Pith Number
pith:LX7Y7DU6
pith:2017:LX7Y7DU64XSHI2TKAPCHZRRCBV
not attested
not anchored
not stored
refs pending
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
arxiv:1709.04057 v2 · 2017-09-12 · cs.NE · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LX7Y7DU64XSHI2TKAPCHZRRCBV}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:22:49.265356Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5dff8f8e9ee5e4746a6a03c47cc6220d5870b426200f9ae307363beca814152a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LX7Y7DU64XSHI2TKAPCHZRRCBV \
| 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: 5dff8f8e9ee5e4746a6a03c47cc6220d5870b426200f9ae307363beca814152a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "67974c1357b735012b02b21c0782409214d9091382c4121f81342b726817d552",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2017-09-12T20:52:22Z",
"title_canon_sha256": "f9f737f2913dcbb84496927450cfcf966202324235725150b202ab396acb5f66"
},
"schema_version": "1.0",
"source": {
"id": "1709.04057",
"kind": "arxiv",
"version": 2
}
}