Pith Number
pith:GMS5JFQT
pith:2016:GMS5JFQTU3LV25VCI3ZREQPSRZ
not attested
not anchored
not stored
refs pending
A Unit Selection Methodology for Music Generation Using Deep Neural Networks
arxiv:1612.03789 v1 · 2016-12-12 · cs.SD · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMS5JFQTU3LV25VCI3ZREQPSRZ}
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
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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.
Receipt and verification
| First computed | 2026-05-18T00:54:52.323611Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3325d49613a6d75d76a246f31241f28e5ec0be1c222e73b0a974c1a69687abdd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMS5JFQTU3LV25VCI3ZREQPSRZ \
| 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: 3325d49613a6d75d76a246f31241f28e5ec0be1c222e73b0a974c1a69687abdd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7c7cf79134f764976dd898ed8739d5d4682e01daeae49c0e0f46b6d1cdf2ea4",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2016-12-12T17:06:19Z",
"title_canon_sha256": "1dc35a3e7d68137bccd115ce5074bb95b43f9eacf67a9b778a859fbce864fdff"
},
"schema_version": "1.0",
"source": {
"id": "1612.03789",
"kind": "arxiv",
"version": 1
}
}