Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900011138
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.192
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900011047
distance 0.192
#2 · Ahmednagarcell 4660004383
distance 0.338 · cross-district
#3 · Ahmednagarcell 4660004462
distance 0.347 · cross-district
#4 · Punecell 4900010105
distance 0.353
#5 · Punecell 4900003539
distance 0.366
#6 · Punecell 4900008846
distance 0.37
#7 · Punecell 4900009499
distance 0.376
#8 · Punecell 4900007854
distance 0.377
#9 · Punecell 4900005886
distance 0.379
#10 · Punecell 4900008175
distance 0.384
#11 · Nashikcell 4870003630
distance 0.384 · cross-district
#12 · Punecell 4900008184
distance 0.388
#13 · Solapurcell 4960007013
distance 0.393 · cross-district
#14 · Ahmednagarcell 4660007736
distance 0.394 · cross-district
#15 · Punecell 4900011490
distance 0.399
#16 · Ahmednagarcell 4660004000
distance 0.4 · cross-district
#17 · Ahmednagarcell 4660003729
distance 0.406 · cross-district
#18 · Punecell 4900010555
distance 0.406
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":4900011138}}}'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.