Pith Number
pith:HJRP3WRD
pith:2024:HJRP3WRDHHXC3YQMAHROKY6MOG
not attested
not anchored
not stored
refs pending
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
arxiv:2407.21121 v3 · 2024-07-30 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HJRP3WRDHHXC3YQMAHROKY6MOG}
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 | 2026-07-05T10:44:15.417025Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a62fdda2339ee2de20c01e2e563cc718ee9a18e3c801d0c1e93f421475fe02a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HJRP3WRDHHXC3YQMAHROKY6MOG \
| 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: 3a62fdda2339ee2de20c01e2e563cc718ee9a18e3c801d0c1e93f421475fe02a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ea9e8cba30c5b86b342585bb0d24918f7e6e19086bde40ff63f713d0ff487348",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-30T18:24:46Z",
"title_canon_sha256": "e0ad4ef3ea327746e5ac8d13c6bb692a1736ffe1b0d71568bcc3164d0d3c6620"
},
"schema_version": "1.0",
"source": {
"id": "2407.21121",
"kind": "arxiv",
"version": 3
}
}