Pith Number
pith:ASSJ24Y5
pith:2024:ASSJ24Y5DSILALSXAON3W4IHUN
not attested
not anchored
not stored
refs pending
2AFC Prompting of Large Multimodal Models for Image Quality Assessment
arxiv:2402.01162 v1 · 2024-02-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ASSJ24Y5DSILALSXAON3W4IHUN}
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 | 2026-07-05T07:40:31.631817Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
04a49d731d1c90b02e57039bbb7107a34e0e06cf3bcaa7c559cbe87f93a9e1aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ASSJ24Y5DSILALSXAON3W4IHUN \
| 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: 04a49d731d1c90b02e57039bbb7107a34e0e06cf3bcaa7c559cbe87f93a9e1aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "efd673ba4024595f82b940eca654430ed8ac0c8c71b8edce035ca1debd0456ff",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-02-02T06:05:18Z",
"title_canon_sha256": "0860ab36f156bd8101b37ce742f3b2dba92b73ed1f817ce8c54f40bcd6b3628f"
},
"schema_version": "1.0",
"source": {
"id": "2402.01162",
"kind": "arxiv",
"version": 1
}
}