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Pith Number

pith:GFYSPF6T

pith:2019:GFYSPF6T5QVC3ACIW57HS6QONS
not attested not anchored not stored refs pending

Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?

Jerome R. Bellegarda, Lyan Verwimp

arxiv:1909.04130 v1 · 2019-09-09 · cs.CL

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\usepackage{pith}
\pithnumber{GFYSPF6T5QVC3ACIW57HS6QONS}

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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 2026-07-05T00:03:18.965951Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

31712797d3ec2a2d8048b77e797a0e6c9c2231369da9db2a4d01201e95aafc5b

Aliases

arxiv: 1909.04130 · arxiv_version: 1909.04130v1 · doi: 10.48550/arxiv.1909.04130 · pith_short_12: GFYSPF6T5QVC · pith_short_16: GFYSPF6T5QVC3ACI · pith_short_8: GFYSPF6T
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GFYSPF6T5QVC3ACIW57HS6QONS \
  | 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: 31712797d3ec2a2d8048b77e797a0e6c9c2231369da9db2a4d01201e95aafc5b
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f4f3d870f120101c0d34b895a6aba99d3dfa3b758587ba7f6b62be0b3583a8fc",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2019-09-09T20:01:51Z",
    "title_canon_sha256": "79c2abb71d66c40fe39edfc211f381430f927486e4eb8fa1ac733fc87a4dda31"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1909.04130",
    "kind": "arxiv",
    "version": 1
  }
}