Pith Number
pith:GUBJZMGJ
pith:2017:GUBJZMGJFIGAK6DY7YGFVZDOZF
not attested
not anchored
not stored
refs pending
PROSE: Perceptual Risk Optimization for Speech Enhancement
arxiv:1710.03975 v1 · 2017-10-11 · eess.AS · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GUBJZMGJFIGAK6DY7YGFVZDOZF}
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 | 2026-05-18T00:33:05.434098Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35029cb0c92a0c057878fe0c5ae46ec97f518b9343a5a85d842e1e64c833ef45
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GUBJZMGJFIGAK6DY7YGFVZDOZF \
| 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: 35029cb0c92a0c057878fe0c5ae46ec97f518b9343a5a85d842e1e64c833ef45
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b5ffb4d7032fffa0b5cb3c7c7677cd359a1cdc4eb39bb56e672b42c5c4d9d833",
"cross_cats_sorted": [
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2017-10-11T09:31:38Z",
"title_canon_sha256": "111ebb7d6d23e2ca5b5d2e80ee3341cbfdf585b9762a1328100be813d6c2f0e3"
},
"schema_version": "1.0",
"source": {
"id": "1710.03975",
"kind": "arxiv",
"version": 1
}
}