Pith Number

pith:OXWRS5FD

pith:2023:OXWRS5FDHI5436XWJARXPAMADF

not attested not anchored not stored refs pending

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Chaoning Zhang, Chenshuang Zhang, In So Kweon, Maryam Qamar, Mengchun Zhang, Sheng Zheng, Sung-Ho Bae

arxiv:2303.13336 v2 · 2023-03-23 · cs.SD · cs.AI · cs.LG · cs.MM · eess.AS

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{OXWRS5FDHI5436XWJARXPAMADF}

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 open · sign in to claim

4 Citations open

5 Replications open

✓ 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

7 papers in Pith

Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS

T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges

Inverse Design for Conditional Distribution Matching

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges

Receipt and verification

First computed	2026-07-05T05:57:16.862013Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

75ed1974a33a3bcdfaf64823778180197a5c69a0c80c9de74ab50e75aee476ee

Aliases

arxiv: 2303.13336 · arxiv_version: 2303.13336v2 · doi: 10.48550/arxiv.2303.13336 · pith_short_12: OXWRS5FDHI54 · pith_short_16: OXWRS5FDHI5436XW · pith_short_8: OXWRS5FD

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/OXWRS5FDHI5436XWJARXPAMADF \
  | 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: 75ed1974a33a3bcdfaf64823778180197a5c69a0c80c9de74ab50e75aee476ee

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0f995ca635f68359e29f0ef966256ebed8fb519ca287acef0dbc38125c78c813",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "cs.MM",
      "eess.AS"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2023-03-23T15:17:15Z",
    "title_canon_sha256": "4ddede26293c84d2d5dcdb23fca03eaf1609e541fe76ba8677253c76487362bf"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2303.13336",
    "kind": "arxiv",
    "version": 2
  }
}