Pith Number
pith:D3AKQBNJ
pith:2025:D3AKQBNJ3DHB2VC5SXJMY6AU2B
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not stored
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VT-LVLM-AR: A Video-Temporal Large Vision-Language Model Adapter for Fine-Grained Action Recognition in Long-Term Videos
arxiv:2508.15903 v1 · 2025-08-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D3AKQBNJ3DHB2VC5SXJMY6AU2B}
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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4
Citations
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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 | 2026-07-05T11:57:22.682090Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ec0a805a9d8ce1d545d95d2cc7814d04d05bea2550e3ece2a0c7bdc404eede3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D3AKQBNJ3DHB2VC5SXJMY6AU2B \
| 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: 1ec0a805a9d8ce1d545d95d2cc7814d04d05bea2550e3ece2a0c7bdc404eede3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84639562efee0d8474543107d11ffe2ff05bb9da47eb64e171f1c9f17698dfbb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-21T18:03:16Z",
"title_canon_sha256": "4dd7d54f9e0ec3fa24ed963875b21dc58d272d0f9088faa953721c99c0cb8a76"
},
"schema_version": "1.0",
"source": {
"id": "2508.15903",
"kind": "arxiv",
"version": 1
}
}