Pith Number
pith:LF6ZWSGN
pith:2025:LF6ZWSGNJLXBTDMOPULQ2D5QX3
not attested
not anchored
not stored
refs pending
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
arxiv:2505.19855 v1 · 2025-05-26 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LF6ZWSGNJLXBTDMOPULQ2D5QX3}
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
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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 | 2026-07-05T11:09:48.997389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
597d9b48cd4aee198d8e7d170d0fb0beda7b5706b58cac1c3d78ae340b9958e5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LF6ZWSGNJLXBTDMOPULQ2D5QX3 \
| 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: 597d9b48cd4aee198d8e7d170d0fb0beda7b5706b58cac1c3d78ae340b9958e5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c3dcd6b7e74e3c0f665fde6d6eb5ddee072ab034d3e8e030456c4a8d545f5a24",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-26T11:39:56Z",
"title_canon_sha256": "f9d8de4a80ad9c710983d93da9bf51e672a86312cc46ed23b595ab681a99138b"
},
"schema_version": "1.0",
"source": {
"id": "2505.19855",
"kind": "arxiv",
"version": 1
}
}