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Pith Number

pith:GHPEJSEI

pith:2018:GHPEJSEIJ3ZATZLEWQ67UTQZAC
not attested not anchored not stored refs pending

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Dan Jurafsky, He He, Peng Qi, Urvashi Khandelwal

arxiv:1805.04623 v1 · 2018-05-12 · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GHPEJSEIJ3ZATZLEWQ67UTQZAC}

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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

2 papers in Pith

Receipt and verification
First computed 2026-05-18T00:16:06.856297Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

31de44c8884ef209e564b43dfa4e19009da2cbb95bf6e57a0226aefb38fcf22a

Aliases

arxiv: 1805.04623 · arxiv_version: 1805.04623v1 · doi: 10.48550/arxiv.1805.04623 · pith_short_12: GHPEJSEIJ3ZA · pith_short_16: GHPEJSEIJ3ZATZLE · pith_short_8: GHPEJSEI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHPEJSEIJ3ZATZLEWQ67UTQZAC \
  | 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: 31de44c8884ef209e564b43dfa4e19009da2cbb95bf6e57a0226aefb38fcf22a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "519286d8e7d10ff0926737cd195f8239b11cc41e2fd560d7c9f681843c2e0037",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2018-05-12T00:26:29Z",
    "title_canon_sha256": "53addaa55793fada59e6102a54437c58e0c351785223505be836d18e458ed6f3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1805.04623",
    "kind": "arxiv",
    "version": 1
  }
}