Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005804
The MH-36 locality cells most similar to this Beed 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.198
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006653
distance 0.198
#2 · Beedcell 4700005381
distance 0.22
#3 · Beedcell 4700005380
distance 0.22
#4 · Dhulecell 4740001776
distance 0.229 · cross-district
#5 · Sanglicell 4930002740
distance 0.23 · cross-district
#6 · Beedcell 4700007125
distance 0.232
#7 · Beedcell 4700008145
distance 0.234
#8 · Sanglicell 4930002602
distance 0.237 · cross-district
#9 · Sanglicell 4930001748
distance 0.237 · cross-district
#10 · Ahmednagarcell 4660001384
distance 0.238 · cross-district
#11 · Sanglicell 4930001912
distance 0.24 · cross-district
#12 · Sanglicell 4930000874
distance 0.241 · cross-district
#13 · Beedcell 4700006248
distance 0.242
#14 · Beedcell 4700005529
distance 0.242
#15 · Ahmednagarcell 4660001305
distance 0.243 · cross-district
#16 · Beedcell 4700004929
distance 0.246
#17 · Beedcell 4700005943
distance 0.246
#18 · Beedcell 4700006658
distance 0.247
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":470,"cluster_id":4700005804}}}'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.