4700004049
distance 0.153
#11 · Ahmednagarcell 4660005291
distance 0.158 · cross-district
#12 · Beedcell 4700005220
distance 0.159
#13 · Ahmednagarcell 4660005405
distance 0.165 · cross-district
#14 · Solapurcell 4960012629
distance 0.167 · cross-district
#15 · Ahmednagarcell 4660005289
distance 0.168 · cross-district
#16 · Ahmednagarcell 4660005643
distance 0.169 · cross-district
#17 · Beedcell 4700005084
distance 0.169
#18 · Solapurcell 4960012647
distance 0.17 · 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":4700006637}}}'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.