Pith Number

pith:LVZEIVU2

pith:2025:LVZEIVU24X3ICSUBGFWHJMHCJ7

not attested not anchored not stored refs pending

An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk

Adam Nayak, Pierre Gentine, Upmanu Lall

An attention-based framework simulates multisite flood events that are coherent in space and time and linked to climate variability.

arxiv:2509.14162 v3 · 2025-09-17 · physics.geo-ph · physics.ao-ph · physics.data-an

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\usepackage{pith}
\pithnumber{LVZEIVU24X3ICSUBGFWHJMHCJ7}

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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

The multisite flood simulation framework produces spatiotemporally coherent flood portfolios conditioned on interannual climate variability, yielding physically interpretable flood clusters for portfolio-scale loss simulation and plausible out-of-sample flood risk catalogs.

C2weakest assumption

That attention-based analog retrieval combined with stochastic multivariate sequence generation can accurately reproduce nonstationary spatial-temporal flood dependencies across sites without post-hoc tuning or missing key drivers, as implied by the framework's ability to link clusters to large-scale climate drivers via wavelet analysis.

C3one line summary

Presents an attention-based stochastic simulator for generating spatiotemporally coherent multisite flood sequences conditioned on interannual climate variability to support portfolio-scale flood risk assessment.

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-08-11T00:13:59.997131Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5d7244569ae5f6814a81316c74b0e24fc104b40017cff1a15d257ccfeb886253

Aliases

arxiv: 2509.14162 · arxiv_version: 2509.14162v3 · doi: 10.48550/arxiv.2509.14162 · pith_short_12: LVZEIVU24X3I · pith_short_16: LVZEIVU24X3ICSUB · pith_short_8: LVZEIVU2

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7 \
  | 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: 5d7244569ae5f6814a81316c74b0e24fc104b40017cff1a15d257ccfeb886253

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3d32c98b75d1bac4e34784468c7c17029c8352152b011095cc08bceb6c1082a0",
    "cross_cats_sorted": [
      "physics.ao-ph",
      "physics.data-an"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.geo-ph",
    "submitted_at": "2025-09-17T16:46:56Z",
    "title_canon_sha256": "232910d5b83410cf1490e4cc4362e09a93870a48c81e96a85ce6d2147c204ace"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.14162",
    "kind": "arxiv",
    "version": 3
  }
}