Pith Number
pith:WKEPV2Y7
pith:2025:WKEPV2Y7VQYCAVACXDMCVWY3BO
not attested
not anchored
not stored
refs pending
Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
arxiv:2505.21547 v1 · 2025-05-24 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WKEPV2Y7VQYCAVACXDMCVWY3BO}
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 | 2026-07-05T11:10:59.721245Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b288faeb1fac30205402b8d82adb1b0b8d1bac4ef57e28c4364c752df8a739d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WKEPV2Y7VQYCAVACXDMCVWY3BO \
| 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: b288faeb1fac30205402b8d82adb1b0b8d1bac4ef57e28c4364c752df8a739d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49d98e28fcb0816d6ca006cb58bb0a1a3af5c1ae2fff4f7c2e7f8cc55163cd2e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-24T22:36:15Z",
"title_canon_sha256": "949bc0bf7c32a362508ec0bb7bff0723a2a8717ce80999856b484ed618fa5b59"
},
"schema_version": "1.0",
"source": {
"id": "2505.21547",
"kind": "arxiv",
"version": 1
}
}