Pith Number
pith:SBNWHRWO
pith:2020:SBNWHRWOKK3VUFUQD25X4IXPTY
not attested
not anchored
not stored
refs pending
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems
arxiv:2009.06825 v1 · 2020-09-15 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SBNWHRWOKK3VUFUQD25X4IXPTY}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T01:35:13.596127Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
905b63c6ce52b75a16901ebb7e22ef9e1e6f5a9d7a5c07df613fdeaf20288cd1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SBNWHRWOKK3VUFUQD25X4IXPTY \
| 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: 905b63c6ce52b75a16901ebb7e22ef9e1e6f5a9d7a5c07df613fdeaf20288cd1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "62600263ae45759cd8acb4e57bec2b743a7d663daa38d4230b8fc7c344620850",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-09-15T02:01:47Z",
"title_canon_sha256": "d73e6a9cd08b894ce4022a7e0a067dba7de7960f4c4353bee4a427acee778a41"
},
"schema_version": "1.0",
"source": {
"id": "2009.06825",
"kind": "arxiv",
"version": 1
}
}