Pith Number
pith:LDXD74FP
pith:2020:LDXD74FPAZS2G2O63VXCX5A4IR
not attested
not anchored
not stored
refs pending
Denoising Large-Scale Image Captioning from Alt-text Data using Content Selection Models
arxiv:2009.05175 v3 · 2020-09-10 · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LDXD74FPAZS2G2O63VXCX5A4IR}
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 | 2026-07-05T05:11:33.652327Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58ee3ff0af0665a369dedd6e2bf41c4471370024f938bbe5d07fbb322ad4f90a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LDXD74FPAZS2G2O63VXCX5A4IR \
| 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: 58ee3ff0af0665a369dedd6e2bf41c4471370024f938bbe5d07fbb322ad4f90a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7609e50f50645f21b2cf7449fc85bdd5b8861a690d3ee6f9533bb756163a7929",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-09-10T23:31:38Z",
"title_canon_sha256": "6d3af2e268e7ef562fbbb357660fd396cc75ffdf35d407661ac2d3843e5c5479"
},
"schema_version": "1.0",
"source": {
"id": "2009.05175",
"kind": "arxiv",
"version": 3
}
}