Pith Number
pith:AYNVNMPV
pith:2024:AYNVNMPVP76IXXABMWLUHIQGPZ
not attested
not anchored
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refs pending
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
arxiv:2411.15408 v1 · 2024-11-23 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AYNVNMPVP76IXXABMWLUHIQGPZ}
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
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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 | 2026-07-05T09:39:34.079580Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
061b56b1f57ffc8bdc01659743a2067e7acab0c7454b2201dea8b1dde0399229
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AYNVNMPVP76IXXABMWLUHIQGPZ \
| 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: 061b56b1f57ffc8bdc01659743a2067e7acab0c7454b2201dea8b1dde0399229
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6418e654f464e99d593574b558d3c677d717b39873b53bcf714bc3d7636d3fd3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-11-23T02:17:10Z",
"title_canon_sha256": "9f0d9c6518df58ba7cd7213d7b21ef90fbf494c3dc4fa5f7457fe67ba2efe198"
},
"schema_version": "1.0",
"source": {
"id": "2411.15408",
"kind": "arxiv",
"version": 1
}
}