Pith Number
pith:5AZOVKMU
pith:2023:5AZOVKMUHOQ3YDLEQK6IGHHEJT
not attested
not anchored
not stored
refs pending
A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation
arxiv:2308.08849 v1 · 2023-08-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5AZOVKMUHOQ3YDLEQK6IGHHEJT}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:42:12.546078Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e832eaa9943ba1bc0d6482bc831ce44cf010446220ff76bf6c622671803c55de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5AZOVKMUHOQ3YDLEQK6IGHHEJT \
| 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: e832eaa9943ba1bc0d6482bc831ce44cf010446220ff76bf6c622671803c55de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d282a730218ab9effb48d2ff45e80f510df5c53b4067fafb0a95f7532259a09d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-08-17T08:15:51Z",
"title_canon_sha256": "e3032ac1715726f138547c1baa3cc74f5ece6289b7eda1ce24b1f7e518733417"
},
"schema_version": "1.0",
"source": {
"id": "2308.08849",
"kind": "arxiv",
"version": 1
}
}