Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900008507
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.624
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900009606
distance 0.624
#2 · Punecell 4900007334
distance 0.712
#3 · Nashikcell 4870003232
distance 0.76 · cross-district
#4 · Punecell 4900002011
distance 0.764
#5 · Nashikcell 4870003503
distance 0.767 · cross-district
#6 · Punecell 4900006844
distance 0.773
#7 · Punecell 4900009607
distance 0.78
#8 · Nashikcell 4870002418
distance 0.8 · cross-district
#9 · Punecell 4900007456
distance 0.804
#10 · Punecell 4900007220
distance 0.807
#11 · Nashikcell 4870002607
distance 0.808 · cross-district
#12 · Punecell 4900006480
distance 0.824
#13 · Nashikcell 4870002413
distance 0.831 · cross-district
#14 · Punecell 4900006722
distance 0.832
#15 · Nashikcell 4870003094
distance 0.833 · cross-district
#16 · Punecell 4900010259
distance 0.837
#17 · Nashikcell 4870002722
distance 0.838 · cross-district
#18 · Nashikcell 4870002831
distance 0.844 · 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":4900008507}}}'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.