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Pith Number

pith:CEX4546M

pith:2016:CEX4546MVYNLIHBBX6FFEJSNPZ
not attested not anchored not stored refs pending

Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers

Kyunghyun Cho, Yijun Xiao

arxiv:1602.00367 v1 · 2016-02-01 · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CEX4546MVYNLIHBBX6FFEJSNPZ}

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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 2026-05-18T01:21:35.554553Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

112fcef3ccae1ab41c21bf8a52264d7e5f0e6c426754766c2b86d3253e3eb702

Aliases

arxiv: 1602.00367 · arxiv_version: 1602.00367v1 · doi: 10.48550/arxiv.1602.00367 · pith_short_12: CEX4546MVYNL · pith_short_16: CEX4546MVYNLIHBB · pith_short_8: CEX4546M
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CEX4546MVYNLIHBBX6FFEJSNPZ \
  | 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: 112fcef3ccae1ab41c21bf8a52264d7e5f0e6c426754766c2b86d3253e3eb702
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e0c70b1c6346500d9727892fa05aa664e64b455c8e6ebdf4b77a89d390a81c65",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2016-02-01T02:53:41Z",
    "title_canon_sha256": "98e6e9a1f27c4ba6c50d17b0dc3293f4a86e5d750201877b4b504e50b56a1a9c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1602.00367",
    "kind": "arxiv",
    "version": 1
  }
}