Pith Number
pith:4TMMDZFQ
pith:2025:4TMMDZFQOV5WADWOLZN2ZMKGDA
not attested
not anchored
not stored
refs pending
MVP: Multimodal Emotion Recognition based on Video and Physiological Signals
arxiv:2501.03103 v1 · 2025-01-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4TMMDZFQOV5WADWOLZN2ZMKGDA}
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
· sign in to
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.
Receipt and verification
| First computed | 2026-07-05T09:57:31.777402Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4d8c1e4b0757b600ece5e5bacb146183df853b2f8b7e3b9543dac15825e1d12
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4TMMDZFQOV5WADWOLZN2ZMKGDA \
| 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: e4d8c1e4b0757b600ece5e5bacb146183df853b2f8b7e3b9543dac15825e1d12
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c2ac03b830f94c901404adee901176810556530ad8153d7ab99da03e40b1a47",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-06T16:09:22Z",
"title_canon_sha256": "c930ce4e0a415909fce05fcb99d3a44ab2cd816b23fdd893b2362e47a3ee9707"
},
"schema_version": "1.0",
"source": {
"id": "2501.03103",
"kind": "arxiv",
"version": 1
}
}