Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930004675
The MH-36 locality cells most similar to this Sangli 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.138
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930004815
distance 0.138
#2 · Sanglicell 4930004083
distance 0.141
#3 · Sanglicell 4930004814
distance 0.143
#4 · Sanglicell 4930004828
distance 0.145
#5 · Dharashivcell 4880000371
distance 0.152 · cross-district
#6 · Solapurcell 4960006818
distance 0.163 · cross-district
#7 · Sanglicell 4930004688
distance 0.167
#8 · Sanglicell 4930006431
distance 0.173
#9 · Sanglicell 4930001723
distance 0.185
#10 · Solapurcell 4960002992
distance 0.186 · cross-district
#11 · Sanglicell 4930005525
distance 0.188
#12 · Sanglicell 4930004402
distance 0.189
#13 · Buldhanacell 4720002060
distance 0.191 · cross-district
#14 · Sanglicell 4930006235
distance 0.191
#15 · Sanglicell 4930001426
distance 0.192
#16 · Dharashivcell 4880004082
distance 0.193 · cross-district
#17 · Solapurcell 4960008094
distance 0.194 · cross-district
#18 · Sanglicell 4930004674
distance 0.195
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":493,"cluster_id":4930004675}}}'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.