Pith Number

pith:7SYKVCKY

pith:2026:7SYKVCKYSPG6IAA74ATNJKUTRI

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Text2Score: Generating Sheet Music From Textual Prompts

Abhinaba Roy, Dorien Herremans, Emmanouil Benetos, Francesca Ronchini, Keshav Bhandari, Simon Colton, Sungkyun Chang

Text2Score generates sheet music from text by first using an LLM to create structured measure-wise plans then conditioning a generative model on those plans to output ABC notation.

arxiv:2605.13431 v1 · 2026-05-13 · cs.SD

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

Text2Score consistently outperforms both a pure LLM-based agentic framework and three end-to-end baselines across objective and subjective dimensions.

C2weakest assumption

That the LLM-generated structured plans accurately capture and constrain musical attributes in a way that enables the execution stage to produce valid, high-quality sheet music without introducing errors in harmony, rhythm, or playability.

C3one line summary

A two-stage framework uses an LLM to plan musical structures from text and then generates conditioned ABC notation sheet music, outperforming baselines in expert-validated evaluations.

References

48 extracted · 48 resolved · 1 Pith anchors

[1] We introduce Text2Score, a two-stage framework pair- ing an LLM orchestrator for structural planning with a hierarchical decoder for execution to bridge natural lan- guage prompts and sheet music gene

[2] We present an evaluation framework designed to quan- tify the readability and playability of generated scores, which is further validated by expert musicians

[3] Text2Score: Generating Sheet Music From Textual Prompts 2026 · arXiv:2605.13431

[4] Recent advancements have shifted toward end-to- end training paradigms

[5] musical world 2048

Formal links

1 machine-checked theorem link

Cited by

1 paper in Pith

Text2Score: Generating Sheet Music From Textual Prompts

Receipt and verification

First computed	2026-05-18T02:44:47.179196Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fcb0aa895893cde4001fe026d4aa938a06e2565f82a76e23c3418800fa6e60ea

Aliases

arxiv: 2605.13431 · arxiv_version: 2605.13431v1 · doi: 10.48550/arxiv.2605.13431 · pith_short_12: 7SYKVCKYSPG6 · pith_short_16: 7SYKVCKYSPG6IAA7 · pith_short_8: 7SYKVCKY

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/7SYKVCKYSPG6IAA74ATNJKUTRI \
  | 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: fcb0aa895893cde4001fe026d4aa938a06e2565f82a76e23c3418800fa6e60ea

Canonical record JSON

{
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    "abstract_canon_sha256": "751f0c96bb3d1393bdc73249078ecab7ae02e3691ac9378ca1bb274542f85fcf",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2026-05-13T12:24:41Z",
    "title_canon_sha256": "ec6f41f3529124fca6794299bfb30839d0059b772b8bdda18eee33d45b9e7c59"
  },
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  "source": {
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    "kind": "arxiv",
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