pith:CUN64YEZ
UKP_Psycontrol at SemEval-2026 Task 2: Modeling Valence and Arousal Dynamics from Text
LLMs capture current emotions from text well, but recent numeric trajectories explain short-term changes better than text semantics.
arxiv:2604.21534 v2 · 2026-04-23 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CUN64YEZODRN37IIR3JG3DAU6C}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
Our findings indicate that LLMs effectively capture static affective signals from text, whereas short-term affective variation in this dataset is more strongly explained by recent numeric state trajectories than by textual semantics.
That the SemEval-2026 Task 2 dataset and evaluation metric provide a valid test of real-world affective dynamics modeling, with no major biases in the chronologically ordered texts or labels.
LLMs capture static affective signals from text effectively, but short-term affective variation is better explained by recent numeric state trajectories than by textual semantics in this dataset.
Receipt and verification
| First computed | 2026-05-28T01:05:12.375179Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
151bee609970e2ddfd088ed26d8c14f088c60c64e56160f1156a26de111440b1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CUN64YEZODRN37IIR3JG3DAU6C \
| 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: 151bee609970e2ddfd088ed26d8c14f088c60c64e56160f1156a26de111440b1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6732d33631b92e69f38e514b49d6d0730859fcf4f84368d7d7cec2301a1b1a97",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-04-23T10:55:27Z",
"title_canon_sha256": "4b2c5cdc610a24350bd6c9d10057f271aef8175aa1c582ff704c29be0199c293"
},
"schema_version": "1.0",
"source": {
"id": "2604.21534",
"kind": "arxiv",
"version": 2
}
}