Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930004878
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 6 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.137
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930004738
distance 0.137
#2 · Sanglicell 4930006442
distance 0.14
#3 · Sanglicell 4930005258
distance 0.141
#4 · Sanglicell 4930005377
distance 0.142
#5 · Sanglicell 4930004850
distance 0.144
#6 · Sanglicell 4930004873
distance 0.149
#7 · Sanglicell 4930004877
distance 0.162
#8 · Nashikcell 4870011696
distance 0.175 · cross-district
#9 · Ahmednagarcell 4660000592
distance 0.182 · cross-district
#10 · Sanglicell 4930004454
distance 0.184
#11 · Solapurcell 4960001327
distance 0.186 · cross-district
#12 · Sanglicell 4930004595
distance 0.188
#13 · Sanglicell 4930004293
distance 0.189
#14 · Dharashivcell 4880000283
distance 0.189 · cross-district
#15 · Beedcell 4700005999
distance 0.19 · cross-district
#16 · Sanglicell 4930004570
distance 0.191
#17 · Sanglicell 4930004299
distance 0.193
#18 · Dharashivcell 4880004353
distance 0.196 · 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":493,"cluster_id":4930004878}}}'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.