Pith Number
pith:HJSVNFU7
pith:2025:HJSVNFU7IRRZM73IE7K5AQNNI5
not attested
not anchored
not stored
refs pending
Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese
arxiv:2505.11200 v1 · 2025-05-16 · cs.SD · cs.AI · cs.CL · cs.HC · cs.LG · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HJSVNFU7IRRZM73IE7K5AQNNI5}
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 | 2026-07-05T11:04:12.649410Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a6556969f4463967f6827d5d041ad47440fd35701604768c090838ebd500a76
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HJSVNFU7IRRZM73IE7K5AQNNI5 \
| 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: 3a6556969f4463967f6827d5d041ad47440fd35701604768c090838ebd500a76
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "437ba93f3410a8423d29d60b44efb7ee02a94a42f4a0c50e80dc67571d2f3695",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.HC",
"cs.LG",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2025-05-16T12:57:23Z",
"title_canon_sha256": "67a2e27e44664e24a58a10f782c06a89570205557ac636e8b924a6cd5dd7a655"
},
"schema_version": "1.0",
"source": {
"id": "2505.11200",
"kind": "arxiv",
"version": 1
}
}