Pith Number
pith:DN4ZJ44J
pith:2025:DN4ZJ44JXEE6YMA6L6CRNGRY43
not attested
not anchored
not stored
refs pending
Can Post-Training Quantization Benefit from an Additional QLoRA Integration?
arxiv:2502.10202 v1 · 2025-02-14 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DN4ZJ44JXEE6YMA6L6CRNGRY43}
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.
Receipt and verification
| First computed | 2026-07-05T10:14:29.886069Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b7994f389b909ec301e5f85169a38e6d0f32fbe504baf1dc55e63eb66bf7676
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DN4ZJ44JXEE6YMA6L6CRNGRY43 \
| 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: 1b7994f389b909ec301e5f85169a38e6d0f32fbe504baf1dc55e63eb66bf7676
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50ecccb378de5014e1dd3b714318d535a9c035ad8ddc4d9dfa05f819a16412e2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-14T14:56:19Z",
"title_canon_sha256": "6b45a51918c01433ff81be8a454332c53a6130f5463b918a52d019015f1ea6ce"
},
"schema_version": "1.0",
"source": {
"id": "2502.10202",
"kind": "arxiv",
"version": 1
}
}