Pith Number
pith:TFGVXW22
pith:2025:TFGVXW22WXN3QJWZSDHQS76LE5
not attested
not anchored
not stored
refs pending
Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap
arxiv:2505.24208 v1 · 2025-05-30 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TFGVXW22WXN3QJWZSDHQS76LE5}
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
Author claim
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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 | 2026-07-05T11:12:44.093253Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
994d5bdb5ab5dbb826d990cf097fcb2746e2da215059b02eee4c5f9dba87ed6d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TFGVXW22WXN3QJWZSDHQS76LE5 \
| 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: 994d5bdb5ab5dbb826d990cf097fcb2746e2da215059b02eee4c5f9dba87ed6d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e6d80481ec1b2d839f66548092a3136264cfcb87e0c99049889a596c42fe224c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-05-30T04:40:08Z",
"title_canon_sha256": "adff9903f5ff9dc5ddc6a22cb11fd5f7cb63d187983c7212f18df781d542e29d"
},
"schema_version": "1.0",
"source": {
"id": "2505.24208",
"kind": "arxiv",
"version": 1
}
}