Pith Number
pith:5H42OIEY
pith:2021:5H42OIEYYJXM4QNUG7SLKGTGGD
not attested
not anchored
not stored
refs pending
Are Pre-trained Convolutions Better than Pre-trained Transformers?
arxiv:2105.03322 v2 · 2021-05-07 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5H42OIEYYJXM4QNUG7SLKGTGGD}
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.
Receipt and verification
| First computed | 2026-07-05T03:52:27.926887Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9f9a72098c26ece41b437e4b51a6630fe90e540c9f4bc74c16a918ce43c9194
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5H42OIEYYJXM4QNUG7SLKGTGGD \
| 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: e9f9a72098c26ece41b437e4b51a6630fe90e540c9f4bc74c16a918ce43c9194
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b98c131a6fbc220df89c08c0476c53d7d87df892ac72e457abcbcff746936c57",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-05-07T15:13:30Z",
"title_canon_sha256": "abb6338e4e16d04c01a97dcffef999d59eda89f2aac38b52d5a45f383c395b74"
},
"schema_version": "1.0",
"source": {
"id": "2105.03322",
"kind": "arxiv",
"version": 2
}
}