Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001690
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.182
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001515
distance 0.182
#2 · Hingolicell 4770001870
distance 0.192
#3 · Hingolicell 4770001864
distance 0.208
#4 · Hingolicell 4770001931
distance 0.215
#5 · Hingolicell 4770001805
distance 0.217
#6 · Akolacell 4670004071
distance 0.232 · cross-district
#7 · Hingolicell 4770003042
distance 0.235
#8 · Hingolicell 4770001810
distance 0.25
#9 · Buldhanacell 4720007578
distance 0.251 · cross-district
#10 · Hingolicell 4770001926
distance 0.253
#11 · Amravaticell 4680003257
distance 0.256 · cross-district
#12 · Hingolicell 4770002187
distance 0.261
#13 · Hingolicell 4770001745
distance 0.264
#14 · Hingolicell 4770002248
distance 0.264
#15 · Washimcell 4990003590
distance 0.264 · cross-district
#16 · Parbhanicell 4890005051
distance 0.265 · cross-district
#17 · Hingolicell 4770000865
distance 0.268
#18 · Hingolicell 4770002956
distance 0.268
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":4770001690}}}'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.