Pith Number
pith:CSM4UHHK
pith:2024:CSM4UHHKBRHZQ23KOI4VWH35YF
not attested
not anchored
not stored
refs pending
Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference
arxiv:2412.04964 v2 · 2024-12-06 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CSM4UHHKBRHZQ23KOI4VWH35YF}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:47:37.499488Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1499ca1cea0c4f986b6a72395b1f7dc14ed003ca77849afe409853fc0762f2fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CSM4UHHKBRHZQ23KOI4VWH35YF \
| 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: 1499ca1cea0c4f986b6a72395b1f7dc14ed003ca77849afe409853fc0762f2fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "72a86d13f329f302a99505d4a48b807c3c9391eca7d21113f01e3d35449a4001",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-12-06T11:29:32Z",
"title_canon_sha256": "41bcf5bcb3f49564c2ef02be422ae444d9dc1848c72f65a2b283ce9c20ccad0d"
},
"schema_version": "1.0",
"source": {
"id": "2412.04964",
"kind": "arxiv",
"version": 2
}
}