Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000542
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
0.306
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940007644
distance 0.306 · cross-district
#2 · Sataracell 4940008156
distance 0.328 · cross-district
#3 · Sataracell 4940007851
distance 0.364 · cross-district
#4 · Punecell 4900003675
distance 0.365
#5 · Punecell 4900000547
distance 0.371
#6 · Nashikcell 4870002169
distance 0.372 · cross-district
#7 · Punecell 4900003689
distance 0.393
#8 · Nashikcell 4870001737
distance 0.395 · cross-district
#9 · Punecell 4900000383
distance 0.397
#10 · Punecell 4900000314
distance 0.398
#11 · Punecell 4900000330
distance 0.399
#12 · Sataracell 4940007750
distance 0.4 · cross-district
#13 · Punecell 4900012772
distance 0.401
#14 · Punecell 4900003003
distance 0.403
#15 · Sataracell 4940007223
distance 0.406 · cross-district
#16 · Punecell 4900000380
distance 0.408
#17 · Punecell 4900006151
distance 0.408
#18 · Solapurcell 4960007663
distance 0.411 · 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":4900000542}}}'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.