Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940007253
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.178
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940008787
distance 0.178
#2 · Sataracell 4940008726
distance 0.184
#3 · Sataracell 4940008656
distance 0.186
#4 · Sataracell 4940008240
distance 0.19
#5 · Sataracell 4940007511
distance 0.193
#6 · Sataracell 4940006818
distance 0.193
#7 · Sataracell 4940006969
distance 0.195
#8 · Sataracell 4940008587
distance 0.202
#9 · Sataracell 4940005151
distance 0.207
#10 · Solapurcell 4960008767
distance 0.208 · cross-district
#11 · Solapurcell 4960008861
distance 0.209 · cross-district
#12 · Sataracell 4940008872
distance 0.211
#13 · Punecell 4900001031
distance 0.212 · cross-district
#14 · Sataracell 4940007403
distance 0.214
#15 · Punecell 4900000590
distance 0.215 · cross-district
#16 · Sataracell 4940008504
distance 0.217
#17 · Ahmednagarcell 4660004527
distance 0.221 · cross-district
#18 · Ahmednagarcell 4660003832
distance 0.222 · 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":4940007253}}}'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.