Pith Number
pith:Y3KWGATL
pith:2023:Y3KWGATLSAYB6KPBAFQWIFOKQU
not attested
not anchored
not stored
refs pending
Multi-Dimensional and Multi-Scale Modeling for Speech Separation Optimized by Discriminative Learning
arxiv:2303.03737 v1 · 2023-03-07 · cs.SD · cs.LG · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y3KWGATLSAYB6KPBAFQWIFOKQU}
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 | 2026-07-05T05:48:58.574312Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c6d563026b90301f29e101616415ca850bf98b75e57474887a30d2187dbcaa33
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y3KWGATLSAYB6KPBAFQWIFOKQU \
| 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: c6d563026b90301f29e101616415ca850bf98b75e57474887a30d2187dbcaa33
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "841758ff6be586f3b6bd259cdc6b47b5e3d67fd36de7956943ee96c19cda9b66",
"cross_cats_sorted": [
"cs.LG",
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2023-03-07T08:53:20Z",
"title_canon_sha256": "3f58c735fd21f280388ad4900d4f19e0891cbabceefa17756241e8fdffe07359"
},
"schema_version": "1.0",
"source": {
"id": "2303.03737",
"kind": "arxiv",
"version": 1
}
}