Pith Number

pith:KWWE55OV

pith:2026:KWWE55OVTBMXVEFXWUQZMU5DXN

not attested not anchored not stored refs resolved

Seconds-Aligned PCA-DAC Latent Diffusion for Symbolic-to-Audio Drum Rendering

Dimos Makris, Konstantinos Soiledis, Konstantinos Tsamis, Maximos Kaliakatsos Papakostas

A latent diffusion model predicts principal-component coordinates of a frozen audio codec to render drum audio from symbolic timing with better spectral and transient accuracy than regression.

arxiv:2605.13404 v1 · 2026-05-13 · cs.SD

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\usepackage{pith}
\pithnumber{KWWE55OVTBMXVEFXWUQZMU5DXN}

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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.

Claims

C1strongest claim

Across 1,733 held-out four-beat windows, PCA diffusion improves paired spectral and transient metrics over deterministic PCA regression and a symbolic rendering baseline, while direct regression remains stronger on phase-sensitive waveform L1.

C2weakest assumption

That the 72 principal components derived from training data via SVD threshold sufficiently represent the variations needed for high-quality reconstruction of held-out drum audio when decoded through the frozen DAC.

C3one line summary

Sec2Drum-DAC renders drum audio from symbolic inputs via diffusion on PCA-reduced DAC latents, improving spectral and transient metrics over regression baselines on 1733 held-out windows.

References

33 extracted · 33 resolved · 4 Pith anchors

[1] Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, and David Ha 1906 · arXiv:1906.02569

[2] MusicLM: Generating Music From Text 2023 · arXiv:2301.11325

[3] madmom: A new Python audio and music signal processing library 2016

[4] AudioLM: A language modeling approach to audio generation.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31:2523–2533, 2023 2023

[5] DARC: Drum accompaniment generation with fine-grained rhythm control 2026

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-18T02:44:47.547674Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

55ac4ef5d598597a90b7b5219653a3bb5ca230c33ad018d541eb9147a2046399

Aliases

arxiv: 2605.13404 · arxiv_version: 2605.13404v1 · doi: 10.48550/arxiv.2605.13404 · pith_short_12: KWWE55OVTBMX · pith_short_16: KWWE55OVTBMXVEFX · pith_short_8: KWWE55OV

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/KWWE55OVTBMXVEFXWUQZMU5DXN \
  | 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: 55ac4ef5d598597a90b7b5219653a3bb5ca230c33ad018d541eb9147a2046399

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "639fb56052a11e305ba9aba92395e9a5e1ef502b756579901ec7f778e7212b51",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2026-05-13T11:59:41Z",
    "title_canon_sha256": "d8776fa4f40c70e8c5f041221fda928eb31219689dd0ff0788e3a75ced7d892d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13404",
    "kind": "arxiv",
    "version": 1
  }
}