Pith Number
pith:ZLF3BFQ7
pith:2024:ZLF3BFQ7F53DDLWM63PGKYGOLK
not attested
not anchored
not stored
refs pending
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition
arxiv:2412.13541 v4 · 2024-12-18 · cs.CV · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZLF3BFQ7F53DDLWM63PGKYGOLK}
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.
Receipt and verification
| First computed | 2026-07-05T11:14:51.610705Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cacbb0961f2f7631aeccf6de6560ce5abc5512fa2f5ae7e13c5c1dbeabffc540
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZLF3BFQ7F53DDLWM63PGKYGOLK \
| 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: cacbb0961f2f7631aeccf6de6560ce5abc5512fa2f5ae7e13c5c1dbeabffc540
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c644378be2a6d93d2567ecfbe0cc688f69d1c955d6321f6c8e72f8940b36cf66",
"cross_cats_sorted": [
"cs.LG",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-18T06:40:53Z",
"title_canon_sha256": "54d0d604953ac61721da6dfe44d354a82899d21059daa6abc8d413005d028433"
},
"schema_version": "1.0",
"source": {
"id": "2412.13541",
"kind": "arxiv",
"version": 4
}
}