Pith Number
pith:BVDI2TP5
pith:2019:BVDI2TP5E5J6AQI7EAW67EIOJ6
not attested
not anchored
not stored
refs pending
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks
arxiv:1904.05009 v1 · 2019-04-10 · cs.SD · cs.HC · cs.NE · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVDI2TP5E5J6AQI7EAW67EIOJ6}
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 | 2026-05-17T23:48:54.432887Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d468d4dfd2753e0411f202def910e4faae9f0bdf72840139f490f4ccdeb76fa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVDI2TP5E5J6AQI7EAW67EIOJ6 \
| 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: 0d468d4dfd2753e0411f202def910e4faae9f0bdf72840139f490f4ccdeb76fa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e6882193d32e1d9eefb2b377cd746308f0d4ff04206d112b52b81779e9d1e2e",
"cross_cats_sorted": [
"cs.HC",
"cs.NE",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2019-04-10T05:50:15Z",
"title_canon_sha256": "ba274f6e92a71cbe71f12cf5336bf192d71dd4bfb6e125e849ecdb47edffe4bb"
},
"schema_version": "1.0",
"source": {
"id": "1904.05009",
"kind": "arxiv",
"version": 1
}
}