Pith Number

pith:AI6EEZOI

pith:2026:AI6EEZOIH2KFQFES7XJDNUGC4D

not attested not anchored not stored refs pending

Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing

Alessandro Celestini, Enrico Mastrostefano, Francesca Colaiori, Lena Rebecca Zastrow, Stefano Guarino

Simulations on a geo-referenced synthetic urban network show age-structured contacts produce faster and more pervasive epidemics while distance decay has negligible effects, with preliminary evidence of hierarchical spatial diffusion.

arxiv:2605.18092 v1 · 2026-05-18 · cs.SI · cs.CE

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\usepackage{pith}
\pithnumber{AI6EEZOIH2KFQFES7XJDNUGC4D}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Introducing age-structured contact patterns results in faster and more pervasive outbreaks, while assuming that the interaction frequency decays with distance has only negligible effects.

C2weakest assumption

The synthetic population and its contact patterns, reconstructed from census and survey data, sufficiently represent actual mixing behaviors and stable social relations in the real urban population.

C3one line summary

Receipt and verification

First computed	2026-05-20T00:05:15.561452Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

023c4265c83e94581492fdd236d0c2e0dc1652edde66a9a63894a5af32e7c678

Aliases

arxiv: 2605.18092 · arxiv_version: 2605.18092v1 · doi: 10.48550/arxiv.2605.18092 · pith_short_12: AI6EEZOIH2KF · pith_short_16: AI6EEZOIH2KFQFES · pith_short_8: AI6EEZOI

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 023c4265c83e94581492fdd236d0c2e0dc1652edde66a9a63894a5af32e7c678

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bbeff4cc131b40ba2d224b67f413ad47081b4f69259a7d4f7ad7ada3a1002bb6",
    "cross_cats_sorted": [
      "cs.CE"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.SI",
    "submitted_at": "2026-05-18T09:09:07Z",
    "title_canon_sha256": "b9cfc9569959d729f7e1add5a47e34860d93566b5d1c4f55abfa4e1299e414f0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.18092",
    "kind": "arxiv",
    "version": 1
  }
}