Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900006638
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.179
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900005901
distance 0.179
#2 · Punecell 4900001007
distance 0.234
#3 · Punecell 4900005903
distance 0.248
#4 · Ahmednagarcell 4660004351
distance 0.249 · cross-district
#5 · Punecell 4900006026
distance 0.259
#6 · Ahmednagarcell 4660004522
distance 0.26 · cross-district
#7 · Ahmednagarcell 4660004696
distance 0.269 · cross-district
#8 · Ahmednagarcell 4660003999
distance 0.274 · cross-district
#9 · Punecell 4900003569
distance 0.278
#10 · Punecell 4900001056
distance 0.279
#11 · Punecell 4900012350
distance 0.28
#12 · Punecell 4900012420
distance 0.281
#13 · Ahmednagarcell 4660006763
distance 0.282 · cross-district
#14 · Punecell 4900012287
distance 0.283
#15 · Nashikcell 4870003962
distance 0.284 · cross-district
#16 · Punecell 4900000928
distance 0.288
#17 · Punecell 4900006871
distance 0.292
#18 · Sataracell 4940008890
distance 0.294 · 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":4900006638}}}'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.