Pith Number
pith:EAMRHYNO
pith:2023:EAMRHYNOCC3DVT3DKDQROCDPYN
not attested
not anchored
not stored
refs pending
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
arxiv:2312.09417 v2 · 2023-11-27 · eess.SP · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EAMRHYNOCC3DVT3DKDQROCDPYN}
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
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4
Citations
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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 | 2026-07-05T07:53:13.512071Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
201913e1ae10b63acf6350e117086fc36b2ab76d0af3c2e4e0c2789aa628abd6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EAMRHYNOCC3DVT3DKDQROCDPYN \
| 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: 201913e1ae10b63acf6350e117086fc36b2ab76d0af3c2e4e0c2789aa628abd6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49e223ff9a6110f78247438a8031c8f8644837c8baeab15a88933dfcd7d1f3fb",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2023-11-27T11:09:39Z",
"title_canon_sha256": "ddf892a47f86109a16a38da948758314ad229576cf783ea26bb2f75d3d6abee3"
},
"schema_version": "1.0",
"source": {
"id": "2312.09417",
"kind": "arxiv",
"version": 2
}
}