Pith Number
pith:NFAY3UHD
pith:2026:NFAY3UHDOT22WPM6RW76G2CNFL
not attested
not anchored
not stored
refs pending
StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration
arxiv:2607.08993 v1 · 2026-07-09 · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NFAY3UHDOT22WPM6RW76G2CNFL}
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.
Receipt and verification
| First computed | 2026-07-13T00:17:32.774503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69418dd0e374f5ab3d9e8dbfe3684d2acf4a8a0ebdc5292fcf7a8eed64d01aab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NFAY3UHDOT22WPM6RW76G2CNFL \
| 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: 69418dd0e374f5ab3d9e8dbfe3684d2acf4a8a0ebdc5292fcf7a8eed64d01aab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9954bd74493cbee4f189f61d088ed18035ad14cf6113d67e1aeca1aab568a174",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AR",
"submitted_at": "2026-07-09T23:52:57Z",
"title_canon_sha256": "0912ba169957e106143c0939871b33b362a8ad04e2713d21a82e34716be3470b"
},
"schema_version": "1.0",
"source": {
"id": "2607.08993",
"kind": "arxiv",
"version": 1
}
}