Pith Number
pith:KYM24DLW
pith:2025:KYM24DLWKDJ57YCKL46G6XFEDI
not attested
not anchored
not stored
refs pending
LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations
arxiv:2501.11468 v1 · 2025-01-20 · eess.AS · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KYM24DLWKDJ57YCKL46G6XFEDI}
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 | 2026-07-05T10:03:08.975707Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5619ae0d7650d3dfe04a5f3c6f5ca41a0b86fc69d71d673946bc491b5009505d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KYM24DLWKDJ57YCKL46G6XFEDI \
| 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: 5619ae0d7650d3dfe04a5f3c6f5ca41a0b86fc69d71d673946bc491b5009505d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f54389012e63cddc0a260e653fa23c76e0433c663e48f0800586eb7657907b42",
"cross_cats_sorted": [
"cs.SD"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2025-01-20T12:56:02Z",
"title_canon_sha256": "99513491ffdeacee6aa302ed5fa191f54b89983b53ef192ac7ff646a1f1f0132"
},
"schema_version": "1.0",
"source": {
"id": "2501.11468",
"kind": "arxiv",
"version": 1
}
}