Pith Number
pith:LTINPJWF
pith:2022:LTINPJWFB3NIVJH2KXDGHZK3A6
not attested
not anchored
not stored
refs pending
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data
arxiv:2211.01342 v1 · 2022-11-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTINPJWFB3NIVJH2KXDGHZK3A6}
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 | 2026-07-05T05:12:46.159652Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cd0d7a6c50eda8aa4fa55c663e55b07992e64950f2f470965c7895364f30a1d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTINPJWFB3NIVJH2KXDGHZK3A6 \
| 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: 5cd0d7a6c50eda8aa4fa55c663e55b07992e64950f2f470965c7895364f30a1d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1eb84461b1b7ec7bd83feef4630a79a8d02149f476999528baf4963f95b3f751",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-11-02T17:51:56Z",
"title_canon_sha256": "fd76e49b3d684877023a1206f24a45027fdab5336688049c4cb709c43034c37d"
},
"schema_version": "1.0",
"source": {
"id": "2211.01342",
"kind": "arxiv",
"version": 1
}
}