Pith Number
pith:HSZRPA3A
pith:2019:HSZRPA3AITQEJHWSXZK2U3DMCH
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refs pending
A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks
arxiv:1907.11272 v4 · 2019-07-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HSZRPA3AITQEJHWSXZK2U3DMCH}
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
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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 | 2026-07-05T02:22:34.001863Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3cb317836044e0449ed2be55aa6c6c11e3fdc54c011317033a01885cb5253f09
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HSZRPA3AITQEJHWSXZK2U3DMCH \
| 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: 3cb317836044e0449ed2be55aa6c6c11e3fdc54c011317033a01885cb5253f09
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5b40c37f6bc8e8582097a7e2e828d8b19b6098a4f813fe007f46dd610c5c2f6a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-07-25T18:48:59Z",
"title_canon_sha256": "07e12db584ab0dad31e0876796b495fd92f8982d2508ae3d84d80ed0447872c3"
},
"schema_version": "1.0",
"source": {
"id": "1907.11272",
"kind": "arxiv",
"version": 4
}
}