Pith Number
pith:7YLXSWIJ
pith:2026:7YLXSWIJC5GURHAWP3XTFBZVOX
not attested
not anchored
not stored
refs pending
Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?
arxiv:2607.12787 v1 · 2026-07-14 · cs.AI · cs.CL · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7YLXSWIJC5GURHAWP3XTFBZVOX}
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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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 | 2026-07-15T01:22:17.918747Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe17795909174d489c167eef32873575d2e77bafc17b13317f48f55b5a0e0438
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YLXSWIJC5GURHAWP3XTFBZVOX \
| 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: fe17795909174d489c167eef32873575d2e77bafc17b13317f48f55b5a0e0438
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5cb9b74f95561e08f365b65ef64a370f77a2f2a2a7b4e73479b9885f9ff7db7b",
"cross_cats_sorted": [
"cs.CL",
"cs.CV",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-14T14:01:29Z",
"title_canon_sha256": "4b2e637a7305f80c01a1857c590c372c959660ca5de7a26747c13225678957d5"
},
"schema_version": "1.0",
"source": {
"id": "2607.12787",
"kind": "arxiv",
"version": 1
}
}