Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900005150
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.214
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910002467
distance 0.214 · cross-district
#2 · Punecell 4900005283
distance 0.235
#3 · Raigadcell 4910002715
distance 0.319 · cross-district
#4 · Punecell 4900005284
distance 0.324
#5 · Raigadcell 4910002765
distance 0.326 · cross-district
#6 · Punecell 4900005547
distance 0.341
#7 · Punecell 4900002216
distance 0.357
#8 · Punecell 4900005560
distance 0.359
#9 · Punecell 4900006308
distance 0.361
#10 · Raigadcell 4910002067
distance 0.367 · cross-district
#11 · Punecell 4900005548
distance 0.369
#12 · Raigadcell 4910001920
distance 0.373 · cross-district
#13 · Raigadcell 4910002208
distance 0.377 · cross-district
#14 · Punecell 4900005820
distance 0.378
#15 · Punecell 4900005680
distance 0.382
#16 · Raigadcell 4910002260
distance 0.385 · cross-district
#17 · Punecell 4900006306
distance 0.391
#18 · Raigadcell 4910002416
distance 0.401 · 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":4900005150}}}'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.