Pith Number
pith:XFAWENN6
pith:2021:XFAWENN6CDJZAEOXTMNWGHRQPC
not attested
not anchored
not stored
refs pending
A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method
arxiv:2112.05372 v1 · 2021-12-10 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XFAWENN6CDJZAEOXTMNWGHRQPC}
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
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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 | 2026-07-05T03:39:40.593149Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9416235be10d39011d79b1b631e307898e58e90fac67f9e4b62f0c729f5e681
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XFAWENN6CDJZAEOXTMNWGHRQPC \
| 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: b9416235be10d39011d79b1b631e307898e58e90fac67f9e4b62f0c729f5e681
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9bad0f94a240744d63882ba2d2a83bee939cdd6d8f16746507e4488df8c21423",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2021-12-10T08:02:31Z",
"title_canon_sha256": "8062fd5a2e417fcf2a809ce276bee8c224e1e13453fa90f8a8633a00777aef88"
},
"schema_version": "1.0",
"source": {
"id": "2112.05372",
"kind": "arxiv",
"version": 1
}
}