Bhārata Strata · Maharashtra · Ahmednagar · morphological twins
Places like cell 4660010596
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
0.106
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660011259
distance 0.106
#2 · Ahmednagarcell 4660005116
distance 0.139
#3 · Ahmednagarcell 4660012062
distance 0.141
#4 · Ahmednagarcell 4660011904
distance 0.142
#5 · Ahmednagarcell 4660009096
distance 0.143
#6 · Ahmednagarcell 4660010585
distance 0.144
#7 · Ahmednagarcell 4660009262
distance 0.145
#8 · Ahmednagarcell 4660009095
distance 0.157
#9 · Ahmednagarcell 4660011075
distance 0.163
#10 · Ahmednagarcell 4660004279
distance 0.166
#11 · Ahmednagarcell 4660011234
distance 0.167
#12 · Ahmednagarcell 4660003690
distance 0.169
#13 · Ahmednagarcell 4660005018
distance 0.17
#14 · Ahmednagarcell 4660011235
distance 0.17
#15 · Ahmednagarcell 4660011878
distance 0.171
#16 · Chhatrapati Sambhajinagarcell 4690004244
distance 0.171 · cross-district
#17 · Ahmednagarcell 4660008888
distance 0.172
#18 · Ahmednagarcell 4660010943
distance 0.172
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":4660010596}}}'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.