Pith Number
pith:XW7BOJHQ
pith:2026:XW7BOJHQDSTR46BSV6SNKN5FAW
not attested
not anchored
not stored
refs pending
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text
arxiv:2602.11933 v2 · 2026-02-12 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XW7BOJHQDSTR46BSV6SNKN5FAW}
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 | 2026-06-25T01:17:50.342769Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bdbe1724f01ca71e7832afa4d537a505b579e65c08cd7f1ac7ffa526ff6aa605
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XW7BOJHQDSTR46BSV6SNKN5FAW \
| 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: bdbe1724f01ca71e7832afa4d537a505b579e65c08cd7f1ac7ffa526ff6aa605
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "86dcbd4a41a01b729f1c41cffe37f4f21b46272292905653ae9ad1a4e5ab39e8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-02-12T13:30:12Z",
"title_canon_sha256": "ffad25501dfea44479bc9f1bfc356ce86d6b7c0670f5c9486ddbd31cd5269d2b"
},
"schema_version": "1.0",
"source": {
"id": "2602.11933",
"kind": "arxiv",
"version": 2
}
}