Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900006083
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.215
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900006207
distance 0.215
#2 · Punecell 4900007292
distance 0.224
#3 · Punecell 4900007545
distance 0.232
#4 · Punecell 4900004609
distance 0.234
#5 · Raigadcell 4910000987
distance 0.248 · cross-district
#6 · Raigadcell 4910001182
distance 0.261 · cross-district
#7 · Raigadcell 4910001187
distance 0.278 · cross-district
#8 · Punecell 4900002067
distance 0.281
#9 · Punecell 4900003924
distance 0.284
#10 · Raigadcell 4910001194
distance 0.289 · cross-district
#11 · Raigadcell 4910001130
distance 0.292 · cross-district
#12 · Raigadcell 4910001624
distance 0.297 · cross-district
#13 · Punecell 4900004889
distance 0.301
#14 · Punecell 4900003923
distance 0.303
#15 · Raigadcell 4910001052
distance 0.303 · cross-district
#16 · Punecell 4900002525
distance 0.304
#17 · Raigadcell 4910001195
distance 0.312 · cross-district
#18 · Punecell 4900004604
distance 0.312
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":4900006083}}}'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.