Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700003341
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
0.091
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700003331
distance 0.091
#2 · Beedcell 4700001237
distance 0.114
#3 · Ahmednagarcell 4660002103
distance 0.114 · cross-district
#4 · Beedcell 4700001669
distance 0.151
#5 · Ahmednagarcell 4660001481
distance 0.153 · cross-district
#6 · Ahmednagarcell 4660001495
distance 0.155 · cross-district
#7 · Beedcell 4700000842
distance 0.157
#8 · Beedcell 4700001519
distance 0.159
#9 · Beedcell 4700000843
distance 0.162
#10 · Beedcell 4700001978
distance 0.168
#11 · Beedcell 4700001667
distance 0.169
#12 · Solapurcell 4960012569
distance 0.173 · cross-district
#13 · Beedcell 4700002805
distance 0.174
#14 · Solapurcell 4960012528
distance 0.176 · cross-district
#15 · Beedcell 4700000614
distance 0.177
#16 · Solapurcell 4960005332
distance 0.178 · cross-district
#17 · Solapurcell 4960005343
distance 0.178 · cross-district
#18 · Beedcell 4700001230
distance 0.179
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":4700003341}}}'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.