Pith Number
pith:FTJMDNAK
pith:2025:FTJMDNAKIAIK3CKEMK72YM3J7H
not attested
not anchored
not stored
refs pending
Learning Beyond the Surface: How Far Can Continual Pre-Training with LoRA Enhance LLMs' Domain-Specific Insight Learning?
arxiv:2501.17840 v1 · 2025-01-29 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FTJMDNAKIAIK3CKEMK72YM3J7H}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
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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 | 2026-07-05T10:06:58.874910Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2cd2c1b40a4010ad894462bfac3369f9f728ac1f54ee869ad58886c8e0972ca9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FTJMDNAKIAIK3CKEMK72YM3J7H \
| 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: 2cd2c1b40a4010ad894462bfac3369f9f728ac1f54ee869ad58886c8e0972ca9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "467a3341b09336b6d2db434d54431059e82f537d9362de07b8cf9f1716f8dcbc",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-29T18:40:32Z",
"title_canon_sha256": "62761c98d5c427acb88e90913567a4c01f9f236c00eed81f5251f861fe65d497"
},
"schema_version": "1.0",
"source": {
"id": "2501.17840",
"kind": "arxiv",
"version": 1
}
}