Pith Number
pith:VM3I4N2U
pith:2021:VM3I4N2UPXE7LCWOGKWTP2BJQK
not attested
not anchored
not stored
refs pending
Detecting Personality and Emotion Traits in Crowds from Video Sequences
arxiv:2104.12927 v1 · 2021-04-27 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VM3I4N2UPXE7LCWOGKWTP2BJQK}
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 | 2026-07-05T02:35:04.291376Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ab368e37547dc9f58ace32ad37e82982b502a9ae4a3478cfd733413395e462e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VM3I4N2UPXE7LCWOGKWTP2BJQK \
| 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: ab368e37547dc9f58ace32ad37e82982b502a9ae4a3478cfd733413395e462e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "959efacbc5e5a15870f06799caca4c6ada8fe20a005c639c9be1668cb154a530",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-04-27T01:00:16Z",
"title_canon_sha256": "8a5cf07804108052e7fc8297cda5f230c513b858fadd3c1b6d14f86f2d4098a1"
},
"schema_version": "1.0",
"source": {
"id": "2104.12927",
"kind": "arxiv",
"version": 1
}
}