pith:B7KWVUBZ
BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps
Uniform beat steps in music tokenization improve generation quality and long-range pattern capture compared to event-based methods.
arxiv:2604.19532 v2 · 2026-04-21 · cs.SD · cs.AI
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\pithnumber{B7KWVUBZ56N5BWEHYY4IFNPMX6}
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Record completeness
Claims
Results show improved musical quality and structural coherence, while additional analyses confirm higher efficiency and more effective capture of long-range patterns with the proposed tokenization.
That discretizing music into uniform beat-length steps and collapsing same-pitch events within each step into single tokens preserves all musically relevant information without introducing unacceptable loss or ambiguity compared with variable-duration event encodings.
BEAT tokenizes symbolic music by uniform beat steps with sparse per-beat pitch encodings, producing higher quality and more coherent music continuation and accompaniment than event-based tokenizations.
Receipt and verification
| First computed | 2026-05-29T01:05:10.193433Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0fd56ad039ef9bd0d887c63882b5ecbf9193a778dfe6136c517381a022da4a4c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B7KWVUBZ56N5BWEHYY4IFNPMX6 \
| 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: 0fd56ad039ef9bd0d887c63882b5ecbf9193a778dfe6136c517381a022da4a4c
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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