Pith Number
pith:CYU2DK7M
pith:2025:CYU2DK7MJYHNMHN5Y74CQRSFCP
not attested
not anchored
not stored
refs pending
Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition
arxiv:2501.15063 v1 · 2025-01-25 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CYU2DK7MJYHNMHN5Y74CQRSFCP}
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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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 | 2026-07-05T10:05:23.783209Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1629a1abec4e0ed61dbdc7f828464513e7bf135e7d27ebee57bcb1bdfd3f1ab6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CYU2DK7MJYHNMHN5Y74CQRSFCP \
| 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: 1629a1abec4e0ed61dbdc7f828464513e7bf135e7d27ebee57bcb1bdfd3f1ab6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d15d3e7eb74786425b92eba55e1aad059ef659ffd77e7207ebbb504485a3efb8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-25T03:53:53Z",
"title_canon_sha256": "eb2f32d5232272dec9514c38b44df242196ddf3f0dccbc763db29c22898f3543"
},
"schema_version": "1.0",
"source": {
"id": "2501.15063",
"kind": "arxiv",
"version": 1
}
}