Pith Number
pith:B3PQX5QV
pith:2023:B3PQX5QV3ZQCHZQFM4KG63UTCM
not attested
not anchored
not stored
refs pending
Deep Learning based Forecasting: a case study from the online fashion industry
arxiv:2305.14406 v1 · 2023-05-23 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B3PQX5QV3ZQCHZQFM4KG63UTCM}
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 | 2026-07-05T06:13:23.262793Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0edf0bf615de6023e60567146f6e93131fe40318123207e964ec99750c7f3fe3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B3PQX5QV3ZQCHZQFM4KG63UTCM \
| 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: 0edf0bf615de6023e60567146f6e93131fe40318123207e964ec99750c7f3fe3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce98073768b0adfa823632878055f293bc349d47b35af0294b883115d8c7e575",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-23T13:30:35Z",
"title_canon_sha256": "19f36740b4fd5c03af4c5541d949a81d5fd69fd38dac65054236cad9a12ce5c7"
},
"schema_version": "1.0",
"source": {
"id": "2305.14406",
"kind": "arxiv",
"version": 1
}
}