Pith Number
pith:YK7BHTO5
pith:2023:YK7BHTO5ZD4B7VEC6ARZKNNGNF
not attested
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refs pending
Deep Learning-based extraction of surface wave dispersion curves from seismic shot gathers
arxiv:2305.13990 v1 · 2023-05-23 · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YK7BHTO5ZD4B7VEC6ARZKNNGNF}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
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.
Receipt and verification
| First computed | 2026-07-05T06:13:00.066604Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c2be13cdddc8f81fd482f0239535a6696d16583caf4c7ad40d951ad36b683247
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YK7BHTO5ZD4B7VEC6ARZKNNGNF \
| 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: c2be13cdddc8f81fd482f0239535a6696d16583caf4c7ad40d951ad36b683247
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f368287784f790bbb9302b1ce915ee31108937dceaeeac393ee0d4dd9503aae5",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.geo-ph",
"submitted_at": "2023-05-23T12:16:22Z",
"title_canon_sha256": "25ca5fe2ee8e6a789330af044540048ffc4748c920afedda7d725d522ffd9d40"
},
"schema_version": "1.0",
"source": {
"id": "2305.13990",
"kind": "arxiv",
"version": 1
}
}