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
arxiv:1805.04623 v1 · 2018-05-12 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GHPEJSEIJ3ZATZLEWQ67UTQZAC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
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
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
· · · · ·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
}
}