Pith Number
pith:VXBHYCQ3
pith:2022:VXBHYCQ3IGJO2K664LNBROKF5U
not attested
not anchored
not stored
refs pending
Fusion of Self-supervised Learned Models for MOS Prediction
arxiv:2204.04855 v1 · 2022-04-11 · cs.SD · cs.AI · cs.CL · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VXBHYCQ3IGJO2K664LNBROKF5U}
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 | 2026-07-05T04:13:02.279500Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
adc27c0a1b4192ed2bdee2da18b945ed1f84d94ccbe11e9c91620b1c35b05130
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VXBHYCQ3IGJO2K664LNBROKF5U \
| 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: adc27c0a1b4192ed2bdee2da18b945ed1f84d94ccbe11e9c91620b1c35b05130
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4402c791f9c9973776e91f171b143ea9eabe635fd7bfd9b604d03e392ae5e38d",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2022-04-11T03:50:52Z",
"title_canon_sha256": "3e0c0d30290f0e3e077dd58144218cfc15315ab4ca49b69dd0d54a7bd7849b97"
},
"schema_version": "1.0",
"source": {
"id": "2204.04855",
"kind": "arxiv",
"version": 1
}
}