Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700003563
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.158
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880006371
distance 0.158 · cross-district
#2 · Dharashivcell 4880006430
distance 0.17 · cross-district
#3 · Beedcell 4700003045
distance 0.171
#4 · Beedcell 4700001565
distance 0.173
#5 · Beedcell 4700001575
distance 0.179
#6 · Ahmednagarcell 4660001391
distance 0.186 · cross-district
#7 · Beedcell 4700000871
distance 0.189
#8 · Beedcell 4700000862
distance 0.191
#9 · Beedcell 4700001132
distance 0.191
#10 · Beedcell 4700002877
distance 0.191
#11 · Beedcell 4700003216
distance 0.193
#12 · Beedcell 4700003564
distance 0.196
#13 · Solapurcell 4960000598
distance 0.196 · cross-district
#14 · Dharashivcell 4880005324
distance 0.196 · cross-district
#15 · Dharashivcell 4880004940
distance 0.196 · cross-district
#16 · Jalgaoncell 4780000390
distance 0.198 · cross-district
#17 · Beedcell 4700000300
distance 0.2
#18 · Beedcell 4700000979
distance 0.201
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":4700003563}}}'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.