Bhārata Strata · Maharashtra · Ahmednagar · morphological twins
Places like cell 4660010771
The MH-36 locality cells most similar to this Ahmednagar 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.078
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660011096
distance 0.078
#2 · Ahmednagarcell 4660009764
distance 0.092
#3 · Ahmednagarcell 4660010449
distance 0.094
#4 · Ahmednagarcell 4660010264
distance 0.104
#5 · Ahmednagarcell 4660009770
distance 0.11
#6 · Ahmednagarcell 4660011082
distance 0.118
#7 · Ahmednagarcell 4660012065
distance 0.127
#8 · Ahmednagarcell 4660009094
distance 0.137
#9 · Ahmednagarcell 4660009922
distance 0.138
#10 · Ahmednagarcell 4660011554
distance 0.14
#11 · Ahmednagarcell 4660009086
distance 0.142
#12 · Beedcell 4700004171
distance 0.142 · cross-district
#13 · Beedcell 4700003826
distance 0.143 · cross-district
#14 · Ahmednagarcell 4660009408
distance 0.145
#15 · Ahmednagarcell 4660008918
distance 0.145
#16 · Ahmednagarcell 4660009251
distance 0.145
#17 · Beedcell 4700004864
distance 0.146 · cross-district
#18 · Ahmednagarcell 4660010100
distance 0.147
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":466,"cluster_id":4660010771}}}'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.