Pith Number
pith:WCBNEV3S
pith:2023:WCBNEV3S5VRTI6SUEIHD7CDCR3
not attested
not anchored
not stored
refs pending
Is end-to-end learning enough for fitness activity recognition?
arxiv:2305.08191 v1 · 2023-05-14 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WCBNEV3S5VRTI6SUEIHD7CDCR3}
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 | 2026-07-05T06:09:58.630600Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b082d25772ed63347a54220e3f88628ec8ecf011ebb92cf0546cb7138da7de9e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WCBNEV3S5VRTI6SUEIHD7CDCR3 \
| 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: b082d25772ed63347a54220e3f88628ec8ecf011ebb92cf0546cb7138da7de9e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e0680bf36ee04df7370d5311f28d08cad19fafed71752bad040262af22d0b336",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-05-14T16:00:03Z",
"title_canon_sha256": "9a08f41ce67e5e6bc532847ef8838c1f448dcef828656c5c3d78eec35798f1d3"
},
"schema_version": "1.0",
"source": {
"id": "2305.08191",
"kind": "arxiv",
"version": 1
}
}