Pith Number
pith:7UNODT5S
pith:2024:7UNODT5SIUNYQKJMHIRR7ZLSXH
not attested
not anchored
not stored
refs pending
A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing
arxiv:2409.00087 v1 · 2024-08-26 · eess.SP · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7UNODT5SIUNYQKJMHIRR7ZLSXH}
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.
Receipt and verification
| First computed | 2026-07-05T09:01:40.716355Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd1ae1cfb2451b88292c3a231fe572b9d24251c1d8cb4c6108e9893f7b4b7cbf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7UNODT5SIUNYQKJMHIRR7ZLSXH \
| 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: fd1ae1cfb2451b88292c3a231fe572b9d24251c1d8cb4c6108e9893f7b4b7cbf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "27f3ecb021e9f2047b2f08062574814ba123bd79e59eb5bbbeb9327d64929638",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2024-08-26T02:57:23Z",
"title_canon_sha256": "87b3113ddb4b0d492b94e674fadef2f31067418d15ed3631e6e101ac42f583bc"
},
"schema_version": "1.0",
"source": {
"id": "2409.00087",
"kind": "arxiv",
"version": 1
}
}