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Pith Number

pith:MQLJ77T2

pith:2019:MQLJ77T24AA6DK7M46NVBCEOBW
not attested not anchored not stored refs pending

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification

Amr Al-Khatib, Samhaa R. El-Beltagy

arxiv:1908.02579 v2 · 2019-08-07 · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MQLJ77T24AA6DK7M46NVBCEOBW}

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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 2026-07-05T00:26:09.614631Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

64169ffe7ae001e1abece79b50888e0dbb0a1eee26bad3941ff1eeeb540bb638

Aliases

arxiv: 1908.02579 · arxiv_version: 1908.02579v2 · doi: 10.48550/arxiv.1908.02579 · pith_short_12: MQLJ77T24AA6 · pith_short_16: MQLJ77T24AA6DK7M · pith_short_8: MQLJ77T2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MQLJ77T24AA6DK7M46NVBCEOBW \
  | 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: 64169ffe7ae001e1abece79b50888e0dbb0a1eee26bad3941ff1eeeb540bb638
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1bc1c13a90f3afff3b5ebc05a75b39fcefa9fe38b92d8526e7471cd5eef988a4",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2019-08-07T12:32:33Z",
    "title_canon_sha256": "70d23b3c37d26ae3a753059f465b1be3f2ea14453f1588182ee1f426d3633cbb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1908.02579",
    "kind": "arxiv",
    "version": 2
  }
}