Bhārata Strata · Maharashtra · Ahmednagar · morphological twins
Places like cell 4660010774
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
0.084
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660010773
distance 0.084
#2 · Ahmednagarcell 4660011097
distance 0.097
#3 · Ahmednagarcell 4660012056
distance 0.101
#4 · Ahmednagarcell 4660009768
distance 0.118
#5 · Ahmednagarcell 4660009268
distance 0.123
#6 · Ahmednagarcell 4660012204
distance 0.125
#7 · Ahmednagarcell 4660012045
distance 0.127
#8 · Ahmednagarcell 4660009601
distance 0.129
#9 · Ahmednagarcell 4660010105
distance 0.13
#10 · Ahmednagarcell 4660009264
distance 0.132
#11 · Ahmednagarcell 4660009230
distance 0.132
#12 · Ahmednagarcell 4660012675
distance 0.133
#13 · Ahmednagarcell 4660010429
distance 0.135
#14 · Ahmednagarcell 4660012679
distance 0.135
#15 · Ahmednagarcell 4660009937
distance 0.136
#16 · Ahmednagarcell 4660012205
distance 0.136
#17 · Chhatrapati Sambhajinagarcell 4690000384
distance 0.137 · cross-district
#18 · Ahmednagarcell 4660011429
distance 0.138
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":4660010774}}}'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.