Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000994
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
0.246
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900000872
distance 0.246
#2 · Punecell 4900000646
distance 0.249
#3 · Punecell 4900000548
distance 0.257
#4 · Punecell 4900000753
distance 0.27
#5 · Sataracell 4940008055
distance 0.283 · cross-district
#6 · Punecell 4900000752
distance 0.283
#7 · Sataracell 4940007534
distance 0.288 · cross-district
#8 · Punecell 4900012389
distance 0.3
#9 · Punecell 4900000384
distance 0.304
#10 · Sataracell 4940006891
distance 0.308 · cross-district
#11 · Punecell 4900012529
distance 0.309
#12 · Sataracell 4940007954
distance 0.315 · cross-district
#13 · Sataracell 4940007011
distance 0.315 · cross-district
#14 · Sataracell 4940008381
distance 0.316 · cross-district
#15 · Sataracell 4940006798
distance 0.32 · cross-district
#16 · Sataracell 4940006784
distance 0.32 · cross-district
#17 · Punecell 4900013155
distance 0.322
#18 · Punecell 4900004108
distance 0.322
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":4900000994}}}'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.