Pith Number
pith:CIVIUYJR
pith:2024:CIVIUYJRXPNWM2Y26JYWEX3JUG
not attested
not anchored
not stored
refs pending
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
arxiv:2407.00502 v1 · 2024-06-29 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CIVIUYJRXPNWM2Y26JYWEX3JUG}
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 | 2026-07-05T08:38:20.634435Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
122a8a6131bbdb666b1af271625f69a195b0cc6d8f1051a8c985597ff77858ca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CIVIUYJRXPNWM2Y26JYWEX3JUG \
| 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: 122a8a6131bbdb666b1af271625f69a195b0cc6d8f1051a8c985597ff77858ca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f5aced9745b6c683fa10bd05b2618a5895a6e261bea9dc3334161995e4d69f3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-06-29T17:56:59Z",
"title_canon_sha256": "34c7b9b60ce8633dbf07c81cd57683a97d41bb4860d460f33d9ec83a3d58e208"
},
"schema_version": "1.0",
"source": {
"id": "2407.00502",
"kind": "arxiv",
"version": 1
}
}