Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002892
The MH-36 locality cells most similar to this Hingoli 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.092
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770003049
distance 0.092
#2 · Hingolicell 4770002893
distance 0.12
#3 · Hingolicell 4770003294
distance 0.191
#4 · Yavatmalcell 5000002112
distance 0.202 · cross-district
#5 · Hingolicell 4770001349
distance 0.222
#6 · Hingolicell 4770003441
distance 0.224
#7 · Parbhanicell 4890005225
distance 0.236 · cross-district
#8 · Hingolicell 4770003440
distance 0.238
#9 · Hingolicell 4770003509
distance 0.241
#10 · Buldhanacell 4720007945
distance 0.268 · cross-district
#11 · Hingolicell 4770002601
distance 0.278
#12 · Hingolicell 4770002133
distance 0.291
#13 · Hingolicell 4770002890
distance 0.292
#14 · Hingolicell 4770002965
distance 0.292
#15 · Hingolicell 4770002887
distance 0.293
#16 · Buldhanacell 4720005635
distance 0.293 · cross-district
#17 · Buldhanacell 4720007946
distance 0.295 · cross-district
#18 · Hingolicell 4770002385
distance 0.296
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":477,"cluster_id":4770002892}}}'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.