Pith Number
pith:NFZUJRGF
pith:2024:NFZUJRGFD4FF5VAOP56TFBFWUG
not attested
not anchored
not stored
refs pending
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
arxiv:2407.06460 v2 · 2024-07-08 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NFZUJRGFD4FF5VAOP56TFBFWUG}
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 | 2026-07-05T08:43:30.307965Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
697344c4c51f0a5ed40e7f7d3284b6a18a7649eee1abb197bfb1eaa5f530df67
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NFZUJRGFD4FF5VAOP56TFBFWUG \
| 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: 697344c4c51f0a5ed40e7f7d3284b6a18a7649eee1abb197bfb1eaa5f530df67
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "490534ecd06b5de84f03dd4408cac75d21cf1eee820b293e81c0916ba5d0c735",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-07-08T23:47:29Z",
"title_canon_sha256": "658c0965bbd913b705d5bcfa063a8b8af00cdfce01c70e9e888228110e0f2779"
},
"schema_version": "1.0",
"source": {
"id": "2407.06460",
"kind": "arxiv",
"version": 2
}
}