Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940005151
The MH-36 locality cells most similar to this Satara 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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.155
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940004406
distance 0.155
#2 · Solapurcell 4960007268
distance 0.158 · cross-district
#3 · Sataracell 4940004287
distance 0.162
#4 · Solapurcell 4960007133
distance 0.165 · cross-district
#5 · Sataracell 4940006969
distance 0.168
#6 · Ahmednagarcell 4660012862
distance 0.173 · cross-district
#7 · Sataracell 4940004409
distance 0.182
#8 · Sataracell 4940008504
distance 0.191
#9 · Sataracell 4940004905
distance 0.195
#10 · Nashikcell 4870000683
distance 0.197 · cross-district
#11 · Ahmednagarcell 4660013620
distance 0.197 · cross-district
#12 · Sataracell 4940007511
distance 0.198
#13 · Sataracell 4940004542
distance 0.2
#14 · Sataracell 4940006067
distance 0.203
#15 · Sataracell 4940005989
distance 0.203
#16 · Solapurcell 4960007543
distance 0.205 · cross-district
#17 · Sataracell 4940008656
distance 0.206
#18 · Sataracell 4940007253
distance 0.207
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":494,"cluster_id":4940005151}}}'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.