Pith Number
pith:OYGGK2WS
pith:2025:OYGGK2WSTTK6K2Q4WINSBOJX7Y
not attested
not anchored
not stored
refs pending
The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence
arxiv:2505.23420 v1 · 2025-05-29 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OYGGK2WSTTK6K2Q4WINSBOJX7Y}
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 | 2026-07-05T11:12:01.482327Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
760c656ad29cd5e56a1cb21b20b937fe21cee831a3c21366f6e9a8c471a65b6d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OYGGK2WSTTK6K2Q4WINSBOJX7Y \
| 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: 760c656ad29cd5e56a1cb21b20b937fe21cee831a3c21366f6e9a8c471a65b6d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c9400e75be998582421932c37a7bef1476c46ee9457c8c3cc93979cf1a32db8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-29T13:10:57Z",
"title_canon_sha256": "4fd24b2b5687d499911d6db0bee9b391b389cd312148943ef1722a2e2132acc7"
},
"schema_version": "1.0",
"source": {
"id": "2505.23420",
"kind": "arxiv",
"version": 1
}
}