Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003737
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.233
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930003559
distance 0.233
#2 · Sanglicell 4930003926
distance 0.251
#3 · Ahmednagarcell 4660009222
distance 0.252 · cross-district
#4 · Ahmednagarcell 4660011884
distance 0.256 · cross-district
#5 · Sanglicell 4930002219
distance 0.277
#6 · Sanglicell 4930003731
distance 0.282
#7 · Sanglicell 4930000299
distance 0.295
#8 · Sanglicell 4930001911
distance 0.3
#9 · Sanglicell 4930002770
distance 0.303
#10 · Sanglicell 4930001401
distance 0.304
#11 · Dharashivcell 4880004928
distance 0.308 · cross-district
#12 · Sanglicell 4930001026
distance 0.309
#13 · Nashikcell 4870003703
distance 0.313 · cross-district
#14 · Solapurcell 4960004389
distance 0.32 · cross-district
#15 · Sanglicell 4930002390
distance 0.323
#16 · Dharashivcell 4880000391
distance 0.324 · cross-district
#17 · Sanglicell 4930002194
distance 0.325
#18 · Sanglicell 4930000160
distance 0.329
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":4930003737}}}'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.