Pith Number
pith:TGPGAX7W
pith:2023:TGPGAX7WJSZNR7A4QYFKZC4BGY
not attested
not anchored
not stored
refs pending
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
arxiv:2310.20624 v2 · 2023-10-31 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TGPGAX7WJSZNR7A4QYFKZC4BGY}
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 | 2026-07-05T08:21:42.728380Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
999e605ff64cb2d8fc1c860aac8b813639355d6b302a81e1c6b9e9a89a3eac76
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TGPGAX7WJSZNR7A4QYFKZC4BGY \
| 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: 999e605ff64cb2d8fc1c860aac8b813639355d6b302a81e1c6b9e9a89a3eac76
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2c313efb5794d4d4071056045b3008be2ba12e5cab529e9401ed9b82c5957eb7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-31T16:55:06Z",
"title_canon_sha256": "8b0e5c1df72f88a5475a4ef8da559e4d21e83ea7b5bec580fa31cf433422efd1"
},
"schema_version": "1.0",
"source": {
"id": "2310.20624",
"kind": "arxiv",
"version": 2
}
}