Pith Number
pith:COR4ORQD
pith:2025:COR4ORQDNHNYCEO22AJ4RXSF23
not attested
not anchored
not stored
refs pending
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow
arxiv:2501.16698 v1 · 2025-01-28 · cs.CL · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{COR4ORQDNHNYCEO22AJ4RXSF23}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:06:17.305441Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
13a3c7460369db8111dad013c8de45d6e08e755379028f5b3bb523344c180f6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/COR4ORQDNHNYCEO22AJ4RXSF23 \
| 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: 13a3c7460369db8111dad013c8de45d6e08e755379028f5b3bb523344c180f6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ad0c69a70b149e308debc7fd4231bd0179385672bd98b076b6e008b8264aa345",
"cross_cats_sorted": [
"cs.CV",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-28T04:31:19Z",
"title_canon_sha256": "acd05e678cdeaee6706252f84ce6fe608f52ea4a6fd73e9fe62ee581219c89e6"
},
"schema_version": "1.0",
"source": {
"id": "2501.16698",
"kind": "arxiv",
"version": 1
}
}