Pith Number
pith:FGXG37OF
pith:2024:FGXG37OFBCZJMS7TBU4OD7JXTU
not attested
not anchored
not stored
refs pending
Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving
arxiv:2407.21030 v1 · 2024-07-15 · eess.AS · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FGXG37OFBCZJMS7TBU4OD7JXTU}
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
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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 | 2026-07-05T08:50:32.200065Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29ae6dfdc508b2964bf30d38e1fd379d2f61437b8ab53b2e54a886f30cd596e5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FGXG37OFBCZJMS7TBU4OD7JXTU \
| 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: 29ae6dfdc508b2964bf30d38e1fd379d2f61437b8ab53b2e54a886f30cd596e5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "27924bc70c406eb3e5993aa5769a754067576197e4f82ca6c9613c510ff023d7",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2024-07-15T14:36:13Z",
"title_canon_sha256": "29a512060ef610c0fa37a696cd8dc7fbd43c1c575d68a19c63fff45f798cfc78"
},
"schema_version": "1.0",
"source": {
"id": "2407.21030",
"kind": "arxiv",
"version": 1
}
}