Pith Number
pith:5TRTD5FW
pith:2024:5TRTD5FWYGKYHYXJHXALAV5S5F
not attested
not anchored
not stored
refs pending
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
arxiv:2408.15300 v1 · 2024-08-27 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5TRTD5FWYGKYHYXJHXALAV5S5F}
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 | 2026-07-05T09:00:09.990430Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ece331f4b6c19583e2e93dc0b057b2e9567633317ed0b074b9b1ed96b42d11de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5TRTD5FWYGKYHYXJHXALAV5S5F \
| 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: ece331f4b6c19583e2e93dc0b057b2e9567633317ed0b074b9b1ed96b42d11de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e94b40fc293c90d66e3fbb2a8b09d42a140fa99f7fced36bd7b0959d67f9b01b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-08-27T14:41:14Z",
"title_canon_sha256": "7b0e17ee86a78ac7907e85630feaad6c470e98a6cbf37be60c63e86defca18f7"
},
"schema_version": "1.0",
"source": {
"id": "2408.15300",
"kind": "arxiv",
"version": 1
}
}