Pith Number
pith:EFLZ7JRH
pith:2026:EFLZ7JRHWCRT4FLCHOJA7KBDLA
not attested
not anchored
not stored
refs pending
Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy
arxiv:2606.08779 v1 · 2026-06-07 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EFLZ7JRHWCRT4FLCHOJA7KBDLA}
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 | 2026-06-09T02:07:38.980320Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
21579fa627b0a33e15623b920fa823580707944e14085644c26bc840bb3c4e92
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EFLZ7JRHWCRT4FLCHOJA7KBDLA \
| 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: 21579fa627b0a33e15623b920fa823580707944e14085644c26bc840bb3c4e92
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4596793964a94577ade9323ca86155660ce8b82d4941c826648aca9bad6f3e9b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-07T18:49:33Z",
"title_canon_sha256": "606b8dfbfdbca28f7233297ab6b62a10d63420e8c12339e0b78370fdc86c44f2"
},
"schema_version": "1.0",
"source": {
"id": "2606.08779",
"kind": "arxiv",
"version": 1
}
}