Pith Number
pith:6SQSOI7N
pith:2024:6SQSOI7N4YL2J5LV2UP4LD4LJ2
not attested
not anchored
not stored
refs pending
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
arxiv:2410.07652 v1 · 2024-10-10 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6SQSOI7N4YL2J5LV2UP4LD4LJ2}
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 | 2026-07-05T09:18:41.363001Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f4a12723ede617a4f575d51fc58f8b4eb97a349b76b1852cb8c7f0fd900915f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6SQSOI7N4YL2J5LV2UP4LD4LJ2 \
| 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: f4a12723ede617a4f575d51fc58f8b4eb97a349b76b1852cb8c7f0fd900915f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "377ee89eee027520f6757a527069e2d1814ad9af171b54765d21f54417ee7290",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-10-10T06:35:51Z",
"title_canon_sha256": "82f178e51e1c9b79b09165fda6de28d3609a764e295e670d4d7483a5840269ff"
},
"schema_version": "1.0",
"source": {
"id": "2410.07652",
"kind": "arxiv",
"version": 1
}
}