Pith Number
pith:MEZ27NEW
pith:2025:MEZ27NEWWUNFR5W6KG22D367WA
not attested
not anchored
not stored
refs pending
MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training
arxiv:2508.07590 v1 · 2025-08-11 · cs.MM · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MEZ27NEWWUNFR5W6KG22D367WA}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:51:48.892506Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6133afb496b51a58f6de51b5a1efdfb0383c0149b7e6d35daf0f3d29d7a00075
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MEZ27NEWWUNFR5W6KG22D367WA \
| 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: 6133afb496b51a58f6de51b5a1efdfb0383c0149b7e6d35daf0f3d29d7a00075
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c5aca4c12cd21c7d6336a6bbf6cd4a20c2d1c17153fc3144b7d0f4dff79c6e4d",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.MM",
"submitted_at": "2025-08-11T03:37:09Z",
"title_canon_sha256": "249c66918ebaa01eee7be7b2046af8fe872bad57cf2441972eaf1b057a5ec0bd"
},
"schema_version": "1.0",
"source": {
"id": "2508.07590",
"kind": "arxiv",
"version": 1
}
}