Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900003545
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.354
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900003286
distance 0.354
#2 · Sataracell 4940007532
distance 0.373 · cross-district
#3 · Sataracell 4940008363
distance 0.374 · cross-district
#4 · Sataracell 4940008458
distance 0.379 · cross-district
#5 · Sataracell 4940008347
distance 0.399 · cross-district
#6 · Sataracell 4940008252
distance 0.41 · cross-district
#7 · Punecell 4900005079
distance 0.411
#8 · Punecell 4900003546
distance 0.421
#9 · Sataracell 4940007632
distance 0.423 · cross-district
#10 · Sataracell 4940008350
distance 0.424 · cross-district
#11 · Sataracell 4940007738
distance 0.434 · cross-district
#12 · Punecell 4900003279
distance 0.437
#13 · Punecell 4900003154
distance 0.439
#14 · Punecell 4900000319
distance 0.442
#15 · Punecell 4900000759
distance 0.442
#16 · Punecell 4900012797
distance 0.446
#17 · Punecell 4900002711
distance 0.446
#18 · Punecell 4900003011
distance 0.449
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":4900003545}}}'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.