Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930004204
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.194
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930001384
distance 0.194
#2 · Sataracell 4940000835
distance 0.198 · cross-district
#3 · Sanglicell 4930004507
distance 0.2
#4 · Sanglicell 4930004498
distance 0.212
#5 · Sataracell 4940000119
distance 0.213 · cross-district
#6 · Sanglicell 4930004200
distance 0.226
#7 · Sataracell 4940000326
distance 0.235 · cross-district
#8 · Sanglicell 4930004924
distance 0.236
#9 · Sanglicell 4930001380
distance 0.236
#10 · Ahmednagarcell 4660013653
distance 0.236 · cross-district
#11 · Sanglicell 4930003368
distance 0.236
#12 · Sanglicell 4930001016
distance 0.246
#13 · Sanglicell 4930001526
distance 0.247
#14 · Sanglicell 4930004190
distance 0.247
#15 · Sataracell 4940000081
distance 0.249 · cross-district
#16 · Ahmednagarcell 4660013652
distance 0.254 · cross-district
#17 · Sanglicell 4930004361
distance 0.255
#18 · Sanglicell 4930002167
distance 0.256
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":4930004204}}}'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.