Pith Number
pith:OGTTCC4R
pith:2017:OGTTCC4R52F2OENAQZFMEJTXS7
not attested
not anchored
not stored
refs pending
Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis
arxiv:1705.02447 v1 · 2017-05-06 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OGTTCC4R52F2OENAQZFMEJTXS7}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:44:56.518125Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
71a7310b91ee8ba711a0864ac2267797db70419a50ba919bc5ca3f65c5516d38
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OGTTCC4R52F2OENAQZFMEJTXS7 \
| 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: 71a7310b91ee8ba711a0864ac2267797db70419a50ba919bc5ca3f65c5516d38
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "387dc90dc546f4551b8aa86f1befcdb6bfcd5157146b26ad637a31cf91bc4bac",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.SI",
"submitted_at": "2017-05-06T05:13:50Z",
"title_canon_sha256": "43382de257849ea0b30ece3f8cb2bfaeb76b370c8cf2d7bfebf6a4439a02c6d1"
},
"schema_version": "1.0",
"source": {
"id": "1705.02447",
"kind": "arxiv",
"version": 1
}
}