Pith Number
pith:DBG5FU5Z
pith:2024:DBG5FU5Z7IA6ELRFXCGUDKM4PA
not attested
not anchored
not stored
refs pending
Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment
arxiv:2406.17957 v1 · 2024-06-25 · cs.SD · cs.AI · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DBG5FU5Z7IA6ELRFXCGUDKM4PA}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:36:52.928650Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
184dd2d3b9fa01e22e25b88d41a99c7832d29f57a89196285e4b975b7357708f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DBG5FU5Z7IA6ELRFXCGUDKM4PA \
| 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: 184dd2d3b9fa01e22e25b88d41a99c7832d29f57a89196285e4b975b7357708f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ac3f2ebb47578d010abcd8f8dcf317eb9b6bacd9667460655d5449e6b80884e",
"cross_cats_sorted": [
"cs.AI",
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2024-06-25T22:18:52Z",
"title_canon_sha256": "9c3442af7944ed77ccb89bfe846eb15c353243432391fa2e6e8afd2135486ca1"
},
"schema_version": "1.0",
"source": {
"id": "2406.17957",
"kind": "arxiv",
"version": 1
}
}