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pith:SZH423UF

pith:2021:SZH423UFNATOT3AQ76VZNN5OUS
not attested not anchored not stored refs pending

Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting

Danilo P. Mandic, Giuseppe G. Calvi, Yao Lei Xu

arxiv:2105.04983 v1 · 2021-05-11 · cs.LG

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\usepackage{pith}
\pithnumber{SZH423UFNATOT3AQ76VZNN5OUS}

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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.

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1 paper in Pith

Receipt and verification
First computed 2026-07-05T02:39:26.302527Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

964fcd6e856826e9ec10ffab96b7aea4a29dc8a3818876dd6659f04613496930

Aliases

arxiv: 2105.04983 · arxiv_version: 2105.04983v1 · doi: 10.48550/arxiv.2105.04983 · pith_short_12: SZH423UFNATO · pith_short_16: SZH423UFNATOT3AQ · pith_short_8: SZH423UF
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SZH423UFNATOT3AQ76VZNN5OUS \
  | 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: 964fcd6e856826e9ec10ffab96b7aea4a29dc8a3818876dd6659f04613496930
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3476ab9e72184131de58bf43cd38f798c8c58be35bb8ee5be00cda2a7a4f21e8",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2021-05-11T12:38:34Z",
    "title_canon_sha256": "ea4aa3c6055cb90614c84cfda18e93b22d041ffe27d2fde6544ef5b900cc7618"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2105.04983",
    "kind": "arxiv",
    "version": 1
  }
}