Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900013070
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.206
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900013103
distance 0.206
#2 · Punecell 4900012769
distance 0.246
#3 · Punecell 4900012337
distance 0.287
#4 · Punecell 4900012481
distance 0.319
#5 · Nashikcell 4870003654
distance 0.357 · cross-district
#6 · Nashikcell 4870002496
distance 0.358 · cross-district
#7 · Punecell 4900012631
distance 0.36
#8 · Punecell 4900012747
distance 0.375
#9 · Sataracell 4940008173
distance 0.375 · cross-district
#10 · Nashikcell 4870003510
distance 0.381 · cross-district
#11 · Nashikcell 4870003779
distance 0.383 · cross-district
#12 · Punecell 4900010781
distance 0.384
#13 · Punecell 4900013071
distance 0.387
#14 · Sataracell 4940007545
distance 0.388 · cross-district
#15 · Punecell 4900011464
distance 0.39
#16 · Nashikcell 4870001469
distance 0.39 · cross-district
#17 · Nashikcell 4870003507
distance 0.397 · cross-district
#18 · Punecell 4900006145
distance 0.401
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":4900013070}}}'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.