Pith Number
pith:ZBGIHSEL
pith:2025:ZBGIHSELTGRC4HYF2F23KWVXJR
not attested
not anchored
not stored
refs pending
Physics-Informed Neural Network Surrogate Models for River Stage Prediction
arxiv:2503.16850 v1 · 2025-03-21 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZBGIHSELTGRC4HYF2F23KWVXJR}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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Replications
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:36:51.362119Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c84c83c88b99a22e1f05d175b55ab74c447020ade4ca8f7c246039f954a5541f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZBGIHSELTGRC4HYF2F23KWVXJR \
| 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: c84c83c88b99a22e1f05d175b55ab74c447020ade4ca8f7c246039f954a5541f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "742d70bd0a1409b94e831399ee1cc0357407b83ab98c9cb722ab2fddb9f7c8b0",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-21T04:48:22Z",
"title_canon_sha256": "0877b66a2b774e13e317568bb04b47ab588982a976337d93333c9cff8784be6a"
},
"schema_version": "1.0",
"source": {
"id": "2503.16850",
"kind": "arxiv",
"version": 1
}
}