Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002640
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.115
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930004164
distance 0.115
#2 · Solapurcell 4960000743
distance 0.16 · cross-district
#3 · Sanglicell 4930003983
distance 0.161
#4 · Sanglicell 4930004165
distance 0.173
#5 · Sanglicell 4930004017
distance 0.18
#6 · Sanglicell 4930003617
distance 0.182
#7 · Sanglicell 4930003490
distance 0.192
#8 · Sanglicell 4930005618
distance 0.195
#9 · Solapurcell 4960000754
distance 0.202 · cross-district
#10 · Sanglicell 4930005941
distance 0.206
#11 · Dharashivcell 4880001246
distance 0.207 · cross-district
#12 · Sanglicell 4930001207
distance 0.208
#13 · Sanglicell 4930003625
distance 0.21
#14 · Solapurcell 4960006709
distance 0.213 · cross-district
#15 · Sanglicell 4930002259
distance 0.214
#16 · Solapurcell 4960000373
distance 0.216 · cross-district
#17 · Sanglicell 4930003667
distance 0.217
#18 · Solapurcell 4960000909
distance 0.217 · 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":4930002640}}}'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.