Pith Number
pith:ETRPQCTL
pith:2018:ETRPQCTLJ7OR7SXCHAM4AI47XZ
not attested
not anchored
not stored
refs pending
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
arxiv:1812.07106 v1 · 2018-12-12 · cs.CV · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ETRPQCTLJ7OR7SXCHAM4AI47XZ}
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 | 2026-05-17T23:58:07.986224Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
24e2f80a6b4fdd1fcae23819c0239fbe481866a84b3c6a491390f7e1dfadb9e2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ETRPQCTLJ7OR7SXCHAM4AI47XZ \
| 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: 24e2f80a6b4fdd1fcae23819c0239fbe481866a84b3c6a491390f7e1dfadb9e2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a06a0d5727ec7144a3cf6af41fb4ab21382ad433d17b491a86474e3e37906610",
"cross_cats_sorted": [
"cs.LG",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-12T22:22:16Z",
"title_canon_sha256": "d75c4ab011d556e4b896b705325a5c621ae21ebb4e09fa25617949ea6b0d67a0"
},
"schema_version": "1.0",
"source": {
"id": "1812.07106",
"kind": "arxiv",
"version": 1
}
}