Pith Number
pith:MVJXYQYB
pith:2022:MVJXYQYBCQBZEOAIYNUM2YSTAQ
not attested
not anchored
not stored
refs pending
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
arxiv:2206.05511 v1 · 2022-06-11 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MVJXYQYBCQBZEOAIYNUM2YSTAQ}
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 | 2026-07-05T04:31:00.134550Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65537c43011403923808c368cd6253041f3f9447726a722166ad871c45da7abc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MVJXYQYBCQBZEOAIYNUM2YSTAQ \
| 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: 65537c43011403923808c368cd6253041f3f9447726a722166ad871c45da7abc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d94367dc643e24c0f131542b80778fb846c1a39a35fe04c4fac006a07c2a4595",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-06-11T12:12:20Z",
"title_canon_sha256": "e393d0993690ad68026cd80f914db2bb4473923ec33b9d1ea5ff31213e775f4a"
},
"schema_version": "1.0",
"source": {
"id": "2206.05511",
"kind": "arxiv",
"version": 1
}
}