Pith Number
pith:VFSZIZUG
pith:2025:VFSZIZUGM3CRYZWD7NOGQM6KSB
not attested
not anchored
not stored
refs pending
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle
arxiv:2509.16679 v1 · 2025-09-20 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VFSZIZUGM3CRYZWD7NOGQM6KSB}
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 | 2026-07-02T08:42:24.356126Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a96594668666c51c66c3fb5c6833ca904b618369490b50e8f6e321fa58d6eb7e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VFSZIZUGM3CRYZWD7NOGQM6KSB \
| 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: a96594668666c51c66c3fb5c6833ca904b618369490b50e8f6e321fa58d6eb7e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0fab1bc352ab3d44443c76cf65d5f8cf7852182ca3089250dbbaf282d75880e9",
"cross_cats_sorted": [],
"license": "",
"primary_cat": "cs.CL",
"submitted_at": "2025-09-20T13:11:28Z",
"title_canon_sha256": "04d9dba191602aa11aac11ee18a3864f6d8dfbc676909e99b9f294907ffd5376"
},
"schema_version": "1.0",
"source": {
"id": "2509.16679",
"kind": "arxiv",
"version": 1
}
}