Pith Number
pith:HXZVNGVN
pith:2025:HXZVNGVNANN5K7Y7ES2MGXQKAY
not attested
not anchored
not stored
refs pending
Optimizing LLM Inference Throughput via Memory-aware and SLA-constrained Dynamic Batching
arxiv:2503.05248 v1 · 2025-03-07 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HXZVNGVNANN5K7Y7ES2MGXQKAY}
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 | 2026-07-05T10:26:24.891883Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3df3569aad035bd57f1f24b4c35e0a06248583f7e6ebd49991ae6ee9bbe1d27c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HXZVNGVNANN5K7Y7ES2MGXQKAY \
| 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: 3df3569aad035bd57f1f24b4c35e0a06248583f7e6ebd49991ae6ee9bbe1d27c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1540861508c9f3dbce0ee6957d88d0a3b9039791f11720a1ade5e2fb697a8044",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2025-03-07T09:02:21Z",
"title_canon_sha256": "d08230d8a316973fa6d9ba5e4a7e79460b43358ae6c1855efacc2f210d17395c"
},
"schema_version": "1.0",
"source": {
"id": "2503.05248",
"kind": "arxiv",
"version": 1
}
}