Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700007997
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.106
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700007617
distance 0.106
#2 · Jalnacell 4790003730
distance 0.108 · cross-district
#3 · Beedcell 4700008258
distance 0.13
#4 · Jalnacell 4790002541
distance 0.134 · cross-district
#5 · Beedcell 4700007700
distance 0.139
#6 · Jalnacell 4790003989
distance 0.141 · cross-district
#7 · Jalnacell 4790003999
distance 0.145 · cross-district
#8 · Jalnacell 4790003388
distance 0.146 · cross-district
#9 · Beedcell 4700007518
distance 0.151
#10 · Beedcell 4700000214
distance 0.151
#11 · Beedcell 4700000661
distance 0.153
#12 · Beedcell 4700008268
distance 0.153
#13 · Beedcell 4700007796
distance 0.154
#14 · Jalnacell 4790003811
distance 0.154 · cross-district
#15 · Jalnacell 4790003745
distance 0.156 · cross-district
#16 · Jalnacell 4790003904
distance 0.157 · cross-district
#17 · Beedcell 4700000206
distance 0.159
#18 · Beedcell 4700000480
distance 0.159
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":4700007997}}}'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.