Pith Number
pith:OVCKFTYN
pith:2018:OVCKFTYNNIEZMSX5VRNXPBYMGW
not attested
not anchored
not stored
refs pending
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
arxiv:1806.06626 v1 · 2018-06-18 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OVCKFTYNNIEZMSX5VRNXPBYMGW}
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 | 2026-05-18T00:13:01.823592Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7544a2cf0d6a09964afdac5b77870c3582ab1d4620051265488aae261be19f62
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OVCKFTYNNIEZMSX5VRNXPBYMGW \
| 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: 7544a2cf0d6a09964afdac5b77870c3582ab1d4620051265488aae261be19f62
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e4938732c1eacfe6fbdcd279ed7614ccf88ef755f0158cc7d8bb28312e2554a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-06-18T12:21:18Z",
"title_canon_sha256": "c23e0092b65c47c2a6c284f79c92ba1233cdaac6027795c93b9a952956a78885"
},
"schema_version": "1.0",
"source": {
"id": "1806.06626",
"kind": "arxiv",
"version": 1
}
}