Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940008317
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
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940008318
distance 0.12
#2 · Sataracell 4940008109
distance 0.131
#3 · Sataracell 4940008315
distance 0.134
#4 · Sataracell 4940007698
distance 0.137
#5 · Punecell 4900000677
distance 0.162 · cross-district
#6 · Sataracell 4940007801
distance 0.164
#7 · Punecell 4900001018
distance 0.164 · cross-district
#8 · Sataracell 4940008425
distance 0.169
#9 · Sataracell 4940005213
distance 0.172
#10 · Sataracell 4940008118
distance 0.173
#11 · Sataracell 4940008316
distance 0.177
#12 · Sataracell 4940007385
distance 0.178
#13 · Solapurcell 4960008473
distance 0.18 · cross-district
#14 · Punecell 4900002929
distance 0.181 · cross-district
#15 · Solapurcell 4960009174
distance 0.182 · cross-district
#16 · Sataracell 4940007825
distance 0.183
#17 · Punecell 4900000696
distance 0.184 · cross-district
#18 · Punecell 4900000467
distance 0.184 · 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":494,"cluster_id":4940008317}}}'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.