Bhārata Strata · Maharashtra · Gondia · morphological twins
Places like cell 4760004276
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.195
lower = more alike (weighted)
The twins, closest first
#1 · Gondiacell 4760004034
distance 0.195
#2 · Gondiacell 4760004264
distance 0.208
#3 · Bhandaracell 4710002809
distance 0.228 · cross-district
#4 · Gondiacell 4760003988
distance 0.234
#5 · Gondiacell 4760003845
distance 0.251
#6 · Bhandaracell 4710002509
distance 0.265 · cross-district
#7 · Gondiacell 4760003733
distance 0.268
#8 · Gondiacell 4760003675
distance 0.271
#9 · Bhandaracell 4710002446
distance 0.272 · cross-district
#10 · Gondiacell 4760004179
distance 0.273
#11 · Wardhacell 4980002578
distance 0.274 · cross-district
#12 · Gondiacell 4760004003
distance 0.282
#13 · Bhandaracell 4710003378
distance 0.288 · cross-district
#14 · Gondiacell 4760004093
distance 0.29
#15 · Bhandaracell 4710001647
distance 0.295 · cross-district
#16 · Gondiacell 4760003321
distance 0.298
#17 · Gondiacell 4760000988
distance 0.3
#18 · Gondiacell 4760003893
distance 0.3
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":4760004276}}}'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.