Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001088
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.039
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001029
distance 0.039
#2 · Hingolicell 4770001206
distance 0.044
#3 · Hingolicell 4770001556
distance 0.045
#4 · Hingolicell 4770001321
distance 0.07
#5 · Nandedcell 4850007391
distance 0.071 · cross-district
#6 · Hingolicell 4770001385
distance 0.071
#7 · Hingolicell 4770000963
distance 0.072
#8 · Nandedcell 4850007186
distance 0.073 · cross-district
#9 · Nandedcell 4850006590
distance 0.08 · cross-district
#10 · Hingolicell 4770001557
distance 0.08
#11 · Hingolicell 4770001384
distance 0.08
#12 · Hingolicell 4770001021
distance 0.084
#13 · Hingolicell 4770000781
distance 0.086
#14 · Nandedcell 4850007257
distance 0.088 · cross-district
#15 · Hingolicell 4770001026
distance 0.088
#16 · Hingolicell 4770001020
distance 0.091
#17 · Nandedcell 4850006591
distance 0.093 · cross-district
#18 · Nandedcell 4850007042
distance 0.095 · 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":4770001088}}}'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.