Pith Number
pith:LLJXTF2K
pith:2024:LLJXTF2K4RKUOW7EWQ467ZTR4H
not attested
not anchored
not stored
refs pending
MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
arxiv:2403.15209 v3 · 2024-03-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LLJXTF2K4RKUOW7EWQ467ZTR4H}
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
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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 | 2026-07-05T09:58:19.406101Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ad379974ae455475be4b439efe671e1d107eda3c218fed2a4e536a48b3ed482
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LLJXTF2K4RKUOW7EWQ467ZTR4H \
| 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: 5ad379974ae455475be4b439efe671e1d107eda3c218fed2a4e536a48b3ed482
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9d22791af85276be3556a56e23425888ffc6b12f090af61a3540ce47d233e519",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-03-22T13:50:27Z",
"title_canon_sha256": "ac0f056f8c23ecdc338060ebdaf5d96653fe841857079caa9ae4467a1245f59d"
},
"schema_version": "1.0",
"source": {
"id": "2403.15209",
"kind": "arxiv",
"version": 3
}
}