Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900012266
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 4 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.36
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900013107
distance 0.36
#2 · Punecell 4900011399
distance 0.373
#3 · Punecell 4900012702
distance 0.425
#4 · Sataracell 4940008574
distance 0.443 · cross-district
#5 · Punecell 4900001444
distance 0.449
#6 · Punecell 4900010017
distance 0.453
#7 · Nashikcell 4870003646
distance 0.457 · cross-district
#8 · Punecell 4900008059
distance 0.459
#9 · Nashikcell 4870010011
distance 0.464 · cross-district
#10 · Sataracell 4940008638
distance 0.473 · cross-district
#11 · Nashikcell 4870002845
distance 0.479 · cross-district
#12 · Punecell 4900001858
distance 0.482
#13 · Nashikcell 4870005412
distance 0.487 · cross-district
#14 · Punecell 4900009917
distance 0.488
#15 · Punecell 4900008731
distance 0.5
#16 · Nashikcell 4870003229
distance 0.505 · cross-district
#17 · Punecell 4900009292
distance 0.505
#18 · Ahmednagarcell 4660012172
distance 0.509 · 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":4900012266}}}'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.