Pith Number
pith:3EHQMIFI
pith:2022:3EHQMIFIA7FUFJAGS24R2KFMYG
not attested
not anchored
not stored
refs pending
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
arxiv:2204.06806 v1 · 2022-04-14 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3EHQMIFIA7FUFJAGS24R2KFMYG}
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
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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 | 2026-07-05T04:14:46.335394Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d90f0620a807cb42a40696b91d28acc1a77541f2ed3946acef72ab2c2419e5c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3EHQMIFIA7FUFJAGS24R2KFMYG \
| 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: d90f0620a807cb42a40696b91d28acc1a77541f2ed3946acef72ab2c2419e5c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ba514ce6763821ff95f4a268f9b352a3035ef4d4086b913e42a3ba6049f51165",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-04-14T08:02:40Z",
"title_canon_sha256": "deb0443a39e8b144c8640843aff896da944a96a35a9462454456c639792171ed"
},
"schema_version": "1.0",
"source": {
"id": "2204.06806",
"kind": "arxiv",
"version": 1
}
}