Pith Number
pith:HNPX7WVG
pith:2025:HNPX7WVGRVO7UVZT4GYCBJSWD5
not attested
not anchored
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refs pending
LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding
arxiv:2501.08282 v2 · 2025-01-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HNPX7WVGRVO7UVZT4GYCBJSWD5}
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 | 2026-07-05T11:13:18.583337Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b5f7fdaa68d5dfa5733e1b020a6561f4aa2a9274c11cba7d6ac03c86f7c2005
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HNPX7WVGRVO7UVZT4GYCBJSWD5 \
| 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: 3b5f7fdaa68d5dfa5733e1b020a6561f4aa2a9274c11cba7d6ac03c86f7c2005
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "52e6c6ea1fe9052ce2bf42582a78458f274d464c4e1abaa9ef1163d7194a4e9e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-14T17:58:12Z",
"title_canon_sha256": "d864023f48172fcbcb7234a816144200eea03bbc4bf0603f647a1e52b0c85bac"
},
"schema_version": "1.0",
"source": {
"id": "2501.08282",
"kind": "arxiv",
"version": 2
}
}