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Pith Number

pith:TFI76QPN

pith:2017:TFI76QPNEEC7ZBEROKVZSZTFYX
not attested not anchored not stored refs pending

R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting

Arindam Banerjee, Hardik Goel, Igor Melnyk

arxiv:1709.03159 v1 · 2017-09-10 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{TFI76QPNEEC7ZBEROKVZSZTFYX}

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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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T00:35:39.178225Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9951ff41ed2105fc849172ab996665c5f2761b3214eb2c5e1d1b08682ee00b90

Aliases

arxiv: 1709.03159 · arxiv_version: 1709.03159v1 · doi: 10.48550/arxiv.1709.03159 · pith_short_12: TFI76QPNEEC7 · pith_short_16: TFI76QPNEEC7ZBER · pith_short_8: TFI76QPN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TFI76QPNEEC7ZBEROKVZSZTFYX \
  | 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: 9951ff41ed2105fc849172ab996665c5f2761b3214eb2c5e1d1b08682ee00b90
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "eff938c2925d931321fa6db54b206d2fb8a3414925e21e4a1b23182f9aef04f0",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-09-10T19:29:49Z",
    "title_canon_sha256": "d19e92e68374730ec5addb575a5b2a15bdcd2bd0987ba0b412c90f0d303e7234"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.03159",
    "kind": "arxiv",
    "version": 1
  }
}