Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002431
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
0.155
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002782
distance 0.155
#2 · Sanglicell 4930002440
distance 0.161
#3 · Sanglicell 4930002275
distance 0.171
#4 · Sanglicell 4930002758
distance 0.176
#5 · Beedcell 4700002117
distance 0.179 · cross-district
#6 · Beedcell 4700006519
distance 0.179 · cross-district
#7 · Sanglicell 4930001468
distance 0.179
#8 · Sanglicell 4930002272
distance 0.181
#9 · Beedcell 4700006508
distance 0.182 · cross-district
#10 · Dharashivcell 4880002004
distance 0.182 · cross-district
#11 · Sanglicell 4930003784
distance 0.184
#12 · Sanglicell 4930002776
distance 0.185
#13 · Dharashivcell 4880002443
distance 0.19 · cross-district
#14 · Beedcell 4700006382
distance 0.19 · cross-district
#15 · Sanglicell 4930003954
distance 0.191
#16 · Sanglicell 4930003474
distance 0.191
#17 · Beedcell 4700004978
distance 0.191 · cross-district
#18 · Sanglicell 4930003786
distance 0.192
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":4930002431}}}'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.