Pith Number
pith:FGGWVUKI
pith:2023:FGGWVUKIYA3YX7KHWKYW2QZEPW
not attested
not anchored
not stored
refs pending
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
arxiv:2310.16776 v5 · 2023-10-25 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FGGWVUKIYA3YX7KHWKYW2QZEPW}
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
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claim
4
Citations
5
Replications
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:31:06.540333Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
298d6ad148c0378bfd47b2b16d43247dae7ac4919c2861665f91846114ba3a4d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FGGWVUKIYA3YX7KHWKYW2QZEPW \
| 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: 298d6ad148c0378bfd47b2b16d43247dae7ac4919c2861665f91846114ba3a4d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "caf9af3794e01609edc6862d30e03f9e827e3ce0cb587ba2476197c009515fe1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-10-25T17:06:42Z",
"title_canon_sha256": "879a49293f184576e192d6d92d587f50b0107ddf68f5820975941d7c69278c0a"
},
"schema_version": "1.0",
"source": {
"id": "2310.16776",
"kind": "arxiv",
"version": 5
}
}