Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001788
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
0.255
lower = more alike (weighted)
The twins, closest first
#1 · Nagpurcell 4840005828
distance 0.255 · cross-district
#2 · Hingolicell 4770003294
distance 0.276
#3 · Parbhanicell 4890005017
distance 0.281 · cross-district
#4 · Hingolicell 4770001784
distance 0.285
#5 · Hingolicell 4770001898
distance 0.286
#6 · Hingolicell 4770001902
distance 0.301
#7 · Nagpurcell 4840004574
distance 0.303 · cross-district
#8 · Hingolicell 4770002893
distance 0.304
#9 · Hingolicell 4770002890
distance 0.318
#10 · Hingolicell 4770002601
distance 0.326
#11 · Parbhanicell 4890005417
distance 0.332 · cross-district
#12 · Hingolicell 4770002892
distance 0.345
#13 · Sataracell 4940005318
distance 0.348 · cross-district
#14 · Hingolicell 4770003127
distance 0.349
#15 · Hingolicell 4770002385
distance 0.351
#16 · Hingolicell 4770001789
distance 0.351
#17 · Hingolicell 4770002465
distance 0.353
#18 · Hingolicell 4770002576
distance 0.353
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":4770001788}}}'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.