Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700006927
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.156
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006926
distance 0.156
#2 · Solapurcell 4960011979
distance 0.162 · cross-district
#3 · Ahmednagarcell 4660001399
distance 0.17 · cross-district
#4 · Beedcell 4700007128
distance 0.171
#5 · Beedcell 4700006676
distance 0.182
#6 · Ahmednagarcell 4660001864
distance 0.182 · cross-district
#7 · Beedcell 4700006670
distance 0.182
#8 · Jalgaoncell 4780000268
distance 0.188 · cross-district
#9 · Beedcell 4700000851
distance 0.188
#10 · Beedcell 4700005691
distance 0.188
#11 · Parbhanicell 4890002568
distance 0.189 · cross-district
#12 · Dharashivcell 4880004940
distance 0.191 · cross-district
#13 · Beedcell 4700007032
distance 0.191
#14 · Beedcell 4700001708
distance 0.195
#15 · Beedcell 4700007116
distance 0.196
#16 · Beedcell 4700007031
distance 0.196
#17 · Beedcell 4700006908
distance 0.196
#18 · Parbhanicell 4890002163
distance 0.202 · 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":4700006927}}}'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.