Pith Number
pith:BNGJLG2C
pith:2026:BNGJLG2CK6FMFKRCRILWBFMEGR
not attested
not anchored
not stored
refs pending
Accelerating Long-Tail Generation in Synchronous RLHF Training via Adaptive Tensor Parallelism
arxiv:2605.23945 v1 · 2026-05-03 · cs.AI · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BNGJLG2CK6FMFKRCRILWBFMEGR}
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
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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 | 2026-05-26T00:02:23.207857Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b4c959b42578ac2aa228a17609584345b1627ca2e0f2a8d690d4eb6e13c5231
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BNGJLG2CK6FMFKRCRILWBFMEGR \
| 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: 0b4c959b42578ac2aa228a17609584345b1627ca2e0f2a8d690d4eb6e13c5231
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14b35507c4aa7e77f604ce838dec839272e80615ec1ffd9fd2f3dfc4b0124b9a",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-03T05:53:32Z",
"title_canon_sha256": "60bb08778c2c77ce8c5c5d8a48405cbea22f2314772a2301340bf4955ac8ffbb"
},
"schema_version": "1.0",
"source": {
"id": "2605.23945",
"kind": "arxiv",
"version": 1
}
}