Pith Number
pith:QLK7DOAX
pith:2021:QLK7DOAXPVXHWSYCRWAJXLXYEL
not attested
not anchored
not stored
refs pending
PanGu-$\alpha$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
arxiv:2104.12369 v1 · 2021-04-26 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QLK7DOAXPVXHWSYCRWAJXLXYEL}
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 | 2026-07-05T02:34:56.122065Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
82d5f1b8177d6e7b4b028d809baef822fa53ace8b4c43c7432b7df11028e3045
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QLK7DOAXPVXHWSYCRWAJXLXYEL \
| 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: 82d5f1b8177d6e7b4b028d809baef822fa53ace8b4c43c7432b7df11028e3045
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "108674d3b069efe8fa203dbdaec194ad3ac94b1b5ee6eaa31631d00bbdb3e230",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-04-26T06:59:36Z",
"title_canon_sha256": "b360517a43face8e0c757b9bee58c4c61d49474c9c97ef708ed9456c97f9631f"
},
"schema_version": "1.0",
"source": {
"id": "2104.12369",
"kind": "arxiv",
"version": 1
}
}