Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930006015
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 5 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.153
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930004717
distance 0.153
#2 · Dharashivcell 4880005942
distance 0.165 · cross-district
#3 · Dharashivcell 4880005095
distance 0.171 · cross-district
#4 · Sanglicell 4930006369
distance 0.179
#5 · Sanglicell 4930003792
distance 0.19
#6 · Sanglicell 4930004595
distance 0.191
#7 · Sanglicell 4930002248
distance 0.193
#8 · Dharashivcell 4880000474
distance 0.194 · cross-district
#9 · Sanglicell 4930002911
distance 0.199
#10 · Laturcell 4810000873
distance 0.201 · cross-district
#11 · Sanglicell 4930006924
distance 0.202
#12 · Ahmednagarcell 4660000056
distance 0.21 · cross-district
#13 · Sanglicell 4930004558
distance 0.212
#14 · Solapurcell 4960012393
distance 0.215 · cross-district
#15 · Sanglicell 4930004570
distance 0.217
#16 · Sanglicell 4930004809
distance 0.218
#17 · Sanglicell 4930007157
distance 0.22
#18 · Sanglicell 4930002249
distance 0.22
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":4930006015}}}'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.