Pith Number
pith:P3VITPZN
pith:2025:P3VITPZNPNRU4OMFNPNUHOEJ73
not attested
not anchored
not stored
refs pending
Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network
arxiv:2508.19308 v1 · 2025-08-26 · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P3VITPZNPNRU4OMFNPNUHOEJ73}
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 | 2026-07-05T11:59:42.884636Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7eea89bf2d7b634e39856bdb43b889fedf6b37cb590d3281200b625deb3c870f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73 \
| 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: 7eea89bf2d7b634e39856bdb43b889fedf6b37cb590d3281200b625deb3c870f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b475ca832f6d0ebc67ddec650edfa35b68b471ca9048a9eec7571d964668334c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2025-08-26T08:07:36Z",
"title_canon_sha256": "5f71def45aa3ba1a6eaf3f5a74918c2b42933ea9d0ca041067ee4987ccb38685"
},
"schema_version": "1.0",
"source": {
"id": "2508.19308",
"kind": "arxiv",
"version": 1
}
}