Pith Number
pith:AYD24LH2
pith:2022:AYD24LH2WZSYI34SOGYJY7ZWDD
not attested
not anchored
not stored
refs pending
Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data
arxiv:2207.02980 v2 · 2022-07-06 · cs.LG · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AYD24LH2WZSYI34SOGYJY7ZWDD}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:07:20.615042Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0607ae2cfab665846f9271b09c7f3618f0645470a9f9150f6f3386cf2b875c67
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AYD24LH2WZSYI34SOGYJY7ZWDD \
| 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: 0607ae2cfab665846f9271b09c7f3618f0645470a9f9150f6f3386cf2b875c67
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "89ffd3bd9a0a2f4f57f89278dc00fccf0d10462b857e7912c4b7a523b114f876",
"cross_cats_sorted": [
"q-bio.QM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-07-06T21:27:13Z",
"title_canon_sha256": "f57d51b713a4a9c5a2651be5f6da97cdb923b0696c21c41029dbbdaf23f92e1b"
},
"schema_version": "1.0",
"source": {
"id": "2207.02980",
"kind": "arxiv",
"version": 2
}
}