Pith Number
pith:CXDJHP66
pith:2020:CXDJHP66P63CQJ2PHK4WRZA6FG
not attested
not anchored
not stored
refs pending
Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data
arxiv:2011.03877 v1 · 2020-11-08 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CXDJHP66P63CQJ2PHK4WRZA6FG}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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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 | 2026-07-05T01:50:00.128319Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
15c693bfde7fb628274f3ab968e41e29afadee3961fda98166664523f0c3677c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CXDJHP66P63CQJ2PHK4WRZA6FG \
| 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: 15c693bfde7fb628274f3ab968e41e29afadee3961fda98166664523f0c3677c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9f99fd9f18198246014548ebc87a91bff774efc27b7a1e92e686059ecf4758a3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-11-08T00:38:08Z",
"title_canon_sha256": "414a6f6e5df10a142d6321da7d2bd8bab399b78a9f6c671358485a667720f3fa"
},
"schema_version": "1.0",
"source": {
"id": "2011.03877",
"kind": "arxiv",
"version": 1
}
}