Pith Number
pith:4LZTW7IZ
pith:2024:4LZTW7IZVS2Y6LHNP22TB2NP4Z
not attested
not anchored
not stored
refs pending
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
arxiv:2411.17106 v3 · 2024-11-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4LZTW7IZVS2Y6LHNP22TB2NP4Z}
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 | 2026-07-05T09:43:37.303857Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e2f33b7d19acb58f2ced7eb530e9afe641a7c3a271f6773362e9352ac1602989
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4LZTW7IZVS2Y6LHNP22TB2NP4Z \
| 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: e2f33b7d19acb58f2ced7eb530e9afe641a7c3a271f6773362e9352ac1602989
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7177f1c3ff81f9de06531b27dd342106c483e706b9c69836074b43542a7eb39a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-11-26T04:49:42Z",
"title_canon_sha256": "e2933229e25fe6fc774e9900aeb4425ba0ec9fedff1d3d988e785f5ff9e2019b"
},
"schema_version": "1.0",
"source": {
"id": "2411.17106",
"kind": "arxiv",
"version": 3
}
}