Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005485
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
0.089
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005483
distance 0.089
#2 · Beedcell 4700004165
distance 0.122
#3 · Beedcell 4700005019
distance 0.145
#4 · Beedcell 4700004868
distance 0.149
#5 · Beedcell 4700004697
distance 0.151
#6 · Ahmednagarcell 4660004443
distance 0.152 · cross-district
#7 · Beedcell 4700003657
distance 0.157
#8 · Ahmednagarcell 4660004448
distance 0.165 · cross-district
#9 · Beedcell 4700005179
distance 0.166
#10 · Beedcell 4700003999
distance 0.167
#11 · Beedcell 4700006747
distance 0.169
#12 · Ahmednagarcell 4660004282
distance 0.17 · cross-district
#13 · Solapurcell 4960012247
distance 0.173 · cross-district
#14 · Beedcell 4700006195
distance 0.174
#15 · Ahmednagarcell 4660004528
distance 0.174 · cross-district
#16 · Solapurcell 4960000209
distance 0.174 · cross-district
#17 · Beedcell 4700004169
distance 0.174
#18 · Solapurcell 4960000213
distance 0.176 · 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":4700005485}}}'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.