Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940007906
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.128
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940008423
distance 0.128
#2 · Sataracell 4940008324
distance 0.139
#3 · Sataracell 4940008602
distance 0.142
#4 · Punecell 4900000557
distance 0.142 · cross-district
#5 · Sataracell 4940007900
distance 0.162
#6 · Sataracell 4940008671
distance 0.172
#7 · Punecell 4900001040
distance 0.173 · cross-district
#8 · Punecell 4900002792
distance 0.174 · cross-district
#9 · Sataracell 4940008111
distance 0.18
#10 · Sataracell 4940008301
distance 0.184
#11 · Punecell 4900001856
distance 0.188 · cross-district
#12 · Sataracell 4940004352
distance 0.192
#13 · Sataracell 4940006055
distance 0.193
#14 · Punecell 4900000485
distance 0.193 · cross-district
#15 · Solapurcell 4960007789
distance 0.195 · cross-district
#16 · Sataracell 4940008430
distance 0.197
#17 · Solapurcell 4960007783
distance 0.197 · cross-district
#18 · Sataracell 4940007062
distance 0.198
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":4940007906}}}'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.