Pith Number
pith:EQBSGNN6
pith:2025:EQBSGNN64PTG3I3LUW4G6YNIF7
not attested
not anchored
not stored
refs pending
How Do Diffusion Models Improve Adversarial Robustness?
arxiv:2505.22839 v1 · 2025-05-28 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EQBSGNN64PTG3I3LUW4G6YNIF7}
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.
Receipt and verification
| First computed | 2026-07-05T11:11:50.655419Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
24032335bee3e66da36ba5b86f61a82fe6c48da5b164bac576886026f0bd3b1e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EQBSGNN64PTG3I3LUW4G6YNIF7 \
| 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: 24032335bee3e66da36ba5b86f61a82fe6c48da5b164bac576886026f0bd3b1e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1008f8c01354359b136b7cf6365dc20ca9757b14e07da0b2d23fcbf27b70f0f4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-28T20:19:21Z",
"title_canon_sha256": "07c4b3515f567d2cd1bb5a34983eea28c735ad207abaf603b7b26ba5132e933e"
},
"schema_version": "1.0",
"source": {
"id": "2505.22839",
"kind": "arxiv",
"version": 1
}
}