Pith Number
pith:W5AZ2YAO
pith:2024:W5AZ2YAO5N5SWS76YEUHCEZMTS
not attested
not anchored
not stored
refs pending
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
arxiv:2401.08508 v2 · 2024-01-16 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W5AZ2YAO5N5SWS76YEUHCEZMTS}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:59:05.317461Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b7419d600eeb7b2b4bfec12871132c9c97a82d31a4dac42d978e526006ea5c2b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W5AZ2YAO5N5SWS76YEUHCEZMTS \
| 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: b7419d600eeb7b2b4bfec12871132c9c97a82d31a4dac42d978e526006ea5c2b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d64d3dc4c48febaea09a28a5e8f6943517e97a4ed3a4c69e8f4b57b86a9c0fb",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-01-16T17:11:11Z",
"title_canon_sha256": "566a0cc4ecd9fa29ce0be66e3a84f74b3be1ee947b7ad30043c07e160f3abd68"
},
"schema_version": "1.0",
"source": {
"id": "2401.08508",
"kind": "arxiv",
"version": 2
}
}