Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002112
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
0.081
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770002513
distance 0.081
#2 · Hingolicell 4770002949
distance 0.201
#3 · Hingolicell 4770002243
distance 0.29
#4 · Akolacell 4670004051
distance 0.292 · cross-district
#5 · Hingolicell 4770002240
distance 0.296
#6 · Hingolicell 4770003426
distance 0.299
#7 · Hingolicell 4770002655
distance 0.303
#8 · Hingolicell 4770003261
distance 0.309
#9 · Nagpurcell 4840004004
distance 0.309 · cross-district
#10 · Hingolicell 4770002443
distance 0.315
#11 · Hingolicell 4770002808
distance 0.315
#12 · Hingolicell 4770003125
distance 0.319
#13 · Amravaticell 4680004623
distance 0.325 · cross-district
#14 · Parbhanicell 4890004805
distance 0.331 · cross-district
#15 · Hingolicell 4770003036
distance 0.335
#16 · Hingolicell 4770000531
distance 0.337
#17 · Hingolicell 4770002963
distance 0.338
#18 · Yavatmalcell 5000004491
distance 0.34 · 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":4770002112}}}'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.