Pith Number
pith:FZVU5FFM
pith:2025:FZVU5FFMX5PVNK6NUXSMJZAYSG
not attested
not anchored
not stored
refs pending
Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward
arxiv:2506.03191 v1 · 2025-05-31 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FZVU5FFMX5PVNK6NUXSMJZAYSG}
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 | 2026-07-05T11:15:22.829820Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e6b4e94acbf5f56abcda5e4c4e41891b46469306c8e67b76c0f497e0ee90214
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FZVU5FFMX5PVNK6NUXSMJZAYSG \
| 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: 2e6b4e94acbf5f56abcda5e4c4e41891b46469306c8e67b76c0f497e0ee90214
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6ef0545013f470d5ce5ee9dc42f95aea347a4d2e807765eabaf58e5762762d09",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-31T11:02:24Z",
"title_canon_sha256": "ee6a86840bd91ae7a93f5bffc1b31da36f42b4e5c40da7128cb31ce9ed5dceea"
},
"schema_version": "1.0",
"source": {
"id": "2506.03191",
"kind": "arxiv",
"version": 1
}
}