Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900010259
The MH-36 locality cells most similar to this Pune 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.478
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900005727
distance 0.478
#2 · Punecell 4900007220
distance 0.483
#3 · Punecell 4900006241
distance 0.503
#4 · Punecell 4900005728
distance 0.538
#5 · Punecell 4900012815
distance 0.541
#6 · Punecell 4900007093
distance 0.564
#7 · Nashikcell 4870001467
distance 0.57 · cross-district
#8 · Nashikcell 4870003365
distance 0.588 · cross-district
#9 · Nashikcell 4870002608
distance 0.595 · cross-district
#10 · Punecell 4900006480
distance 0.62
#11 · Ahmednagarcell 4660005035
distance 0.62 · cross-district
#12 · Nashikcell 4870002343
distance 0.629 · cross-district
#13 · Punecell 4900006239
distance 0.647
#14 · Nashikcell 4870003503
distance 0.652 · cross-district
#15 · Nashikcell 4870002505
distance 0.657 · cross-district
#16 · Punecell 4900006967
distance 0.659
#17 · Punecell 4900007217
distance 0.669
#18 · Sataracell 4940004465
distance 0.672 · 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":490,"cluster_id":4900010259}}}'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.