Pith Number
pith:MXDAUGNG
pith:2023:MXDAUGNGXA4S7ZJPKKZEKKTSRZ
not attested
not anchored
not stored
refs pending
Boosting Large Language Model for Speech Synthesis: An Empirical Study
arxiv:2401.00246 v1 · 2023-12-30 · cs.CL · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MXDAUGNGXA4S7ZJPKKZEKKTSRZ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:29:02.756380Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65c60a19a6b8392fe52f52b2452a728e458a58c6c5dfb114a052ea7f1e1f9d78
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MXDAUGNGXA4S7ZJPKKZEKKTSRZ \
| 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: 65c60a19a6b8392fe52f52b2452a728e458a58c6c5dfb114a052ea7f1e1f9d78
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1665e88f4b95394b8b1e9d9b33d988d028d4cef0509068ead0bc6eda417c82b1",
"cross_cats_sorted": [
"cs.SD",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-12-30T14:20:04Z",
"title_canon_sha256": "6d99643f6393868c939e1bc235e85d390d5a3f2230490673d60e0f15a32f7d7a"
},
"schema_version": "1.0",
"source": {
"id": "2401.00246",
"kind": "arxiv",
"version": 1
}
}