Pith Number
pith:X6DTTVPI
pith:2024:X6DTTVPIMQDG6OSL2JTXWOKGZD
not attested
not anchored
not stored
refs pending
Neural Multimodal Topic Modeling: A Comprehensive Evaluation
arxiv:2403.17308 v1 · 2024-03-26 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X6DTTVPIMQDG6OSL2JTXWOKGZD}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:00:48.713376Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bf8739d5e864066f3a4bd2677b3946c8dec740a17559f9043103c639b5e9069c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X6DTTVPIMQDG6OSL2JTXWOKGZD \
| 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: bf8739d5e864066f3a4bd2677b3946c8dec740a17559f9043103c639b5e9069c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c084c3a567f0b04f62e728e8df68cc8b0b8fa4594864e428fa10b6326010602",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-03-26T01:29:46Z",
"title_canon_sha256": "80b5fc96bf9fbb675cc5e4a5ee03e55b472f450dd94540d0946b27e40ba74739"
},
"schema_version": "1.0",
"source": {
"id": "2403.17308",
"kind": "arxiv",
"version": 1
}
}