Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003521
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 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.163
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930003169
distance 0.163
#2 · Sanglicell 4930002822
distance 0.178
#3 · Sanglicell 4930001356
distance 0.244
#4 · Sanglicell 4930003686
distance 0.247
#5 · Sanglicell 4930003694
distance 0.249
#6 · Sanglicell 4930002650
distance 0.253
#7 · Sataracell 4940000010
distance 0.256 · cross-district
#8 · Kolhapurcell 4800006257
distance 0.261 · cross-district
#9 · Sataracell 4940000000
distance 0.269 · cross-district
#10 · Kolhapurcell 4800006044
distance 0.271 · cross-district
#11 · Sanglicell 4930003865
distance 0.274
#12 · Nandurbarcell 4860004292
distance 0.276 · cross-district
#13 · Sanglicell 4930002484
distance 0.278
#14 · Sanglicell 4930002480
distance 0.281
#15 · Sanglicell 4930003854
distance 0.283
#16 · Sanglicell 4930002985
distance 0.287
#17 · Kolhapurcell 4800005993
distance 0.288 · cross-district
#18 · Sanglicell 4930002996
distance 0.289
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":4930003521}}}'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.