Bhārata Strata · Maharashtra · Gondia · morphological twins
Places like cell 4760004124
The MH-36 locality cells most similar to this Gondia 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.229
lower = more alike (weighted)
The twins, closest first
#1 · Gondiacell 4760004214
distance 0.229
#2 · Gondiacell 4760004423
distance 0.244
#3 · Bhandaracell 4710003535
distance 0.248 · cross-district
#4 · Gondiacell 4760004374
distance 0.254
#5 · Gondiacell 4760003831
distance 0.289
#6 · Gondiacell 4760004341
distance 0.291
#7 · Gondiacell 4760002069
distance 0.297
#8 · Gondiacell 4760003777
distance 0.299
#9 · Gondiacell 4760002996
distance 0.301
#10 · Gondiacell 4760002039
distance 0.314
#11 · Bhandaracell 4710003487
distance 0.318 · cross-district
#12 · Gondiacell 4760001856
distance 0.32
#13 · Gondiacell 4760004462
distance 0.322
#14 · Bhandaracell 4710003536
distance 0.322 · cross-district
#15 · Bhandaracell 4710002449
distance 0.323 · cross-district
#16 · Gondiacell 4760004078
distance 0.323
#17 · Bhandaracell 4710003411
distance 0.331 · cross-district
#18 · Bhandaracell 4710001492
distance 0.331 · 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":476,"cluster_id":4760004124}}}'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.