Pith Number
pith:YM7GUUZL
pith:2022:YM7GUUZLDVPH4P7S4WGMUXV2KZ
not attested
not anchored
not stored
refs pending
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
arxiv:2202.06767 v4 · 2022-02-14 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YM7GUUZLDVPH4P7S4WGMUXV2KZ}
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 | 2026-07-05T05:01:50.749204Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c33e6a532b1d5e7e3ff2e58cca5eba566b4ecfd6fc7679bbcbe7cbf4adef8776
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YM7GUUZLDVPH4P7S4WGMUXV2KZ \
| 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: c33e6a532b1d5e7e3ff2e58cca5eba566b4ecfd6fc7679bbcbe7cbf4adef8776
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f0fb6b82b7e2d2471e4e200db019d67c2f57cba6b1ce59b9a5de5392a5e7fe82",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-02-14T14:37:15Z",
"title_canon_sha256": "0beb470ada2fbefda337037fdcf9015a20450001f3a0704b51a8a121f690c0aa"
},
"schema_version": "1.0",
"source": {
"id": "2202.06767",
"kind": "arxiv",
"version": 4
}
}