Pith Number
pith:XFM7CFI6
pith:2021:XFM7CFI6Y55KQ3SSECO726OCJX
not attested
not anchored
not stored
refs pending
Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models
arxiv:2105.01134 v2 · 2021-05-03 · eess.AS · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XFM7CFI6Y55KQ3SSECO726OCJX}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T03:17:02.930482Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b959f1151ec77aa86e52209dfd79c24dd8c376e9e88b5cb95cdbf8cf761daec8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XFM7CFI6Y55KQ3SSECO726OCJX \
| 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: b959f1151ec77aa86e52209dfd79c24dd8c376e9e88b5cb95cdbf8cf761daec8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "18541c04e5fa584843a7dcd314f5ca2de2da6ed4da5b7d5ecbc635efe0fcc241",
"cross_cats_sorted": [
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2021-05-03T19:23:58Z",
"title_canon_sha256": "2a912595ac312c068fe793f7cf8296fd098229e0d4c5fb0d6e7bb679801cc84b"
},
"schema_version": "1.0",
"source": {
"id": "2105.01134",
"kind": "arxiv",
"version": 2
}
}