Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930006705
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
0.197
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930006555
distance 0.197
#2 · Sanglicell 4930006556
distance 0.199
#3 · Kolhapurcell 4800005220
distance 0.211 · cross-district
#4 · Sataracell 4940006947
distance 0.213 · cross-district
#5 · Sanglicell 4930006629
distance 0.215
#6 · Sanglicell 4930006554
distance 0.218
#7 · Sanglicell 4930005072
distance 0.221
#8 · Sataracell 4940001528
distance 0.222 · cross-district
#9 · Sanglicell 4930006484
distance 0.226
#10 · Sanglicell 4930007056
distance 0.227
#11 · Sanglicell 4930006836
distance 0.227
#12 · Sataracell 4940003028
distance 0.231 · cross-district
#13 · Sanglicell 4930005728
distance 0.232
#14 · Sanglicell 4930006812
distance 0.232
#15 · Sataracell 4940006839
distance 0.235 · cross-district
#16 · Sanglicell 4930006349
distance 0.235
#17 · Sanglicell 4930007118
distance 0.237
#18 · Sataracell 4940004297
distance 0.238 · 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":4930006705}}}'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.