Pith Number
pith:ZWPFWBGM
pith:2021:ZWPFWBGMZC57FEUXXJKWCN5M5P
not attested
not anchored
not stored
refs pending
Do We Really Need Deep Learning Models for Time Series Forecasting?
arxiv:2101.02118 v2 · 2021-01-06 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZWPFWBGMZC57FEUXXJKWCN5M5P}
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 | 2026-07-05T03:24:08.067056Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd9e5b04ccc8bbf29297ba556137acebd1d63bff52ab43428e433d097c79a461
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZWPFWBGMZC57FEUXXJKWCN5M5P \
| 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: cd9e5b04ccc8bbf29297ba556137acebd1d63bff52ab43428e433d097c79a461
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e5c9298801cfafea1cf25efdb9103ac795cfd94c0152222d0c8e5299a29ca22",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-01-06T16:18:04Z",
"title_canon_sha256": "b5056c5d659d0950b6b5bbe8fc9884c9e27fac5acd91b4bf3a5bea0664c46b5b"
},
"schema_version": "1.0",
"source": {
"id": "2101.02118",
"kind": "arxiv",
"version": 2
}
}