Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002682
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
0.239
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002681
distance 0.239
#2 · Sanglicell 4930001244
distance 0.309
#3 · Sanglicell 4930003545
distance 0.326
#4 · Sanglicell 4930003186
distance 0.331
#5 · Sanglicell 4930003539
distance 0.35
#6 · Sanglicell 4930002511
distance 0.383
#7 · Sanglicell 4930002154
distance 0.392
#8 · Jalgaoncell 4780009407
distance 0.396 · cross-district
#9 · Sanglicell 4930002336
distance 0.397
#10 · Sanglicell 4930003867
distance 0.402
#11 · Sanglicell 4930003543
distance 0.407
#12 · Sanglicell 4930003883
distance 0.41
#13 · Jalgaoncell 4780009408
distance 0.415 · cross-district
#14 · Sanglicell 4930002342
distance 0.416
#15 · Ahmednagarcell 4660014236
distance 0.416 · cross-district
#16 · Sataracell 4940003905
distance 0.419 · cross-district
#17 · Nandurbarcell 4860002308
distance 0.419 · cross-district
#18 · Nagpurcell 4840004038
distance 0.42 · 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":4930002682}}}'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.