Pith Number
pith:XQL6PZJZ
pith:2018:XQL6PZJZUCMS577EMIMLGZCSGC
not attested
not anchored
not stored
refs pending
Dimensional emotion recognition using visual and textual cues
arxiv:1805.01416 v1 · 2018-05-03 · cs.AI · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XQL6PZJZUCMS577EMIMLGZCSGC}
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 | 2026-05-18T00:16:51.485748Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bc17e7e539a0992effe46218b36452308450699bbfce4d56496fd013a53a93a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XQL6PZJZUCMS577EMIMLGZCSGC \
| 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: bc17e7e539a0992effe46218b36452308450699bbfce4d56496fd013a53a93a9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3d676687f1537f7f2449d5474920c822d697e02b41f7433515e05bb9c851ad1c",
"cross_cats_sorted": [
"cs.CL",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2018-05-03T16:42:20Z",
"title_canon_sha256": "79cf28e7cc1de66cdafec849a2bb4edcf86b0d7602bcaea1c17df86069aa49f1"
},
"schema_version": "1.0",
"source": {
"id": "1805.01416",
"kind": "arxiv",
"version": 1
}
}