Pith Number
pith:GUAAU2JQ
pith:2024:GUAAU2JQVRX6H3U3IFB52VYAAJ
not attested
not anchored
not stored
refs pending
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
arxiv:2404.10933 v1 · 2024-04-16 · cs.AI · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GUAAU2JQVRX6H3U3IFB52VYAAJ}
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 | 2026-07-05T08:09:00.940912Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35000a6930ac6fe3ee9b4143dd5700024690e2d0be804219aa1fce9baa57925e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GUAAU2JQVRX6H3U3IFB52VYAAJ \
| 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: 35000a6930ac6fe3ee9b4143dd5700024690e2d0be804219aa1fce9baa57925e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b5d9d8af1d47488cd9cf271d2add91d4d095bcb897b86515f06a00fbab38a2fe",
"cross_cats_sorted": [
"cs.CL",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-04-16T22:11:35Z",
"title_canon_sha256": "17a7a0bb7fb434b931c3f254a92a976446d68cd160a430837aaf30d01561d356"
},
"schema_version": "1.0",
"source": {
"id": "2404.10933",
"kind": "arxiv",
"version": 1
}
}