Pith Number
pith:GPYCAIV2
pith:2022:GPYCAIV2S6EYDCAGEKWBJZOKPI
not attested
not anchored
not stored
refs pending
Do Deep Learning Models and News Headlines Outperform Conventional Prediction Techniques on Forex Data?
arxiv:2205.10743 v1 · 2022-05-22 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GPYCAIV2S6EYDCAGEKWBJZOKPI}
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.
Receipt and verification
| First computed | 2026-07-05T04:25:23.108487Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33f02022ba978981880622ac14e5ca7a1244272f7cc287fdaf5bbafc2745ca79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GPYCAIV2S6EYDCAGEKWBJZOKPI \
| 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: 33f02022ba978981880622ac14e5ca7a1244272f7cc287fdaf5bbafc2745ca79
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "30eb6179a74ba21726033643e2bf7d9886c5c5268ca499d2f3049c186dbbec09",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-22T05:05:31Z",
"title_canon_sha256": "d26068ecd86ac356f3ceab00295bd891f06cacc8d9c2b6e0e7db7dfcdf2bf88b"
},
"schema_version": "1.0",
"source": {
"id": "2205.10743",
"kind": "arxiv",
"version": 1
}
}