Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000856
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
0.153
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900000857
distance 0.153
#2 · Punecell 4900000304
distance 0.174
#3 · Sataracell 4940007622
distance 0.179 · cross-district
#4 · Sataracell 4940008242
distance 0.185 · cross-district
#5 · Punecell 4900000443
distance 0.188
#6 · Punecell 4900000629
distance 0.192
#7 · Punecell 4900000363
distance 0.193
#8 · Punecell 4900000364
distance 0.206
#9 · Punecell 4900000440
distance 0.223
#10 · Punecell 4900000980
distance 0.232
#11 · Sataracell 4940008042
distance 0.235 · cross-district
#12 · Sataracell 4940007837
distance 0.243 · cross-district
#13 · Sataracell 4940007836
distance 0.249 · cross-district
#14 · Punecell 4900000999
distance 0.252
#15 · Punecell 4900000641
distance 0.253
#16 · Sataracell 4940007933
distance 0.259 · cross-district
#17 · Sataracell 4940006764
distance 0.259 · cross-district
#18 · Sataracell 4940006763
distance 0.26 · 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":4900000856}}}'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.