Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900001472
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.205
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900001601
distance 0.205
#2 · Punecell 4900001995
distance 0.218
#3 · Punecell 4900003461
distance 0.238
#4 · Sanglicell 4930006961
distance 0.239 · cross-district
#5 · Punecell 4900002173
distance 0.241
#6 · Punecell 4900002935
distance 0.242
#7 · Jalgaoncell 4780005154
distance 0.243 · cross-district
#8 · Akolacell 4670000975
distance 0.244 · cross-district
#9 · Punecell 4900002904
distance 0.246
#10 · Punecell 4900004566
distance 0.251
#11 · Sanglicell 4930007179
distance 0.256 · cross-district
#12 · Solapurcell 4960005259
distance 0.258 · cross-district
#13 · Nashikcell 4870005867
distance 0.262 · cross-district
#14 · Punecell 4900004573
distance 0.264
#15 · Sanglicell 4930004879
distance 0.265 · cross-district
#16 · Solapurcell 4960004959
distance 0.266 · cross-district
#17 · Punecell 4900000204
distance 0.267
#18 · Punecell 4900002002
distance 0.27
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":4900001472}}}'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.