Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700006733
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.175
lower = more alike (weighted)
The twins, closest first
#1 · Jalgaoncell 4780001234
distance 0.175 · cross-district
#2 · Parbhanicell 4890000542
distance 0.18 · cross-district
#3 · Beedcell 4700005607
distance 0.186
#4 · Beedcell 4700006851
distance 0.19
#5 · Beedcell 4700004640
distance 0.193
#6 · Beedcell 4700007219
distance 0.195
#7 · Beedcell 4700007206
distance 0.2
#8 · Beedcell 4700007717
distance 0.201
#9 · Beedcell 4700006444
distance 0.201
#10 · Buldhanacell 4720002549
distance 0.203 · cross-district
#11 · Jalnacell 4790002208
distance 0.204 · cross-district
#12 · Parbhanicell 4890003672
distance 0.205 · cross-district
#13 · Parbhanicell 4890003418
distance 0.207 · cross-district
#14 · Jalnacell 4790002888
distance 0.207 · cross-district
#15 · Beedcell 4700004473
distance 0.208
#16 · Beedcell 4700006590
distance 0.208
#17 · Beedcell 4700005310
distance 0.215
#18 · Laturcell 4810001706
distance 0.216 · 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":4700006733}}}'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.