Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002240
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
0.131
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770002443
distance 0.131
#2 · Hingolicell 4770002243
distance 0.185
#3 · Hingolicell 4770003426
distance 0.185
#4 · Hingolicell 4770002375
distance 0.187
#5 · Hingolicell 4770002655
distance 0.209
#6 · Hingolicell 4770002808
distance 0.215
#7 · Hingolicell 4770003026
distance 0.234
#8 · Hingolicell 4770003125
distance 0.237
#9 · Hingolicell 4770002963
distance 0.24
#10 · Hingolicell 4770002809
distance 0.248
#11 · Hingolicell 4770003036
distance 0.252
#12 · Hingolicell 4770002245
distance 0.254
#13 · Buldhanacell 4720004297
distance 0.257 · cross-district
#14 · Buldhanacell 4720003166
distance 0.261 · cross-district
#15 · Buldhanacell 4720004149
distance 0.262 · cross-district
#16 · Hingolicell 4770000531
distance 0.263
#17 · Washimcell 4990004275
distance 0.263 · cross-district
#18 · Parbhanicell 4890004604
distance 0.269 · 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":477,"cluster_id":4770002240}}}'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.