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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

Pengyu Li, Tao Wan, Yifan Liu, Zengchang Qin

arxiv:1705.02447 v1 · 2017-05-06 · cs.SI

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\usepackage{pith}
\pithnumber{OGTTCC4R52F2OENAQZFMEJTXS7}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 1705.02447 · arxiv_version: 1705.02447v1 · doi: 10.48550/arxiv.1705.02447 · pith_short_12: OGTTCC4R52F2 · pith_short_16: OGTTCC4R52F2OENA · pith_short_8: OGTTCC4R
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
  }
}