Pith Number
pith:MZTS4MSM
pith:2022:MZTS4MSM7O6KJHXD67YIGWWPBN
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Finding Skill Neurons in Pre-trained Transformer-based Language Models
arxiv:2211.07349 v1 · 2022-11-14 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MZTS4MSM7O6KJHXD67YIGWWPBN}
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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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-05T05:15:52.609456Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
66672e324cfbbca49ee3f7f0835acf0b75fe81b0fd1f6c9da6bbaad0ab755373
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MZTS4MSM7O6KJHXD67YIGWWPBN \
| 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: 66672e324cfbbca49ee3f7f0835acf0b75fe81b0fd1f6c9da6bbaad0ab755373
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1abe7548ea04c98652f3eb24fa416128895951c4df8096a3d16680509d9598f0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-11-14T13:43:46Z",
"title_canon_sha256": "fc43b7fbb7d52e5a9a756241357d1f3cdda6c0cd86b120d20e49a316110d594b"
},
"schema_version": "1.0",
"source": {
"id": "2211.07349",
"kind": "arxiv",
"version": 1
}
}