Pith Number
pith:YTJQQ2OJ
pith:2025:YTJQQ2OJ2VJOZLZBF5XIX24EJR
not attested
not anchored
not stored
refs pending
CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models
arxiv:2506.23590 v1 · 2025-06-30 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YTJQQ2OJ2VJOZLZBF5XIX24EJR}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:29:24.494748Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c4d30869c9d552ecaf212f6e8beb844c4a566e6e82604288d0a3ba942ccbc9d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YTJQQ2OJ2VJOZLZBF5XIX24EJR \
| 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: c4d30869c9d552ecaf212f6e8beb844c4a566e6e82604288d0a3ba942ccbc9d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aea7cf16069373dfed04c56939fdfd988e468577fe5baf326ead3e6cb68b9d9e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-30T07:52:36Z",
"title_canon_sha256": "a084df524712b75a7491de254f6aa2a173017c848acfe9fce01ba0e55227e7d2"
},
"schema_version": "1.0",
"source": {
"id": "2506.23590",
"kind": "arxiv",
"version": 1
}
}