Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002621
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.132
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890005175
distance 0.132 · cross-district
#2 · Hingolicell 4770002761
distance 0.172
#3 · Hingolicell 4770002990
distance 0.182
#4 · Hingolicell 4770002212
distance 0.186
#5 · Hingolicell 4770002762
distance 0.198
#6 · Hingolicell 4770002479
distance 0.201
#7 · Parbhanicell 4890005207
distance 0.203 · cross-district
#8 · Hingolicell 4770002342
distance 0.204
#9 · Hingolicell 4770002679
distance 0.205
#10 · Hingolicell 4770002612
distance 0.208
#11 · Hingolicell 4770002417
distance 0.216
#12 · Hingolicell 4770002984
distance 0.22
#13 · Parbhanicell 4890004968
distance 0.221 · cross-district
#14 · Hingolicell 4770002279
distance 0.221
#15 · Amravaticell 4680007418
distance 0.221 · cross-district
#16 · Hingolicell 4770002683
distance 0.222
#17 · Parbhanicell 4890005097
distance 0.224 · cross-district
#18 · Hingolicell 4770003306
distance 0.225
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":4770002621}}}'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.