Pith Number
pith:MVPJ77KP
pith:2026:MVPJ77KP7WEPZDSYYKH6AFGTGD
not attested
not anchored
not stored
refs pending
SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
arxiv:2607.04848 v1 · 2026-07-06 · cs.SD · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MVPJ77KP7WEPZDSYYKH6AFGTGD}
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 | 2026-07-07T02:20:07.046340Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
655e9ffd4ffd88fc8e58c28fe014d330d351ac5e06c8542f5dcb2f46e3181185
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MVPJ77KP7WEPZDSYYKH6AFGTGD \
| 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: 655e9ffd4ffd88fc8e58c28fe014d330d351ac5e06c8542f5dcb2f46e3181185
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbdacbdfb5537741e0118cbf0343a728b339bc641b1b463b66f2638ca8a00bd3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2026-07-06T09:19:03Z",
"title_canon_sha256": "9b91381cf7ec9f67a73510b4158a831535852f9a994ba059b31c17c5ad165baa"
},
"schema_version": "1.0",
"source": {
"id": "2607.04848",
"kind": "arxiv",
"version": 1
}
}