Bhārata Strata · Maharashtra · Ahmednagar · morphological twins
Places like cell 4660004584
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
0.147
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006990
distance 0.147 · cross-district
#2 · Ahmednagarcell 4660004922
distance 0.162
#3 · Ahmednagarcell 4660003562
distance 0.17
#4 · Ahmednagarcell 4660003571
distance 0.175
#5 · Ahmednagarcell 4660004393
distance 0.178
#6 · Ahmednagarcell 4660005668
distance 0.181
#7 · Ahmednagarcell 4660007911
distance 0.182
#8 · Beedcell 4700003058
distance 0.182 · cross-district
#9 · Ahmednagarcell 4660002275
distance 0.185
#10 · Ahmednagarcell 4660003796
distance 0.187
#11 · Ahmednagarcell 4660007760
distance 0.187
#12 · Ahmednagarcell 4660003620
distance 0.188
#13 · Ahmednagarcell 4660003870
distance 0.188
#14 · Ahmednagarcell 4660002894
distance 0.189
#15 · Ahmednagarcell 4660002472
distance 0.19
#16 · Ahmednagarcell 4660004231
distance 0.19
#17 · Ahmednagarcell 4660004498
distance 0.19
#18 · Beedcell 4700005914
distance 0.191 · 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":466,"cluster_id":4660004584}}}'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.