Pith Number
pith:7SYRR3VB
pith:2026:7SYRR3VBEYZNVKZDGFCYSAL2NQ
not attested
not anchored
not stored
refs pending
VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation
arxiv:2605.18547 v1 · 2026-05-18 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7SYRR3VBEYZNVKZDGFCYSAL2NQ}
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.
Receipt and verification
| First computed | 2026-05-20T00:06:07.075013Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fcb118eea12632daab23314589017a6c392b7d7f16449f380c46cf017b779946
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7SYRR3VBEYZNVKZDGFCYSAL2NQ \
| 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: fcb118eea12632daab23314589017a6c392b7d7f16449f380c46cf017b779946
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c96df8125ff15969bd55dfc5ad2ae2a6d6c4e20db94d4bc2c2f1e8bb7b7a0ed",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-18T15:27:10Z",
"title_canon_sha256": "8f4241e5787ca1ab09335f58911b0ed983eb33f507a74410f70db2d747af1ab6"
},
"schema_version": "1.0",
"source": {
"id": "2605.18547",
"kind": "arxiv",
"version": 1
}
}