Pith Number
pith:TL4H77GR
pith:2024:TL4H77GRG3TWTGOOSX32GILN27
not attested
not anchored
not stored
refs pending
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
arxiv:2406.14492 v1 · 2024-06-20 · cs.CV · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TL4H77GRG3TWTGOOSX32GILN27}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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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 | 2026-07-05T08:34:51.501155Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9af87ffcd136e76999ce95f7a3216dd7e58529e27d4e997a2dd06ebbc5774722
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TL4H77GRG3TWTGOOSX32GILN27 \
| 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: 9af87ffcd136e76999ce95f7a3216dd7e58529e27d4e997a2dd06ebbc5774722
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1215fb8b8fa722eb366d1c58d5991cd6e4734c4801571f00ad90b89b2598e10d",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-06-20T16:56:11Z",
"title_canon_sha256": "b504993cb37173bef9bf7450ec19aa4e85617a8dc7219d0948dff49549ef9e00"
},
"schema_version": "1.0",
"source": {
"id": "2406.14492",
"kind": "arxiv",
"version": 1
}
}