Pith Number
pith:ASAMY472
pith:2025:ASAMY472MDZ3K2YLEO73XOMVWW
not attested
not anchored
not stored
refs pending
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches
arxiv:2512.12677 v2 · 2025-12-14 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ASAMY472MDZ3K2YLEO73XOMVWW}
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 | 2026-05-25T02:01:10.842431Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0480cc73fa60f3b56b0b23bfbbb995b5a627cbc09dca28b4c1532858135fb896
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ASAMY472MDZ3K2YLEO73XOMVWW \
| 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: 0480cc73fa60f3b56b0b23bfbbb995b5a627cbc09dca28b4c1532858135fb896
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bcf6e6008a93594f127c6e2271ce0bd22b7f2e3b8cd02cb969dca5b8414ea48d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-12-14T13:02:06Z",
"title_canon_sha256": "07b4f42c7c7fd67c6a94237c3a92cf0901ce57aeedb5c677ba14ec68852938c6"
},
"schema_version": "1.0",
"source": {
"id": "2512.12677",
"kind": "arxiv",
"version": 2
}
}